WorldWideScience

Sample records for chain performance metrics

  1. Performance Metrics in Supply Chain Management. Evidence from Romanian Economy

    Directory of Open Access Journals (Sweden)

    Alexandru Constăngioară

    2013-02-01

    Full Text Available The proposed empirical research uses a national sample of 19 Romanian companies from various industries to estimate de utilities for financial and non-financial performance measures used in Romanian supply chains. Empirical findings show that national supply chain measurement systems are balanced, using both financial and non-financial performance measures. The high estimated utility corresponding to indicators measuring logistic costs provides evidence that inter-functional and inter-organization integration in supply chains at national level are realized through operational excellence. Achieving the full potential of supply chain integration requires that management fosters both integration of operations and integration of customers.

  2. Evaluation of performance metrics of leagile supply chain through fuzzy MCDM

    Directory of Open Access Journals (Sweden)

    D. Venkata Ramana

    2013-07-01

    Full Text Available Leagile supply chain management has emerged as a proactive approach for improving business value of companies. The companies that face volatile and unpredictable market demand of their products must pioneer in leagile supply chain strategy for competition and various demands of customers. There are literally many approaches for performance metrics of supply chain in general, yet little investigation has identified the reliability and validity of such approaches particularly in leagile supply chains. This study examines the consistency approaches by confirmatory factor analysis that determines the adoption of performance dimensions. The prioritization of performance enablers under these dimensions of leagile supply chain in small and medium enterprises are determined through fuzzy logarithmic least square method (LLSM. The study developed a generic hierarchy model for decision-makers who can prioritize the supply chain metrics under performance dimensions of leagile supply chain.

  3. Supply Chain and Network Performance: Metrics for Profitability, Productivity and Efficiency

    Directory of Open Access Journals (Sweden)

    Robert D. Weaver

    2010-01-01

    Full Text Available The architecture of the firm involves determination of a boundary that encompasses the functions managed by the firm. The past decade has seen substantial reorganization of firms where vertical or horizontal integration has been unbundled into weaker forms of collaborations including value chains and networks. This observation has forced a re-conceptualization of the boundaries of the firm to incorporate such collaborations. These collaborations are virtual and highly dynamic. They emerge and persist when two conditions are met. First, they must enable generation of greater value than might be attained through independent operation and anonymous transactions through markets. Second, the resulting growth must be shared with members in a way that retains their participation. Each of these conditions can be verified only if performance of the collaboration can be established. This paper recognizes the need for “metrics of performance” that are by necessity operationally feasible to measure. While conceptual approaches have been studied in the management literature, this paper considers from theoretic perspectives these issues and derives measures of the performance of the overall collaboration as well as of the participating enterprises. The paper presents a framework that can be applied to both vertical and horizontal collaborations as found in supply chains and networks. The paper offers suggestions on empirical methods for estimation of measures derived.

  4. CWT and RWT Metrics Measure the Performance of the Army's Logistics Chain for Spare Parts

    National Research Council Canada - National Science Library

    2003-01-01

    .... As part of its efforts to improve the logistics chain for spare parts, the Army must measure the performance of its supply system in filling orders for materiel. Velocity Management (VM) is a RAND-developed and Army implemented system that measures such performance and seeks ways to improve it through its Define-Measure- Improve (DMI) methodology. As the term DMI implies, measurement is central to this improvement approach.

  5. Performance metric optimization advocates CPFR in supply chains: A system dynamics model based study

    OpenAIRE

    Balaji Janamanchi; James R. Burns

    2016-01-01

    Background: Supply Chain partners often find themselves in rather helpless positions, unable to improve their firm’s performance and profitability because their partners although willing to share production information do not fully collaborate in tackling customer order variations as they don’t seem to appreciate the benefits of such collaboration. Methods: We use a two-player (supplier-manufacturer) System Dynamics model to study the dynamics to assess the impact and usefulness of supply cha...

  6. Prognostic Performance Metrics

    Data.gov (United States)

    National Aeronautics and Space Administration — This chapter presents several performance metrics for offline evaluation of prognostics algorithms. A brief overview of different methods employed for performance...

  7. CWT and RWT Metrics Measure the Performance of the Army's Logistics Chain for Spare Parts

    National Research Council Canada - National Science Library

    2003-01-01

    .... A responsive logistics chain for spare parts is also critical in deployments. When Army personnel know that parts can be quickly and dependably supplied through the logistics chain, units can deploy with fewer "just in case" supplies...

  8. Increasing Army Supply Chain Performance: Using an Integrated End to End Metrics System

    Science.gov (United States)

    2017-01-01

    Sched Deliver Sched Delinquent Contracts Current Metrics PQDR/SDRs Forecasting Accuracy Reliability Demand Management Asset Mgmt Strategies Pipeline...are identified and characterized by statistical analysis. The study proposed a framework and tool for inventory management based on factors such as

  9. CWT and RWT Metrics Measure the Performance of the Army's Logistics Chain for Spare Parts

    National Research Council Canada - National Science Library

    2003-01-01

    .... Maintaining these weapon systems requires that spare parts be available where and when they are needed. Thus, the responsive functioning of the logistics chain for spare parts is critical to keeping equipment ready to operate...

  10. Tracker Performance Metric

    National Research Council Canada - National Science Library

    Olson, Teresa; Lee, Harry; Sanders, Johnnie

    2002-01-01

    .... We have developed the Tracker Performance Metric (TPM) specifically for this purpose. It was designed to measure the output performance, on a frame-by-frame basis, using its output position and quality...

  11. Engineering performance metrics

    Science.gov (United States)

    Delozier, R.; Snyder, N.

    1993-03-01

    Implementation of a Total Quality Management (TQM) approach to engineering work required the development of a system of metrics which would serve as a meaningful management tool for evaluating effectiveness in accomplishing project objectives and in achieving improved customer satisfaction. A team effort was chartered with the goal of developing a system of engineering performance metrics which would measure customer satisfaction, quality, cost effectiveness, and timeliness. The approach to developing this system involved normal systems design phases including, conceptual design, detailed design, implementation, and integration. The lessons teamed from this effort will be explored in this paper. These lessons learned may provide a starting point for other large engineering organizations seeking to institute a performance measurement system accomplishing project objectives and in achieving improved customer satisfaction. To facilitate this effort, a team was chartered to assist in the development of the metrics system. This team, consisting of customers and Engineering staff members, was utilized to ensure that the needs and views of the customers were considered in the development of performance measurements. The development of a system of metrics is no different than the development of any type of system. It includes the steps of defining performance measurement requirements, measurement process conceptual design, performance measurement and reporting system detailed design, and system implementation and integration.

  12. Measuring Success: Metrics that Link Supply Chain Management to Aircraft Readiness

    National Research Council Canada - National Science Library

    Balestreri, William

    2002-01-01

    This thesis evaluates and analyzes current strategic management planning methods that develop performance metrics linking supply chain management to aircraft readiness, Our primary focus is the Marine...

  13. Residential Energy Performance Metrics

    Directory of Open Access Journals (Sweden)

    Christopher Wright

    2010-06-01

    Full Text Available Techniques for residential energy monitoring are an emerging field that is currently drawing significant attention. This paper is a description of the current efforts to monitor and compare the performance of three solar powered homes built at Missouri University of Science and Technology. The homes are outfitted with an array of sensors and a data logger system to measure and record electricity production, system energy use, internal home temperature and humidity, hot water production, and exterior ambient conditions the houses are experiencing. Data is being collected to measure the performance of the houses, compare to energy modeling programs, design and develop cost effective sensor systems for energy monitoring, and produce a cost effective home control system.

  14. On the Metric-based Approximate Minimization of Markov Chains

    DEFF Research Database (Denmark)

    Bacci, Giovanni; Bacci, Giorgio; Larsen, Kim Guldstrand

    2018-01-01

    In this paper we address the approximate minimization problem of Markov Chains (MCs) from a behavioral metric-based perspective. Specifically, given a finite MC and a positive integer k, we are looking for an MC with at most k states having minimal distance to the original. The metric considered...

  15. On the Metric-Based Approximate Minimization of Markov Chains

    DEFF Research Database (Denmark)

    Bacci, Giovanni; Bacci, Giorgio; Larsen, Kim Guldstrand

    2017-01-01

    We address the behavioral metric-based approximate minimization problem of Markov Chains (MCs), i.e., given a finite MC and a positive integer k, we are interested in finding a k-state MC of minimal distance to the original. By considering as metric the bisimilarity distance of Desharnais at al...

  16. Metrics for building performance assurance

    Energy Technology Data Exchange (ETDEWEB)

    Koles, G.; Hitchcock, R.; Sherman, M.

    1996-07-01

    This report documents part of the work performed in phase I of a Laboratory Directors Research and Development (LDRD) funded project entitled Building Performance Assurances (BPA). The focus of the BPA effort is to transform the way buildings are built and operated in order to improve building performance by facilitating or providing tools, infrastructure, and information. The efforts described herein focus on the development of metrics with which to evaluate building performance and for which information and optimization tools need to be developed. The classes of building performance metrics reviewed are (1) Building Services (2) First Costs, (3) Operating Costs, (4) Maintenance Costs, and (5) Energy and Environmental Factors. The first category defines the direct benefits associated with buildings; the next three are different kinds of costs associated with providing those benefits; the last category includes concerns that are broader than direct costs and benefits to the building owner and building occupants. The level of detail of the various issues reflect the current state of knowledge in those scientific areas and the ability of the to determine that state of knowledge, rather than directly reflecting the importance of these issues; it intentionally does not specifically focus on energy issues. The report describes work in progress and is intended as a resource and can be used to indicate the areas needing more investigation. Other reports on BPA activities are also available.

  17. Biofuel Supply Chains: Impacts, Indicators and Sustainability Metrics

    Science.gov (United States)

    The U.S. EPA’s Office of Research and Development has introduced a program to study the environmental impacts and sustainability of biofuel supply chains. Analyses will provide indicators and metrics for valuating sustainability. In this context, indicators are supply chain rat...

  18. EVALUATION OF SERVICE SUPPLY CHAIN PERFORMANCE CRITERIA WITH DANP METHOD

    OpenAIRE

    ÖZVERİ, Onur; GÜÇLÜ, Pembe; AYCİN, Ejder

    2018-01-01

    Despite the service industry composes large part of the world economy, the academic studies and applications on supply chain are mainly about production industry. Because of the different structure of services, the service supply chain and also performance criteria-metrics differ from the product supply chain. The aim of this paper is to evaluate the supply chain performance metrics for restaurant sector. For this purpose in the first and second part of the paper the service supply chain conc...

  19. Supply chain oriented performance measurement for automotive spare parts

    NARCIS (Netherlands)

    de Leeuw, S.L.J.M.; Beekman, L.

    2008-01-01

    Literature provides a number of conceptual frameworks and discussions on performance measurement in supply chains. However, most of these frameworks focus on a single link of a supply chain. Furthermore, there is a lack of empirical analysis and case studies on performance metrics and measurements

  20. Converging from Branching to Linear Metrics on Markov Chains

    DEFF Research Database (Denmark)

    Bacci, Giorgio; Bacci, Giovanni; Larsen, Kim Guldstrand

    2015-01-01

    time in the size of the MC. The upper-approximants are Kantorovich-like pseudometrics, i.e. branching-time distances, that converge point-wise to the linear-time metrics. This convergence is interesting in itself, since it reveals a nontrivial relation between branching and linear-time metric...

  1. Performance Modeling of Communication Networks with Markov Chains

    CERN Document Server

    Mo, Jeonghoon

    2010-01-01

    This book is an introduction to Markov chain modeling with applications to communication networks. It begins with a general introduction to performance modeling in Chapter 1 where we introduce different performance models. We then introduce basic ideas of Markov chain modeling: Markov property, discrete time Markov chain (DTMe and continuous time Markov chain (CTMe. We also discuss how to find the steady state distributions from these Markov chains and how they can be used to compute the system performance metric. The solution methodologies include a balance equation technique, limiting probab

  2. Converging from branching to linear metrics on Markov chains

    DEFF Research Database (Denmark)

    Bacci, Giorgio; Bacci, Giovanni; Larsen, Kim G.

    2017-01-01

    -approximant is computable in polynomial time in the size of the MC. The upper-approximants are bisimilarity-like pseudometrics (hence, branching-time distances) that converge point-wise to the linear-time metrics. This convergence is interesting in itself, because it reveals a nontrivial relation between branching...

  3. Metric-based approach and tool for modeling the I and C system using Markov chains

    International Nuclear Information System (INIS)

    Butenko, Valentyna; Kharchenko, Vyacheslav; Odarushchenko, Elena; Butenko, Dmitriy

    2015-01-01

    Markov's chains (MC) are well-know and widely applied in dependability and performability analysis of safety-critical systems, because of the flexible representation of system components dependencies and synchronization. There are few radblocks for greater application of the MC: accounting the additional system components increases the model state-space and complicates analysis; the non-numerically sophisticated user may find it difficult to decide between the variety of numerical methods to determine the most suitable and accurate for their application. Thus obtaining the high accurate and trusted modeling results becomes a nontrivial task. In this paper, we present the metric-based approach for selection of the applicable solution approach, based on the analysis of MCs stiffness, decomposability, sparsity and fragmentedness. Using this selection procedure the modeler can provide the verification of earlier obtained results. The presented approach was implemented in utility MSMC, which supports the MC construction, metric-based analysis, recommendations shaping and model solution. The model can be exported to the wall-known off-the-shelf mathematical packages for verification. The paper presents the case study of the industrial NPP I and C system, manufactured by RPC Radiy. The paper shows an application of metric-based approach and MSMC fool for dependability and safety analysis of RTS, and procedure of results verification. (author)

  4. 77 FR 12832 - Non-RTO/ISO Performance Metrics; Commission Staff Request Comments on Performance Metrics for...

    Science.gov (United States)

    2012-03-02

    ... Performance Metrics; Commission Staff Request Comments on Performance Metrics for Regions Outside of RTOs and... performance communicate about the benefits of RTOs and, where appropriate, (2) changes that need to be made to... common set of performance measures for markets both within and outside of ISOs/RTOs. As recommended by...

  5. Performance metrics for the evaluation of hyperspectral chemical identification systems

    Science.gov (United States)

    Truslow, Eric; Golowich, Steven; Manolakis, Dimitris; Ingle, Vinay

    2016-02-01

    Remote sensing of chemical vapor plumes is a difficult but important task for many military and civilian applications. Hyperspectral sensors operating in the long-wave infrared regime have well-demonstrated detection capabilities. However, the identification of a plume's chemical constituents, based on a chemical library, is a multiple hypothesis testing problem which standard detection metrics do not fully describe. We propose using an additional performance metric for identification based on the so-called Dice index. Our approach partitions and weights a confusion matrix to develop both the standard detection metrics and identification metric. Using the proposed metrics, we demonstrate that the intuitive system design of a detector bank followed by an identifier is indeed justified when incorporating performance information beyond the standard detection metrics.

  6. Evaluating hydrological model performance using information theory-based metrics

    Science.gov (United States)

    The accuracy-based model performance metrics not necessarily reflect the qualitative correspondence between simulated and measured streamflow time series. The objective of this work was to use the information theory-based metrics to see whether they can be used as complementary tool for hydrologic m...

  7. Performance evaluation of routing metrics for wireless mesh networks

    CSIR Research Space (South Africa)

    Nxumalo, SL

    2009-08-01

    Full Text Available for WMN. The routing metrics have not been compared with QoS parameters. This paper is a work in progress of the project in which researchers want to compare the performance of different routing metrics in WMN using a wireless test bed. Researchers...

  8. Toward a More Responsive Consumable Materiel Supply Chain: Leveraging New Metrics to Identify and Classify Items of Concern

    Science.gov (United States)

    2016-06-01

    MATERIEL SUPPLY CHAIN: LEVERAGING NEW METRICS TO IDENTIFY AND CLASSIFY ITEMS OF CONCERN by Andrew R. Haley June 2016 Thesis Advisor: Robert...IDENTIFY AND CLASSIFY ITEMS OF CONCERN 5. FUNDING NUMBERS 6. AUTHOR(S) Andrew R. Haley 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval...Supply Systems Command (NAVSUP), logistics, inventory, consumable, NSNs at Risk, Bad Actors, Bad Actors with Trend, items of concern , customer time

  9. Metrics for Performance Evaluation of Patient Exercises during Physical Therapy.

    Science.gov (United States)

    Vakanski, Aleksandar; Ferguson, Jake M; Lee, Stephen

    2017-06-01

    The article proposes a set of metrics for evaluation of patient performance in physical therapy exercises. Taxonomy is employed that classifies the metrics into quantitative and qualitative categories, based on the level of abstraction of the captured motion sequences. Further, the quantitative metrics are classified into model-less and model-based metrics, in reference to whether the evaluation employs the raw measurements of patient performed motions, or whether the evaluation is based on a mathematical model of the motions. The reviewed metrics include root-mean square distance, Kullback Leibler divergence, log-likelihood, heuristic consistency, Fugl-Meyer Assessment, and similar. The metrics are evaluated for a set of five human motions captured with a Kinect sensor. The metrics can potentially be integrated into a system that employs machine learning for modelling and assessment of the consistency of patient performance in home-based therapy setting. Automated performance evaluation can overcome the inherent subjectivity in human performed therapy assessment, and it can increase the adherence to prescribed therapy plans, and reduce healthcare costs.

  10. GPS Device Testing Based on User Performance Metrics

    Science.gov (United States)

    2015-10-02

    1. Rationale for a Test Program Based on User Performance Metrics ; 2. Roberson and Associates Test Program ; 3. Status of, and Revisions to, the Roberson and Associates Test Program ; 4. Comparison of Roberson and DOT/Volpe Programs

  11. Greenroads : a sustainability performance metric for roadway design and construction.

    Science.gov (United States)

    2009-11-01

    Greenroads is a performance metric for quantifying sustainable practices associated with roadway design and construction. Sustainability is defined as having seven key components: ecology, equity, economy, extent, expectations, experience and exposur...

  12. SIP end to end performance metrics

    OpenAIRE

    Vozňák, Miroslav; Rozhon, Jan

    2012-01-01

    The paper deals with a SIP performance testing methodology. The main contribution to the field of performance testing of SIP infrastructure consists in the possibility to perform the standardized stress tests with the developed SIP TesterApp without a deeper knowledge in the area of SIP communication. The developed tool exploits several of open-source applications such as jQuery, Python, JSON and the cornerstone SIP generator SIPp, the result is highly modifiable and the ...

  13. Critical review of safety performance metrics

    NARCIS (Netherlands)

    Karanikas, Nektarios

    2016-01-01

    Various tools for safety performance measurement have been introduced in order to fulfil the need for safety monitoring in organisations, which is tightly related to their overall performance and achievement of their business goals. Such tools include accident rates, benchmarking, safety culture and

  14. A key performance measures for evaluating cold supply chain performance in farm industry

    Directory of Open Access Journals (Sweden)

    Shashi Shashi

    2015-08-01

    Full Text Available The main objective of this study was to develop a set of measures, evaluate their importance and effect in cold supply chain performance. This investigation reviewed previous research works on all the stages of the farm product supply chain. Based on farm product supply chain, 4 measures with 31 metrics were identified and developed to measure the cold supply chain performance. A survey was organized to establish the importance and the effect of identified measures. The 5 point Likert scale questionnaire was distributed among SC academics and practitioners. The observed finding infers that the measurement instrument was substantiating for evaluating cold supply chain performance in farm industry. The new developed metrics will help firms improve the visibility of supply among partners and in better decision making. The investigation was enfolded up through the plan of direction intended for future study.

  15. Wave and Wind Model Performance Metrics Tools

    Science.gov (United States)

    Choi, J. K.; Wang, D. W.

    2016-02-01

    Continual improvements and upgrades of Navy ocean wave and wind models are essential to the assurance of battlespace environment predictability of ocean surface wave and surf conditions in support of Naval global operations. Thus, constant verification and validation of model performance is equally essential to assure the progress of model developments and maintain confidence in the predictions. Global and regional scale model evaluations may require large areas and long periods of time. For observational data to compare against, altimeter winds and waves along the tracks from past and current operational satellites as well as moored/drifting buoys can be used for global and regional coverage. Using data and model runs in previous trials such as the planned experiment, the Dynamics of the Adriatic in Real Time (DART), we demonstrated the use of accumulated altimeter wind and wave data over several years to obtain an objective evaluation of the performance the SWAN (Simulating Waves Nearshore) model running in the Adriatic Sea. The assessment provided detailed performance of wind and wave models by using cell-averaged statistical variables maps with spatial statistics including slope, correlation, and scatter index to summarize model performance. Such a methodology is easily generalized to other regions and at global scales. Operational technology currently used by subject matter experts evaluating the Navy Coastal Ocean Model and the Hybrid Coordinate Ocean Model can be expanded to evaluate wave and wind models using tools developed for ArcMAP, a GIS application developed by ESRI. Recent inclusion of altimeter and buoy data into a format through the Naval Oceanographic Office's (NAVOCEANO) quality control system and the netCDF standards applicable to all model output makes it possible for the fusion of these data and direct model verification. Also, procedures were developed for the accumulation of match-ups of modelled and observed parameters to form a data base

  16. On Railroad Tank Car Puncture Performance: Part I - Considering Metrics

    Science.gov (United States)

    2016-04-12

    This paper is the first in a two-part series on the puncture performance of railroad tank cars carrying hazardous materials in the event of an accident. Various metrics are often mentioned in the open literature to characterize the structural perform...

  17. Nova chain design and performance

    International Nuclear Information System (INIS)

    Simmons, W.W.; Glaze, J.A.; Trenholme, J.B.; Hagen, W.F.

    1980-01-01

    During the past year design of the Nova laser has undergone significant change as a result of developments in our laser glass and optical coating evaluation programs. Two notable aspects of the glass development program deserve emphasis. First, vendor qualification for production of fluorophosphate laser glass is progressing satisfactorily. There is a reasonable expectation that vendors can meet fluorophosphate glass specifications within Nova schedule constraints. Secondly, recent gain saturation measurements have shown that the saturation fluence of the fluorophosphate glass is larger than previously supposed (approx. 5.5 J/cm 2 ) and in fact is somewhat larger than Shiva silicate glasses. Hence, performance of Nova for pulses in the 3 ns and longer range should be satisfactory. For pulses in the 1 ns regime, of course, the fluorophosphate chain will have superior performance to that of silicate because of its low nonlinear index of refraction (approx. 30% that of silicate). These and other considerations have led us to choose a chain design based upon the use of fluorophosphate glass in our amplifiers

  18. 75 FR 7581 - RTO/ISO Performance Metrics; Notice Requesting Comments on RTO/ISO Performance Metrics

    Science.gov (United States)

    2010-02-22

    ... performance communicate about the benefits of RTOs and, where appropriate, (2) changes that need to be made to... of staff from all the jurisdictional ISOs/RTOs to develop a set of performance metrics that the ISOs/RTOs will use to report annually to the Commission. Commission staff and representatives from the ISOs...

  19. On Railroad Tank Car Puncture Performance: Part II - Estimating Metrics

    Science.gov (United States)

    2016-04-12

    This paper is the second in a two-part series on the puncture performance of railroad tank cars carrying hazardous materials in the event of an accident. Various metrics are often mentioned in the open literature to characterize the structural perfor...

  20. Deep Energy Retrofit Performance Metric Comparison: Eight California Case Studies

    Energy Technology Data Exchange (ETDEWEB)

    Walker, Iain [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Fisher, Jeremy [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Less, Brennan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2014-06-01

    In this paper we will present the results of monitored annual energy use data from eight residential Deep Energy Retrofit (DER) case studies using a variety of performance metrics. For each home, the details of the retrofits were analyzed, diagnostic tests to characterize the home were performed and the homes were monitored for total and individual end-use energy consumption for approximately one year. Annual performance in site and source energy, as well as carbon dioxide equivalent (CO2e) emissions were determined on a per house, per person and per square foot basis to examine the sensitivity to these different metrics. All eight DERs showed consistent success in achieving substantial site energy and CO2e reductions, but some projects achieved very little, if any source energy reduction. This problem emerged in those homes that switched from natural gas to electricity for heating and hot water, resulting in energy consumption dominated by electricity use. This demonstrates the crucial importance of selecting an appropriate metric to be used in guiding retrofit decisions. Also, due to the dynamic nature of DERs, with changes in occupancy, size, layout, and comfort, several performance metrics might be necessary to understand a project’s success.

  1. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

    Directory of Open Access Journals (Sweden)

    Bernardin Keni

    2008-01-01

    Full Text Available Abstract Simultaneous tracking of multiple persons in real-world environments is an active research field and several approaches have been proposed, based on a variety of features and algorithms. Recently, there has been a growing interest in organizing systematic evaluations to compare the various techniques. Unfortunately, the lack of common metrics for measuring the performance of multiple object trackers still makes it hard to compare their results. In this work, we introduce two intuitive and general metrics to allow for objective comparison of tracker characteristics, focusing on their precision in estimating object locations, their accuracy in recognizing object configurations and their ability to consistently label objects over time. These metrics have been extensively used in two large-scale international evaluations, the 2006 and 2007 CLEAR evaluations, to measure and compare the performance of multiple object trackers for a wide variety of tracking tasks. Selected performance results are presented and the advantages and drawbacks of the presented metrics are discussed based on the experience gained during the evaluations.

  2. Reconstructing 1/2 BPS space-time metrics from matrix models and spin chains

    International Nuclear Information System (INIS)

    Vazquez, Samuel E.

    2007-01-01

    Using the anti-de Sitter/conformal field theories (AdS/CFT) correspondence, we address the question of how to measure complicated space-time metrics using gauge theory probes. In particular, we consider the case of the 1/2 Bogomol'nyi-Prasad-Sommerfield geometries of type IIB supergravity. These geometries are classified by certain droplets in a two-dimensional spacelike hypersurface. We show how to reconstruct the full metric inside these droplets using the one-loop N=4 super Yang-Mills theory dilatation operator. This is done by considering long operators in the SU(2) sector, which are dual to fast rotating strings on the droplets. We develop new powerful techniques for large N complex matrix models that allow us to construct the Hamiltonian for these strings. We find that the Hamiltonian can be mapped to a dynamical spin chain. That is, the length of the chain is not fixed. Moreover, all of these spin chains can be explicitly constructed using an interesting algebra which is derived from the matrix model. Our techniques work for general droplet configurations. As an example, we study a single elliptical droplet and the hypotrochoid

  3. Performance evaluation of objective quality metrics for HDR image compression

    Science.gov (United States)

    Valenzise, Giuseppe; De Simone, Francesca; Lauga, Paul; Dufaux, Frederic

    2014-09-01

    Due to the much larger luminance and contrast characteristics of high dynamic range (HDR) images, well-known objective quality metrics, widely used for the assessment of low dynamic range (LDR) content, cannot be directly applied to HDR images in order to predict their perceptual fidelity. To overcome this limitation, advanced fidelity metrics, such as the HDR-VDP, have been proposed to accurately predict visually significant differences. However, their complex calibration may make them difficult to use in practice. A simpler approach consists in computing arithmetic or structural fidelity metrics, such as PSNR and SSIM, on perceptually encoded luminance values but the performance of quality prediction in this case has not been clearly studied. In this paper, we aim at providing a better comprehension of the limits and the potentialities of this approach, by means of a subjective study. We compare the performance of HDR-VDP to that of PSNR and SSIM computed on perceptually encoded luminance values, when considering compressed HDR images. Our results show that these simpler metrics can be effectively employed to assess image fidelity for applications such as HDR image compression.

  4. A performance measurement framework for the South African bulk export wine supply chain

    OpenAIRE

    Johan B. Smit; Joubert van Eeden; Frances E. van Dyk

    2017-01-01

    Background: Many participants in the South African wine industry still exhibit low supply chain maturity in the management of their supply chains. This hampers export performance and ultimately client satisfaction. The development and tracking of appropriate metrics are key steps in improving supply chain performance. Objectives: The purpose of this study was to develop a performance measurement framework for the South African wine industry, focussing on the bulk export segment. Metho...

  5. Metrics help rural hospitals achieve world-class performance.

    Science.gov (United States)

    Goodspeed, Scott W

    2006-01-01

    This article describes the emerging trend of using metrics in rural hospitals to achieve world-class performance. This trend is a response to the fact that rural hospitals have small patient volumes yet must maintain a profit margin in order to fulfill their mission to the community. The conceptual idea for this article is based largely on Robert Kaplan and David Norton's Balanced Scorecard articles in the Harvard Business Review. The ideas also come from the experiences of the 60-plus rural hospitals that are using the Balanced Scorecard and their implementation of metrics to influence performance and behavior. It is indeed possible for rural hospitals to meet and exceed the unique needs of patients and physicians (customers), to achieve healthy profit margins, and to be the rural hospital of choice that employees are proud to work for.

  6. PRINCIPLES OF THE SUPPLY CHAIN PERFORMANCE MEASUREMENT

    OpenAIRE

    BEATA ŒLUSARCZYK; SEBASTIAN KOT

    2012-01-01

    Measurement of performance in every business management is a crucial activity allowing for effectiveness increase. The lack of suitable performance measurement is especially noticed in complex systems as supply chains. Responsible persons cannot manage effectively without suitable set of measures those are base for comparison to previous data or effects of other supply chain functioning. The analysis shows that it is very hard to find balanced set of supply chain performance measures those sh...

  7. An analytical model of the HINT performance metric

    Energy Technology Data Exchange (ETDEWEB)

    Snell, Q.O.; Gustafson, J.L. [Scalable Computing Lab., Ames, IA (United States)

    1996-10-01

    The HINT benchmark was developed to provide a broad-spectrum metric for computers and to measure performance over the full range of memory sizes and time scales. We have extended our understanding of why HINT performance curves look the way they do and can now predict the curves using an analytical model based on simple hardware specifications as input parameters. Conversely, by fitting the experimental curves with the analytical model, hardware specifications such as memory performance can be inferred to provide insight into the nature of a given computer system.

  8. Wireless sensor network performance metrics for building applications

    Energy Technology Data Exchange (ETDEWEB)

    Jang, W.S. (Department of Civil Engineering Yeungnam University 214-1 Dae-Dong, Gyeongsan-Si Gyeongsangbuk-Do 712-749 South Korea); Healy, W.M. [Building and Fire Research Laboratory, 100 Bureau Drive, Gaithersburg, MD 20899-8632 (United States)

    2010-06-15

    Metrics are investigated to help assess the performance of wireless sensors in buildings. Wireless sensor networks present tremendous opportunities for energy savings and improvement in occupant comfort in buildings by making data about conditions and equipment more readily available. A key barrier to their adoption, however, is the uncertainty among users regarding the reliability of the wireless links through building construction. Tests were carried out that examined three performance metrics as a function of transmitter-receiver separation distance, transmitter power level, and obstruction type. These tests demonstrated, via the packet delivery rate, a clear transition from reliable to unreliable communications at different separation distances. While the packet delivery rate is difficult to measure in actual applications, the received signal strength indication correlated well with the drop in packet delivery rate in the relatively noise-free environment used in these tests. The concept of an equivalent distance was introduced to translate the range of reliability in open field operation to that seen in a typical building, thereby providing wireless system designers a rough estimate of the necessary spacing between sensor nodes in building applications. It is anticipated that the availability of straightforward metrics on the range of wireless sensors in buildings will enable more widespread sensing in buildings for improved control and fault detection. (author)

  9. CHALLENGES IN PERFORMANCE METRICS IN SOCIALLY RESPONSIBLE INVESTMENTS

    Directory of Open Access Journals (Sweden)

    Kuti Monika

    2014-07-01

    Full Text Available Sustainability issues have been penetrating the financial world over the decades at corporate and sector levels. In the field of sustainable finance, socially responsible investments (SRI are a dynamically evolving segment which has become a special industry in asset allocation and investments out of a niche movement. This article aims to highlight the trends, investors’ motives and performances of these investments. It concludes that controversies around the terminology, performance metrics and return of socially responsible investments, have not been resolved in academic literature yet.

  10. Assessment of various supervised learning algorithms using different performance metrics

    Science.gov (United States)

    Susheel Kumar, S. M.; Laxkar, Deepak; Adhikari, Sourav; Vijayarajan, V.

    2017-11-01

    Our work brings out comparison based on the performance of supervised machine learning algorithms on a binary classification task. The supervised machine learning algorithms which are taken into consideration in the following work are namely Support Vector Machine(SVM), Decision Tree(DT), K Nearest Neighbour (KNN), Naïve Bayes(NB) and Random Forest(RF). This paper mostly focuses on comparing the performance of above mentioned algorithms on one binary classification task by analysing the Metrics such as Accuracy, F-Measure, G-Measure, Precision, Misclassification Rate, False Positive Rate, True Positive Rate, Specificity, Prevalence.

  11. Basic performance metrics of in-line inspection tools

    Energy Technology Data Exchange (ETDEWEB)

    Timashev, Sviatoslav A. [Russian Academy of Sciences (Russian Federation). Ural Branch. Science and Engineering Center

    2003-07-01

    The paper discusses current possibilities and drawbacks of in-line inspection (ILI) in detecting, identifying, locating and sizing of all types of defects in oil and gas pipelines. A full set of consistent and universal ILI tool performance metrics is constructed. A holistic methodology that extracts maximum value from the ILI measurements in defect detecting, locating, identifying, sizing and verifying the results of ILI is presented. The outlined approach is being implemented as a software component of a multi-purpose HR MFL ILI tool and is proposed for the new API 1163 ILI Qualification Standard. (author)

  12. Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics

    Directory of Open Access Journals (Sweden)

    Xuefei Guan

    2011-01-01

    Full Text Available In this paper, two probabilistic prognosis updating schemes are compared. One is based on the classical Bayesian approach and the other is based on newly developed maximum relative entropy (MRE approach. The algorithm performance of the two models is evaluated using a set of recently developed prognostics-based metrics. Various uncertainties from measurements, modeling, and parameter estimations are integrated into the prognosis framework as random input variables for fatigue damage of materials. Measures of response variables are then used to update the statistical distributions of random variables and the prognosis results are updated using posterior distributions. Markov Chain Monte Carlo (MCMC technique is employed to provide the posterior samples for model updating in the framework. Experimental data are used to demonstrate the operation of the proposed probabilistic prognosis methodology. A set of prognostics-based metrics are employed to quantitatively evaluate the prognosis performance and compare the proposed entropy method with the classical Bayesian updating algorithm. In particular, model accuracy, precision, robustness and convergence are rigorously evaluated in addition to the qualitative visual comparison. Following this, potential development and improvement for the prognostics-based metrics are discussed in detail.

  13. Performance metrics for the assessment of satellite data products: an ocean color case study

    Science.gov (United States)

    Performance assessment of ocean color satellite data has generally relied on statistical metrics chosen for their common usage and the rationale for selecting certain metrics is infrequently explained. Commonly reported statistics based on mean squared errors, such as the coeffic...

  14. Measuring US Army medical evacuation: Metrics for performance improvement.

    Science.gov (United States)

    Galvagno, Samuel M; Mabry, Robert L; Maddry, Joseph; Kharod, Chetan U; Walrath, Benjamin D; Powell, Elizabeth; Shackelford, Stacy

    2018-01-01

    The US Army medical evacuation (MEDEVAC) community has maintained a reputation for high levels of success in transporting casualties from the point of injury to definitive care. This work served as a demonstration project to advance a model of quality assurance surveillance and medical direction for prehospital MEDEVAC providers within the Joint Trauma System. A retrospective interrupted time series analysis using prospectively collected data was performed as a process improvement project. Records were reviewed during two distinct periods: 2009 and 2014 to 2015. MEDEVAC records were matched to outcomes data available in the Department of Defense Trauma Registry. Abstracted deidentified data were reviewed for specific outcomes, procedures, and processes of care. Descriptive statistics were applied as appropriate. A total of 1,008 patients were included in this study. Nine quality assurance metrics were assessed. These metrics were: airway management, management of hypoxemia, compliance with a blood transfusion protocol, interventions for hypotensive patients, quality of battlefield analgesia, temperature measurement and interventions, proportion of traumatic brain injury (TBI) patients with hypoxemia and/or hypotension, proportion of traumatic brain injury patients with an appropriate assessment, and proportion of missing data. Overall survival in the subset of patients with outcomes data available in the Department of Defense Trauma Registry was 97.5%. The data analyzed for this study suggest overall high compliance with established tactical combat casualty care guidelines. In the present study, nearly 7% of patients had at least one documented oxygen saturation of less than 90%, and 13% of these patients had no documentation of any intervention for hypoxemia, indicating a need for training focus on airway management for hypoxemia. Advances in battlefield analgesia continued to evolve over the period when data for this study was collected. Given the inherent high

  15. Human Performance Optimization Metrics: Consensus Findings, Gaps, and Recommendations for Future Research.

    Science.gov (United States)

    Nindl, Bradley C; Jaffin, Dianna P; Dretsch, Michael N; Cheuvront, Samuel N; Wesensten, Nancy J; Kent, Michael L; Grunberg, Neil E; Pierce, Joseph R; Barry, Erin S; Scott, Jonathan M; Young, Andrew J; OʼConnor, Francis G; Deuster, Patricia A

    2015-11-01

    Human performance optimization (HPO) is defined as "the process of applying knowledge, skills and emerging technologies to improve and preserve the capabilities of military members, and organizations to execute essential tasks." The lack of consensus for operationally relevant and standardized metrics that meet joint military requirements has been identified as the single most important gap for research and application of HPO. In 2013, the Consortium for Health and Military Performance hosted a meeting to develop a toolkit of standardized HPO metrics for use in military and civilian research, and potentially for field applications by commanders, units, and organizations. Performance was considered from a holistic perspective as being influenced by various behaviors and barriers. To accomplish the goal of developing a standardized toolkit, key metrics were identified and evaluated across a spectrum of domains that contribute to HPO: physical performance, nutritional status, psychological status, cognitive performance, environmental challenges, sleep, and pain. These domains were chosen based on relevant data with regard to performance enhancers and degraders. The specific objectives at this meeting were to (a) identify and evaluate current metrics for assessing human performance within selected domains; (b) prioritize metrics within each domain to establish a human performance assessment toolkit; and (c) identify scientific gaps and the needed research to more effectively assess human performance across domains. This article provides of a summary of 150 total HPO metrics across multiple domains that can be used as a starting point-the beginning of an HPO toolkit: physical fitness (29 metrics), nutrition (24 metrics), psychological status (36 metrics), cognitive performance (35 metrics), environment (12 metrics), sleep (9 metrics), and pain (5 metrics). These metrics can be particularly valuable as the military emphasizes a renewed interest in Human Dimension efforts

  16. Long-term energy planning with uncertain environmental performance metrics

    International Nuclear Information System (INIS)

    Parkinson, Simon C.; Djilali, Ned

    2015-01-01

    Highlights: • Environmental performance uncertainty considered in a long-term energy planning model. • Application to electricity generation planning in British Columbia. • Interactions with climate change mitigation and adaptation strategy are assessed. • Performance risk-hedging impacts the technology investment strategy. • Sensitivity of results to model formulation is discussed. - Abstract: Environmental performance (EP) uncertainties span a number of energy technology options, and pose planning risk when the energy system is subject to environmental constraints. This paper presents two approaches to integrating EP uncertainty into the long-term energy planning framework. The methodologies consider stochastic EP metrics across multiple energy technology options, and produce a development strategy that hedges against the risk of exceeding environmental targets. Both methods are compared within a case study of emission-constrained electricity generation planning in British Columbia, Canada. The analysis provides important insight into model formulation and the interactions with concurrent environmental policy uncertainties. EP risk is found to be particularly important in situations where environmental constraints become increasingly stringent. Model results indicate allocation of a modest risk premium in these situations can provide valuable hedging against EP risk

  17. Supply Chain Management Performance in Tourism. Continental Hotels Chain Case

    Directory of Open Access Journals (Sweden)

    Gabriela Ţigu

    2013-02-01

    Full Text Available With its origins in logistics, Supply Chain Management (SCM concept is covering all managerial aspects of the flow of materials and information from source to customer, across the entire range of materials handling and movement functions, and throughout an organization and its supply channels. In tourism, these issues relate to the whole process of providing tourism services from sourcing of raw materials, products or different services to supply and distribution, and SCM performance can ultimately be measured by customer satisfaction. Thus, an important component of tourism SCM is the demand management. Therefore, this study aims to highlight the features of the concept of SCM and demand management in tourism, with an emphasis on a hotel chain in Romania, based on research and analysis of tourist traffic indicators as well as assessment of customers satisfaction. The sources of information are the internal company statistics, as well as various hotels booking websites that offer customers’ feedback. The results of the study provide a snapshot of how the hotel demand management can influence SCM performance in tourism.

  18. Video Analytics Evaluation: Survey of Datasets, Performance Metrics and Approaches

    Science.gov (United States)

    2014-09-01

    people with different ethnicity and gender . Cur- rently we have four subjects, but more can be added in the future. • Lighting Variations. We consider...is however not a proper distance as the triangular inequality condition is not met. For this reason, the next metric should be preferred. • the...and Alan F. Smeaton and Georges Quenot, An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics, Proceedings of TRECVID 2011, NIST, USA

  19. Building Cost and Performance Metrics: Data Collection Protocol, Revision 1.0

    Energy Technology Data Exchange (ETDEWEB)

    Fowler, Kimberly M.; Solana, Amy E.; Spees, Kathleen L.

    2005-09-29

    This technical report describes the process for selecting and applying the building cost and performance metrics for measuring sustainably designed buildings in comparison to traditionally designed buildings.

  20. Topological and metric properties of linear and circular DNA chains in nano-slits and nano-channels

    Science.gov (United States)

    Orlandini, Enzo; Micheletti, Cristian

    2014-03-01

    Motivated by recent advancements in single DNA molecule experiments, based on nanofluidic devices, we investigate numerically the metric and topological properties of a modelof open and circular DNA chains confined inside nano-slits and nano-channles. The results reveal an interesting characterization of the metric crossover behaviour in terms of the abundance, type and length of occuring knots. In particular we find that the knotting probability is nonmonotonic for increasing confinement and can be largely enhanced or suppressed, compared to the bulk case, by simply varying the slit or channel trasversal dimension. The observed knot population consists of knots that are far simpler than for DNA chains in spherical (i.e. cavities or capsids) confinement. These results suggest that nanoslits and nanochannels can be properly designed to produce open DNA chains hosting simple knots or to sieve DNA rings according to their knotted state. Finally we discuss the implications that the presence of knots may have on the dynamical properties of confined DNA chains such as chain elongation, injection/ejection processes and entanglement relaxation. We acknowledge financial support from the Italian ministry of education, grant PRIN 2010HXAW77.

  1. Grading the Metrics: Performance-Based Funding in the Florida State University System

    Science.gov (United States)

    Cornelius, Luke M.; Cavanaugh, Terence W.

    2016-01-01

    A policy analysis of Florida's 10-factor Performance-Based Funding system for state universities. The focus of the article is on the system of performance metrics developed by the state Board of Governors and their impact on institutions and their missions. The paper also discusses problems and issues with the metrics, their ongoing evolution, and…

  2. INFORMATION EXCHANGE AND SUPPLY CHAIN PERFORMANCE

    OpenAIRE

    T. RAMAYAH; ROAIMAH OMAR

    2010-01-01

    The purpose of this study is to examine the effects of operational and strategic information exchange on supply chain performance and the moderating role of information quality in relation to both operational and strategic information exchange. The study was conducted using manufacturing companies located in the Northern region of Malaysia. Hierarchical multiple regressions were applied to test the hypotheses developed for the study. It was found that operational and strategic information exc...

  3. The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance

    OpenAIRE

    Neil A. Morgan; Lopo Leotte Rego

    2006-01-01

    Managers commonly use customer feedback data to set goals and monitor performance on metrics such as “Top 2 Box” customer satisfaction scores and “intention-to-repurchase” loyalty scores. However, analysts have advocated a number of different customer feedback metrics including average customer satisfaction scores and the number of “net promoters” among a firm's customers. We empirically examine which commonly used and widely advocated customer feedback metrics are most valuable in predicting...

  4. Assessment of the Log-Euclidean Metric Performance in Diffusion Tensor Image Segmentation

    Directory of Open Access Journals (Sweden)

    Mostafa Charmi

    2010-06-01

    Full Text Available Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this paper is to assess the possible substitution of the geodesic metric with the Log-Euclidean one to reduce the computational cost of a statistical surface evolution algorithm. Materials and Methods: We incorporated the Log-Euclidean metric in the statistical surface evolution algorithm framework. To achieve this goal, the statistics and gradients of diffusion tensor images were defined using the Log-Euclidean metric. Numerical implementation of the segmentation algorithm was performed in the MATLAB software using the finite difference techniques. Results: In the statistical surface evolution framework, the Log-Euclidean metric was able to discriminate the torus and helix patterns in synthesis datasets and rat spinal cords in biological phantom datasets from the background better than the Euclidean and J-divergence metrics. In addition, similar results were obtained with the geodesic metric. However, the main advantage of the Log-Euclidean metric over the geodesic metric was the dramatic reduction of computational cost of the segmentation algorithm, at least by 70 times. Discussion and Conclusion: The qualitative and quantitative results have shown that the Log-Euclidean metric is a good substitute for the geodesic metric when using a statistical surface evolution algorithm in DTIs segmentation.

  5. Project management metrics, KPIs, and dashboards a guide to measuring and monitoring project performance

    CERN Document Server

    Kerzner, Harold

    2013-01-01

    Today, with the growth of complex projects, stakeholder involvement in projects, advances in computer technology for dashboard designs, metrics, and key performance indicators for project management have become an important focus. This Second Edition of the bestselling book walks readers through everything from the basics of project management metrics and key performance indicators to establishing targets and using dashboards to monitor performance. The content is aligned with PMI's PMBOK Guide and stresses "value" as the main focal point.

  6. MOL-Eye: A New Metric for the Performance Evaluation of a Molecular Signal

    OpenAIRE

    Turan, Meric; Kuran, Mehmet Sukru; Yilmaz, H. Birkan; Chae, Chan-Byoung; Tugcu, Tuna

    2017-01-01

    Inspired by the eye diagram in classical radio frequency (RF) based communications, the MOL-Eye diagram is proposed for the performance evaluation of a molecular signal within the context of molecular communication. Utilizing various features of this diagram, three new metrics for the performance evaluation of a molecular signal, namely the maximum eye height, standard deviation of received molecules, and counting SNR (CSNR) are introduced. The applicability of these performance metrics in th...

  7. Measuring Success: Metrics that Link Supply Chain Management to Aircraft Readiness

    National Research Council Canada - National Science Library

    Balestreri, William

    2002-01-01

    ... Aviation Logistics Squadron Utilizing the Logistics Management Institute's DoD Supply Chain Implementation Guide and adapted SCOR model, we applied the six step process for developing a strategic...

  8. FACTORS AND METRICS THAT INFLUENCE FRANCHISEE PERFORMANCE: AN APPROACH BASED ON BRAZILIAN FRANCHISES

    OpenAIRE

    Aguiar, Helder de Souza; Consoni, Flavia

    2017-01-01

    The article searches to map the manager’s decisions in order to understand what has been the franchisor system for choose regarding to characteristics, and what the metrics has been adopted to measure the performance Though 15 interviews with Brazilian franchise there was confirmation that revenue is the main metric used by national franchises to measure performance, although other indicators are also used in a complementary way. In addition, two other factors were cited by the interviewees a...

  9. Evaluation of Subjective and Objective Performance Metrics for Haptically Controlled Robotic Systems

    Directory of Open Access Journals (Sweden)

    Cong Dung Pham

    2014-07-01

    Full Text Available This paper studies in detail how different evaluation methods perform when it comes to describing the performance of haptically controlled mobile manipulators. Particularly, we investigate how well subjective metrics perform compared to objective metrics. To find the best metrics to describe the performance of a control scheme is challenging when human operators are involved; how the user perceives the performance of the controller does not necessarily correspond to the directly measurable metrics normally used in controller evaluation. It is therefore important to study whether there is any correspondence between how the user perceives the performance of a controller, and how it performs in terms of directly measurable metrics such as the time used to perform a task, number of errors, accuracy, and so on. To perform these tests we choose a system that consists of a mobile manipulator that is controlled by an operator through a haptic device. This is a good system for studying different performance metrics as the performance can be determined by subjective metrics based on feedback from the users, and also as objective and directly measurable metrics. The system consists of a robotic arm which provides for interaction and manipulation, which is mounted on a mobile base which extends the workspace of the arm. The operator thus needs to perform both interaction and locomotion using a single haptic device. While the position of the on-board camera is determined by the base motion, the principal control objective is the motion of the manipulator arm. This calls for intelligent control allocation between the base and the manipulator arm in order to obtain intuitive control of both the camera and the arm. We implement three different approaches to the control allocation problem, i.e., whether the vehicle or manipulator arm actuation is applied to generate the desired motion. The performance of the different control schemes is evaluated, and our

  10. SIMULATED PERFORMANCE OF TIMESCALE METRICS FOR APERIODIC LIGHT CURVES

    Energy Technology Data Exchange (ETDEWEB)

    Findeisen, Krzysztof; Hillenbrand, Lynne [Cahill Center for Astronomy and Astrophysics, California Institute of Technology, MC 249-17, Pasadena, CA 91125 (United States); Cody, Ann Marie, E-mail: krzys@astro.caltech.edu [Spitzer Science Center, California Institute of Technology, MC 314-6, Pasadena, CA 91125 (United States)

    2015-01-10

    Aperiodic variability is a characteristic feature of young stars, massive stars, and active galactic nuclei. With the recent proliferation of time-domain surveys, it is increasingly essential to develop methods to quantify and analyze aperiodic variability. We develop three timescale metrics that have been little used in astronomy—Δm-Δt plots, peak-finding, and Gaussian process regression—and present simulations comparing their effectiveness across a range of aperiodic light curve shapes, characteristic timescales, observing cadences, and signal to noise ratios. We find that Gaussian process regression is easily confused by noise and by irregular sampling, even when the model being fit reflects the process underlying the light curve, but that Δm-Δt plots and peak-finding can coarsely characterize timescales across a broad region of parameter space. We make public the software we used for our simulations, both in the spirit of open research and to allow others to carry out analogous simulations for their own observing programs.

  11. SIMULATED PERFORMANCE OF TIMESCALE METRICS FOR APERIODIC LIGHT CURVES

    International Nuclear Information System (INIS)

    Findeisen, Krzysztof; Hillenbrand, Lynne; Cody, Ann Marie

    2015-01-01

    Aperiodic variability is a characteristic feature of young stars, massive stars, and active galactic nuclei. With the recent proliferation of time-domain surveys, it is increasingly essential to develop methods to quantify and analyze aperiodic variability. We develop three timescale metrics that have been little used in astronomy—Δm-Δt plots, peak-finding, and Gaussian process regression—and present simulations comparing their effectiveness across a range of aperiodic light curve shapes, characteristic timescales, observing cadences, and signal to noise ratios. We find that Gaussian process regression is easily confused by noise and by irregular sampling, even when the model being fit reflects the process underlying the light curve, but that Δm-Δt plots and peak-finding can coarsely characterize timescales across a broad region of parameter space. We make public the software we used for our simulations, both in the spirit of open research and to allow others to carry out analogous simulations for their own observing programs

  12. Is There a Need for New Marketing Communications Performance Metrics for Social Media?

    OpenAIRE

    Töllinen, Aarne; Karjaluoto, Heikki

    2011-01-01

    The objective of this paper is to develop a conceptual framework for measuring the effectiveness of social media marketing communications. With recent advances in information and communications technology, especially in social collaboration technologies, both academics and practitioners rethink whether the existing marketing communications performance metrics are still valid in the changing communications landscape, or is it time to devise entirely new metrics for measuring mar...

  13. Performance of Generating Plant: New Metrics for Industry in Transition

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-09-15

    This report is the result of the work of the Performance of Generating Plant task force of the World Energy Council. The report examines the challenges of measuring and improving performance and considers some of the issues related to this field.

  14. A novel spatial performance metric for robust pattern optimization of distributed hydrological models

    Science.gov (United States)

    Stisen, S.; Demirel, C.; Koch, J.

    2017-12-01

    Evaluation of performance is an integral part of model development and calibration as well as it is of paramount importance when communicating modelling results to stakeholders and the scientific community. There exists a comprehensive and well tested toolbox of metrics to assess temporal model performance in the hydrological modelling community. On the contrary, the experience to evaluate spatial performance is not corresponding to the grand availability of spatial observations readily available and to the sophisticate model codes simulating the spatial variability of complex hydrological processes. This study aims at making a contribution towards advancing spatial pattern oriented model evaluation for distributed hydrological models. This is achieved by introducing a novel spatial performance metric which provides robust pattern performance during model calibration. The promoted SPAtial EFficiency (spaef) metric reflects three equally weighted components: correlation, coefficient of variation and histogram overlap. This multi-component approach is necessary in order to adequately compare spatial patterns. spaef, its three components individually and two alternative spatial performance metrics, i.e. connectivity analysis and fractions skill score, are tested in a spatial pattern oriented model calibration of a catchment model in Denmark. The calibration is constrained by a remote sensing based spatial pattern of evapotranspiration and discharge timeseries at two stations. Our results stress that stand-alone metrics tend to fail to provide holistic pattern information to the optimizer which underlines the importance of multi-component metrics. The three spaef components are independent which allows them to complement each other in a meaningful way. This study promotes the use of bias insensitive metrics which allow comparing variables which are related but may differ in unit in order to optimally exploit spatial observations made available by remote sensing

  15. Analysis of Skeletal Muscle Metrics as Predictors of Functional Task Performance

    Science.gov (United States)

    Ryder, Jeffrey W.; Buxton, Roxanne E.; Redd, Elizabeth; Scott-Pandorf, Melissa; Hackney, Kyle J.; Fiedler, James; Ploutz-Snyder, Robert J.; Bloomberg, Jacob J.; Ploutz-Snyder, Lori L.

    2010-01-01

    PURPOSE: The ability to predict task performance using physiological performance metrics is vital to ensure that astronauts can execute their jobs safely and effectively. This investigation used a weighted suit to evaluate task performance at various ratios of strength, power, and endurance to body weight. METHODS: Twenty subjects completed muscle performance tests and functional tasks representative of those that would be required of astronauts during planetary exploration (see table for specific tests/tasks). Subjects performed functional tasks while wearing a weighted suit with additional loads ranging from 0-120% of initial body weight. Performance metrics were time to completion for all tasks except hatch opening, which consisted of total work. Task performance metrics were plotted against muscle metrics normalized to "body weight" (subject weight + external load; BW) for each trial. Fractional polynomial regression was used to model the relationship between muscle and task performance. CONCLUSION: LPMIF/BW is the best predictor of performance for predominantly lower-body tasks that are ambulatory and of short duration. LPMIF/BW is a very practical predictor of occupational task performance as it is quick and relatively safe to perform. Accordingly, bench press work best predicts hatch-opening work performance.

  16. Introducing the Balanced Scorecard: Creating Metrics to Measure Performance

    Science.gov (United States)

    Gumbus, Andra

    2005-01-01

    This experiential exercise presents the concept of the Balanced Scorecard (BSC) and applies it in a university setting. The Balanced Scorecard was developed 12 years ago and has grown in popularity and is used by more than 50% of the Fortune 500 companies as a performance measurement and strategic management tool. The BSC expands the traditional…

  17. Project management metrics, KPIs, and dashboards a guide to measuring and monitoring project performance

    CERN Document Server

    Kerzner, Harold

    2017-01-01

    With the growth of complex projects, stakeholder involvement, and advancements in visual-based technology, metrics and KPIs (key performance indicators) are key factors in evaluating project performance. Dashboard reporting systems provide accessible project performance data, and sharing this vital data in a concise and consistent manner is a key communication responsibility of all project managers. This 3rd edition of Kerzner’s groundbreaking work includes the following updates: new sections on processing dashboard information, portfolio management PMO and metrics, and BI tool flexibility. PPT decks by chapter and a test bank will be available for use in seminar presentations and courses.

  18. Measuring supply chain performance in the agri-food sector

    NARCIS (Netherlands)

    Aramyan, L.H.

    2007-01-01

    Keywords : PMS,agri-food, supply chain, efficiency, flexibility, responsiveness, food quality

    The main objective of this research is to contribute to the development of a Performance Measurement System (PMS) foragri-food supply chains that involves the entire chain (i.e. all

  19. Climate Classification is an Important Factor in ­Assessing Hospital Performance Metrics

    Science.gov (United States)

    Boland, M. R.; Parhi, P.; Gentine, P.; Tatonetti, N. P.

    2017-12-01

    Context/Purpose: Climate is a known modulator of disease, but its impact on hospital performance metrics remains unstudied. Methods: We assess the relationship between Köppen-Geiger climate classification and hospital performance metrics, specifically 30-day mortality, as reported in Hospital Compare, and collected for the period July 2013 through June 2014 (7/1/2013 - 06/30/2014). A hospital-level multivariate linear regression analysis was performed while controlling for known socioeconomic factors to explore the relationship between all-cause mortality and climate. Hospital performance scores were obtained from 4,524 hospitals belonging to 15 distinct Köppen-Geiger climates and 2,373 unique counties. Results: Model results revealed that hospital performance metrics for mortality showed significant climate dependence (psocioeconomic factors. Interpretation: Currently, hospitals are reimbursed by Governmental agencies using 30-day mortality rates along with 30-day readmission rates. These metrics allow Government agencies to rank hospitals according to their `performance' along these metrics. Various socioeconomic factors are taken into consideration when determining individual hospitals performance. However, no climate-based adjustment is made within the existing framework. Our results indicate that climate-based variability in 30-day mortality rates does exist even after socioeconomic confounder adjustment. Use of standardized high-level climate classification systems (such as Koppen-Geiger) would be useful to incorporate in future metrics. Conclusion: Climate is a significant factor in evaluating hospital 30-day mortality rates. These results demonstrate that climate classification is an important factor when comparing hospital performance across the United States.

  20. Resilience-based performance metrics for water resources management under uncertainty

    Science.gov (United States)

    Roach, Tom; Kapelan, Zoran; Ledbetter, Ralph

    2018-06-01

    This paper aims to develop new, resilience type metrics for long-term water resources management under uncertain climate change and population growth. Resilience is defined here as the ability of a water resources management system to 'bounce back', i.e. absorb and then recover from a water deficit event, restoring the normal system operation. Ten alternative metrics are proposed and analysed addressing a range of different resilience aspects including duration, magnitude, frequency and volume of related water deficit events. The metrics were analysed on a real-world case study of the Bristol Water supply system in the UK and compared with current practice. The analyses included an examination of metrics' sensitivity and correlation, as well as a detailed examination into the behaviour of metrics during water deficit periods. The results obtained suggest that multiple metrics which cover different aspects of resilience should be used simultaneously when assessing the resilience of a water resources management system, leading to a more complete understanding of resilience compared with current practice approaches. It was also observed that calculating the total duration of a water deficit period provided a clearer and more consistent indication of system performance compared to splitting the deficit periods into the time to reach and time to recover from the worst deficit events.

  1. Measuring performance at the supply chain level: the role of the chain director

    Directory of Open Access Journals (Sweden)

    Job A.C. De Haan

    2016-05-01

    The findings show when an attempt to implement a PMS at the supply chain level might be appropriate and effective (if a chain exists and has a director, and how the system’s content should be focused on what is needed to improve chain performance (with end customers’ demands as a starting point. The paper highlights the benefits obtained by the other partners if they comply with the best informed supply chain member in the development of the chain’s PMS, as well as how a PMS cannot be developed when none of the partners can be labelled as chain director.

  2. Performation Metrics Development Analysis for Information and Communications Technology Outsourcing: A Case Study

    Science.gov (United States)

    Travis, James L., III

    2014-01-01

    This study investigated how and to what extent the development and use of the OV-5a operational architecture decomposition tree (OADT) from the Department of Defense (DoD) Architecture Framework (DoDAF) affects requirements analysis with respect to complete performance metrics for performance-based services acquisition of ICT under rigid…

  3. Benchmarking the performance of fixed-image receptor digital radiography systems. Part 2: system performance metric.

    Science.gov (United States)

    Lee, Kam L; Bernardo, Michael; Ireland, Timothy A

    2016-06-01

    This is part two of a two-part study in benchmarking system performance of fixed digital radiographic systems. The study compares the system performance of seven fixed digital radiography systems based on quantitative metrics like modulation transfer function (sMTF), normalised noise power spectrum (sNNPS), detective quantum efficiency (sDQE) and entrance surface air kerma (ESAK). It was found that the most efficient image receptors (greatest sDQE) were not necessarily operating at the lowest ESAK. In part one of this study, sMTF is shown to depend on system configuration while sNNPS is shown to be relatively consistent across systems. Systems are ranked on their signal-to-noise ratio efficiency (sDQE) and their ESAK. Systems using the same equipment configuration do not necessarily have the same system performance. This implies radiographic practice at the site will have an impact on the overall system performance. In general, systems are more dose efficient at low dose settings.

  4. A GPS Phase-Locked Loop Performance Metric Based on the Phase Discriminator Output.

    Science.gov (United States)

    Stevanovic, Stefan; Pervan, Boris

    2018-01-19

    We propose a novel GPS phase-lock loop (PLL) performance metric based on the standard deviation of tracking error (defined as the discriminator's estimate of the true phase error), and explain its advantages over the popular phase jitter metric using theory, numerical simulation, and experimental results. We derive an augmented GPS phase-lock loop (PLL) linear model, which includes the effect of coherent averaging, to be used in conjunction with this proposed metric. The augmented linear model allows more accurate calculation of tracking error standard deviation in the presence of additive white Gaussian noise (AWGN) as compared to traditional linear models. The standard deviation of tracking error, with a threshold corresponding to half of the arctangent discriminator pull-in region, is shown to be a more reliable/robust measure of PLL performance under interference conditions than the phase jitter metric. In addition, the augmented linear model is shown to be valid up until this threshold, which facilitates efficient performance prediction, so that time-consuming direct simulations and costly experimental testing can be reserved for PLL designs that are much more likely to be successful. The effect of varying receiver reference oscillator quality on the tracking error metric is also considered.

  5. The economic performance of supply chain(s) served by the mega freight transport vehicles

    NARCIS (Netherlands)

    Janic, M.

    2014-01-01

    This paper deals with the economic performances of supply chain(s) served by different including the mega freight transport vehicles. These performances are considered as a dimension of the supply chain’s sustainability together with the infrastructural, technical/technological, operational,

  6. Survey of Quantitative Research Metrics to Assess Pilot Performance in Upset Recovery

    Science.gov (United States)

    Le Vie, Lisa R.

    2016-01-01

    Accidents attributable to in-flight loss of control are the primary cause for fatal commercial jet accidents worldwide. The National Aeronautics and Space Administration (NASA) conducted a literature review to determine and identify the quantitative standards for assessing upset recovery performance. This review contains current recovery procedures for both military and commercial aviation and includes the metrics researchers use to assess aircraft recovery performance. Metrics include time to first input, recognition time and recovery time and whether that input was correct or incorrect. Other metrics included are: the state of the autopilot and autothrottle, control wheel/sidestick movement resulting in pitch and roll, and inputs to the throttle and rudder. In addition, airplane state measures, such as roll reversals, altitude loss/gain, maximum vertical speed, maximum/minimum air speed, maximum bank angle and maximum g loading are reviewed as well.

  7. Development and validation of trauma surgical skills metrics: Preliminary assessment of performance after training.

    Science.gov (United States)

    Shackelford, Stacy; Garofalo, Evan; Shalin, Valerie; Pugh, Kristy; Chen, Hegang; Pasley, Jason; Sarani, Babak; Henry, Sharon; Bowyer, Mark; Mackenzie, Colin F

    2015-07-01

    Maintaining trauma-specific surgical skills is an ongoing challenge for surgical training programs. An objective assessment of surgical skills is needed. We hypothesized that a validated surgical performance assessment tool could detect differences following a training intervention. We developed surgical performance assessment metrics based on discussion with expert trauma surgeons, video review of 10 experts and 10 novice surgeons performing three vascular exposure procedures and lower extremity fasciotomy on cadavers, and validated the metrics with interrater reliability testing by five reviewers blinded to level of expertise and a consensus conference. We tested these performance metrics in 12 surgical residents (Year 3-7) before and 2 weeks after vascular exposure skills training in the Advanced Surgical Skills for Exposure in Trauma (ASSET) course. Performance was assessed in three areas as follows: knowledge (anatomic, management), procedure steps, and technical skills. Time to completion of procedures was recorded, and these metrics were combined into a single performance score, the Trauma Readiness Index (TRI). Wilcoxon matched-pairs signed-ranks test compared pretraining/posttraining effects. Mean time to complete procedures decreased by 4.3 minutes (from 13.4 minutes to 9.1 minutes). The performance component most improved by the 1-day skills training was procedure steps, completion of which increased by 21%. Technical skill scores improved by 12%. Overall knowledge improved by 3%, with 18% improvement in anatomic knowledge. TRI increased significantly from 50% to 64% with ASSET training. Interrater reliability of the surgical performance assessment metrics was validated with single intraclass correlation coefficient of 0.7 to 0.98. A trauma-relevant surgical performance assessment detected improvements in specific procedure steps and anatomic knowledge taught during a 1-day course, quantified by the TRI. ASSET training reduced time to complete vascular

  8. Opposites attract: organisational culture and supply chain performance

    OpenAIRE

    Cadden, Trevor; Marshall, Donna; Cao, Guangming

    2013-01-01

    Purpose: The aim of this paper is to expand the knowledge of buyer-supplier relationships by investigating the extent to which organisational cultural fit between a buyer and supply chain participants influences performance. Design/methodology/approach: The study was conducted in a FMCG supply chain. A cultural dimensions questionnaire was used in a focal organisation (the buyer) and it identified best and poorest performing supply chain. The results were analysed using a series of ANOVA’s wi...

  9. Performance evaluation on aquatic product cold-chain logistics

    Directory of Open Access Journals (Sweden)

    Wenbing Wu

    2015-11-01

    Full Text Available Purpose: The requirements for high quality and diversification aquatic products are increasing with the improvement of Chinese living standard. However, the distribution between place of production and place of consumption are uneven, which results in large cold-chain logistics demand for aquatic products. At present, the low-level development of cold chain logistics has a bad impact on the circulation of aquatic products in China. So it is very urgent to develop cold-chain logistics in China. Design/methodology/approach: In order to do this, we apply performance evaluation, a well-known management tool, to study Chinese aquatic product cold-chain logistics. In this paper we first propose SISP(Subjects, Indexes, Standards, and Phases of performance evaluation model and ACSSN model(Aquatic product, Customer, Supply Chain, Society, and Node enterprises of supply chain for aquatic products cold-chain logistics performance evaluation. Then an ANP-Fuzzy method is proposed to evaluate the operational performance of Shandong Oriental Ocean Sci-Tech Co., Ltd. Furthermore, a system dynamic model is built to simulate the impact of temperature on the profits in aquatic products cold-chain sales section. Findings: We find out within a reasonable temperature range, lower temperature brings higher profit level. Also, performance improvement methods are proposed and the simulation of performance evaluation system is developed. Practical implications: Our findings can help to improve the level of aquatic product cold-chain logistics in China. Originality/value: The paper proposes the SISP (Subjects, Indexes, Standards, and Phases of performance evaluation model and ACSSN model (Aquatic product, Customer, Supply Chain, Society, and Node enterprises of supply chain for aquatic products cold-chain logistics performance evaluation.

  10. Model of service-oriented catering supply chain performance evaluation

    OpenAIRE

    Gou, Juanqiong; Shen, Guguan; Chai, Rui

    2013-01-01

    Purpose: The aim of this paper is constructing a performance evaluation model for service-oriented catering supply chain. Design/methodology/approach: With the research on the current situation of catering industry, this paper summarized the characters of the catering supply chain, and then presents the service-oriented catering supply chain model based on the platform of logistics and information. At last, the fuzzy AHP method is used to evaluate the performance of service-oriented catering ...

  11. THE ROLE OF SUPPLY CHAIN COLLABORATION ON SUSTAINABLE SUPPLY CHAIN MANAGEMENT PERFORMANCE

    OpenAIRE

    Ince, Huseyin; Ince, Andac Sahinbey

    2015-01-01

    Sustainable supply chain management and collaboration have taken big attention from academicians and practitioners. The extensive literature review is conducted to analyse the relationship between Sustainable Supply Chain Management and collaboration and its effects on performance of SSCM dimensions. Then, a framework is proposed to explain the relationship between sustainable supply chain management and collaboration. For further studies the proposed framework should be tested empirically.

  12. Proposed Performance-Based Metrics for the Future Funding of Graduate Medical Education: Starting the Conversation.

    Science.gov (United States)

    Caverzagie, Kelly J; Lane, Susan W; Sharma, Niraj; Donnelly, John; Jaeger, Jeffrey R; Laird-Fick, Heather; Moriarty, John P; Moyer, Darilyn V; Wallach, Sara L; Wardrop, Richard M; Steinmann, Alwin F

    2017-12-12

    Graduate medical education (GME) in the United States is financed by contributions from both federal and state entities that total over $15 billion annually. Within institutions, these funds are distributed with limited transparency to achieve ill-defined outcomes. To address this, the Institute of Medicine convened a committee on the governance and financing of GME to recommend finance reform that would promote a physician training system that meets society's current and future needs. The resulting report provided several recommendations regarding the oversight and mechanisms of GME funding, including implementation of performance-based GME payments, but did not provide specific details about the content and development of metrics for these payments. To initiate a national conversation about performance-based GME funding, the authors asked: What should GME be held accountable for in exchange for public funding? In answer to this question, the authors propose 17 potential performance-based metrics for GME funding that could inform future funding decisions. Eight of the metrics are described as exemplars to add context and to help readers obtain a deeper understanding of the inherent complexities of performance-based GME funding. The authors also describe considerations and precautions for metric implementation.

  13. Performance of different metrics proposed to CIE TC 1-91

    NARCIS (Netherlands)

    Bhusal, P.; Dangol, R.

    2017-01-01

    The main aim of the article is to find out the performance of different metrics proposed to CIE TC 1-91. Currently, six different indexes have been proposed to CIE TC 1-91: Colour Quality Scale (CQS), Feeling of Contrast Index (FCI), Memory colour rendering index (MCRI), Preference of skin (PS),

  14. Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics.

    Science.gov (United States)

    Cuesta-Frau, David; Miró-Martínez, Pau; Jordán Núñez, Jorge; Oltra-Crespo, Sandra; Molina Picó, Antonio

    2017-08-01

    This paper evaluates the performance of first generation entropy metrics, featured by the well known and widely used Approximate Entropy (ApEn) and Sample Entropy (SampEn) metrics, and what can be considered an evolution from these, Fuzzy Entropy (FuzzyEn), in the Electroencephalogram (EEG) signal classification context. The study uses the commonest artifacts found in real EEGs, such as white noise, and muscular, cardiac, and ocular artifacts. Using two different sets of publicly available EEG records, and a realistic range of amplitudes for interfering artifacts, this work optimises and assesses the robustness of these metrics against artifacts in class segmentation terms probability. The results show that the qualitative behaviour of the two datasets is similar, with SampEn and FuzzyEn performing the best, and the noise and muscular artifacts are the most confounding factors. On the contrary, there is a wide variability as regards initialization parameters. The poor performance achieved by ApEn suggests that this metric should not be used in these contexts. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies

    Directory of Open Access Journals (Sweden)

    Ali Najmi

    2010-06-01

    Full Text Available Measuring the performance of a supply chain is normally of a function of various parameters. Such a problem often involves in a multiple criteria decision making (MCMD problem where different criteria need to be defined and calculated, properly. During the past two decades, Analytical hierarchy procedure (AHP and DEMATEL have been some of the most popular MCDM approaches for prioritizing various attributes. The study of this paper uses a new methodology which is a combination of AHP and DEMATEL to rank various parameters affecting the performance of the supply chain. The DEMATEL is used for understanding the relationship between comparison metrics and AHP is used for the integration to provide a value for the overall performance.

  16. A performance measurement framework for the South African bulk export wine supply chain

    Directory of Open Access Journals (Sweden)

    Johan B. Smit

    2017-09-01

    Full Text Available Background: Many participants in the South African wine industry still exhibit low supply chain maturity in the management of their supply chains. This hampers export performance and ultimately client satisfaction. The development and tracking of appropriate metrics are key steps in improving supply chain performance. Objectives: The purpose of this study was to develop a performance measurement framework for the South African wine industry, focussing on the bulk export segment. Method: The framework was developed using an emergent multi-phased exploratory approach. The approach was implemented in two distinct phases, namely qualitative research followed by quantitative research in each of three iterations to develop and refine the framework. In each iteration, the qualitative research phase consisted of a literature survey, semi-structured and unstructured interviews and case studies, while the quantitative research phase consisted of the development, distribution, completion and analysis of the framework questionnaire, each iteration building on the framework outputs from the previous iteration. Results: The research highlighted that the wine supply chain performance of bulk exports is hindered by the lack of a measurement culture, hampering the identification and prioritisation of interventions. The creation of a performance measurement framework in conjunction with industry, and informed by the Supply Chain Operations Reference framework, creates a platform for the industry to address these challenges. Conclusion: The implementation of this framework will provide performance visibility for cellars in the wine industry. This would enable them to improve their logistics processes and increase their supply chain maturity, ultimately enabling benchmarking against competing supply chains both within South Africa and abroad, such as in Australia, Argentina and Chile.

  17. Use of social media in health promotion: purposes, key performance indicators, and evaluation metrics.

    Science.gov (United States)

    Neiger, Brad L; Thackeray, Rosemary; Van Wagenen, Sarah A; Hanson, Carl L; West, Joshua H; Barnes, Michael D; Fagen, Michael C

    2012-03-01

    Despite the expanding use of social media, little has been published about its appropriate role in health promotion, and even less has been written about evaluation. The purpose of this article is threefold: (a) outline purposes for social media in health promotion, (b) identify potential key performance indicators associated with these purposes, and (c) propose evaluation metrics for social media related to the key performance indicators. Process evaluation is presented in this article as an overarching evaluation strategy for social media.

  18. Performance analysis of Supply Chain Management with Supply Chain Operation reference model

    Science.gov (United States)

    Hasibuan, Abdurrozzaq; Arfah, Mahrani; Parinduri, Luthfi; Hernawati, Tri; Suliawati; Harahap, Bonar; Rahmah Sibuea, Siti; Krianto Sulaiman, Oris; purwadi, Adi

    2018-04-01

    This research was conducted at PT. Shamrock Manufacturing Corpora, the company is required to think creatively to implement competition strategy by producing goods/services that are more qualified, cheaper. Therefore, it is necessary to measure the performance of Supply Chain Management in order to improve the competitiveness. Therefore, the company is required to optimize its production output to meet the export quality standard. This research begins with the creation of initial dimensions based on Supply Chain Management process, ie Plan, Source, Make, Delivery, and Return with hierarchy based on Supply Chain Reference Operation that is Reliability, Responsiveness, Agility, Cost, and Asset. Key Performance Indicator identification becomes a benchmark in performance measurement whereas Snorm De Boer normalization serves to equalize Key Performance Indicator value. Analiytical Hierarchy Process is done to assist in determining priority criteria. Measurement of Supply Chain Management performance at PT. Shamrock Manufacturing Corpora produces SC. Responsiveness (0.649) has higher weight (priority) than other alternatives. The result of performance analysis using Supply Chain Reference Operation model of Supply Chain Management performance at PT. Shamrock Manufacturing Corpora looks good because its monitoring system between 50-100 is good.

  19. Supply chain performance within agri-food sector

    Directory of Open Access Journals (Sweden)

    Dinu Daniela Magdalena

    2016-01-01

    Full Text Available By setting the goals of this scientific paper has been outlined the research methodology. Thus were developed conclusion, and by using the methods, procedures, techniques, rules and tools and know-how has been demonstrated the central hypothesis: 'Inside the agri-food supply chain is created value through operations and logistics activities.' The value created leads to competitive advantages in order to identify companies within market, gaining loyal consumers. The article presents the components of agri-food supply chain, the main Key Performance Indicators measuring its performance, the difference between a traditional supply chain and sustainable supply chain by analyzing the waste management component. In order to get professional expertise referring to Key Performance Indicators a quantitative research has been organized. In closing the article present the development strategies of agri-food supply chain.

  20. Model of service-oriented catering supply chain performance evaluation

    Directory of Open Access Journals (Sweden)

    Juanqiong Gou

    2013-03-01

    Full Text Available Purpose: The aim of this paper is constructing a performance evaluation model for service-oriented catering supply chain. Design/methodology/approach: With the research on the current situation of catering industry, this paper summarized the characters of the catering supply chain, and then presents the service-oriented catering supply chain model based on the platform of logistics and information. At last, the fuzzy AHP method is used to evaluate the performance of service-oriented catering supply chain. Findings: With the analysis of the characteristics of catering supply chain, we construct the performance evaluation model in order to guarantee the food safety, logistics efficiency, price stability and so on. Practical implications: In order to evolve an efficient and effective service supply chain, it can not only used to own enterprise improvement, but also can be used for selecting different customers, to choose a different model of development. Originality/value: This paper has a new definition of service-oriented catering supply chain. And it offers a model to evaluate the performance of this catering supply chain.

  1. Performance measurement for supply chain management and evaluation criteria determination for reverse supply chain management

    Science.gov (United States)

    Kongar, N. Elif

    2004-12-01

    Today, since customers are able to obtain similar-quality products for similar prices, the lead time has become the only preference criterion for most of the consumers. Therefore, it is crucial that the lead time, i.e., the time spent from the raw material phase till the manufactured good reaches the customer, is minimized. This issue can be investigated under the title of Supply Chain Management (SCM). An efficiently managed supply chain can lead to reduced response time for customers. To achieve this, continuous observation of supply chain efficiency, i.e., a constant performance evaluation of the current SCM is required. Widely used conventional performance measurement methods lack the ability to evaluate a SCM since the supply chain is a dynamic system that requires a more thorough and flexible performance measurement technique. Balanced Scorecard (BS) is an efficient tool for measuring the performance of dynamic systems and has a proven capability of providing the decision makers with the appropriate feedback data. In addition to SCM, a relatively new management field, namely reverse supply chain management (RSCM), also necessitates an appropriate evaluation approach. RSCM differs from SCM in many aspects, i.e., the criteria used for evaluation, the high level of uncertainty involved etc., not allowing the usage of identical evaluation techniques used for SCM. This study proposes a generic Balanced Scorecard to measure the performance of supply chain management while defining the appropriate performance measures for SCM. A scorecard prototype, ESCAPE, is presented to demonstrate the evaluation process.

  2. National Quality Forum Colon Cancer Quality Metric Performance: How Are Hospitals Measuring Up?

    Science.gov (United States)

    Mason, Meredith C; Chang, George J; Petersen, Laura A; Sada, Yvonne H; Tran Cao, Hop S; Chai, Christy; Berger, David H; Massarweh, Nader N

    2017-12-01

    To evaluate the impact of care at high-performing hospitals on the National Quality Forum (NQF) colon cancer metrics. The NQF endorses evaluating ≥12 lymph nodes (LNs), adjuvant chemotherapy (AC) for stage III patients, and AC within 4 months of diagnosis as colon cancer quality indicators. Data on hospital-level metric performance and the association with survival are unclear. Retrospective cohort study of 218,186 patients with resected stage I to III colon cancer in the National Cancer Data Base (2004-2012). High-performing hospitals (>75% achievement) were identified by the proportion of patients achieving each measure. The association between hospital performance and survival was evaluated using Cox shared frailty modeling. Only hospital LN performance improved (15.8% in 2004 vs 80.7% in 2012; trend test, P fashion [0 metrics, reference; 1, hazard ratio (HR) 0.96 (0.89-1.03); 2, HR 0.92 (0.87-0.98); 3, HR 0.85 (0.80-0.90); 2 vs 1, HR 0.96 (0.91-1.01); 3 vs 1, HR 0.89 (0.84-0.93); 3 vs 2, HR 0.95 (0.89-0.95)]. Performance on metrics in combination was associated with lower risk of death [LN + AC, HR 0.86 (0.78-0.95); AC + timely AC, HR 0.92 (0.87-0.98); LN + AC + timely AC, HR 0.85 (0.80-0.90)], whereas individual measures were not [LN, HR 0.95 (0.88-1.04); AC, HR 0.95 (0.87-1.05)]. Less than half of hospitals perform well on these NQF colon cancer metrics concurrently, and high performance on individual measures is not associated with improved survival. Quality improvement efforts should shift focus from individual measures to defining composite measures encompassing the overall multimodal care pathway and capturing successful transitions from one care modality to another.

  3. Proactive Supply Chain Performance Management with Predictive Analytics

    Directory of Open Access Journals (Sweden)

    Nenad Stefanovic

    2014-01-01

    Full Text Available Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators. Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

  4. Proactive Supply Chain Performance Management with Predictive Analytics

    Science.gov (United States)

    Stefanovic, Nenad

    2014-01-01

    Today's business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment. PMID:25386605

  5. Proactive supply chain performance management with predictive analytics.

    Science.gov (United States)

    Stefanovic, Nenad

    2014-01-01

    Today's business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

  6. Performance of different colour quality metrics proposed to CIE TC 1-91

    OpenAIRE

    Bhusal, Pramod; Dangol, Rajendra

    2017-01-01

    The main aim of the article is to find out the performance of different metrics proposed to CIE TC 1-91. Currently, six different indexes have been proposed to CIE TC 1-91: Colour Quality Scale (CQS), Feeling of Contrast Index (FCI), Memory colour rendering index (MCRI), Preference of skin (PS), Relative gamut area index (RGAI) and Illuminating Engineering society Method for evaluating light source colour rendition (IES TM-30). The evaluation and analysis are based on previously conducted exp...

  7. Humanitarian supply chain performance management: a systematic literature review

    OpenAIRE

    Abdi, H; De Leeuw, S; Klumpp, M

    2014-01-01

    Purpose - The main purposes of this study are 1) to identify the state of the art of performance measurement and management in humanitarian supply chains, 2) to categorize performance measurement indicators in the five supply chain phases of Gunasekaran and Kobu (2007) and evaluate them based on the evaluation criteria of Caplice and Sheffi (1995), 3) to define gaps as well as challenges in this field and give insights for future research in this domain. Design/methodology/approach - A litera...

  8. Alignment of Information Systems with Supply Chains: Impacts on Supply Chain Performance and Organizational Performance

    Science.gov (United States)

    Qrunfleh, Sufian M.

    2010-01-01

    Over the past decade, an important focus of researchers has been on supply chain management (SCM), as many organizations believe that effective SCM is the key to building and sustaining competitive advantage for their products/services. To manage the supply chain, companies need to adopt an SCM strategy (SCMS) and implement appropriate SCM…

  9. Performance evaluation of no-reference image quality metrics for face biometric images

    Science.gov (United States)

    Liu, Xinwei; Pedersen, Marius; Charrier, Christophe; Bours, Patrick

    2018-03-01

    The accuracy of face recognition systems is significantly affected by the quality of face sample images. The recent established standardization proposed several important aspects for the assessment of face sample quality. There are many existing no-reference image quality metrics (IQMs) that are able to assess natural image quality by taking into account similar image-based quality attributes as introduced in the standardization. However, whether such metrics can assess face sample quality is rarely considered. We evaluate the performance of 13 selected no-reference IQMs on face biometrics. The experimental results show that several of them can assess face sample quality according to the system performance. We also analyze the strengths and weaknesses of different IQMs as well as why some of them failed to assess face sample quality. Retraining an original IQM by using face database can improve the performance of such a metric. In addition, the contribution of this paper can be used for the evaluation of IQMs on other biometric modalities; furthermore, it can be used for the development of multimodality biometric IQMs.

  10. Levels & Barriers to Supply Chain Integration: A conceptual model of Supply Chain Performance

    OpenAIRE

    RajaIrfan Sabir; Muhammad Irfan

    2014-01-01

    In modern business scenario Supply chain has become the back bone for every business organization. All supply chain partners are joined together in value delivery network of company that no one can perform better without support of other. The ultimate objective of this cohesive relationship is to deliver value to customers and gets desired state of customer satisfaction & loyalty for the organization. For this purpose it is necessary to integrate the internal and external partners of Supply c...

  11. The Use of Performance Metrics for the Assessment of Safeguards Effectiveness at the State Level

    Energy Technology Data Exchange (ETDEWEB)

    Bachner K. M.; George Anzelon, Lawrence Livermore National Laboratory, Livermore, CA Yana Feldman, Lawrence Livermore National Laboratory, Livermore, CA Mark Goodman,Department of State, Washington, DC Dunbar Lockwood, National Nuclear Security Administration, Washington, DC Jonathan B. Sanborn, JBS Consulting, LLC, Arlington, VA.

    2016-07-24

    In the ongoing evolution of International Atomic Energy Agency (IAEA) safeguards at the state level, many safeguards implementation principles have been emphasized: effectiveness, efficiency, non-discrimination, transparency, focus on sensitive materials, centrality of material accountancy for detecting diversion, independence, objectivity, and grounding in technical considerations, among others. These principles are subject to differing interpretations and prioritizations and sometimes conflict. This paper is an attempt to develop metrics and address some of the potential tradeoffs inherent in choices about how various safeguards policy principles are implemented. The paper carefully defines effective safeguards, including in the context of safeguards approaches that take account of the range of state-specific factors described by the IAEA Secretariat and taken note of by the Board in September 2014, and (2) makes use of performance metrics to help document, and to make transparent, how safeguards implementation would meet such effectiveness requirements.

  12. Performance of different metrics proposed to CIE TC 1-91

    Directory of Open Access Journals (Sweden)

    Pramod Bhusal

    2017-12-01

    Full Text Available The main aim of the article is to find out the performance of different metrics proposed to CIE TC 1-91. Currently, six different indexes have been proposed to CIE TC 1-91: Colour Quality Scale (CQS, Feeling of Contrast Index (FCI, Memory colour rendering index (MCRI, Preference of skin (PS, Relative gamut area index (RGAI and Illuminating Engineering society Method for evaluating light source colour rendition (IES TM-30. The evaluation and analysis are based on previously conducted experiment in lighting booth. The analysis showed the area based metric FCI was good subjective preference indicator. The subjective preference was measured in terms of naturalness of objects, colourfulness of colour checker chart, and the visual appearance of the lit scene in the booth.

  13. Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains

    Directory of Open Access Journals (Sweden)

    Richard Nyaoga

    2016-03-01

    Full Text Available This study develops an effective method to measure value chain performance and rank them based on qualitative criteria and to determine the ranking order of the various forms of performance under study. This approach integrates the advantage of grey systems theory and TOPSIS to evaluate and rank value chain performance. Grey-TOPSIS approach has been applied to measure and rank the value chain performance of various firms. The results indicate that the proposed model is useful to facilitate multi-criteria decision-making (MCDM problem under the environment of uncertainty and vagueness. The model also provides an appropriate ranking order based on the available alternatives. The Grey-TOPSIS approach that will be useful to the managers to use for solving the similar type of decision-making problems in their firms in the future has been discussed. Even though, the problem of choosing a suitable performance option is often addressed in practice and research, very few studies are available in the literature of Grey-TOPSIS decision models. Also, Grey-TOPSIS model application in the tea processing firms is non-existence hence this study is the very first to apply this model in evaluating value chain performance in the tea processing firms.

  14. UMAMI: A Recipe for Generating Meaningful Metrics through Holistic I/O Performance Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Lockwood, Glenn K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yoo, Wucherl [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Byna, Suren [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wright, Nicholas J. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Snyder, Shane [Argonne National Lab. (ANL), Argonne, IL (United States); Harms, Kevin [Argonne National Lab. (ANL), Argonne, IL (United States); Nault, Zachary [Argonne National Lab. (ANL), Argonne, IL (United States); Carns, Philip [Argonne National Lab. (ANL), Argonne, IL (United States)

    2017-11-12

    I/O efficiency is essential to productivity in scientific computing, especially as many scientific domains become more data-intensive. Many characterization tools have been used to elucidate specific aspects of parallel I/O performance, but analyzing components of complex I/O subsystems in isolation fails to provide insight into critical questions: how do the I/O components interact, what are reasonable expectations for application performance, and what are the underlying causes of I/O performance problems? To address these questions while capitalizing on existing component-level characterization tools, we propose an approach that combines on-demand, modular synthesis of I/O characterization data into a unified monitoring and metrics interface (UMAMI) to provide a normalized, holistic view of I/O behavior. We evaluate the feasibility of this approach by applying it to a month-long benchmarking study on two distinct largescale computing platforms. We present three case studies that highlight the importance of analyzing application I/O performance in context with both contemporaneous and historical component metrics, and we provide new insights into the factors affecting I/O performance. By demonstrating the generality of our approach, we lay the groundwork for a production-grade framework for holistic I/O analysis.

  15. Critical thinking skills in nursing students: comparison of simulation-based performance with metrics

    Science.gov (United States)

    Fero, Laura J.; O’Donnell, John M.; Zullo, Thomas G.; Dabbs, Annette DeVito; Kitutu, Julius; Samosky, Joseph T.; Hoffman, Leslie A.

    2018-01-01

    Aim This paper is a report of an examination of the relationship between metrics of critical thinking skills and performance in simulated clinical scenarios. Background Paper and pencil assessments are commonly used to assess critical thinking but may not reflect simulated performance. Methods In 2007, a convenience sample of 36 nursing students participated in measurement of critical thinking skills and simulation-based performance using videotaped vignettes, high-fidelity human simulation, the California Critical Thinking Disposition Inventory and California Critical Thinking Skills Test. Simulation- based performance was rated as ‘meeting’ or ‘not meeting’ overall expectations. Test scores were categorized as strong, average, or weak. Results Most (75·0%) students did not meet overall performance expectations using videotaped vignettes or high-fidelity human simulation; most difficulty related to problem recognition and reporting findings to the physician. There was no difference between overall performance based on method of assessment (P = 0·277). More students met subcategory expectations for initiating nursing interventions (P ≤ 0·001) using high-fidelity human simulation. The relationship between video-taped vignette performance and critical thinking disposition or skills scores was not statistically significant, except for problem recognition and overall critical thinking skills scores (Cramer’s V = 0·444, P = 0·029). There was a statistically significant relationship between overall high-fidelity human simulation performance and overall critical thinking disposition scores (Cramer’s V = 0·413, P = 0·047). Conclusion Students’ performance reflected difficulty meeting expectations in simulated clinical scenarios. High-fidelity human simulation performance appeared to approximate scores on metrics of critical thinking best. Further research is needed to determine if simulation-based performance correlates with critical thinking skills

  16. Critical thinking skills in nursing students: comparison of simulation-based performance with metrics.

    Science.gov (United States)

    Fero, Laura J; O'Donnell, John M; Zullo, Thomas G; Dabbs, Annette DeVito; Kitutu, Julius; Samosky, Joseph T; Hoffman, Leslie A

    2010-10-01

    This paper is a report of an examination of the relationship between metrics of critical thinking skills and performance in simulated clinical scenarios. Paper and pencil assessments are commonly used to assess critical thinking but may not reflect simulated performance. In 2007, a convenience sample of 36 nursing students participated in measurement of critical thinking skills and simulation-based performance using videotaped vignettes, high-fidelity human simulation, the California Critical Thinking Disposition Inventory and California Critical Thinking Skills Test. Simulation-based performance was rated as 'meeting' or 'not meeting' overall expectations. Test scores were categorized as strong, average, or weak. Most (75.0%) students did not meet overall performance expectations using videotaped vignettes or high-fidelity human simulation; most difficulty related to problem recognition and reporting findings to the physician. There was no difference between overall performance based on method of assessment (P = 0.277). More students met subcategory expectations for initiating nursing interventions (P ≤ 0.001) using high-fidelity human simulation. The relationship between videotaped vignette performance and critical thinking disposition or skills scores was not statistically significant, except for problem recognition and overall critical thinking skills scores (Cramer's V = 0.444, P = 0.029). There was a statistically significant relationship between overall high-fidelity human simulation performance and overall critical thinking disposition scores (Cramer's V = 0.413, P = 0.047). Students' performance reflected difficulty meeting expectations in simulated clinical scenarios. High-fidelity human simulation performance appeared to approximate scores on metrics of critical thinking best. Further research is needed to determine if simulation-based performance correlates with critical thinking skills in the clinical setting. © 2010 The Authors. Journal of Advanced

  17. A customer perspective on performance measurement in humanitarian supply chains

    OpenAIRE

    Schiffling, Sarah

    2013-01-01

    The increasing importance of services in SCM leads to a stronger focus on the customer perspective. Donors and beneficiaries are two distinct customer groups of humanitarian supply chains. This paper will analyse how this impacts performance measurement for example in the commonly used balanced scorecard, which includes a customer perspective. Keywords: Performance measurement, Humanitarian logistics, Customer perspective

  18. Effects of collaborative supply chain solutions on strategic performance management

    NARCIS (Netherlands)

    Rachan, Wilfred

    2012-01-01

    Throughout this research the focus has been on unraveling of the factors and relations that link different aspects of collaborative workflow to strategic performance management. However, the same issues that applied to strategic performance management of supply chains also apply to other areas of

  19. Effects of collaborative supply chain solutions on strategic performance management

    OpenAIRE

    Rachan, Wilfred

    2012-01-01

    Throughout this research the focus has been on unraveling of the factors and relations that link different aspects of collaborative workflow to strategic performance management. However, the same issues that applied to strategic performance management of supply chains also apply to other areas of strategic performance in business. The following (to be - tested) recommendations, organized along the lines of the "expected managerial contributions" therefore apply both to strategic performance m...

  20. Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

    Science.gov (United States)

    Madugundu, Rangaswamy; Al-Gaadi, Khalid A.; Tola, ElKamil; Hassaballa, Abdalhaleem A.; Patil, Virupakshagouda C.

    2017-12-01

    Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October 2013, for the mapping of ET of a 50 ha center-pivot irrigated alfalfa field in the eastern region of Saudi Arabia. The METRIC-estimated energy balance components and ET were evaluated against the data provided by an eddy covariance (EC) flux tower installed in the field. Results indicated that the METRIC algorithm provided accurate ET estimates over the study area, with RMSE values of 0.13 and 4.15 mm d-1. The METRIC algorithm was observed to perform better in full canopy conditions compared to partial canopy conditions. On average, the METRIC algorithm overestimated the hourly ET by 6.6 % in comparison to the EC measurements; however, the daily ET was underestimated by 4.2 %.

  1. Delay model and performance testing for FPGA carry chain TDC

    International Nuclear Information System (INIS)

    Kang Xiaowen; Liu Yaqiang; Cui Junjian Yang Zhangcan; Jin Yongjie

    2011-01-01

    Time-of-flight (TOF) information would improve the performance of PET (position emission tomography). TDC design is a key technique. It proposed Carry Chain TDC Delay model. Through changing the significant delay parameter of model, paper compared the difference of TDC performance, and finally realized Time-to-Digital Convertor (TDC) based on Carry Chain Method using FPGA EP2C20Q240C8N with 69 ps LSB, max error below 2 LSB. Such result could meet the TOF demand. It also proposed a Coaxial Cable Measuring method for TDC testing, without High-precision test equipment. (authors)

  2. Impact of additive manufacturing on aircraft supply chain performance

    DEFF Research Database (Denmark)

    Ghadge, Abhijeet; Karantoni, Georgia; Chaudhuri, Atanu

    2018-01-01

    Purpose – The purpose of this paper is to assess the impact of additive manufacturing (AM) implementation on aircraft supply chain (SC) networks. Additive and conventional manufacturing spare part inventory control systems are studied and compared, revealing insights into SC performance. Design....... Originality/value – The study provides robust evidence for making critical managerial decisions on SC re-design driven by a new and disruptive technology. Next-generation SC and logistics will replace the current demand for fulfilling material products by AM machines. Keywords Performance measurement......, Simulation, Additive manufacturing, Supply chains, Aerospace industry...

  3. Assessment of Performance Measures for Security of the Maritime Transportation Network, Port Security Metrics : Proposed Measurement of Deterrence Capability

    Science.gov (United States)

    2007-01-03

    This report is the thirs in a series describing the development of performance measures pertaining to the security of the maritime transportation network (port security metrics). THe development of measures to guide improvements in maritime security ...

  4. Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis

    DEFF Research Database (Denmark)

    Strother, Stephen C.; Conte, Stephen La; Hansen, Lars Kai

    2004-01-01

    We argue that published results demonstrate that new insights into human brain function may be obscured by poor and/or limited choices in the data-processing pipeline, and review the work on performance metrics for optimizing pipelines: prediction, reproducibility, and related empirical Receiver......, temporal detrending, and between-subject alignment) in a group analysis of BOLD-fMRI scans from 16 subjects performing a block-design, parametric-static-force task. Large-scale brain networks were detected using a multivariate linear discriminant analysis (canonical variates analysis, CVA) that was tuned...... of baseline scans have constant, equal means, and this assumption was assessed with prediction metrics. Higher-order polynomial warps compared to affine alignment had only a minor impact on the performance metrics. We found that both prediction and reproducibility metrics were required for optimizing...

  5. Achieving palliative care research efficiency through defining and benchmarking performance metrics.

    Science.gov (United States)

    Lodato, Jordan E; Aziz, Noreen; Bennett, Rachael E; Abernethy, Amy P; Kutner, Jean S

    2012-12-01

    Research efficiency is gaining increasing attention in the research enterprise, including palliative care research. The importance of generating meaningful findings and translating these scientific advances to improved patient care creates urgency in the field to address well documented system inefficiencies. The Palliative Care Research Cooperative Group (PCRC) provides useful examples for ensuring research efficiency in palliative care. Literature on maximizing research efficiency focuses on the importance of clearly delineated process maps, working instructions, and standard operating procedures in creating synchronicity in expectations across research sites. Examples from the PCRC support these objectives and suggest that early creation and employment of performance metrics aligned with these processes are essential to generate clear expectations and identify benchmarks. These benchmarks are critical in effective monitoring and ultimately the generation of high-quality findings that are translatable to clinical populations. Prioritization of measurable goals and tasks to ensure that activities align with programmatic aims is critical. Examples from the PCRC affirm and expand the existing literature on research efficiency, providing a palliative care focus. Operating procedures, performance metrics, prioritization, and monitoring for success should all be informed by and inform the process map to achieve maximum research efficiency.

  6. Food safety management systems performance in the lamb production chain

    NARCIS (Netherlands)

    Oses, S.M.; Luning, P.A.; Jacxsens, L.; Jaime, I.; Rovira, J.

    2012-01-01

    This study describes a performance measurement of implemented food safety management system (FSMS) along the lamb chain using an FSMS-diagnostic instrument (FSMS-DI) and a Microbiological Assessment Scheme (MAS). Three slaughterhouses, 1 processing plant and 5 butcher shops were evaluated. All the

  7. The effect of information systems on supply chain and performance ...

    African Journals Online (AJOL)

    The effect of information systems on supply chain and performance of National Iranian South Oil Company (NISOC) ... Sample population of this research is made up of nisoc's managers and experts that are more than 2043 persons.By applying the cochrane's formula,the sample population of this research determined as ...

  8. Using vulnerability performance indicators to attain food supply chain robustness

    NARCIS (Netherlands)

    Vlajic, J.V.; Lokven, van S.W.M.; Haijema, R.; Vorst, van der J.G.A.J.

    2013-01-01

    High effectiveness and leanness of modern supply chains (SCs) increase their vulnerability, i.e. susceptibility to disturbances reflected in non-robust SC performances. Both the SC management literature and SC professionals indicate the need for the development of SC vulnerability assessment tools.

  9. Humanitarian supply chain performance management: a systematic literature review

    NARCIS (Netherlands)

    Abidi, H.; de Leeuw, S.L.J.M.; Klumpp, M.

    2014-01-01

    Design/methodology/approach - A literature review has been conducted using a structured method based on Denyer and Tranfield (2009) and Rousseau et al. (2008). The state of the art on humanitarian supply chain performance management with a focus on measurement frameworks and indicators and their

  10. Operational risk assessments by supply chain professionals : process and performance

    NARCIS (Netherlands)

    Tazelaar, F.; Snijders, C.C.P.

    2013-01-01

    We consider the "process-performance paradox" in the assessment of operational risks by professionals in the field of operations and supply chain management (OSCM). The paradox states that although professionals with more expertise tend to decide in different ways, they often do not make better

  11. Improving Supply Chain Risk Management by Introducing Performance Measurement Systems

    OpenAIRE

    Ryding, Anna; Sahlin, Jonatan

    2013-01-01

    Supply chain risk management (SCRM) is a topic that gains more and more interest from both the academic and practitioner’s perspective. The reason for this is the increased complexity in the global supply chain (SC) networks and many managers do not realize the risks they build in their SC by the continuous search to cut cost and decrease tied up capital. One problem with SCRM is that it is hard to measure the performance of it and if it is really beneficial to work with it. The objective for...

  12. Light Water Reactor Sustainability Program Operator Performance Metrics for Control Room Modernization: A Practical Guide for Early Design Evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Ronald Boring; Roger Lew; Thomas Ulrich; Jeffrey Joe

    2014-03-01

    As control rooms are modernized with new digital systems at nuclear power plants, it is necessary to evaluate the operator performance using these systems as part of a verification and validation process. There are no standard, predefined metrics available for assessing what is satisfactory operator interaction with new systems, especially during the early design stages of a new system. This report identifies the process and metrics for evaluating human system interfaces as part of control room modernization. The report includes background information on design and evaluation, a thorough discussion of human performance measures, and a practical example of how the process and metrics have been used as part of a turbine control system upgrade during the formative stages of design. The process and metrics are geared toward generalizability to other applications and serve as a template for utilities undertaking their own control room modernization activities.

  13. The Relationship between the Level and Modality of HRM Metrics, Quality of HRM Practice and Organizational Performance

    OpenAIRE

    Nina Pološki Vokić

    2011-01-01

    The paper explores the relationship between the way organizations measure HRM and overall quality of HRM activities, as well as the relationship between HRM metrics used and financial performance of an organization. In the theoretical part of the paper modalities of HRM metrics are grouped into five groups (evaluating HRM using accounting principles, evaluating HRM using management techniques, evaluating individual HRM activities, aggregate evaluation of HRM, and evaluating HRM de...

  14. Performance measurement of supply chain flexibility using witness

    Directory of Open Access Journals (Sweden)

    Rituraj Chandrakar

    2012-10-01

    Full Text Available In today’s global scenario of intense competition and environmental uncertainty flexibility in supply chain has an important role to play for the existence of any supply chain business. A need to be responsive to the constantly changing market scenario and cater to the customer needs, a certain degree of flexibility is required, which requires the coordination of many plants to produce and deliver goods to customers located in different places, and suppliers, which provide each plant with the required components. This paper intends to measure the degree of flexibility required for a two stage supply chain and assessing both the supplier flexibility and the assembler flexibility. In this paper, nine configurations of the SC are considered resulting from the combination of the three degrees of supplier and manufacturer flexibility, i.e. no flexibility, limited flexibility and total flexibility, respectively. Simulation model representing the different flexibility configurations are evaluated and the performance of each configuration analyzed to determine the flexibility configuration suitable to a supply chain. In particular the performance analysis of lead time, work-in-process, service level and cost are measured to determine the suitable flexibility.

  15. A Case Study Based Analysis of Performance Metrics for Green Infrastructure

    Science.gov (United States)

    Gordon, B. L.; Ajami, N.; Quesnel, K.

    2017-12-01

    Aging infrastructure, population growth, and urbanization are demanding new approaches to management of all components of the urban water cycle, including stormwater. Traditionally, urban stormwater infrastructure was designed to capture and convey rainfall-induced runoff out of a city through a network of curbs, gutters, drains, and pipes, also known as grey infrastructure. These systems were planned with a single-purpose and designed under the assumption of hydrologic stationarity, a notion that no longer holds true in the face of a changing climate. One solution gaining momentum around the world is green infrastructure (GI). Beyond stormwater quality improvement and quantity reduction (or technical benefits), GI solutions offer many environmental, economic, and social benefits. Yet many practical barriers have prevented the widespread adoption of these systems worldwide. At the center of these challenges is the inability of stakeholders to know how to monitor, measure, and assess the multi-sector performance of GI systems. Traditional grey infrastructure projects require different monitoring strategies than natural systems; there are no overarching policies on how to best design GI monitoring and evaluation systems and measure performance. Previous studies have attempted to quantify the performance of GI, mostly using one evaluation method on a specific case study. We use a case study approach to address these knowledge gaps and develop a conceptual model of how to evaluate the performance of GI through the lens of financing. First, we examined many different case studies of successfully implemented GI around the world. Then we narrowed in on 10 exemplary case studies. For each case studies, we determined what performance method the project developer used such as LCA, TBL, Low Impact Design Assessment (LIDA) and others. Then, we determined which performance metrics were used to determine success and what data was needed to calculate those metrics. Finally, we

  16. MEASURING THE PERFORMANCE OF GUYANA’S CONSTRUCTION INDUSTRY USING A SET OF PROJECT PERFORMANCE BENCHMARKING METRICS

    Directory of Open Access Journals (Sweden)

    Christopher J. Willis

    2011-10-01

    Full Text Available A study measuring the performance of Guyana’s construction industry using a set of project performance benchmarking metrics was recently completed. The underlying premise of the study was that the aggregated performance of construction projects provides a realistic assessment of the performance of the construction industry, on the basis that construction projects are the mechanism through which the construction industry creates its tangible products. The fact that an influential government agency acted as owner of the study was critical to the data collection phase. The best approach for collecting project performance data in Guyana involves the utilisation of a researcher or team of researchers mining electronic and hard copy project documents. This study analysed approximately 270 construction projects to obtain an indication of the performance of guyana’s construction industry. It was found that sea defence projects performed the worst, whereas health facility projects performed the best. The main implication of this is that sea defence projects are likely to be the least efficient and, given their critical nature, there is an argument for urgent performance improvement interventions.

  17. Supply chain performance: the role of regional markets

    Directory of Open Access Journals (Sweden)

    Ali Ghasemi

    2015-05-01

    Full Text Available This paper investigates the role of exports in the regional markets on the performance of supply chain. The study first determines critical variables affecting exports for entering into the regional markets and then measures the effects of these variables on the effectiveness of supply chain performance. The study uses two questionnaires, one for measuring the effects of various factors on export development and the other for measuring supply chain performance in Likert scale. Cronbach alpha for the mentioned questionnaires were calculated as 0.84 and 0.78, respectively. The population of the survey includes all small and medium enterprises active in city of Tehran, Iran and the study selects a sample of 250 people as a sample size. Using factor analysis, the study has determined seven factors including product development, government support, strategic orientation, customer satisfaction, competitive pressures, organizational capability and distribution strategies for entry into regional markets. In addition, the implementation of structural equation modeling has disclosed that product development and distribution strategies maintained the highest impact on export activities.

  18. A Linkage Model of Supply Chain Operation and Financial Performance for Economic Sustainability of Firm

    Directory of Open Access Journals (Sweden)

    Suk Ho Jin

    2017-01-01

    Full Text Available Although several studies have explored the relationship between the operation and performance of a supply chain (SC, a general SC model cannot deliver the expected financial results at a company-wide level. In this paper, we argue that this cannot guarantee the maximization of a firm’s overall value because short-term financial performance metrics do not reflect the risk to businesses and the invested capital. Owing to the varying natures of risk and the capital invested, firms with multiple divisions should assess each division separately, and the results can be compared for decisions concerning the allocation of the firm’s capital and resources to maximize the overall value of its businesses. We propose a linkage model to consider operational activities and financial performance simultaneously in a firm’s supply chain model. To exhibit the superiority of the proposed model that connects SC operation and financial indicators, we first compare the differences between models for maximizing profit and enterprise-wise economic value added (EVA as objective functions. To examine uncertainty in the operational and financial parameters of the SC, the results of sensitivity analyses are then reported. Experimental results showed that our model, using the EVA approach, is more effective and superior in terms of maximizing the firm’s overall value from the long-term perspective while satisfying the target values for financial ratios set by the firm’s executives and shareholders for all periods, unlike the results of the general model.

  19. Metric learning

    CERN Document Server

    Bellet, Aurelien; Sebban, Marc

    2015-01-01

    Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learnin

  20. Sigma metric analysis for performance of creatinine with fresh frozen serum.

    Science.gov (United States)

    Kang, Fengfeng; Zhang, Chuanbao; Wang, Wei; Wang, Zhiguo

    2016-01-01

    Six sigma provides an objective and quantitative methodology to describe the laboratory testing performance. In this study, we conducted a national trueness verification scheme with fresh frozen serum (FFS) for serum creatinine to evaluate its performance in China. Two different concentration levels of FFS, targeted with reference method, were sent to 98 laboratories in China. Imprecision and bias of the measurement procedure were calculated for each participant to further evaluate the sigma value. Quality goal index (QGI) analysis was used to investigate the reason of unacceptable performance for laboratories with σ high concentration of creatinine had preferable sigma values. For the enzymatic method, 7.0% (5/71) to 45.1% (32/71) of the laboratories need to improve their measurement procedures (σ 1.2). Only 3.1-5.3% of the laboratories should improve both of the precision and trueness. Sigma metric analysis of the serum creatinine assays is disappointing, which was mainly due to the unacceptable analytical bias according to the QGI analysis. Further effort is needed to enhance the trueness of the creatinine measurement.

  1. Changing Metrics of Organ Procurement Organization Performance in Order to Increase Organ Donation Rates in the United States.

    Science.gov (United States)

    Goldberg, D; Kallan, M J; Fu, L; Ciccarone, M; Ramirez, J; Rosenberg, P; Arnold, J; Segal, G; Moritsugu, K P; Nathan, H; Hasz, R; Abt, P L

    2017-12-01

    The shortage of deceased-donor organs is compounded by donation metrics that fail to account for the total pool of possible donors, leading to ambiguous donor statistics. We sought to assess potential metrics of organ procurement organizations (OPOs) utilizing data from the Nationwide Inpatient Sample (NIS) from 2009-2012 and State Inpatient Databases (SIDs) from 2008-2014. A possible donor was defined as a ventilated inpatient death ≤75 years of age, without multi-organ system failure, sepsis, or cancer, whose cause of death was consistent with organ donation. These estimates were compared to patient-level data from chart review from two large OPOs. Among 2,907,658 inpatient deaths from 2009-2012, 96,028 (3.3%) were a "possible deceased-organ donor." The two proposed metrics of OPO performance were: (1) donation percentage (percentage of possible deceased-donors who become actual donors; range: 20.0-57.0%); and (2) organs transplanted per possible donor (range: 0.52-1.74). These metrics allow for comparisons of OPO performance and geographic-level donation rates, and identify areas in greatest need of interventions to improve donation rates. We demonstrate that administrative data can be used to identify possible deceased donors in the US and could be a data source for CMS to implement new OPO performance metrics in a standardized fashion. © 2017 The American Society of Transplantation and the American Society of Transplant Surgeons.

  2. That's How We Roll: The NASA K2 Mission Science Products and Their Performance Metrics

    Science.gov (United States)

    Van Cleve, Jeffrey E.; Howell, Steve B.; Smith, Jeffrey C.; Clarke, Bruce D.; Thompson, Susan E.; Bryson, Stephen T.; Lund, Mikkel N.; Handberg, Rasmus; Chaplin, William J.

    2016-07-01

    NASA's exoplanet Discovery mission Kepler was reconstituted as the K2 mission a year after the failure of the second of Kepler's four reaction wheels in 2013 May. Fine control of the spacecraft pointing is now accomplished through the use of the two remaining well-functioning reaction wheels and balancing the pressure of sunlight on the solar panels, which constrains K2 observations to fields in the ecliptic for up to approximately 80 days each. This pseudo-stable mechanism gives typical roll motion in the focal plane of 1.0 pixels peak-to-peak over 6 hr at the edges of the field, two orders of magnitude greater than typical 6 hr pointing errors in the Kepler primary mission. Despite these roll errors, the joint performance of the flight system and its modified science data processing pipeline restores much of the photometric precision of the primary mission while viewing a wide variety of targets, thus turning adversity into diversity. We define K2 performance metrics for data compression and pixel budget available in each campaign; the photometric noise on exoplanet transit and stellar activity timescales; residual correlations in corrected long-cadence light curves; and the protection of test sinusoidal signals from overfitting in the systematic error removal process. We find that data compression and noise both increase linearly with radial distance from the center of the field of view, with the data compression proportional to star count as well. At the center, where roll motion is nearly negligible, the limiting 6 hr photometric precision for a quiet 12th magnitude star can be as low as 30 ppm, only 25% higher than that of Kepler. This noise performance is achieved without sacrificing signal fidelity; test sinusoids injected into the data are attenuated by less than 10% for signals with periods upto 15 days, so that a wide range of stellar rotation and variability signatures are preserved by the K2 pipeline. At timescales relevant to asteroseismology, light

  3. Inter-organizational information exchange, supply chain compliance and performance

    NARCIS (Netherlands)

    Peng, G.

    2011-01-01

    In modern business management today's companies no longer compete as solely autonomous entities, but rather as supply chains. Supply chain collaboration can bring with substantial benefits and advantages for companies. To strenghten supply chain collaboration, inter-organisational communication is

  4. A comparative analysis of performance and cost metrics associated with a diesel to biodiesel fleet transition

    International Nuclear Information System (INIS)

    Shrake, Scott O.; Landis, Amy E.; Bilec, Melissa M.; Collinge, William O.; Xue Xiaobo

    2010-01-01

    With energy security, economic stabilization, and environmental sustainability being at the forefront of US policy making, the development of biodiesel production and use within the United States has been growing at an astonishing rate. According to the latest DOE energy report, biodiesel production and consumption in the US has decreased since its peak in 2008, but still remains an important factor in the US energy mix. However, despite recent studies showing that B5 has similar performance qualities to that of the currently used ultra-low-sulfur petroleum diesel (ULSD) fleet managers and corporations still remain hesitant regarding a switch to B5. This research examined the major areas of concern that arise with transitioning fleets from ULSD to B5 with the goal of alleviating those concerns with quantitative results from an actual fleet implementation and transition. In conjunction with the Pennsylvania Department of Transportation (PennDOT) a comparison of cost, cold weather fuel properties, engine performance, fuel economy, and maintenance and repairs was conducted using data obtained over 3 years from a pilot study. The results found that B5 performed as well or better than ULSD in all performance metrics. - Research Highlights: →Conducted multi-year study of a DOT fleet transition from ULSD to biodiesel (B5)→No significant difference in cold weather performance, engine power output, or torque→No significant difference in fuel economy→No resulting increase in maintenance and repair costs or frequency→Life-cycle costing revealed no hidden costs as a result of B5 implementation

  5. Typological review of environmental performance metrics (with illustrative examples for oil spill response).

    Science.gov (United States)

    Seager, Thomas P; Satterstrom, F Kyle; Linkov, Igor; Tuler, Seth P; Kay, Rebecca

    2007-07-01

    An intensification of interest in environmental assessment during the last 2 decades has driven corporate efforts to better document environmental goals, improve environmental management systems, and increase awareness of the environmental and ecological effects of business operations. This trend has been motivated partly by regulatory requirements (such as the Toxics Release Inventory in the United States) and partly by the inclination of some large manufacturing firms to embrace a broader social and environmental mission characterized as "sustainability" or "ecoefficiency." Moreover, the importance of measurable objectives in the US government has been recognized at least since the Government Performance Results Act of 1993, which was intended to both improve the efficiency of government and the confidence of the American public in government managers. However, in management of environmental crises - such as catastrophic oil or chemical spills - development of measurable performance standards has lagged. Consequently, government spill managers are unable to define success in terms that are easily communicated to public and other stakeholder groups, and they could be disadvantaged in their efforts to deploy response resources with maximum efficiency. In this paper, we present a typological review of environmental assessment measures and summarize some of the current practices and strategic goals among federal agencies with regard to oil and chemical spills. A general approach to organizing metrics for oil spill response, restoration, and recovery is also presented. The results could improve planning efforts and communication among different federal, state, and local agencies and public or stakeholder groups involved in spill management.

  6. Evaluation of the performance of a micromethod for measuring urinary iodine by using six sigma quality metrics.

    Science.gov (United States)

    Hussain, Husniza; Khalid, Norhayati Mustafa; Selamat, Rusidah; Wan Nazaimoon, Wan Mohamud

    2013-09-01

    The urinary iodine micromethod (UIMM) is a modification of the conventional method and its performance needs evaluation. UIMM performance was evaluated using the method validation and 2008 Iodine Deficiency Disorders survey data obtained from four urinary iodine (UI) laboratories. Method acceptability tests and Sigma quality metrics were determined using total allowable errors (TEas) set by two external quality assurance (EQA) providers. UIMM obeyed various method acceptability test criteria with some discrepancies at low concentrations. Method validation data calculated against the UI Quality Program (TUIQP) TEas showed that the Sigma metrics were at 2.75, 1.80, and 3.80 for 51±15.50 µg/L, 108±32.40 µg/L, and 149±38.60 µg/L UI, respectively. External quality control (EQC) data showed that the performance of the laboratories was within Sigma metrics of 0.85-1.12, 1.57-4.36, and 1.46-4.98 at 46.91±7.05 µg/L, 135.14±13.53 µg/L, and 238.58±17.90 µg/L, respectively. No laboratory showed a calculated total error (TEcalc)Sigma metrics at all concentrations. Only one laboratory had TEcalcperformance for the iodine deficiency levels and variable performance at other concentrations according to different TEas.

  7. Disentangling Supply Chain Management Competencies and their Impact on Performance

    DEFF Research Database (Denmark)

    Flöthmann, Christoph; Hoberg, Kai; Gammelgaard, Britta

    2018-01-01

    Purpose: The purpose of this paper is to extend the understanding of supply chain management (SCM) competencies by splitting them into individual and organizational components and measuring their impact on SCM performance. Design/methodology/approach: Hypothesized relationships are tested using...... structural equation modeling and bootstrapping mediation analysis based on a multi-national survey with 273 managers while drawing on the theory of knowledge management and literature streams of individual competencies in the fields of SCM and human resource management (HRM), respectively. Findings...

  8. On the performance of metrics to predict quality in point cloud representations

    Science.gov (United States)

    Alexiou, Evangelos; Ebrahimi, Touradj

    2017-09-01

    Point clouds are a promising alternative for immersive representation of visual contents. Recently, an increased interest has been observed in the acquisition, processing and rendering of this modality. Although subjective and objective evaluations are critical in order to assess the visual quality of media content, they still remain open problems for point cloud representation. In this paper we focus our efforts on subjective quality assessment of point cloud geometry, subject to typical types of impairments such as noise corruption and compression-like distortions. In particular, we propose a subjective methodology that is closer to real-life scenarios of point cloud visualization. The performance of the state-of-the-art objective metrics is assessed by considering the subjective scores as the ground truth. Moreover, we investigate the impact of adopting different test methodologies by comparing them. Advantages and drawbacks of every approach are reported, based on statistical analysis. The results and conclusions of this work provide useful insights that could be considered in future experimentation.

  9. CORPORATE FORESIGHT AND PERFORMANCE: A CHAIN-OF-EFFECTS MODEL

    DEFF Research Database (Denmark)

    Jissink, Tymen; Huizingh, Eelko K.R.E.; Rohrbeck, René

    2015-01-01

    In this paper we develop and validate a measurement scale for corporate foresight and examine its impact on performance in a chain-of-effects model. We conceptualize corporate foresight as an organizational ability consisting of five distinct dimensions: information scope, method usage, people......, formal organization, and culture. We investigate the relation of corporate foresight with three innovation performance dimensions – new product success, new product innovativeness, and financial performance. We use partial-least-squares structural equations modelling to assess our measurement mode ls...... and test our research hypotheses. Using a cross-industry sample of 153 innovative firms, we find that corporate foresight can be validly and reliably measured by our measurement instrument. The results of the structural model support the hypothesized positive effects of corporate foresight on all...

  10. Resilience Metrics for the Electric Power System: A Performance-Based Approach.

    Energy Technology Data Exchange (ETDEWEB)

    Vugrin, Eric D. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Castillo, Andrea R [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Silva-Monroy, Cesar Augusto [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-02-01

    Grid resilience is a concept related to a power system's ability to continue operating and delivering power even in the event that low probability, high-consequence disruptions such as hurricanes, earthquakes, and cyber-attacks occur. Grid resilience objectives focus on managing and, ideally, minimizing potential consequences that occur as a result of these disruptions. Currently, no formal grid resilience definitions, metrics, or analysis methods have been universally accepted. This document describes an effort to develop and describe grid resilience metrics and analysis methods. The metrics and methods described herein extend upon the Resilience Analysis Process (RAP) developed by Watson et al. for the 2015 Quadrennial Energy Review. The extension allows for both outputs from system models and for historical data to serve as the basis for creating grid resilience metrics and informing grid resilience planning and response decision-making. This document describes the grid resilience metrics and analysis methods. Demonstration of the metrics and methods is shown through a set of illustrative use cases.

  11. Correlation of Admission Metrics with Eventual Success in Mathematics Academic Performance of Freshmen in AMAIUB's Business Curricula

    Science.gov (United States)

    Calucag, Lina S.; Talisic, Geraldo C.; Caday, Aileen B.

    2016-01-01

    This is a correlational study research design, which aimed to determine the correlation of admission metrics with eventual success in mathematics academic performance of the admitted 177 first year students of Bachelor of Science in Business Informatics and 59 first year students of Bachelor of Science in International Studies. Using Pearson's…

  12. Performance assessment of a data processing chain for THz imaging

    Science.gov (United States)

    Catapano, Ilaria; Ludeno, Giovanni; Soldovieri, Francesco

    2017-04-01

    Nowadays, TeraHertz (THz) imaging is deserving huge attention as very high resolution diagnostic tool in many applicative fields, among which security, cultural heritage, material characterization and civil engineering diagnostics. This widespread use of THz waves is due to their non-ionizing nature, their capability of penetrating into non-metallic opaque materials, as well as to the technological advances, which have allowed the commercialization of compact, flexible and portable systems. However, the effectiveness of THz imaging depends strongly on the adopted data processing aimed at improving the imaging performance of the hardware device. In particular, data processing is required to mitigate detrimental and unavoidable effects like noise, signal attenuation, as well as to correct the sample surface topography. With respect to data processing, we have proposed recently a strategy involving three different steps aimed at reducing noise, filtering out undesired signal introduced by the adopted THz system and performing surface topography correction [1]. The first step regards noise filtering and exploits a procedure based on the Singular Value Decomposition (SVD) [2] of the data matrix, which does not require knowledge of noise level and it does not involve the use of a reference signal. The second step aims at removing the undesired signal that we have experienced to be introduced by the adopted Z-Omega Fiber-Coupled Terahertz Time Domain (FICO) system. Indeed, when the system works in a high-speed mode, an undesired low amplitude peak occurs always at the same time instant from the beginning of the observation time window and needs to be removed from the useful data matrix in order to avoid a wrong interpretation of the imaging results. The third step of the considered data processing chain is a topographic correction, which needs in order to image properly the samples surface and its inner structure. Such a procedure performs an automatic alignment of the

  13. Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.

    Science.gov (United States)

    Hung, Andrew J; Chen, Jian; Che, Zhengping; Nilanon, Tanachat; Jarc, Anthony; Titus, Micha; Oh, Paul J; Gill, Inderbir S; Liu, Yan

    2018-05-01

    Surgical performance is critical for clinical outcomes. We present a novel machine learning (ML) method of processing automated performance metrics (APMs) to evaluate surgical performance and predict clinical outcomes after robot-assisted radical prostatectomy (RARP). We trained three ML algorithms utilizing APMs directly from robot system data (training material) and hospital length of stay (LOS; training label) (≤2 days and >2 days) from 78 RARP cases, and selected the algorithm with the best performance. The selected algorithm categorized the cases as "Predicted as expected LOS (pExp-LOS)" and "Predicted as extended LOS (pExt-LOS)." We compared postoperative outcomes of the two groups (Kruskal-Wallis/Fisher's exact tests). The algorithm then predicted individual clinical outcomes, which we compared with actual outcomes (Spearman's correlation/Fisher's exact tests). Finally, we identified five most relevant APMs adopted by the algorithm during predicting. The "Random Forest-50" (RF-50) algorithm had the best performance, reaching 87.2% accuracy in predicting LOS (73 cases as "pExp-LOS" and 5 cases as "pExt-LOS"). The "pExp-LOS" cases outperformed the "pExt-LOS" cases in surgery time (3.7 hours vs 4.6 hours, p = 0.007), LOS (2 days vs 4 days, p = 0.02), and Foley duration (9 days vs 14 days, p = 0.02). Patient outcomes predicted by the algorithm had significant association with the "ground truth" in surgery time (p algorithm in predicting, were largely related to camera manipulation. To our knowledge, ours is the first study to show that APMs and ML algorithms may help assess surgical RARP performance and predict clinical outcomes. With further accrual of clinical data (oncologic and functional data), this process will become increasingly relevant and valuable in surgical assessment and training.

  14. A novel patient-centered "intention-to-treat" metric of U.S. lung transplant center performance.

    Science.gov (United States)

    Maldonado, Dawn A; RoyChoudhury, Arindam; Lederer, David J

    2018-01-01

    Despite the importance of pretransplantation outcomes, 1-year posttransplantation survival is typically considered the primary metric of lung transplant center performance in the United States. We designed a novel lung transplant center performance metric that incorporates both pre- and posttransplantation survival time. We performed an ecologic study of 12 187 lung transplant candidates listed at 56 U.S. lung transplant centers between 2006 and 2012. We calculated an "intention-to-treat" survival (ITTS) metric as the percentage of waiting list candidates surviving at least 1 year after transplantation. The median center-level 1-year posttransplantation survival rate was 84.1%, and the median center-level ITTS was 66.9% (mean absolute difference 19.6%, 95% limits of agreement 4.3 to 35.1%). All but 10 centers had ITTS values that were significantly lower than 1-year posttransplantation survival rates. Observed ITTS was significantly lower than expected ITTS for 7 centers. These data show that one third of lung transplant candidates do not survive 1 year after transplantation, and that 12% of centers have lower than expected ITTS. An "intention-to-treat" survival metric may provide a more realistic expectation of patient outcomes at transplant centers and may be of value to transplant centers and policymakers. © 2017 The American Society of Transplantation and the American Society of Transplant Surgeons.

  15. Lean, green and resilient practices influence on supply chain performance

    DEFF Research Database (Denmark)

    Govindan, K.; Azevedo, S. G.; Carvalho, H.

    2015-01-01

    performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction...... of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain...... is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them....

  16. Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security

    Directory of Open Access Journals (Sweden)

    Javier Arturo Orjuela Castro

    2017-10-01

    Full Text Available Purpose: Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC. This research proposes a system dynamics model to analyze the effects of structures: lean, agile, flexible, responsive and resilient, in the overall performance and of each agent of the PFSC. Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behavior of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon. Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modeled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs. Research limitations/implications: The results show the need to investigate mixed structures with the FPSC´s own characteristics; the model can be applied in other supply chains of perishable foods. Practical implications: Management by combining structures in the FFSC, improves logistics performance and contributes to food security. Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security. Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.

  17. Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security

    Energy Technology Data Exchange (ETDEWEB)

    Castro, Javier Arturo Orjuela; Jaimes, Wilson Adarme

    2017-07-01

    Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC). This research proposes a system dynamics model to analyze the effects of structures: lean, agile, flexible, responsive and resilient, in the overall performance and of each agent of the PFSC. Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behavior of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon. Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modeled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs. Research limitations/implications: The results show the need to investigate mixed structures with the FPSC´s own characteristics; the model can be applied in other supply chains of perishable foods. Practical implications: Management by combining structures in the FFSC, improves logistics performance and contributes to food security. Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security. Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.

  18. Dynamic impact of the structure of the supply chain of perishable foods on logistics performance and food security

    International Nuclear Information System (INIS)

    Castro, Javier Arturo Orjuela; Jaimes, Wilson Adarme

    2017-01-01

    Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC). This research proposes a system dynamics model to analyze the effects of structures: lean, agile, flexible, responsive and resilient, in the overall performance and of each agent of the PFSC. Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behavior of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon. Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modeled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs. Research limitations/implications: The results show the need to investigate mixed structures with the FPSC´s own characteristics; the model can be applied in other supply chains of perishable foods. Practical implications: Management by combining structures in the FFSC, improves logistics performance and contributes to food security. Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security. Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.

  19. Assessment of Innovation and Performance in the Fruit Chain; The Innovation-Performance Matrix

    NARCIS (Netherlands)

    Trienekens, J.H.; Uffelen, van R.L.M.; Debaire, J.; Omta, S.W.F.

    2008-01-01

    Purpose - This paper aims to bridge the concepts of innovation and performance and to develop a framework to assess innovation and performance in food chains. Design/methodology/approach - Based on an extensive literature search the paper identifies critical success factors (CSFs) and related

  20. Integrating structure, conduct and performance into value chain analysis

    NARCIS (Netherlands)

    Santana De Figueiredo Junior, H.; Meuwissen, M.P.M.; Oude Lansink, A.G.J.M.

    2014-01-01

    Value chain analysis has been adopted by several research and funding institutions for analysing local development opportunities. Development practitioners, however, are still looking for more solid grounds for value chain strategy development, especially since the expected outcomes of

  1. Use of performance metrics for the measurement of universal coverage for maternal care in Mexico.

    Science.gov (United States)

    Serván-Mori, Edson; Contreras-Loya, David; Gomez-Dantés, Octavio; Nigenda, Gustavo; Sosa-Rubí, Sandra G; Lozano, Rafael

    2017-06-01

    This study provides evidence for those working in the maternal health metrics and health system performance fields, as well as those interested in achieving universal and effective health care coverage. Based on the perspective of continuity of health care and applying quasi-experimental methods to analyse the cross-sectional 2009 National Demographic Dynamics Survey (n = 14 414 women), we estimated the middle-term effects of Mexico's new public health insurance scheme, Seguro Popular de Salud (SPS) (vs women without health insurance) on seven indicators related to maternal health care (according to official guidelines): (a) access to skilled antenatal care (ANC); (b) timely ANC; (c) frequent ANC; (d) adequate content of ANC; (e) institutional delivery; (f) postnatal consultation and (g) access to standardized comprehensive antenatal and postnatal care (or the intersection of the seven process indicators). Our results show that 94% of all pregnancies were attended by trained health personnel. However, comprehensive access to ANC declines steeply in both groups as we move along the maternal healthcare continuum. The percentage of institutional deliveries providing timely, frequent and adequate content of ANC reached 70% among SPS women (vs 64.7% in the uninsured), and only 57.4% of SPS-affiliated women received standardized comprehensive care (vs 53.7% in the uninsured group). In Mexico, access to comprehensive antenatal and postnatal care as defined by Mexican guidelines (in accordance to WHO recommendations) is far from optimal. Even though a positive influence of SPS on maternal care was documented, important challenges still remain. Our results identified key bottlenecks of the maternal healthcare continuum that should be addressed by policy makers through a combination of supply side interventions and interventions directed to social determinants of access to health care. © The Author 2017. Published by Oxford University Press in association with The

  2. Sigma metrics as a tool for evaluating the performance of internal quality control in a clinical chemistry laboratory.

    Science.gov (United States)

    Kumar, B Vinodh; Mohan, Thuthi

    2018-01-01

    Six Sigma is one of the most popular quality management system tools employed for process improvement. The Six Sigma methods are usually applied when the outcome of the process can be measured. This study was done to assess the performance of individual biochemical parameters on a Sigma Scale by calculating the sigma metrics for individual parameters and to follow the Westgard guidelines for appropriate Westgard rules and levels of internal quality control (IQC) that needs to be processed to improve target analyte performance based on the sigma metrics. This is a retrospective study, and data required for the study were extracted between July 2015 and June 2016 from a Secondary Care Government Hospital, Chennai. The data obtained for the study are IQC - coefficient of variation percentage and External Quality Assurance Scheme (EQAS) - Bias% for 16 biochemical parameters. For the level 1 IQC, four analytes (alkaline phosphatase, magnesium, triglyceride, and high-density lipoprotein-cholesterol) showed an ideal performance of ≥6 sigma level, five analytes (urea, total bilirubin, albumin, cholesterol, and potassium) showed an average performance of sigma level and for level 2 IQCs, same four analytes of level 1 showed a performance of ≥6 sigma level, and four analytes (urea, albumin, cholesterol, and potassium) showed an average performance of sigma level. For all analytes sigma level, the quality goal index (QGI) was 1.2 indicated inaccuracy. This study shows that sigma metrics is a good quality tool to assess the analytical performance of a clinical chemistry laboratory. Thus, sigma metric analysis provides a benchmark for the laboratory to design a protocol for IQC, address poor assay performance, and assess the efficiency of existing laboratory processes.

  3. Inter-organizational information exchange, supply chain compliance and performance

    OpenAIRE

    Peng, G.

    2011-01-01

    In modern business management today's companies no longer compete as solely autonomous entities, but rather as supply chains. Supply chain collaboration can bring with substantial benefits and advantages for companies. To strenghten supply chain collaboration, inter-organisational communication is an essential enabler.

  4. The impact of Green Information Systems on sustainable supply chain and organizational performance

    OpenAIRE

    Ogunyemi, T; Aktas, E

    2013-01-01

    This paper reports about a research in progress focusing on the impact of green information systems on sustainable supply chain performance. Green information systems, supply chains and their relation to sustainability and performance measurement are explained. The preliminary literature review resulted in a draft conceptual framework where sustainable supply chain measures focusing on economic, environmental and social aspects are combined with traditional supply chain performance measures o...

  5. Performance metrics for Inertial Confinement Fusion implosions: aspects of the technical framework for measuring progress in the National Ignition Campaign

    International Nuclear Information System (INIS)

    Spears, B.K.; Glenzer, S.; Edwards, M.J.; Brandon, S.; Clark, D.; Town, R.; Cerjan, C.; Dylla-Spears, R.; Mapoles, E.; Munro, D.; Salmonson, J.; Sepke, S.; Weber, S.; Hatchett, S.; Haan, S.; Springer, P.; Moses, E.; Mapoles, E.; Munro, D.; Salmonson, J.; Sepke, S.

    2011-01-01

    The National Ignition Campaign (NIC) uses non-igniting 'THD' capsules to study and optimize the hydrodynamic assembly of the fuel without burn. These capsules are designed to simultaneously reduce DT neutron yield and to maintain hydrodynamic similarity with the DT ignition capsule. We will discuss nominal THD performance and the associated experimental observables. We will show the results of large ensembles of numerical simulations of THD and DT implosions and their simulated diagnostic outputs. These simulations cover a broad range of both nominal and off nominal implosions. We will focus on the development of an experimental implosion performance metric called the experimental ignition threshold factor (ITFX). We will discuss the relationship between ITFX and other integrated performance metrics, including the ignition threshold factor (ITF), the generalized Lawson criterion (GLC), and the hot spot pressure (HSP). We will then consider the experimental results of the recent NIC THD campaign. We will show that we can observe the key quantities for producing a measured ITFX and for inferring the other performance metrics. We will discuss trends in the experimental data, improvement in ITFX, and briefly the upcoming tuning campaign aimed at taking the next steps in performance improvement on the path to ignition on NIF.

  6. Performance metrics for Inertial Confinement Fusion implosions: aspects of the technical framework for measuring progress in the National Ignition Campaign

    Energy Technology Data Exchange (ETDEWEB)

    Spears, B K; Glenzer, S; Edwards, M J; Brandon, S; Clark, D; Town, R; Cerjan, C; Dylla-Spears, R; Mapoles, E; Munro, D; Salmonson, J; Sepke, S; Weber, S; Hatchett, S; Haan, S; Springer, P; Moses, E; Mapoles, E; Munro, D; Salmonson, J; Sepke, S

    2011-12-16

    The National Ignition Campaign (NIC) uses non-igniting 'THD' capsules to study and optimize the hydrodynamic assembly of the fuel without burn. These capsules are designed to simultaneously reduce DT neutron yield and to maintain hydrodynamic similarity with the DT ignition capsule. We will discuss nominal THD performance and the associated experimental observables. We will show the results of large ensembles of numerical simulations of THD and DT implosions and their simulated diagnostic outputs. These simulations cover a broad range of both nominal and off nominal implosions. We will focus on the development of an experimental implosion performance metric called the experimental ignition threshold factor (ITFX). We will discuss the relationship between ITFX and other integrated performance metrics, including the ignition threshold factor (ITF), the generalized Lawson criterion (GLC), and the hot spot pressure (HSP). We will then consider the experimental results of the recent NIC THD campaign. We will show that we can observe the key quantities for producing a measured ITFX and for inferring the other performance metrics. We will discuss trends in the experimental data, improvement in ITFX, and briefly the upcoming tuning campaign aimed at taking the next steps in performance improvement on the path to ignition on NIF.

  7. METRIC context unit architecture

    Energy Technology Data Exchange (ETDEWEB)

    Simpson, R.O.

    1988-01-01

    METRIC is an architecture for a simple but powerful Reduced Instruction Set Computer (RISC). Its speed comes from the simultaneous processing of several instruction streams, with instructions from the various streams being dispatched into METRIC's execution pipeline as they become available for execution. The pipeline is thus kept full, with a mix of instructions for several contexts in execution at the same time. True parallel programming is supported within a single execution unit, the METRIC Context Unit. METRIC's architecture provides for expansion through the addition of multiple Context Units and of specialized Functional Units. The architecture thus spans a range of size and performance from a single-chip microcomputer up through large and powerful multiprocessors. This research concentrates on the specification of the METRIC Context Unit at the architectural level. Performance tradeoffs made during METRIC's design are discussed, and projections of METRIC's performance are made based on simulation studies.

  8. Performance measurement in agri-food supply chains: a case study

    NARCIS (Netherlands)

    Aramyan, L.H.; Oude Lansink, A.G.J.M.; Vorst, van der J.G.A.J.; Kooten, van O.

    2007-01-01

    Purpose - Measurement of the performance of entire supply chains is an important issue because it allows for "tracking and tracing" of efficacy and efficiency failures and leads to more informed decision making with regard to chain design. However, the choice of appropriate supply chain performance

  9. Identification of robust statistical downscaling methods based on a comprehensive suite of performance metrics for South Korea

    Science.gov (United States)

    Eum, H. I.; Cannon, A. J.

    2015-12-01

    Climate models are a key provider to investigate impacts of projected future climate conditions on regional hydrologic systems. However, there is a considerable mismatch of spatial resolution between GCMs and regional applications, in particular a region characterized by complex terrain such as Korean peninsula. Therefore, a downscaling procedure is an essential to assess regional impacts of climate change. Numerous statistical downscaling methods have been used mainly due to the computational efficiency and simplicity. In this study, four statistical downscaling methods [Bias-Correction/Spatial Disaggregation (BCSD), Bias-Correction/Constructed Analogue (BCCA), Multivariate Adaptive Constructed Analogs (MACA), and Bias-Correction/Climate Imprint (BCCI)] are applied to downscale the latest Climate Forecast System Reanalysis data to stations for precipitation, maximum temperature, and minimum temperature over South Korea. By split sampling scheme, all methods are calibrated with observational station data for 19 years from 1973 to 1991 are and tested for the recent 19 years from 1992 to 2010. To assess skill of the downscaling methods, we construct a comprehensive suite of performance metrics that measure an ability of reproducing temporal correlation, distribution, spatial correlation, and extreme events. In addition, we employ Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to identify robust statistical downscaling methods based on the performance metrics for each season. The results show that downscaling skill is considerably affected by the skill of CFSR and all methods lead to large improvements in representing all performance metrics. According to seasonal performance metrics evaluated, when TOPSIS is applied, MACA is identified as the most reliable and robust method for all variables and seasons. Note that such result is derived from CFSR output which is recognized as near perfect climate data in climate studies. Therefore, the

  10. Lean Supply Chain Planning: A Performance Evaluation through Simulation

    Directory of Open Access Journals (Sweden)

    Rossini Matteo

    2016-01-01

    Full Text Available Nowadays companies look more and more for improving their efficiency to excel in the market. At the same time, the competition has moved from firm level to whole supply chain level. Supply chain are very complex systems and lacks of coordination among their members leads to inefficiency. Supply chain planning task is to improve coordination among supply chain members. Which is the best planning solution to improve efficiency is an open issue. On the other hand, Lean approach is becoming more and more popular among managers. Lean approach is recognize as efficiency engine for production systems, but effects of Lean implementation out of single firm boundaries is not clear. This paper aims at providing a theoretical and practical starting point for Lean implementation in supply chain planning issue. To reach it, a DES simulation model of a three-echelon and multi-product supply chain has been set. Lean management is a very broad topic and this paper focuses on two principles of “pull” and “create the flow”. Kanban system and setup-time and batch-size reductions are implemented in the lean-configured supply chain to apply “pull” and “create the flow” respectively. Lean principles implementations have been analyzed and compared with other supply chain planning policies: EOQ and information sharing (Visibility. Supported by the simulation study, this paper points Lean supply chain planning is a competitive planning policies to increase efficiency.

  11. THE IMPACT OF MARKETING PERFORMANCES ON ORGANIZATIONAL PERFORMANCES IN THE CONTEXT OF ROMANIAN SUPPLY CHAINS

    Directory of Open Access Journals (Sweden)

    Gyula Laszlo FLORIAN

    2015-06-01

    Full Text Available In order to achieve the desired performances and the increased value added to the final consumer, organizations need not only to integrate their core businesses and align them to business strategy but also to embrace the marketing philosophy. After presenting the main issues in operationalizing the marketing performances, we propose an empirical research using a working dataset of 64 firms from various industries to analyze the relationship between marketing and organizational performances. The research methodology employed is based on structural equations modeling. Results document that marketing orientation influences organizational performances in the framework of the supply chain management strategic approach to organizational performances.

  12. A contest of sensors in close range 3D imaging: performance evaluation with a new metric test object

    Directory of Open Access Journals (Sweden)

    M. Hess

    2014-06-01

    Full Text Available An independent means of 3D image quality assessment is introduced, addressing non-professional users of sensors and freeware, which is largely characterized as closed-sourced and by the absence of quality metrics for processing steps, such as alignment. A performance evaluation of commercially available, state-of-the-art close range 3D imaging technologies is demonstrated with the help of a newly developed Portable Metric Test Artefact. The use of this test object provides quality control by a quantitative assessment of 3D imaging sensors. It will enable users to give precise specifications which spatial resolution and geometry recording they expect as outcome from their 3D digitizing process. This will lead to the creation of high-quality 3D digital surrogates and 3D digital assets. The paper is presented in the form of a competition of teams, and a possible winner will emerge.

  13. Forestry Tire Tractive Performance: New, Worn, and with Chains

    Science.gov (United States)

    C.R. Vechinski; C.R. Johnson; R.L. Raper; T.P. McDonald

    1999-01-01

    The tractive perfomance of a new tire, a worn tire, and a worn tire with forestry tire chains was measured in four soil types. Two of the soil types simulated forest-floor conditions with one soil type having a sulfate cover of pine straw and the other having a surface cover of sod. The two remaining soil types were bare. The worn tire with and without chains had...

  14. Multidimensional Structure for Definingthe Effect of Organizational Culture and Supply Chain Culture on Knowledge Sharing in Supply Chain of Automotive Industry: With Emphasis on Improving Supply Chain Performance

    Directory of Open Access Journals (Sweden)

    Mohsen Shafiei Nikabadi

    2012-12-01

    Full Text Available : One of the key aspects of knowledge management is organizational culture. Finding an appropriate culture and key indicators for culture in implementation and execution of knowledge management are one the most important matter in knowledge management implementation in any organization. So, the main purpose of this article was presenting a multidimensional structure for organizational culture and supply chain culture with the aim of effective knowledge sharing in supply chain of automotive industry of Iran. First, according to the literature review, key indicators for any dimension of multidimensional structure of the research were defined. Then, key indicators were revised, adjusted and modified by three industry experts and three college professors, so 4 questions and 5 hypotheses were offered. Next, that multidimensional structure has been assessed as a survey and cause-effect study in supply chains of Iran Khodro Company and Saipa Company.115 industry professionals have participated in this study. In the research, after testing co-linearity between variables, relations between different dimensions of the multidimensional structure have been assessed with the help of path analysis. Research findings showed that the multidimensional structure introduced in the study had an appropriate fitness in automotive industry. The results of path analysis also showed that the culture of the supply chain has had the greatest impact of Business culture. On the other hand, business culture had a strong but indirect effect on supply chain performance. And finally, the greatest effect of knowledge sharing and transferring was on non-financial performance of supply chain.

  15. Performance analysis of supply chains under customer demand information sharing using role play game

    Directory of Open Access Journals (Sweden)

    T. Chinna Pamulety

    2012-04-01

    Full Text Available Supply chain is a network of organizations that work together and performs various business functions such as procurement of raw materials, converting the raw material into semi-finished or finished goods and distributing the same to their ultimate customers. Presence of bullwhip effect in a supply chain is costly and degrades the performance of the supply chain. Reduction in bullwhip effect can improve the efficiency or profitability of a supply chain. The objective of this paper is to know the impact of imperfect Advance Demand Information (ADI sharing on bullwhip effect in a four-stage serial supply chain and to evaluate the supply chain performance by conducting an experiment similar to the beer distribution game. The performance measures used are variance of orders placed by each stage, fill rate, total inventory at each stage and total holding cost of the supply chain. Results show that imperfect ADI improves the performance of the supply chain. The performance of the supply chain is also evaluated under order up to level (R, S policy with safety stock and it is found that the performance of supply chain is better when inventory policy used.

  16. Effects of Supply Chain Risk Management on Organization Performance: Case of Andy Forwarders Services Limited

    OpenAIRE

    Caroline Wanjiru Munyuko

    2015-01-01

    The purpose of the research was to determine the effects of Supply chain risk management on organization performance. Previous studies have focused on risk management within the general context of an organization but little attention has been focused on how supply chain risk affect organization performance in terms of its bottom line profits and overall organization objectives. Particular attention was paid to the effects of supply chain risk management variables to the performance of the org...

  17. Performance Based Logistics - A Bridge Between Acquisition Reform and Logistics Supply Chain Management

    National Research Council Canada - National Science Library

    Hurst, Dana

    2006-01-01

    .... Performance based logistics links acquisition and supply chain management in the Total Life Cycle Systems Management and thus may provide the opportunity for true reform resulting in increased...

  18. The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics

    DEFF Research Database (Denmark)

    Stephen, LaConte; Rottenberg, David; Strother, Stephen

    2003-01-01

    to obtain cross-validation-based model performance estimates of prediction accuracy and global reproducibility for various degrees of model complexity. We rely on the concept of an analysis chain meta-model in which all parameters of the preprocessing steps along with the final statistical model are treated...

  19. The Relationship between Information Exchange Benefits and Performance: the Mediating Effect of Supply Chain Compliance in the Chinese Poultry Chain

    NARCIS (Netherlands)

    Peng, G.; Trienekens, J.H.; Omta, S.W.F.; Wang, W.

    2012-01-01

    This paper aims to examine the relationships between information exchange benefits and company performance, and the mediating effect of supply chain compliance on this relationship. A sample of 165 buying companies and of 96 suppliers were analyzed by partial least square (PLS) path modeling. Five

  20. Effects of Variable Resistance Using Chains on Bench Throw Performance in Trained Rugby Players.

    Science.gov (United States)

    Godwin, Mark S; Fernandes, John F T; Twist, Craig

    2018-04-01

    Godwin, MS, Fernandes, JFT, and Twist, C. Effects of variable resistance using chains on bench throw performance in trained rugby players. J Strength Cond Res 32(4): 950-954, 2018-This study sought to determine the effects of variable resistance using chain resistance on bench throw performance. Eight male rugby union players (19.4 ± 2.3 years, 88.8 ± 6.0 kg, 1RM 105.6 ± 17.0 kg) were recruited from a national league team. In a randomized crossover design, participant's performed 3 bench throws at 45% one repetition maximum (1RM) at a constant load (no chains) or a variable load (30% 1RM constant load and 15% 1RM variable load; chains) with 7 days between conditions. For each repetition, the peak and mean velocity, peak power, peak acceleration, and time to peak velocity were recorded. Differences in peak and mean power were very likely trivial and unclear between the chain and no chain conditions, respectively. Possibly greater peak and likely greater mean bar velocity were accompanied by likely to most likely greater bar velocity between 50 and 400 ms from initiation of bench press in the chain condition compared with the no chain condition. Accordingly, bar acceleration was very likely greater in the chain condition compared with the no chain condition. In conclusion, these results show that the inclusion of chain resistance can acutely enhance several variables in the bench press throw and gives support to this type of training.

  1. The Role of Information Security Management Systems in Supply Chain Performance Improvement

    Directory of Open Access Journals (Sweden)

    Mohammad Reza Taghva

    2012-02-01

    Full Text Available In recent years, the researchers have emphasized on positive effect of information system on supply chain performance such as organizational processes integration, information sharing, information technology, etc. In other hand, information security management system is one of the subjects that researches considered its effects on increase accuracy and effective information exchange, access to accurate and timely information and reduce errors of information system. Since, any research has not been done on this ground (the importance of ISMS on supply chain performance. Therefore, it was felt that a research should have done on these approaches on supply chain. In this respect, current research was seeking that how ISMS had impact on supply chain performance in automotive industry and this was the innovative aspect of this paper. So first of all, after the review of the information security management system literature, supply chain performance was considered by the balanced scorecard approach then the most important factors of these two subjects was extracted by correlation analysis. In this way, it was considered that how ISMS had impact on supply chain performance by correlation analysis. The results showed that different dimensions of ISMS (information uniformity, prevent the human and machine mistake, information be accuracy, and rectitude and instruction for users had impact on four dimensions of supply chain performance (customers, financial, internal processes and learning and growth in three levels (strategic, technical, and operational in supply chain. At the end, it was showed that ISMS lays the ground for increase supply chain performance.

  2. Analytical performance evaluation of a high-volume hematology laboratory utilizing sigma metrics as standard of excellence.

    Science.gov (United States)

    Shaikh, M S; Moiz, B

    2016-04-01

    Around two-thirds of important clinical decisions about the management of patients are based on laboratory test results. Clinical laboratories are required to adopt quality control (QC) measures to ensure provision of accurate and precise results. Six sigma is a statistical tool, which provides opportunity to assess performance at the highest level of excellence. The purpose of this study was to assess performance of our hematological parameters on sigma scale in order to identify gaps and hence areas of improvement in patient care. Twelve analytes included in the study were hemoglobin (Hb), hematocrit (Hct), red blood cell count (RBC), mean corpuscular volume (MCV), red cell distribution width (RDW), total leukocyte count (TLC) with percentages of neutrophils (Neutr%) and lymphocytes (Lymph %), platelet count (Plt), mean platelet volume (MPV), prothrombin time (PT), and fibrinogen (Fbg). Internal quality control data and external quality assurance survey results were utilized for the calculation of sigma metrics for each analyte. Acceptable sigma value of ≥3 was obtained for the majority of the analytes included in the analysis. MCV, Plt, and Fbg achieved value of performed poorly on both level 1 and 2 controls with sigma value of <3. Despite acceptable conventional QC tools, application of sigma metrics can identify analytical deficits and hence prospects for the improvement in clinical laboratories. © 2016 John Wiley & Sons Ltd.

  3. Anticipation of lead time performance in supply chain operations planning

    NARCIS (Netherlands)

    Jansen, M.M.; Kok, de A.G.; Fransoo, J.C.

    2009-01-01

    Whilst being predominantly used in practice, linear and mixed integer programming models for Supply Chain Operations Planning (SCOP) are not well suited for modeling the relationship between the release of work to a production unit and its output over time. In this paper we propose an approach where

  4. Dynamic Impact of Online Word-of-Mouth and Advertising on Supply Chain Performance

    Science.gov (United States)

    Feng, Jian

    2018-01-01

    Cooperative (co-op) advertising investments benefit brand goodwill and further improve supply chain performance. Meanwhile, online word-of-mouth (OWOM) can also play an important role in supply chain performance. On the basis of co-op advertising, this paper considers a single supply chain structure led by a manufacturer and examines a fundamental issue concerning the impact of OWOM on supply chain performance. Firstly, by the method of differential game, this paper analyzes the dynamic impact of OWOM and advertising on supply chain performance (i.e., brand goodwill, sales, and profits) under three different supply chain decisions (i.e., only advertising, and manufacturers with and without sharing cost of OWOM with retailers). We compare and analyze the optimal strategies of advertising and OWOM under the above different supply chain decisions. Secondly, the system dynamics model is established to reflect the dynamic impact of OWOM and advertising on supply chain performance. Finally, three supply chain decisions under two scenarios, strong brand and weak brand, are analyzed through the system dynamics simulation. The results show that the input of OWOM can enhance brand goodwill and improve earnings. It further promotes the OWOM reputation and improves the supply chain performance if manufacturers share the cost of OWOM with retailers. Then, in order to eliminate the retailers from word-of-mouth fraud and establish a fair competition mechanism, the third parties (i.e., regulators or e-commerce platforms) should take appropriate punitive measures against retailers. Furthermore, the effect of OWOM on supply chain performance under a strong brand differed from those under a weak brand. Last but not least, if OWOM is improved, there would be more remarkable performance for the weak brand than that for the strong brand in the supply chain. PMID:29300361

  5. Dynamic Impact of Online Word-of-Mouth and Advertising on Supply Chain Performance.

    Science.gov (United States)

    Feng, Jian; Liu, Bin

    2018-01-04

    Cooperative (co-op) advertising investments benefit brand goodwill and further improve supply chain performance. Meanwhile, online word-of-mouth (OWOM) can also play an important role in supply chain performance. On the basis of co-op advertising, this paper considers a single supply chain structure led by a manufacturer and examines a fundamental issue concerning the impact of OWOM on supply chain performance. Firstly, by the method of differential game, this paper analyzes the dynamic impact of OWOM and advertising on supply chain performance (i.e., brand goodwill, sales, and profits) under three different supply chain decisions (i.e., only advertising, and manufacturers with and without sharing cost of OWOM with retailers). We compare and analyze the optimal strategies of advertising and OWOM under the above different supply chain decisions. Secondly, the system dynamics model is established to reflect the dynamic impact of OWOM and advertising on supply chain performance. Finally, three supply chain decisions under two scenarios, strong brand and weak brand, are analyzed through the system dynamics simulation. The results show that the input of OWOM can enhance brand goodwill and improve earnings. It further promotes the OWOM reputation and improves the supply chain performance if manufacturers share the cost of OWOM with retailers. Then, in order to eliminate the retailers from word-of-mouth fraud and establish a fair competition mechanism, the third parties (i.e., regulators or e-commerce platforms) should take appropriate punitive measures against retailers. Furthermore, the effect of OWOM on supply chain performance under a strong brand differed from those under a weak brand. Last but not least, if OWOM is improved, there would be more remarkable performance for the weak brand than that for the strong brand in the supply chain.

  6. Effects of Technological Innovation in Relationship between Green Supply Chain Management Practices and Green Performance

    OpenAIRE

    Umar, Mohammed Sangiru; Danjuma, Ibrahim; Hammawa, Dahiru Dauda; Habibu, Sherif Ahmed

    2016-01-01

    Although scholars have conceptualised on green supply chain management practices and green performance, evidence to validate the conceptualisation was lacking, albeit in the context of small and medium enterprises. In addition, effect of technological innovation on supply chain practices and green performance was largely unexplored by researchers. Therefore this study validates and provides empirical evidence on the relationship between green supply chain management practices, technological i...

  7. Omega-3 long-chain polyunsaturated fatty acids support aerial insectivore performance more than food quantity.

    Science.gov (United States)

    Twining, Cornelia W; Brenna, J Thomas; Lawrence, Peter; Shipley, J Ryan; Tollefson, Troy N; Winkler, David W

    2016-09-27

    Once-abundant aerial insectivores, such as the Tree Swallow (Tachycineta bicolor), have declined steadily in the past several decades, making it imperative to understand all aspects of their ecology. Aerial insectivores forage on a mixture of aquatic and terrestrial insects that differ in fatty acid composition, specifically long-chain omega-3 polyunsaturated fatty acid (LCPUFA) content. Aquatic insects contain high levels of both LCPUFA and their precursor omega-3 PUFA, alpha-linolenic acid (ALA), whereas terrestrial insects contain much lower levels of both. We manipulated both the quantity and quality of food for Tree Swallow chicks in a full factorial design. Diets were either high-LCPUFA or low in LCPUFA but high in ALA, allowing us to separate the effects of direct LCPUFA in diet from the ability of Tree Swallows to convert their precursor, ALA, into LCPUFA. We found that fatty acid composition was more important for Tree Swallow chick performance than food quantity. On high-LCPUFA diets, chicks grew faster, were in better condition, and had greater immunocompetence and lower basal metabolic rates compared with chicks on both low LCPUFA diets. Increasing the quantity of high-LCPUFA diets resulted in improvements to all metrics of performance while increasing the quantity of low-LCPUFA diets only resulted in greater immunocompetence and lower metabolic rates. Chicks preferentially retained LCPUFA in brain and muscle when both food quantity and LCPUFA were limited. Our work suggests that fatty acid composition is an important dimension of aerial insectivore nutritional ecology and reinforces the importance of high-quality aquatic habitat for these declining birds.

  8. Study on Effects of Incentive Factors on supply chain Performance in E-commerce Environment

    Directory of Open Access Journals (Sweden)

    Mu Huiping

    2017-01-01

    Full Text Available The past studies aimed at the effects which related incentive factors of supply chain mad-e on supply chain performance are mostly concentrated on the manufacturing sector,Few literature regards the e-commerce system leading enterprise as the core enterprise of supply chain. In the e-commerce environment, supply contract, trust, relationship commitment is regarded as a motivating factor in Inter-enterprise supply chain and the operating conditions with suppliers, financial situation of enterprises in two dimensions are used to measure the performance of the supply chain, and then construct the theoretical model assumptions .Using structural equation modeling empirical analysis,the results show that the supply contract, trust, relationship commitment have significant positive effects on suppliers operating performance and supply contracts have a significant positive impact on corporate financial performance; Effects of trust, relationship commitment and supplier operational performance on corporate financial performance are not significant.

  9. Influence of green supply chain risk management on performance of Chinese manufacturing enterprises

    Science.gov (United States)

    Zhang, Dongying; Yuting, Duan; Junyi, Shen

    2017-12-01

    This paper briefly introduces the background of the research on the impact of green supply chain risk management on corporate performance, reviews the relevant research literature at home and abroad, and uses the gray relational analysis to analyze the impact of the green supply chain risk management on enterprise performance based on 26 industry-related statistical data, from purchasing risk management performance,manufacturing risk management performance and marketing risk management performance.

  10. Assessing the performance of macroinvertebrate metrics in the Challhuaco-Ñireco System (Northern Patagonia, Argentina

    Directory of Open Access Journals (Sweden)

    Melina Mauad

    2015-09-01

    Full Text Available ABSTRACT Seven sites were examined in the Challhuaco-Ñireco system, located in the reserve of the Nahuel Huapi National Park, however part of the catchment is urbanized, being San Carlos de Bariloche (150,000 inhabitants placed in the lower part of the basin. Physico-chemical variables were measured and benthic macroinvertebrates were collected during three consecutive years at seven sites from the headwater to the river outlet. Sites near the source of the river were characterised by Plecoptera, Ephemeroptera, Trichoptera and Diptera, whereas sites close to the river mouth were dominated by Diptera, Oligochaeta and Mollusca. Regarding functional feeding groups, collector-gatherers were dominant at all sites and this pattern was consistent among years. Ordination Analysis (RDA revealed that species assemblages distribution responded to the climatic and topographic gradient (temperature and elevation, but also were associated with variables related to human impact (conductivity, nitrate and phosphate contents. Species assemblages at headwaters were mostly represented by sensitive insects, whereas tolerant taxa such as Tubificidae, Lumbriculidae, Chironomidae and crustacean Aegla sp. were dominant at urbanised sites. Regarding macroinvertebrate metrics employed, total richness, EPT taxa, Shannon diversity index and Biotic Monitoring Patagonian Stream index resulted fairly consistent and evidenced different levels of disturbances at the stream, meaning that this measures are suitable for evaluation of the status of Patagonian mountain streams.

  11. HOW A SUPPLY CHAIN PROCESS MATTERS IN FIRMS’ PERFORMANCE-AN EMPIRICAL EVIDENCE OF PAKISTAN

    Directory of Open Access Journals (Sweden)

    Muhammad Ziaullah

    2017-12-01

    Full Text Available In recent years, supply chain processes (i.e. demand management, customer relationship management, and new product development have gained a great importance from academicians and practitioners. Yet, research into the subject of supply chain processes’ effects on performance is nascent. The purpose of this study is to examine the process dimensions’ effects on supply chain (SC partners’ trust and firms’ performance as supply chain processes are essential for firms’ competitiveness. The research framework consists of seven hypotheses. An empirical study was conducted in Pakistan, and the data were collected from 164 supply chain firms. The reliability and validity of the model were examined through the exploratory factor analysis (EFA and Confirmatory factor analysis (CFA. The results delineate that supply chain processes have a significant relationship with SC partners’ trust and performance. Thus, all hypotheses were supported. This study presents interesting theoretical contributions and managerial implications. At last, limitations regarding future research directions are discussed.

  12. The Impact of Risks in Supply Chain on Organizational Performances: Evidence from Romania

    Directory of Open Access Journals (Sweden)

    Gyula Laszlo FLORIAN

    2014-12-01

    Full Text Available The proposed empirical research uses a national sample of 64 Romanian companies from various industries to document the relationship between organizational performances and risks in the context of Romanian supply chains. Empirical findings show that a supply chain risk management strategy successfully mitigates the negative consequences of risks. Our research underlines the changes necessary to maximize the benefits of supply chain integration. To extend the knowledge in this area our research is interdisciplinary, using a structural approach to model the determinants of organizational performances in supply chains and to measure the complex relationships among risks in supply chains and different facets of organizational performances in the context of Romanian supply chains.

  13. Testing a performance measurement framework for agri-food supply chains

    NARCIS (Netherlands)

    Aramyan, L.H.; Oude Lansink, A.G.J.M.; Kooten, van O.

    2005-01-01

    Measurement of entire supply chain performance is an important issue, because it allows for `tracking and tracing¿ of efficacy and efficiency failures and leads to more informed decisionmaking with regards to chain organization. The ultimate aim of implementing a performance measurement system is to

  14. Semantic metrics

    OpenAIRE

    Hu, Bo; Kalfoglou, Yannis; Dupplaw, David; Alani, Harith; Lewis, Paul; Shadbolt, Nigel

    2006-01-01

    In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can be boiled down to one fundamental operation: computing the similarity and/or dissimilarity among ontological entities, and in some cases among ontologies themselves. In this paper, we review standard metrics for computing distance measures and we propose a series of semantic metrics. We give a formal account of semantic metrics drawn from a...

  15. Contribution of components of Green Supply Chain Execution-Supply Loops in Green Supply Chain Performance measurement-A Pilot Empirical Study of the Indian Automobile Manufacturing Sector

    OpenAIRE

    Mohd. Asif Gandhi

    2017-01-01

    This paper is one of the several extensions of the research works done by [5]. Green Supply Chain Practices have been known to have an impact on Green Supply Chain Performance [5].This paper tests empirically through a pilot study of the Indian Automobile Manufacturing Sector, the contribution of the three variables constituting the construct Green Supply Chain Execution-Supply Loops in Green Supply Chain Performance measurement. Also the paper establishes the reliability of the questionnaire...

  16. BUSINESS PERFORMANCE OF IMPLEMENTING THE SUPPLY-SALES CHAIN

    Directory of Open Access Journals (Sweden)

    ROMANESCU MARCEL LAURENȚIU

    2012-12-01

    Full Text Available Among the factors that increase the degree of difficulty, there can be mentioned the technological, cultural and operational differences between organizations. In addition, the complexity increases for organizations operating in an international, regional or global market. The successful implementation of a supply - sales chain depends on the manner and degree to which logistical capacity, cost per customer, organizational structure, service delivery, cooperation between suppliers and international cooperation within each organization are taken into account.

  17. Logistics Performance of Actors in the Wine Supply Chain

    OpenAIRE

    Chandes , Jerôme; Estampe , Dominique

    2003-01-01

    International audience; In an environment marked by ever-greater international competition, wine sector companies have been seriously questioning the structure of their entire logistics chain. This is due to the emergence of new actors (i.e., large retailers); the diversification of service providers' product offers; and the different rapprochements between actors in this branch. These are all signals that have caused companies to question their logistics strategies as shown in the ISLI survey.

  18. MARKOV CHAIN MODELING OF PERFORMANCE DEGRADATION OF PHOTOVOLTAIC SYSTEM

    OpenAIRE

    E. Suresh Kumar; Asis Sarkar; Dhiren kumar Behera

    2012-01-01

    Modern probability theory studies chance processes for which theknowledge of previous outcomes influence predictions for future experiments. In principle, when a sequence of chance experiments, all of the past outcomes could influence the predictions for the next experiment. In Markov chain type of chance, the outcome of a given experiment can affect the outcome of the next experiment. The system state changes with time and the state X and time t are two random variables. Each of these variab...

  19. Change in intraindividual variability over time as a key metric for defining performance-based cognitive fatigability.

    Science.gov (United States)

    Wang, Chao; Ding, Mingzhou; Kluger, Benzi M

    2014-03-01

    Cognitive fatigability is conventionally quantified as the increase over time in either mean reaction time (RT) or error rate from two or more time periods during sustained performance of a prolonged cognitive task. There is evidence indicating that these mean performance measures may not sufficiently reflect the response characteristics of cognitive fatigue. We hypothesized that changes in intraindividual variability over time would be a more sensitive and ecologically meaningful metric for investigations of fatigability of cognitive performance. To test the hypothesis fifteen young adults were recruited. Trait fatigue perceptions in various domains were assessed with the Multidimensional Fatigue Index (MFI). Behavioral data were then recorded during performance of a three-hour continuous cued Stroop task. Results showed that intraindividual variability, as quantified by the coefficient of variation of RT, increased linearly over the course of three hours and demonstrated a significantly greater effect size than mean RT or accuracy. Change in intraindividual RT variability over time was significantly correlated with relevant subscores of the MFI including reduced activity, reduced motivation and mental fatigue. While change in mean RT over time was also correlated with reduced motivation and mental fatigue, these correlations were significantly smaller than those associated with intraindividual RT variability. RT distribution analysis using an ex-Gaussian model further revealed that change in intraindividual variability over time reflects an increase in the exponential component of variance and may reflect attentional lapses or other breakdowns in cognitive control. These results suggest that intraindividual variability and its change over time provide important metrics for measuring cognitive fatigability and may prove useful for inferring the underlying neuronal mechanisms of both perceptions of fatigue and objective changes in performance. Copyright © 2014

  20. Market structure and performance of value chain actors in hides and ...

    African Journals Online (AJOL)

    Market structure and performance of value chain actors in hides and skins processing and marketing in Nigeria. ... There was high performance in hides and skins processing and marketing in Nigeria. ... EMAIL FULL TEXT EMAIL FULL TEXT

  1. IMPACT OF INFORMATION TECHNOLOGY (IT TOOLS, PARTNER RELATIONSHIP AND SUPPLY CHAIN PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Ramayah T.

    2008-01-01

    Full Text Available This paper proposes a model that assesses the usage of information technology (IT tools, commitment of partner relationships, and supply chain performance in the Malaysian manufacturing industry. A total of 250 questionnaires were distributed to manufacturingcompanies located in Penang, which is in the northern region of Malaysia. Applying multiple regression analysis, the study indicated that a higher level of supply chain partner commitment leads to a higher level of supply chain reliability and flexibility. Trust among supply chain partners also contributes to improving supply chain flexibility. The study focused only on inter-organisational relationships. Future research should examine how both inter- and intra-organisational collaboration impact supply chain performance. Although researchers have recognised that IT is an enabler of supply chain management (SCM activities, there has been limited research that has directly associated the usage of IT and partner relationships to supply chain performance. This research is essential in order to ascertain the impact of IT usage and partnerrelationships on improving supply chain performance, particularly in the Malaysian manufacturing environment.

  2. Computing eye gaze metrics for the automatic assessment of radiographer performance during X-ray image interpretation.

    Science.gov (United States)

    McLaughlin, Laura; Bond, Raymond; Hughes, Ciara; McConnell, Jonathan; McFadden, Sonyia

    2017-09-01

    To investigate image interpretation performance by diagnostic radiography students, diagnostic radiographers and reporting radiographers by computing eye gaze metrics using eye tracking technology. Three groups of participants were studied during their interpretation of 8 digital radiographic images including the axial and appendicular skeleton, and chest (prevalence of normal images was 12.5%). A total of 464 image interpretations were collected. Participants consisted of 21 radiography students, 19 qualified radiographers and 18 qualified reporting radiographers who were further qualified to report on the musculoskeletal (MSK) system. Eye tracking data was collected using the Tobii X60 eye tracker and subsequently eye gaze metrics were computed. Voice recordings, confidence levels and diagnoses provided a clear demonstration of the image interpretation and the cognitive processes undertaken by each participant. A questionnaire afforded the participants an opportunity to offer information on their experience in image interpretation and their opinion on the eye tracking technology. Reporting radiographers demonstrated a 15% greater accuracy rate (p≤0.001), were more confident (p≤0.001) and took a mean of 2.4s longer to clinically decide on all features compared to students. Reporting radiographers also had a 15% greater accuracy rate (p≤0.001), were more confident (p≤0.001) and took longer to clinically decide on an image diagnosis (p=0.02) than radiographers. Reporting radiographers had a greater mean fixation duration (p=0.01), mean fixation count (p=0.04) and mean visit count (p=0.04) within the areas of pathology compared to students. Eye tracking patterns, presented within heat maps, were a good reflection of group expertise and search strategies. Eye gaze metrics such as time to first fixate, fixation count, fixation duration and visit count within the areas of pathology were indicative of the radiographer's competency. The accuracy and confidence of

  3. Business process performance measurement: a structured literature review of indicators, measures and metrics.

    Science.gov (United States)

    Van Looy, Amy; Shafagatova, Aygun

    2016-01-01

    Measuring the performance of business processes has become a central issue in both academia and business, since organizations are challenged to achieve effective and efficient results. Applying performance measurement models to this purpose ensures alignment with a business strategy, which implies that the choice of performance indicators is organization-dependent. Nonetheless, such measurement models generally suffer from a lack of guidance regarding the performance indicators that exist and how they can be concretized in practice. To fill this gap, we conducted a structured literature review to find patterns or trends in the research on business process performance measurement. The study also documents an extended list of 140 process-related performance indicators in a systematic manner by further categorizing them into 11 performance perspectives in order to gain a holistic view. Managers and scholars can consult the provided list to choose the indicators that are of interest to them, considering each perspective. The structured literature review concludes with avenues for further research.

  4. Application of Supply Chain Performance Measurement in Scor Model at Building Project

    OpenAIRE

    Wibowo, Mochamad Agung; Sholeh, Moh Nur

    2016-01-01

    The supply chain has become a priority subject of management research and manufacturing theory in recent years. It has also become an interesting topic in the construction industry. Construction supply chain management is more concerned with the coordination of discrete quantities of materials delivered to a specific construction project. Currently, in some building project, there has been no standard indicators in measuring the performance of the supply chain. Therefore, further research is ...

  5. Supply chain practices, performance and organizational configuration in the Mexican avocado industry

    OpenAIRE

    Arana Coronado, J.J.

    2010-01-01

    Recent changes in agrifood supply chains, such as the need for quality improvement and control, enhanced information exchange, and increased customer responsiveness, have made the introduction of Supply Chain Practices (SCPs) essential. Adopting practices such as product standardization, supplier partnerships and IT driven information exchange have resulted in higher supply chain efficiency and economic performance. Producers, traders and processors are able to obtain better control over prod...

  6. A Supply chain performance measurement system: A Case study in automotive industry

    OpenAIRE

    Çapar, İsmail; Capar, Ismail

    2002-01-01

    Today's fierce market conditions drive companies to effectively evaluate their overall supply chain performance and identify improvement areas for gaining competitive advantages. In the last few decades, organizations have improved their internal processes by using initatives such as JIT, Kanban, Kaizen, and TQM. At the same time new methods and initiatives in the area of Supply Chain Management have forced organizations to improve not only their internal processes but also the supply chain t...

  7. The relationship between supply chain management strategy, marketing, logistics and company performance for breweries in Serbia

    Directory of Open Access Journals (Sweden)

    Ilić Dragan

    2016-01-01

    Full Text Available The objective of this research is to demonstrate the importance of supply chain management strategy, logistics and marketing to overall company performance. We considered supply chain management strategy based on universality and integration, i.e., their company performance will be increased with implementing this strategy in breweries in Serbia. The strategy based on the universality and integration includes three parts: universality and integration with customers, suppliers, and in intra-organizational processes and activities. In this paper, logistics performance called fundamental item for evaluating supply chain management strategy performance. All managers in breweries in Serbia are considered as subjects of this study. A number of 110 managers are selected as sample through random sampling method. The present study carried out through the use of questionnaire and SPSS software, correlation statistics test and multiple regressions have also been used for the data analysis. The results of correlation test showed that supply chain management strategy has significant relationship with the logistics performance and company performance and has the highest relationship and correlation with the logistics performance. Due to the observance to the multiple regression results, we found that performance of the breweries feel the highest effect from marketing performance and marketing performance also feels the highest effect from the logistics performance and consequently, implementation of supply chain management strategy is obtained. So, it can be said that organizational performance is increased as a result of implementation of supply chain management strategy.

  8. Impact of Supply Chain Alignment on Construction Performance: A developed model for Vietnam

    Directory of Open Access Journals (Sweden)

    Huy Troung Quang

    2017-12-01

    Full Text Available There are many articles mentioning the advantages and benefits of supply chain alignment none, however, describe how to model such alignment in the supply chain. This paper offers a framework for examining and understanding the impact supply chain alignment has on performance. Based on supply chain mapping approach, a model describing alignment between processes/ flows in the supply chain network is developed. The model is then validated using a dataset of 316 enterprises operating in the Vietnam construction sector. Evidence indicates that the supply chain processes and flows were aligned. According to the results, the proposed supply chain alignment model is able to explain a 59.9% variance in operational performance, 58.9% in customer satisfaction, 34.5% in operating costs and 67.4% in business performance. To successfully align the supply chain network, companies can use the proposed model as a “road-map” to reduce high costs, to avoid the loss of control, management difficulties and/or vulnerability to opportunistic action, all of which may hinder efforts to align the supply chains.

  9. Analysis of Agility Performance of Supply Chain: A Case Study on Indian Automotive Manufacturer

    Science.gov (United States)

    Routroy, S.; Sharma, S.; Bhardwaj, A.

    2018-04-01

    Manufacturing companies should understand the changing customer needs and expectations, access and defend the competitive pressure, anticipate and manage the uncertain demand and supply chain risk, and implement the appropriate technology to survive and excel in today’s marketplace. Therefore, they are moving away from mass production (i.e. lean supply chain) to one based on fast-responsiveness and flexibility, capitalizing on the rapid advancement in internet technologies and factory-on-demand mode of production (i.e. agile supply chain). It is observed that manufacturing companies in India in general and automotive supply chain in specific are compelled to cultivate supply chain agility for enhancing its performance level on continuous basis and comparing its supply chain agility performance with competitors to survive and sustain in the competitive business environment. Therefore, a methodology is proposed to evaluate the supply chain agility of a manufacturing supply chain and compare its performance level with competitors using Fuzzy Analytic Hierarchy Process and Taguchi Loss Function. A case study is developed and the proposed methodology is applied to Indian automotive supply chain for explaining the salient features of it.

  10. Improving supply chain performance : real-time demand information and flexible deliveries

    NARCIS (Netherlands)

    Shang, K.H.; Zhou, S.X.; Houtum, van G.J.J.A.N.

    2010-01-01

    In some supply chains, materials are ordered periodically according to local information. This paper investigates how to improve the performance of such a supply chain. Specifically, we consider a serial inventory system in which each stage implements a local reorder interval policy; i.e., each

  11. Improving supply chain performance : real-time demand information and responsive deliveries

    NARCIS (Netherlands)

    Shang, K.H.; Zhou, S.Y.; Houtum, van G.J.J.A.N.

    2008-01-01

    In some supply chains, materials are ordered periodically according to local information. This paper investigates how to improve the performance of such a supply chain. Specifically, we consider a serial inventory system in which each stage implements a local reorder interval policy, i.e., each

  12. Does ICT influence supply chain management and performance? A review of survey-based research

    NARCIS (Netherlands)

    Zhang, Xuan; van Donk, Dirk Pieter; van der Vaart, Taco

    2011-01-01

    Purpose - The purpose of this paper is to review and classify survey-based research connecting information and communication technology (ICT), supply chain management (SCM), and supply chain (SC) performance. The review evaluates present empirical results and aims at detecting explanations for

  13. The Role of Collaborative Advantage for Analyzing the Effect of Supply Chain Collaboration on Firm Performance

    Directory of Open Access Journals (Sweden)

    Huriye Yılmaz

    2017-06-01

    Full Text Available Collaboration plays a critical role in a globalized, rapidly changing and competitive world, as the resources of an individual company are limited to compete with the challenges of the era. Supply chain collaboration is defined as a partnership process where two or more autonomous firms work closely to plan and execute supply chain operations towards common goals and mutual benefits. Supply chain collaboration results in collaborative advantage, the strategic benefits gained over competitors through supply chain partnering, and these both increase firm performance of the partners. In this research, the effect of supply chain collaboration on firm performance has been investigated by distributing a survey to Turkish companies which have been responded by 150. The role of collaborative advantage in this relation has also been measured. The results of the research suggest that there is a positive correlation between supply chain collaboration and collaborative advantage. The results also prove that supply chain collaboration positively affects firm performance. It is also proven that the mediator role of collaborative advantage on the effect of supply chain collaboration on firm performance is statistically significant.

  14. Sibling rivalry vs. cousin solidarity : How ownership influences performance in franchise chains

    NARCIS (Netherlands)

    Mulotte, Louis; Parmigiani, A.

    This study applies agglomeration theory to multiunit chains that co- locate corporate and franchised units. We analyze how the performance of a corporate unit is influenced by co-located same-chain units, distinguishing the effects by ownership structure. We argue that corporate ownership and

  15. Supply Chain Information Systems and Organisational Performance in Economic Turbulent Times

    OpenAIRE

    Argyropoulou, Maria; Reid, Iain; Michaelides, Roula; Ioannou, George

    2015-01-01

    Supply Chain Information Systems and their impact on organisational performance has been studied by a number of studies. This study seeks to extend this body of knowledge by adopting a fresh lens to explore empirically the relationship between organizational performance and SCIS in circumstances of economic downturn and financial turbulence. The statistical relationship between Supply Chain Information Systems (SCIS) ˜Effectiveness and ˜Organisational Performance is tested and measured by m...

  16. Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar

    Directory of Open Access Journals (Sweden)

    Juan Carlos Fernandez-Diaz

    2016-11-01

    Full Text Available In this paper we present a description of a new multispectral airborne mapping light detection and ranging (lidar along with performance results obtained from two years of data collection and test campaigns. The Titan multiwave lidar is manufactured by Teledyne Optech Inc. (Toronto, ON, Canada and emits laser pulses in the 1550, 1064 and 532 nm wavelengths simultaneously through a single oscillating mirror scanner at pulse repetition frequencies (PRF that range from 50 to 300 kHz per wavelength (max combined PRF of 900 kHz. The Titan system can perform simultaneous mapping in terrestrial and very shallow water environments and its multispectral capability enables new applications, such as the production of false color active imagery derived from the lidar return intensities and the automated classification of target and land covers. Field tests and mapping projects performed over the past two years demonstrate capabilities to classify five land covers in urban environments with an accuracy of 90%, map bathymetry under more than 15 m of water, and map thick vegetation canopies at sub-meter vertical resolutions. In addition to its multispectral and performance characteristics, the Titan system is designed with several redundancies and diversity schemes that have proven to be beneficial for both operations and the improvement of data quality.

  17. The Relation of Student Engagement and Other Admission Metrics to Master of Accounting Student Performance

    Science.gov (United States)

    Buckless, Frank; Krawczyk, Kathy

    2016-01-01

    This paper examines whether the use of student engagement (SE) information as part of the admissions process can help us to predict student academic success in Master of Accounting (MAC) programs. The association of SE, undergraduate grade point average (UGPA), and Graduate Management Admissions Test (GMAT) score to academic performance was tested…

  18. Supply chain performance attributes for the fast moving consumer goods industry

    Directory of Open Access Journals (Sweden)

    Madhu Bala

    2011-11-01

    Full Text Available This research paper identifies the supply chain performance attributes that are relevant to the Fast Moving Consumer Goods (FMCG industry. The FMCG supply chains are analysed from the perspective of processes, components and typology. The typical issues faced by the FMCG supply chains are also explored. Three supply chain operational models are compared and identify SCOR as the one best suited for the FMCG industry. The survey, conducted with the respondents from four research cases across two product categories, demonstrates the acceptance and the usage of the performance attributes for the FMCG supply chains. The results also include the analysis of the typology of the research cases across two product categories.

  19. Mass Customization Measurements Metrics

    DEFF Research Database (Denmark)

    Nielsen, Kjeld; Brunø, Thomas Ditlev; Jørgensen, Kaj Asbjørn

    2014-01-01

    A recent survey has indicated that 17 % of companies have ceased mass customizing less than 1 year after initiating the effort. This paper presents measurement for a company’s mass customization performance, utilizing metrics within the three fundamental capabilities: robust process design, choice...... navigation, and solution space development. A mass customizer when assessing performance with these metrics can identify within which areas improvement would increase competitiveness the most and enable more efficient transition to mass customization....

  20. Business Metrics for High-Performance Homes: A Colorado Springs Case Study

    Energy Technology Data Exchange (ETDEWEB)

    Beach, R. [IBACOS, Inc, Pittsburgh, PA (United States); Jones, A. [IBACOS, Inc, Pittsburgh, PA (United States)

    2016-04-26

    This report explores the correlation between energy efficiency and the business success of home builders by examining a data set of builders and homes in the Colorado Springs, Colorado, market between 2006 and 2014. During this time, the Great Recession of 2007 to 2009 occurred, and new-home sales plummeted both nationally and in Colorado Springs. What is evident from an analysis of builders and homes in Colorado Springs is that builders who had Home Energy Rating System (HERS) ratings performed on some or all of their homes during the Recession remained in business during this challenging economic period. Many builders who did not have HERS ratings performed on their homes at that time went out of business or left the area. From the analysis presented in this report, it is evident that a correlation exists between energy efficiency and the business success of home builders, although the reasons for this correlation remain largely anecdotal and not yet clearly understood.

  1. An Analysis of Operating Room Performance Metrics at Reynolds Army Community Hospital

    Science.gov (United States)

    2009-06-28

    Orthopedic Care NEC Physical Therapy Clinic Occupation Therapy Clinic Hypertension Clinic Physical Medicine Clinic Medical Clinics Cost Pool Medical...high ICU and ward occupancy rates are limited in the number of inpatient surgeries they can perform. On the other hand, hospitals with inefficient... Rheumatology , 9(5), 325 - 327. Mazzei, W.J. (1999). Maximizing operating room utilization: A landmark study. Anesthesia & Analgesia, 89(1), 1 -2. MEPRS

  2. Metric Indices for Performance Evaluation of a Mixed Measurement based State Estimator

    Directory of Open Access Journals (Sweden)

    Paula Sofia Vide

    2013-01-01

    Full Text Available With the development of synchronized phasor measurement technology in recent years, it gains great interest the use of PMU measurements to improve state estimation performances due to their synchronized characteristics and high data transmission speed. The ability of the Phasor Measurement Units (PMU to directly measure the system state is a key over SCADA measurement system. PMU measurements are superior to the conventional SCADA measurements in terms of resolution and accuracy. Since the majority of measurements in existing estimators are from conventional SCADA measurement system, it is hard to be fully replaced by PMUs in the near future so state estimators including both phasor and conventional SCADA measurements are being considered. In this paper, a mixed measurement (SCADA and PMU measurements state estimator is proposed. Several useful measures for evaluating various aspects of the performance of the mixed measurement state estimator are proposed and explained. State Estimator validity, performance and characteristics of the results on IEEE 14 bus test system and IEEE 30 bus test system are presented.

  3. Data-driven HR how to use analytics and metrics to drive performance

    CERN Document Server

    Marr, Bernard

    2018-01-01

    Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-driven HR is a practical guide which enables HR practitioners to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, how to collect information in a transparent way that is in line with data protection requirements and how to turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR profession...

  4. Key Performance Indicators in Irish Hospital Libraries: Developing Outcome-Based Metrics

    Directory of Open Access Journals (Sweden)

    Michelle Dalton

    2012-12-01

    Full Text Available Objective – To develop a set of generic outcome-based performance measures for Irishhospital libraries.Methods – Various models and frameworks of performance measurement were used as atheoretical paradigm to link the impact of library services directly with measurablehealthcare objectives and outcomes. Strategic objectives were identified, mapped toperformance indicators, and finally translated into response choices to a single-questiononline survey for distribution via email.Results – The set of performance indicators represents an impact assessment tool whichis easy to administer across a variety of healthcare settings. In using a model directlyaligned with the mission and goals of the organization, and linked to core activities andoperations in an accountable way, the indicators can also be used as a channel throughwhich to implement action, change, and improvement.Conclusion – The indicators can be adopted at a local and potentially a national level, asboth a tool for advocacy and to assess and improve service delivery at a macro level. Toovercome the constraints posed by necessary simplifications, substantial further research is needed by hospital libraries to develop more sophisticated and meaningful measures of impact to further aid decision making at a micro level.

  5. The Relationship Between Key Supply Chain Management Process Implementation, Competitive Advantage and Organizational Performance

    Science.gov (United States)

    2012-03-01

    with inputs from 3M; CEMEX; The Coca - Cola Company; CSX Corporation; Fletcher-Challenge; Goodyear Tire and Rubber Company; Hewlett-Packard Company...customer’s expectations. Ultimately, CSM process metrics should reflect the impact of CSM on the organization’s efficiency and financial performance...order fulfillment solutions, the associated benefits to the customer, and the impact on the financial performance of the firm, its customers and

  6. Assessing "First Mile" Supply Chain Factors Affecting Timeliness of School-Based Deworming Interventions: Supply and Logistics Performance Indicators.

    Science.gov (United States)

    Koporc, Kimberly M; Strunz, Eric; Holloway, Cassandra; Addiss, David G; Lin, William

    2015-12-01

    Between 2007 and 2012, Children Without Worms (CWW) oversaw the Johnson & Johnson (J&J) donation of Vermox (mebendazole) for treatment of school-age children to control soil-transmitted helminthiasis (STH). To identify factors associated with on-time, delayed, or missed mass drug administration (MDA) interventions, and explore possible indicators for supply chain performance for drug donation programs, we reviewed program data for the 14 STH-endemic countries CWW supported during 2007-2012. Data from drug applications, shipping records, and annual treatment reports were tracked using Microsoft Excel. Qualitative data from interviews with key personnel were used to provide additional context on the causes of delayed or missed MDAs. Four possible contributory factors to delayed or missed MDAs were considered: production, shipping, customs clearance, and miscellaneous in-country issues. Coverage rates were calculated by dividing the number of treatments administered by the number of children targeted during the MDA. Of the approved requests for 78 MDAs, 54 MDAs (69%) were successfully implemented during or before the scheduled month. Ten MDAs (13%) were classified as delayed; seven of these were delayed by one month or less. An additional 14 MDAs (18%) were classified as missed. For the 64 on-time or delayed MDAs, the mean coverage was approximately 88%. To continue to assess the supply chain processes and identify areas for improvement, we identified four indicators or metrics for supply chain performance that can be applied across all neglected tropical disease (NTD) drug donation programs: (1) donor having available inventory to satisfy the country request for donation; (2) donor shipping the approved number of doses; (3) shipment arriving at the Central Medical Stores one month in advance of the scheduled MDA date; and (4) country programs implementing the MDA as scheduled.

  7. Towards a Tool for Assessing Supply-Chain Information Performance During Implementation of New Information Technologies

    NARCIS (Netherlands)

    Denolf, J.M.; Wognum, P.M.; Trienekens, J.H.; Vorst, van der J.G.A.J.; Omta, S.W.F.

    2012-01-01

    Based on improved information performance, agro-food companies and supply chains want to enhance their production processes. It creates the necessity to implement additional information technologies. The implementation of information technologies is, however, a complex task because of the

  8. Supply chain performance measurement: the case of the traditional food sector in the EU

    NARCIS (Netherlands)

    Gellynck, X.; Molnar, A.; Aramyan, L.H.

    2008-01-01

    The objective of this study is to develop a sound measurement instrument of traditional food supply chain performance integrating the perspectives of different stakeholders. Therefore first, stakeholders’ goals are generalized via focus groups and individual interviews. Second, stakeholders’ goals

  9. EFFICIENCY OF RAW MATERIAL INVENTORIES IN IMPROVING SUPPLY CHAIN PERFORMANCE of CV. FIVA FOOD

    Directory of Open Access Journals (Sweden)

    Artadi Nugraha

    2016-01-01

    Full Text Available The production and number of processed food industries have slightly increased; as a result, the companies must compete to maximize their profits by conducting their efficient production process. CV. Fiva Food is one of the companies in the field of processed foods, especially in processed meat that has implemented supply chain management. It is necessary for the company to take measurements of its performance and efficiency for the entire supply chain such as procurement of raw materials. The purposes of this study were to analyze the performance of the company's supply chain and determine the most efficient  method of procurement for its raw materials as well as and to provide recommendations for the company to improve its performance of entire supply chain. This study used SCOR in analyzing the performance of supply chain and EOQ and POQ method to be compared with the method that the company uses to determine which method of procurement for raw materials is the most efficient one. The result showed that based on the matrix, the company's performance is unfavorable when it was compared to the benchmark performance of inventory days of supply. In addition, this study showed that the POQ method produces the lowest total inventory cost with savings of Rp6.647.015 for raw materials of MDM whereas EOQ method produced the lowest total inventory cost with savings of Rp222.153,78 for raw materials of FQ85CL. Keywords: performance suppy chain, SCOR, fiva food, EOQ, POQ

  10. The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics.

    Science.gov (United States)

    Gellert, George A; Catzoela, Linda; Patel, Lajja; Bruner, Kylynn; Friedman, Felix; Ramirez, Ricardo; Saucedo, Lilliana; Webster, S Luke; Gillean, John A

    2017-01-01

    One strategy to foster adoption of computerized provider order entry (CPOE) by physicians is the monthly distribution of a list identifying the number and use rate percentage of orders entered electronically versus on paper by each physician in the facility. Physicians care about CPOE use rate reports because they support the patient safety and quality improvement objectives of CPOE implementation. Certain physician groups are also motivated because they participate in contracted financial and performance arrangements that include incentive payments or financial penalties for meeting (or failing to meet) a specified CPOE use rate target. Misattribution of order sources can hinder accurate measurement of individual physician CPOE use and can thereby undermine providers' confidence in their reported performance, as well as their motivation to utilize CPOE. Misattribution of order sources also has significant patient safety, quality, and medicolegal implications. This analysis sought to evaluate the magnitude and sources of misattribution among hospitalists with high CPOE use and, if misattribution was found, to formulate strategies to prevent and reduce its recurrence, thereby ensuring the integrity and credibility of individual and facility CPOE use rate reporting. A detailed manual order source review and validation of all orders issued by one hospitalist group at a midsize community hospital was conducted for a one-month study period. We found that a small but not dismissible percentage of orders issued by hospitalists-up to 4.18 percent (95 percent confidence interval, 3.84-4.56 percent) per month-were attributed inaccurately. Sources of misattribution by department or function were as follows: nursing, 42 percent; pharmacy, 38 percent; laboratory, 15 percent; unit clerk, 3 percent; and radiology, 2 percent. Order management and protocol were the most common correct order sources that were incorrectly attributed. Order source misattribution can negatively affect

  11. Outage performance of two-way DF relaying systems with a new relay selection metric

    KAUST Repository

    Hyadi, Amal

    2012-04-01

    This paper investigates a new constrained relay selection scheme for two-way relaying systems where two end terminals communicate simultaneously via a relay. The introduced technique is based on the maximization of the weighted sum rate of both users. To evaluate the performance of the proposed system, the outage probability is derived in a general case (where an arbitrary channel is considered), and then over independently but not necessarily identically distributed (i.n.i.d.) Rayleigh fading channels. The analytical results are verified through simulations. © 2012 IEEE.

  12. Predictive analytics tools to adjust and monitor performance metrics for the ATLAS Production System

    CERN Document Server

    Barreiro Megino, Fernando Harald; The ATLAS collaboration

    2017-01-01

    Having information such as an estimation of the processing time or possibility of system outage (abnormal behaviour) helps to assist to monitor system performance and to predict its next state. The current cyber-infrastructure presents computing conditions in which contention for resources among high-priority data analysis happens routinely, that might lead to significant workload and data handling interruptions. The lack of the possibility to monitor and to predict the behaviour of the analysis process (its duration) and system’s state itself caused to focus on design of the built-in situational awareness analytic tools.

  13. The Analysis of Vertical Transaction Behavior and Performance Based on Automobile Brand Trust in Supply Chain

    Directory of Open Access Journals (Sweden)

    Guanglan Zhou

    2016-01-01

    Full Text Available The nontrust behaviors among the automobile supply chain members lead to a trust crisis situation. Under such circumstances, this paper studies the mutual influences of trust, enterprise behavior, and transaction performance on the independent brand automobile supply chain. The business behavior concept which consists of information sharing, joint action, and specific asset investment is proposed. Then, the paper tests the reliability and validity of the collected data through Structural Equation Modeling (SEM. Through empirical test and analysis on mutual relationship among vertical transaction enterprise behaviors, trust, and transaction performance, the vertical transaction enterprise behaviors can be regulated, so as to improve the efficiency of independent brand automobile supply chain.

  14. Supply chain management problems in the food processing industry: Implications for business performance

    Directory of Open Access Journals (Sweden)

    Catherine A. Nguegan Nguegan

    2017-11-01

    Contribution or value-add: Practically, the study enables supply chain professionals in the food processing industry to understand the sources of problems and use this information to develop solutions for the improvement of business performance. Theoretically, the study endorses the view that part of the key to resolving business performance complications in the food processing industry involves streamlining supply chain management by resolving its identifiable problems.

  15. Procurement risk management practices and supply chain performance among mobile phone service providers in Kenya

    OpenAIRE

    Emily Adhiambo Okonjo; Peterson Obara Magutu; Richard Bitange Nyaoga

    2016-01-01

    The aim of this study was to establish the relationship between procurement risk management practices and supply chain performance among mobile phone service providers in Kenya. The study specifically set out to establish the extent to which mobile phone service providers have implemented procurement risk management practices and to determine the relationship between procurement risk management practices and supply chain performance. The study adopted a descriptive study design by collecting ...

  16. The relationship between supply chain management strategy, marketing, logistics and company performance for breweries in Serbia

    OpenAIRE

    Ilić Dragan; Tešić Aleksandra

    2016-01-01

    The objective of this research is to demonstrate the importance of supply chain management strategy, logistics and marketing to overall company performance. We considered supply chain management strategy based on universality and integration, i.e., their company performance will be increased with implementing this strategy in breweries in Serbia. The strategy based on the universality and integration includes three parts: universality and integration with customers, suppliers, and in intra-or...

  17. Effect of side chain position on solar cell performance in cyclopentadithiophene-based copolymers

    International Nuclear Information System (INIS)

    Lee, Sang Kyu; Seo, Jung Hwa; Cho, Nam Sung; Cho, Shinuk

    2012-01-01

    The photovoltaic properties of a series of low band-gap conjugated copolymers, in which alkyl side chains were substituted at various positions, were investigated using donor–acceptor (D–A) conjugated copolymers consisting of a cyclopentadithiophene derivative and dithienyl-benzothiadiazole. The base polymer, which has no alkyl side chains, yielded promising power conversion efficiency of 3.8%. Polymers with alkyl side chains, however, exhibited significantly decreased performance. In addition, the effects of processing additive became negligible. The results indicate that substituted side chains, which were introduced to improve solubility, critically affected the optical and electronic properties of D–A conjugated copolymers. Furthermore, the position of the side chain was also very important for controlling the morphological properties of the D–A conjugated copolymers. - Highlights: ► Effect of side chain position on solar cell performance was investigated. ► Polymer without alkyl chains yielded promising power conversion efficiency of 3.8%. ► Position of side chains critically affected the optical and electronic properties.

  18. The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics

    Science.gov (United States)

    Gellert, George A.; Catzoela, Linda; Patel, Lajja; Bruner, Kylynn; Friedman, Felix; Ramirez, Ricardo; Saucedo, Lilliana; Webster, S. Luke; Gillean, John A.

    2017-01-01

    Background One strategy to foster adoption of computerized provider order entry (CPOE) by physicians is the monthly distribution of a list identifying the number and use rate percentage of orders entered electronically versus on paper by each physician in the facility. Physicians care about CPOE use rate reports because they support the patient safety and quality improvement objectives of CPOE implementation. Certain physician groups are also motivated because they participate in contracted financial and performance arrangements that include incentive payments or financial penalties for meeting (or failing to meet) a specified CPOE use rate target. Misattribution of order sources can hinder accurate measurement of individual physician CPOE use and can thereby undermine providers’ confidence in their reported performance, as well as their motivation to utilize CPOE. Misattribution of order sources also has significant patient safety, quality, and medicolegal implications. Objective This analysis sought to evaluate the magnitude and sources of misattribution among hospitalists with high CPOE use and, if misattribution was found, to formulate strategies to prevent and reduce its recurrence, thereby ensuring the integrity and credibility of individual and facility CPOE use rate reporting. Methods A detailed manual order source review and validation of all orders issued by one hospitalist group at a midsize community hospital was conducted for a one-month study period. Results We found that a small but not dismissible percentage of orders issued by hospitalists—up to 4.18 percent (95 percent confidence interval, 3.84–4.56 percent) per month—were attributed inaccurately. Sources of misattribution by department or function were as follows: nursing, 42 percent; pharmacy, 38 percent; laboratory, 15 percent; unit clerk, 3 percent; and radiology, 2 percent. Order management and protocol were the most common correct order sources that were incorrectly attributed

  19. Business Metrics for High-Performance Homes: A Colorado Springs Case Study

    Energy Technology Data Exchange (ETDEWEB)

    Beach, R. [IBACOS, Inc., Pittsburgh, PA (United States); Jones, A. [IBACOS, Inc., Pittsburgh, PA (United States)

    2016-04-26

    The building industry needs to understand how energy ratings can impact homebuilders. Of interest is how energy efficiency may or may not have a positive impact on homebuilders’ business success. Focusing on Colorado Springs, Colorado, as a case study, the U.S. Department of Energy’s Building America research team IBACOS suggests a win–win between a builder’s investment in energy efficiency and that builder’s ability to sell homes. Although this research did not ultimately determine why a correlation may exist, a builder’s investment in voluntary energy-efficiency programs correlated with that builder’s ability to survive the Great Recession of 2007 to 2009. This report explores the relationship between energy-efficiency ratings and the market performance of several builders in Colorado Springs.

  20. Predictive analytics tools to adjust and monitor performance metrics for the ATLAS Production System

    CERN Document Server

    Titov, Mikhail; The ATLAS collaboration

    2017-01-01

    Every scientific workflow involves an organizational part which purpose is to plan an analysis process thoroughly according to defined schedule, thus to keep work progress efficient. Having such information as an estimation of the processing time or possibility of system outage (abnormal behaviour) will improve the planning process, provide an assistance to monitor system performance and predict its next state. The ATLAS Production System is an automated scheduling system that is responsible for central production of Monte-Carlo data, highly specialized production for physics groups, as well as data pre-processing and analysis using such facilities as grid infrastructures, clouds and supercomputers. With its next generation (ProdSys2) the processing rate is around 2M tasks per year that is more than 365M jobs per year. ProdSys2 evolves to accommodate a growing number of users and new requirements from the ATLAS Collaboration, physics groups and individual users. ATLAS Distributed Computing in its current stat...

  1. Effectiveness of corporate governance structure: An alternative metric on the performance of listed Chinese companies

    Directory of Open Access Journals (Sweden)

    Yuan George Shan

    2008-11-01

    Full Text Available We analyse a panel data set covering the years 2001 to 2005 and comprised of a stratified sample of A, AB and AH non financial companies listed on China’s Shanghai and Shenzhen stock exchanges to provide empirical evidence on the influence of corporate control and governance characteristics on the quality and independence of corporate decision making in these companies. The characteristics considered are the level of concentration in and type of ownership of the companies, particularly high levels of government and foreign ownership, and the composition (expertise and size of the companies’ two boards. Performance outcomes, and by association the quality and independence of corporate policy decisions, are measured in the form of firm bad debt to accounts receivable ratio (BD/AR. We find that for our sample firms’ concentration of ownership, including state and foreign ownership, and board size and independence are significant factors in determining the levels of the bad debt ratio.

  2. Impact of thermoelectric phenomena on phase-change memory performance metrics and scaling

    International Nuclear Information System (INIS)

    Lee, Jaeho; Asheghi, Mehdi; Goodson, Kenneth E

    2012-01-01

    The coupled transport of heat and electrical current, or thermoelectric phenomena, can strongly influence the temperature distribution and figures of merit for phase-change memory (PCM). This paper simulates PCM devices with careful attention to thermoelectric transport and the resulting impact on programming current during the reset operation. The electrothermal simulations consider Thomson heating within the phase-change material and Peltier heating at the electrode interface. Using representative values for the Thomson and Seebeck coefficients extracted from our past measurements of these properties, we predict a cell temperature increase of 44% and a decrease in the programming current of 16%. Scaling arguments indicate that the impact of thermoelectric phenomena becomes greater with smaller dimensions due to enhanced thermal confinement. This work estimates the scaling of this reduction in programming current as electrode contact areas are reduced down to 10 nm × 10 nm. Precise understanding of thermoelectric phenomena and their impact on device performance is a critical part of PCM design strategies. (paper)

  3. Prioritising indicators in improving supply chain performance using fuzzy AHP

    DEFF Research Database (Denmark)

    Govindan, Kannan; Mangla, Sachin Kumar; Luthra, Sunil

    2017-01-01

    In this contribution, we aim to prioritise the indicators to enhance the organisational supply chain’s (SC) effectiveness from an industrial perspective. It will help industries to develop strategies for managing the SC effectively and ensuring improvement in performance continuously. To achieve...... this, this work proposes to use a two-phase research methodology. First, 36 SC performance improvement indicators are recognised from a literature survey and from field and industrial expert’s inputs. Secondly, a structural model is proposed using the fuzzy analytical hierarchy process (AHP...

  4. The Impact of Knowledge Management Capability, Organizational Learning, and Supply Chain Management Practices on Organizational Performance

    Directory of Open Access Journals (Sweden)

    Ingy Essam Eldin Salama

    2017-03-01

    Full Text Available The focus of this research is developing and examining a conceptual framework relating resource-based organizational capabilities and inter-organizational practices with organizational performance. Specifically, it investigates the relationship between knowledge management capability, organizational learning, supply chain management practices and organizational performance. Such a study is important as it contributes to the growing body of literature that links organizational capabilities and practices with organizational performance. In addition, it also contributes to empirical knowledge by applying the proposed conceptual framework in the Egyptian context, which is currently under-researched. The research approach adopted in this research includes empirical examination of the hypothesized relationships among research variables applied on 63 factories with more than 100 employees located at New Borg Al-Arab industrial city using self-administrated questionnaires. The findings of this research provide evidence that knowledge management capability has an impact on organizational learning as well as on supply chain management practices. However, none of the research variables; i.e. knowledge management capability, organizational learning and supply chain management practices have an impact on organizational performance. The main conclusion drawn from this study is that knowledge management capability may be useful to managers for predicting organizational learning and coordinating supply chain management practices between supply chain members. In addition, it could be concluded that organizational performance, in the factories under study, is affected by variables other than knowledge management capability, organizational learning and supply chain management practices.

  5. Trading Relationship Performance and Market Power in Food Supply Chains

    DEFF Research Database (Denmark)

    Xhoxhi, Orjon

    The development of the agri-food industry has led to a considerable increase of intermediaries’ market power vis-à-vis farmers. There are studies and evidence that suggests that due to their power, intermediaries transfer risks and unexpected costs to farmers which compromise the innovation...... and livelihood. The overall objective of this PhD study was to investigate the intermediaries’ power over farmers and its effects on trading relationship performance between them. Two farms survey were conducted, the first one was carried out in the Adana region in Turkey and had an explorative focus aiming......), investigate how intermediaries’ power affects farmers-intermediaries trading relationship performance (paper 3) and analyse the determinants of contract farming and its effects on post-harvest losses (paper 4). The first paper investigates the determinants of intermediaries’ power over farmers’ margin related...

  6. Performance appraisal for green/environmental friendliness of a supply chain department

    OpenAIRE

    Odeyale, Solomon Olasunkanmi

    2014-01-01

    Purpose: This paper aims at proposing a method for evaluating the environmental friendliness of a supply chain department in any organization. Supply chain involves activities that could affect the natural environment and if these activities are not properly evaluated and monitored, it could affect the natural environment and also generate ecological performance change. Design/methodology/approach: The model for the appraisal consists of 5 criteria and 30 subcriteria. The method is applied at...

  7. Process Modeling, Performance Analysis and Configuration Simulation in Integrated Supply Chain Network Design

    OpenAIRE

    Dong, Ming

    2001-01-01

    Supply chain management has been recently introduced to address the integration of organizational functions ranging from the ordering and receipt of raw materials throughout the manufacturing processes, to the distribution and delivery of products to the customer. Its application demonstrates that this idea enables organizations to achieve higher quality products, better customer service, and lower inventory cost. In order to achieve high performance, supply chain functions must operate ...

  8. A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

    Science.gov (United States)

    Chandra, Dheeraj; Kumar, Dinesh

    2018-03-01

    In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous issues in the vaccine supply chain, which are the primary cause of its poor performance. Figuring out the cause of the performance problem can help you decide how to address it. The goal of the present study is to identify and analyze important issues in the supply chain of basic vaccines required for child immunization in the developing countries. Twenty-five key issues as various factors of the vaccine supply chain have been presented in this paper. Fuzzy MICMAC analysis has been carried out to classify the factors based on their driving and dependence power and to develop a hierarchy based model. Further, the findings have been discussed with the field experts to identify the critical factors. Three factors: better demand forecast, communication between the supply chain members, and proper planning and scheduling have been identified as the critical factors of vaccine supply chain. These factors should be given special care to improve vaccine supply chain performance.

  9. The synergistic and complementary effects of supply chain justice and integration practices on supply chain performance: A conceptual framework and research propositions

    Directory of Open Access Journals (Sweden)

    Muhammad Ziaullah

    2015-11-01

    Full Text Available In recent years, firms have been using their supply chain integration (SCI as a competitive weapon in the intensive, globalised competitive arena. The contingent perspective in supply chain management maintains that it is necessary to observe the interaction between SCI practices and supply chain justice. A critical issue to be resolved is whether this fit leads to synergistic and complementary effects on supply chain performance. In order to contribute to this research problem, we analysed supply chain justice instances in order to determine the importance of supply chain justice, as well as highlights complementary role in SCI and its influences on supply chain performance. A conceptual framework has been developed and five propositions established to verify the contents of a theoretical study. Accordingly, balancing the adoption of SCI practices and supply chain justice will lead to the generation of greater benefits relative to the effect of both independent driving forces on supply chain performance. Furthermore, the proposed framework has been analysed in order to examine its applicability in the South African context. The study thereby suggests the empirical research guidelines and the paper concludes with a discussion of future research.

  10. Performance Metrics as Formal Structures and through the Lens of Social Mechanisms: When Do They Work and How Do They Influence?

    Science.gov (United States)

    Colyvas, Jeannette A.

    2012-01-01

    Our current educational environment is subject to persistent calls for accountability, evidence-based practice, and data use for improvement, which largely take the form of performance metrics (PMs). This rapid proliferation of PMs has profoundly influenced the ways in which scholars and practitioners think about their own practices and the larger…

  11. Validation of the updated ArthroS simulator: face and construct validity of a passive haptic virtual reality simulator with novel performance metrics.

    Science.gov (United States)

    Garfjeld Roberts, Patrick; Guyver, Paul; Baldwin, Mathew; Akhtar, Kash; Alvand, Abtin; Price, Andrew J; Rees, Jonathan L

    2017-02-01

    To assess the construct and face validity of ArthroS, a passive haptic VR simulator. A secondary aim was to evaluate the novel performance metrics produced by this simulator. Two groups of 30 participants, each divided into novice, intermediate or expert based on arthroscopic experience, completed three separate tasks on either the knee or shoulder module of the simulator. Performance was recorded using 12 automatically generated performance metrics and video footage of the arthroscopic procedures. The videos were blindly assessed using a validated global rating scale (GRS). Participants completed a survey about the simulator's realism and training utility. This new simulator demonstrated construct validity of its tasks when evaluated against a GRS (p ≤ 0.003 in all cases). Regarding it's automatically generated performance metrics, established outputs such as time taken (p ≤ 0.001) and instrument path length (p ≤ 0.007) also demonstrated good construct validity. However, two-thirds of the proposed 'novel metrics' the simulator reports could not distinguish participants based on arthroscopic experience. Face validity assessment rated the simulator as a realistic and useful tool for trainees, but the passive haptic feedback (a key feature of this simulator) is rated as less realistic. The ArthroS simulator has good task construct validity based on established objective outputs, but some of the novel performance metrics could not distinguish between surgical experience. The passive haptic feedback of the simulator also needs improvement. If simulators could offer automated and validated performance feedback, this would facilitate improvements in the delivery of training by allowing trainees to practise and self-assess.

  12. Hospital employment of physicians and supply chain performance: An empirical investigation.

    Science.gov (United States)

    Young, Gary J; Nyaga, Gilbert N; Zepeda, E David

    2016-01-01

    As hospital employment of physicians becomes increasingly common in the United States, much speculation exists as to whether this type of arrangement will promote hospital operating efficiency in such areas as supply chain management. Little empirical research has been conducted to address this question. The aim of this study was to provide an exploratory assessment of whether hospital employment of physicians is associated with better supply chain performance. Drawing from both agency and stewardship theories, we examined whether hospitals with a higher proportion of employed medical staff members have relatively better supply chain performance based on two performance measures, supply chain expenses and inventory costs. We conducted the study using a pooled, cross-sectional sample of hospitals located in California between 2007 and 2009. Key data sources were hospital annual financial reports from California's Office of Statewide Health Policy and Development and the American Hospital Association annual survey of hospitals. To examine the relationship between physician employment and supply chain performance, we specified physician employment as the proportion of total employed medical staff members as well as the proportion of employed medical staff members within key physician subgroups. We analyzed the data using generalized estimating equations. Study results generally supported our hypothesis that hospital employment of physicians is associated with better supply chain performance. Although the results of our study should be viewed as preliminary, the trend in the United States toward hospital employment of physicians may be a positive development for improved hospital operating efficiency. Hospital managers should also be attentive to training and educational resources that medical staff members may need to strengthen their role in supply chain activities.

  13. Balanced framework for measuring performance of supply chains in house building

    NARCIS (Netherlands)

    Halman, Johannes I.M.; Voordijk, Johannes T.

    2012-01-01

    Despite its importance, performance measurement of supply chains of house building firms has not received much attention yet in academic literature. The objective of this study is to develop a framework to measure this performance. In a first step, a comprehensive framework is developed composed of

  14. Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League.

    Science.gov (United States)

    Woods, Carl T; Robertson, Sam; Sinclair, Wade H; Collier, Neil French

    2018-04-01

    Analysing the dissimilarity of seasonal and team profiles within elite sport may reveal the evolutionary dynamics of game-play, while highlighting the similarity of individual team profiles. This study analysed seasonal and team dissimilarity within the National Rugby League (NRL) between the 2005 to 2016 seasons. Longitudinal. Total seasonal values for 15 performance indicators were collected for every NRL team over the analysed period (n=190 observations). Non-metric multidimensional scaling was used to reveal seasonal and team dissimilarity. Compared to the 2005 to 2011 seasons, the 2012 to 2016 seasons were in a state of flux, with a relative dissimilarity in the positioning of team profiles on the ordination surface. There was an abrupt change in performance indicator characteristics following the 2012 season, with the 2014 season reflecting a large increase in the total count of 'all run metres' (d=1.21; 90% CI=0.56-1.83), 'kick return metres' (d=2.99; 90% CI=2.12-3.84) and decrease in 'missed tackles' (d=-2.43; 90% CI=-3.19 to -1.64) and 'tackle breaks' (d=-2.41; 90% CI=-3.17 to -1.62). Interpretation of team ordination plots showed that certain teams evolved in (dis)similar ways over the analysed period. It appears that NRL match-types evolved following the 2012 season and are in a current state of flux. The modification of coaching tactics and rule changes may have contributed to these observations. Coaches could use these results when designing prospective game strategies in the NRL. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  15. Approaching a Conceptual Framework for Research on Sustainability Performance in Corporate Value Chains

    DEFF Research Database (Denmark)

    Kjærgaard, Thomas

    variations of stakeholder engagement and adopt a value chain narrative in their sustainability reporting. Multi-stakeholder reporting standards like the Global Reporting Initiative (GRI) and the UN Global Compact (UNGC) are adopted by corporations across industries, but only target sustainability issues...... in supply- and value chains to a limited extent. Though, this article proposes that the ongoing work towards new standards for integrated sustainability reporting represents a unique opportunity for increasing the presence of supply- and value chain perspectives in reporting in a way that facilitates a more...... optimal use of sustainability reports as a primary data source in research. Hence, this article proposes a conceptual framework for research on sustainability performance in corporate value chains, which potentially increases the future contributions to both the literature let alone practice. Different...

  16. A Causal Relationship between Quality Management Practices, Supply-Chain Practices, Demand-Chain Practices, and Company Performance: Evidence from the Indonesia’s Oil and Gas Industry

    OpenAIRE

    Ciptono, Wakhid Slamet

    2015-01-01

    Studi ini mengembangkan suatu hubungan kausal antara lima konstruk penelitian QualityManagement Practices (QMP), Supply-Chain Practices (SCP), Demand-Chain Practices (DCP), CompanyPerformance (Value-Gain Performance atau VGP dan Monetary-Gain Performance atau MGP) denganmenggunakan Structural Equation Modeling (SEM)—studi kasus pada industri migas di Indonesia. Modelkonseptual penelitian ini merupakan kolaborasi dari berbagai penelitian sebelumnya yang terkait denganenam dimensi praktik manaj...

  17. Effects of Supplier-Manufacturer Relationships on Supply-Chain Performance of Manufacturing Industries in Indonesia

    Directory of Open Access Journals (Sweden)

    Rachmad Hidayat

    2015-08-01

    Full Text Available The present study describes the relationships between commitment, communication, satisfaction, trust, relationship quality with suppliers, and supply-chain performance. The population of the study was manufacturing companies in Indonesia. Respondents were the chief executive officers or corporate secretaries or the designated managers involved in strategic decision making. Samples were taken by using a proportional area random sampling technique. Structural Equation Modeling (SEM was used for analysis. Results of both direct and indirect testing of hypothesis indicated two hypotheses of positive and significant effects and nine hypotheses of positive but insignificant effects. Those hypotheses of positive and significant effects were the direct effects of trust on supply-chain performance and the direct effects of relationship quality on supply chain performance.

  18. Procurement risk management practices and supply chain performance among mobile phone service providers in Kenya

    Directory of Open Access Journals (Sweden)

    Emily Adhiambo Okonjo

    2016-02-01

    Full Text Available The aim of this study was to establish the relationship between procurement risk management practices and supply chain performance among mobile phone service providers in Kenya. The study specifically set out to establish the extent to which mobile phone service providers have implemented procurement risk management practices and to determine the relationship between procurement risk management practices and supply chain performance. The study adopted a descriptive study design by collecting data from the four (4 mobile telecommunication companies in Kenya using a self-administered questionnaire. Means, standard deviation, and regression analysis were used to analyze the data collected. The study established that most of the mobile phone service providers in Kenya had implemented procurement risk management practices. It was also clear that there was a very significant relationship between procurement risk management practices and supply chain performance.

  19. Differential recruitment efficacy of patient-derived amyloidogenic and myeloma light chain proteins by synthetic fibrils-A metric for predicting amyloid propensity.

    Directory of Open Access Journals (Sweden)

    Emily B Martin

    Full Text Available Monoclonal free light chain (LC proteins are present in the circulation of patients with immunoproliferative disorders such as light chain (AL amyloidosis and multiple myeloma (MM. Light chain-associated amyloid is a complex pathology composed of proteinaceous fibrils and extracellular matrix proteins found in all patients with AL and in ~10-30% of patients who presented with MM. Amyloid deposits systemically in multiple organs and tissues leading to dysfunction and ultimately death. The overall survival of patients with amyloidosis is worse than for those with early stage MM.We have developed a sensitive binding assay quantifying the recruitment of full length, patient-derived LC proteins by synthetic amyloid fibrils, as a method for studying their amyloidogenic potential. In a survey of eight urinary LC, both AL and MM-associated proteins were recruited by synthetic amyloid fibrils; however, AL-associated LC bound significantly more efficiently (p < 0.05 than did MM LCs. The LC proteins used in this study were isolated from urine and presumed to represent a surrogate of serum free light chains.The binding of LC to synthetic fibrils in this assay accurately differentiated LC with amyloidogenic propensity from MM LC that were not associated with clinical amyloid disease. Notably, the LC from a MM patient who subsequently developed amyloid behaved as an AL-associated protein in the assay, indicating the possibility for identifying MM patients at risk for developing amyloidosis based on the light chain recruitment efficacy. With this information, at risk patients can be monitored more closely for the development of amyloidosis, allowing timely administration of novel, amyloid-directed immunotherapies-this approach may improve the prognosis for these patients.

  20. Metrication manual

    International Nuclear Information System (INIS)

    Harper, A.F.A.; Digby, R.B.; Thong, S.P.; Lacey, F.

    1978-04-01

    In April 1978 a meeting of senior metrication officers convened by the Commonwealth Science Council of the Commonwealth Secretariat, was held in London. The participants were drawn from Australia, Bangladesh, Britain, Canada, Ghana, Guyana, India, Jamaica, Papua New Guinea, Solomon Islands and Trinidad and Tobago. Among other things, the meeting resolved to develop a set of guidelines to assist countries to change to SI and to compile such guidelines in the form of a working manual

  1. The Effect of Electronic Banking on the Performance of Supply Chain Management of Small Businesses

    OpenAIRE

    Fakhriyeh Hamidianpour; Majid Esmaeilpour; Ali Daryanavard

    2016-01-01

    In current age, e-commerce does not just imply online buying and selling, but implies an efficient business throughout business levels, in which supply chain management can be regarded as the major pillar. The aim of this survey is to study effect of use of electronic banking services and important instruments of e-banking on performance and dimensions of supply chain performance at the first level of the SCOR model in electronics businesses. The present study is an applied research type in t...

  2. Lean production in improving supply chain performance through hybrid model SCOR 11.0 - system dynamics

    Science.gov (United States)

    Saleh, Chairul; Fatcha Mubiena, Ghaida; Immawan, Taufiq; Hassan, Azmi

    2016-02-01

    Supply Chain Operation Reference (SCOR) is a method to measure supply chain serving the business process framework, performance indicators and unique technologies to support communication and collaboration among supply chain partners. The objective of this paper is to measure Supply Chain Management performance by using SCOR version 11.0 for production typology of MTS-MTO in Indonesian Batik Industry. This research combines SCOR's model and System Dynamics in order to predict the complex activities on batik industry. The hybrid SCOR-SD could identify the interaction among five attributes with the associated variables simultaneously. The results are obtained after the performance of lean production application is increased and the targets are achieved, even exceeding the target. For reliability attributes that associated with perfect order fulfilment started from 2015 to 2019 respectively are calculated as 80.06%, 103.53%, 105.58%, 93.76%, and 72.17%. Responsiveness attributes associated with the order fulfilment cycle time, respectively 122.45%, 149.10%, 159.26%, 131.53%, and 119.36%. Attributes associated with the total cost of service charge respectively 93.46%, 93.53%, 93.45%, 93.49, and 93.49%. Attributes associated with cash management assets to cash cycle time in a row were 160%, 153%, 146.3%, 150%, and 126.7%. The latter attribute is agility attributes associated with supply chain flexibility upside respectively 100%, 87.2%, 100%, 82%, and 82%.

  3. Factors Affecting Green Supply Chain Operational Performance of the Thai Auto Parts Industry

    Directory of Open Access Journals (Sweden)

    Korrakot Yaibuathet Tippayawong

    2016-11-01

    Full Text Available In this work, operational performance in the green supply chain management (SCM of the Thai auto parts industry was investigated. A green supply chain performance measurement (GSPM model was developed from the combination of various concepts including an SCM logistics scorecard, a supply chain operations reference model, a balance scorecard, and green supply chain management. The GSPM has been designed for use as a self-evaluation tool focusing on five decisive areas, or factors, and 28 sub-factors. A factor analysis was conducted using the survey results of the GSPM in order to identify significant factors that represent the green supply chain operation performance. Grouped as three major factors, namely green procurement, green transportation, and green manufacturing; reverse logistics and eco-design; and reuse and recycle of manufacturing, their significance and impact on the auto parts industry in Thailand were highlighted. Specifically, the factor of green procurement, green transportation, and green manufacturing, as major factor 1, in relation with the factor of reverse logistics and eco-design, as major factor 2, were found to have a strong positive relationship with the asset turnover ratio.

  4. Predicting the Performance of Chain Saw Machines Based on Shore Scleroscope Hardness

    Science.gov (United States)

    Tumac, Deniz

    2014-03-01

    Shore hardness has been used to estimate several physical and mechanical properties of rocks over the last few decades. However, the number of researches correlating Shore hardness with rock cutting performance is quite limited. Also, rather limited researches have been carried out on predicting the performance of chain saw machines. This study differs from the previous investigations in the way that Shore hardness values (SH1, SH2, and deformation coefficient) are used to determine the field performance of chain saw machines. The measured Shore hardness values are correlated with the physical and mechanical properties of natural stone samples, cutting parameters (normal force, cutting force, and specific energy) obtained from linear cutting tests in unrelieved cutting mode, and areal net cutting rate of chain saw machines. Two empirical models developed previously are improved for the prediction of the areal net cutting rate of chain saw machines. The first model is based on a revised chain saw penetration index, which uses SH1, machine weight, and useful arm cutting depth as predictors. The second model is based on the power consumed for only cutting the stone, arm thickness, and specific energy as a function of the deformation coefficient. While cutting force has a strong relationship with Shore hardness values, the normal force has a weak or moderate correlation. Uniaxial compressive strength, Cerchar abrasivity index, and density can also be predicted by Shore hardness values.

  5. Business alignment in the procurement domain: a study of antecedents and determinants of supply chain performance

    Directory of Open Access Journals (Sweden)

    Patrick Mikalef

    2014-01-01

    Full Text Available With organizations now placing an increasing amount on attention on the management of their supply chain activities, the role of Information Technology (IT in supporting these operations has been put in the spotlight. In spite of extensive research examining how IT can be employed in various activities of supply chain management, the majority of studies are limited in identifying enablers and inhibitors of adoption. Empirical studies examining post-adoption conditions that facilitate performance improvement still remain scarce. In this study we focus on procurement as part of the supply chain management activities. We apply the business-IT alignment perspective to the domain of procurement, and examine how certain organizational factors impact the attainment of this state. Additionally, we research the effect that procurement alignment has on supply chain management performance. In order to do so, we apply Partial Least Squares (PLS analysis on a sample of 172 European companies. We find that firms that opt for a centralized governance structure, as well as larger firms, are more likely to attain a state of procurement alignment. Furthermore, our results empirically support the statement that procurement alignment is positively correlated with operational efficiency and competitive performance of the supply chain.

  6. An integrated information system to support supply chain management & performance in SMEs

    International Nuclear Information System (INIS)

    Dekeng; Budiarto, S.; Prabowo, M. Agung; Herawan, Tutut

    2017-01-01

    This study aims to examine the relation between the level of supply chain management (SCM) adoption and small & medium enterprises (SMEs) performance. SCM adoption level is expected to facilitate SMEs in improving their efficiency, thus they can obtain their competitive advantage. Design/methodology/approach: This study uses primary data in the form of questionnaires. This study only takes the SMEs engaged in commerce (retail) business in order to avoid bias in IT usage. The questionnaires are given to 88 SMEs owners whom responsible for the IT development in their companies. Findings: The result proves that SCM adoption significantly affects SMEs performance. The hypotheses testing is performed using one-way ANOVA, the result shows that there are significant differences between level initiation, diffusion, and integration with SMEs performance. Originality: This study explains the relation between supply chain management (SCM) adoption level and SMEs performance that has never been performed before.

  7. An integrated information system to support supply chain management & performance in SMEs

    Energy Technology Data Exchange (ETDEWEB)

    Dekeng; Budiarto, S.; Prabowo, M. Agung; Herawan, Tutut

    2017-07-01

    This study aims to examine the relation between the level of supply chain management (SCM) adoption and small & medium enterprises (SMEs) performance. SCM adoption level is expected to facilitate SMEs in improving their efficiency, thus they can obtain their competitive advantage. Design/methodology/approach: This study uses primary data in the form of questionnaires. This study only takes the SMEs engaged in commerce (retail) business in order to avoid bias in IT usage. The questionnaires are given to 88 SMEs owners whom responsible for the IT development in their companies. Findings: The result proves that SCM adoption significantly affects SMEs performance. The hypotheses testing is performed using one-way ANOVA, the result shows that there are significant differences between level initiation, diffusion, and integration with SMEs performance. Originality: This study explains the relation between supply chain management (SCM) adoption level and SMEs performance that has never been performed before.

  8. The Effect of IT Integration on Supply Chain Agility Towards Market Performance (A Proposed Study

    Directory of Open Access Journals (Sweden)

    Shaghayegh Maleki Far

    2017-06-01

    Full Text Available Aim/Purpose\t: An important objective of any firm is escalation of its performance and the achievement of competitive advantages. Supply chain agility plays a prominent role to enhance the level of firm’s performance. Moreover, information technology (IT plays a foundational role in supply chain management practices. Hence, this study proposes the relationship between IT integration as the competency of IT and firm’s market performance both directly and through mediating role of supply chain agility. Background:\tMany studies have been done to date on the impact of supply chain agility on overall firm’s performance. However, the effect of an agile supply chain on firm’s market performance per se needs to be studied. Furthermore, there is a gap in the literature about the effect of IT competency such as IT integration on firm’s market performance both directly and through mediating role of supply chain agility. Recommendation for Researchers: The first direction this study gives to researchers is to consider the different factors which have significant effect on the agility of supply chain, particularly the IT related ones. The second direction is about the study on the effect of IT competencies and supply chain agility on each category of firm’s performance separately instead of considering it as a one construct. Impact on Society\t: Although this is a conceptual study, it can highlight the importance of IT competency not only in our daily life, but also in our businesses and industries. Future Research:\tThis study only proposes some relationships based on theory and literature. Future researchers can test these proposed relationships in different contexts and compare the results. Furthermore, this study proposes the relationships for large manufacturing sector in developing countries. The model could be tested for SMEs as well. In addition, the proposed theoretical model in this study might be tested in both developing as well as

  9. Research on the performance evaluation of agricultural products supply chain integrated operation

    Science.gov (United States)

    Jiang, Jiake; Wang, Xifu; Liu, Yang

    2017-04-01

    The agricultural product supply chain integrated operation can ensure the quality and efficiency of agricultural products, and achieve the optimal goal of low cost and high service. This paper establishes a performance evaluation index system of agricultural products supply chain integration operation based on the development status of agricultural products and SCOR, BSC and KPI model. And then, we constructing rough set theory and BP neural network comprehensive evaluation model with the aid of Rosetta and MATLAB tools and the case study is about the development of agricultural products integrated supply chain in Jing-Jin-Ji region. And finally, we obtain the corresponding performance results, and give some improvement measures and management recommendations to the managers.

  10. The Impact of Restaurants’ Green Supply Chain Practices on Firm Performance

    Directory of Open Access Journals (Sweden)

    Jun-Zhi Chiu

    2016-01-01

    Full Text Available This study investigated crucial green supply chain management (GSCM practice dimensions and firm performance based on restaurants firms in Taiwan. On the basis of a factor analysis, four green supply chain management dimensions were identified: corporate environment policy, green packing, green product, and economic transport. This study investigated crucial GSCM practice dimensions (including corporate environment policy, packaging waste, economic transport, and product recycling, green capability and organizational performance. The results shown: first, green practices in restaurants in Taiwan have an indirect effect on firm performance through green capability; second, when the ability of suppliers of green and green capability is at a higher degree, it will contribute to organizational performance, namely environmental and economic performance. Finally, green practices could be a key driver of green capability and it should be a priority in restaurants.

  11. D 1.4.1. Review of Scientific Literature on Performance, Innovation and Management of Supply Chains

    NARCIS (Netherlands)

    Uffelen, van R.L.M.; Immink, V.M.; Trienekens, J.H.

    2007-01-01

    The aim of the Work package 1.4 INNOCHAIN (WP1.4) of ISAfruit is to develop a conceptual framework of the mechanisms underlying supply chain management, in particular chain innovativeness, of the European supply chains in such a way that performance can be maximized. The results of WP1.4 will

  12. SIMPATIQCO: a server-based software suite which facilitates monitoring the time course of LC-MS performance metrics on Orbitrap instruments.

    Science.gov (United States)

    Pichler, Peter; Mazanek, Michael; Dusberger, Frederico; Weilnböck, Lisa; Huber, Christian G; Stingl, Christoph; Luider, Theo M; Straube, Werner L; Köcher, Thomas; Mechtler, Karl

    2012-11-02

    While the performance of liquid chromatography (LC) and mass spectrometry (MS) instrumentation continues to increase, applications such as analyses of complete or near-complete proteomes and quantitative studies require constant and optimal system performance. For this reason, research laboratories and core facilities alike are recommended to implement quality control (QC) measures as part of their routine workflows. Many laboratories perform sporadic quality control checks. However, successive and systematic longitudinal monitoring of system performance would be facilitated by dedicated automatic or semiautomatic software solutions that aid an effortless analysis and display of QC metrics over time. We present the software package SIMPATIQCO (SIMPle AuTomatIc Quality COntrol) designed for evaluation of data from LTQ Orbitrap, Q-Exactive, LTQ FT, and LTQ instruments. A centralized SIMPATIQCO server can process QC data from multiple instruments. The software calculates QC metrics supervising every step of data acquisition from LC and electrospray to MS. For each QC metric the software learns the range indicating adequate system performance from the uploaded data using robust statistics. Results are stored in a database and can be displayed in a comfortable manner from any computer in the laboratory via a web browser. QC data can be monitored for individual LC runs as well as plotted over time. SIMPATIQCO thus assists the longitudinal monitoring of important QC metrics such as peptide elution times, peak widths, intensities, total ion current (TIC) as well as sensitivity, and overall LC-MS system performance; in this way the software also helps identify potential problems. The SIMPATIQCO software package is available free of charge.

  13. Covariance versus component based approaches for Green Supply Chain Management and Performance

    NARCIS (Netherlands)

    De Giovanni, P.; Esposito Vinzi, V.

    2012-01-01

    In this paper, we investigate the relationships between environmental management (EM) and performance to verify: whether the implementation of an effective internal environmental is a firm's precondition to belong to a green supply chain; which type of environmental practices (either internal or

  14. Construction Project Performance Improvement through Radio Frequency Identification Technology Application on a Project Supply Chain

    Science.gov (United States)

    Wang, Heng

    2017-01-01

    Construction project productivity typically lags other industries and it has been the focus of numerous studies in order to improve the project performance. This research investigated the application of Radio Frequency Identification (RFID) technology on construction projects' supply chain and determined that RFID technology can improve the…

  15. The sustainability and performance measurement on supply chain in services industry: A literature review

    Science.gov (United States)

    Leksono, Eko Budi; Suparno, Vanany, Iwan

    2017-11-01

    The services industry growth has been significant relation with economic growth. A new paradigm is needed for services sector development. The supply chain and performance measurement able to sustain of services industry growth. The supply chain implementation in the services industry called service supply chain (SSC). The globalization and stakeholder pressure makes operation of SSC should more attention to sustainability issue which consists of economic, social and environment simultaneously on SSC. Furthermore, services industry can develop by implementation of the sustainable SSC and its performance measurement. The sustainable SSC implementation can minimize of negative operation effect to environment and social, and maximize of profit. Sustainable service supply chain performance measurements (SSSCPM) are still less explored. The purpose of this paper is to review the literature in the field SSC, SSSC, SSC performance measurement (SSCPM) and SSSCPM for identification of the SSSCPM frameworks and indicators. Beside, the result of review able to look opportunities for develop a new framework for SSSCPM at the operational level, tactical and strategic, multiplayer and close loop, the effectiveness of the integration and development of modeling and simulation for evaluation in the future.

  16. A performance evaluation of ACO and SA TSP in a supply chain network

    Science.gov (United States)

    Rao, T. Srinivas

    2017-07-01

    Supply Chain management and E commerce business solutions are one of the prominent areas of active research. In our paper we have modelled a supply chain model which aggregates all the manufacturers requirement and the products are supplied to all the manufacturer through a common vehicle routing algorithm. An appropriate tsp has been constructed for all the manufacturers which determines the shortest route thru which the aggregated material can be supplied in the shortest possible time. In this paper we have solved the shortest route through constructing a Simulated annealing algorithm and Ant colony algorithm and their performance is evaluated.

  17. A Comprehensive Approach in Assessing the Performance of an Automobile Closed-Loop Supply Chain

    Directory of Open Access Journals (Sweden)

    Ezutah Udoncy Olugu

    2010-03-01

    Full Text Available The ecological issues arising from manufacturing operations have led to the focus on environmental sustainability in manufacturing. This can be addressed adequately using a closed-loop supply chain (CLSC. To attain an effective and efficient CLSC, it is necessary to imbibe a holistic performance measurement approach. In order to achieve this, there is a need to adopt a specific approach for a particular product rather than being generic. Since sustainability has direct environmental footprints that involve organizational stakeholders, suppliers, customers and the society at large, complexities surrounding supply chain performance measurement have multiplied. In this study, a suitable approach has been proposed for CLSC performance measurement in the automotive industry, based on reviewed literature. It is believed that this approach will result in increased effectiveness and efficiency in CLSC performance measurement.

  18. Numerical analysis of the performance of an atomic iodine laser amplifier chain

    International Nuclear Information System (INIS)

    Uchiyama, T.; Witte, K.J.

    1981-05-01

    The performance of an atomic iodine laser amplifier chain with output pulse powers close to 2 TW is analyzed by a numerical solution of the Maxwell-Bloch equations. Two subjects are discussed in detail. The first one refers to the pulse compression occurring in the chain as a result of saturation and some related aspects such as damage to components, self-focussing, correlation between the input and output pulse shapes, and the means of pulse shape control. The second deals with various schemes suited for achieving extraction efficiencies of about or larger than 55%. These include the single-pass and double-pass schemes, pulses with two carrier frequencies and a variation of the pulse carrier frequency. In addition, the response of the chain to a variation of those parameters which are most easily subject to change in a routine operation is investigated. (orig.)

  19. Internal environment, organizational form and their impact on financial performance of hotel chains

    OpenAIRE

    Huo, Yang Hwae

    1994-01-01

    The primary objective of this study was to investigate the relationship between internal environment, organizational form, and financial performance in hotel chains. Using a contingency framework, this study investigated the match between internal environmental factors--such as capital scarcity, monitoring cost, and asset specificity--and organizational form--such as company owned, franchised, or combination of both--in an attempt to distinguish between high and low performing ...

  20. Analysis of short-chain acids from anaerobic bacteria by high-performance liquid chromatography.

    OpenAIRE

    Guerrant, G O; Lambert, M A; Moss, C W

    1982-01-01

    A standard mixture of 25 short-chain fatty acids was resolved by high-performance liquid chromatography, using an Aminex HPX-87 column. The acids produced in culture media by anaerobic bacteria were analyzed by high-performance liquid chromatography after extraction with ether and reextraction into a small volume of 0.1 N NaOH. The presence of fumaric acid in culture extracts of Peptostreptococcus anaerobius was confirmed by gas chromatography-mass spectrometry analysis of the trapped eluent ...

  1. Influence of Farmer demographics and Supply Chain Issues on Organized Retailer Performance

    Directory of Open Access Journals (Sweden)

    Prabhu Aruna

    2018-01-01

    Full Text Available Advances in information technology and increased social networking have increased health awareness among people in this era. The increased health awareness has prompted people to eat healthy and stay fit. In this regard, the food sector has seen tremendous demand in terms of good quality vegetables/fruits, cereals, with hygiene, nutrition, proteins etc. With the consumer willing to pay an extra premium for the quality expected, it has been observed that the producers are still offered low prices for a good quality produce whereas the intermediaries grab a huge share of the price paid by the consumer. This research tried to understand the supply chain with the farmers in focus and explored the influence of farmer demographics and the supply chain issues on the performance of the organized retail. Linear regression analysis was used to test the linear relationship of supply chain issues with organized retailer performance. The outcome of the study implies that independent variables like demographic characteristics and supply chain issues had no control over the retailer’s performance.

  2. Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

    Directory of Open Access Journals (Sweden)

    Mohammad Asif Salam

    2017-11-01

    Full Text Available The purpose of this study is to analyze different types of supply chain uncertainties and suggest strategies to deal with unexpected contingencies to deliver superior operational performance (OP using symmetrical and asymmetrical modeling approaches. The data were collected through a survey given to 146 supply chain managers within the fast moving consumer goods industry in Thailand. Symmetrical modeling is applied via partial least squares structural equation modeling (PLS-SEM in order to assess the theoretical relationships among the latent variables, while asymmetrical modeling is applied via fuzzy set qualitative comparative analysis (fsQCA to emphasize their combinatory causal relation. The empirical results support the theory by highlighting the mediating effect of supply chain strategy (SCS in the relation between supply chain uncertainty (SCU and firms’ OP and, hence, deliver business sustainability for the firms, demonstrating that the choice of SCS should not be an “either-or” decision. This research contributes by providing an illustration of a PLS-SEM and fsQCA based estimation for the rapidly emerging field of sustainable supply chain management. This study provides empirical support for resource dependence theory (RDT in explaining the relation between SCU and SCS, which leads to sustainable OP. From a methodological standpoint, this study also illustrates predictive validation testing of models using holdout samples and testing for causal asymmetry.

  3. Customized Transportation, Equity Participation, and Cooperation Performance within Logistics Supply Chains

    Directory of Open Access Journals (Sweden)

    Xudong Lin

    2015-01-01

    Full Text Available Customized transportation has received growing concerns by researchers and practitioners in recent years. Despite the fact that one consignor often holds partial ownership of its carrier within a supply chain, the existing interpretations behind them remain relatively unexplored. Based on the game models, we find that a simple take-or-pay contract is not likely to solve the low-efficient customized production problem, and equity participation mechanism plus simple contract may improve the cooperation performance of customized transportation. In the case of the owner-managed carrier, only when purchasing at par can it be ensured to obtain the socially optimal customization investment, but when purchasing at premium or discount, the optimal partial ownership selected by consignor cannot motivate the carrier to make the most efficient customization investment. With the optimal solutions, we also provide a theoretic foundation for calculating the optimal partial ownership and for interpreting why the interfirm share-holding ratios of the member-firms within the familial-type logistic supply chains are much larger than the ratios within the public-type logistic supply chains. Finally, our results show that the familial-type logistic supply chains may choose more efficient customized production level than public-type logistic supply chains.

  4. The Configuration Of Supply Chain Agritourism To Improve The Performance With Dynamic Programming

    Directory of Open Access Journals (Sweden)

    Sahnaz Ubud

    2015-09-01

    Full Text Available The purposes of this research is to implementation about  the configuration of Supply Chain Agritourism in Mekarsari Tours Garden and result a decision making  which must be done by top level management about their supply chain configuration. Because now Mekarsari, the biggest fruit garden in the world, have a lot of type of fruit which must be supply for the customer depend on the season with on time. So Mekarsari must know about their configuration from supplier to customer to improve their performance. The Respondents  for this research is selected based on the results of supply chain maping from the worker in the garden, the top level management until the end customer. Supply chian network is formed consisting of farm workers to the end customers, especially those located in the tourist are of green land zone.  The type of data is displayed in a supply chain modeling approach is to use the dynamic system. It’s consists of numeric data, the written data and mental models.  That data is collected and processed into a design model. The design model is using system dynamics methodology. In compiling the system dynamics model has been used software Vensim Professional Academic Ventana 5.7. The result of this research is a configuration of Supply Chain Agritourism which is developed from the supplier until the end customer in Mekarsari tours Garden. From the Dynamic Programming, the result is a decision making which must be done by the top level management to improve the supply chain performance, especially in the green land zone.

  5. Performance appraisal for green/environmental friendliness of a supply chain department

    Directory of Open Access Journals (Sweden)

    Solomon Olasunkanmi Odeyale

    2014-10-01

    Full Text Available Purpose: This paper aims at proposing a method for evaluating the environmental friendliness of a supply chain department in any organization. Supply chain involves activities that could affect the natural environment and if these activities are not properly evaluated and monitored, it could affect the natural environment and also generate ecological performance change. Design/methodology/approach: The model for the appraisal consists of 5 criteria and 30 subcriteria. The method is applied at 3 level; beginning with finding the relative weight of the subcriteria under each criterion using Analytic Hierarchy Process (AHP, followed by computing the value associated with each level descriptor in a scale. Some subcriteria have 5 level descriptors (very strong/moderate /weak/very weak / no, some subcriteria have 3 level descriptors (always / sometimes/ never and some have 2 levels descriptor (yes/no. Finally the method is concluded by the means of an additive model, whereby the weight associated with each subcriteria is multiplied by the corresponding level descriptor and summed up to get the limit/state. This methodology is called the weighing multiplication and additive model (WMAAM. Finding: Supply chain (SC involves operational activities and for these activities to be environmental friendly, they have been categorized under criteria namely; green design, green procurement, green manufacturing, environmental management and green marketing. These criteria which consist of 30 subcriteria are evaluated in other to compute the overall environmental friendly appraisal of the SC department. Practical Implication: The study plays important role in understanding various areas to be monitored and considered during supply chain activities in order to achieve a green supply chain management or an environmental friendly supply chain. Originality/value: The main contribution of this work is to propose an effective methodology that guides SC practitioners on

  6. Adaptive metric kernel regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    2000-01-01

    Kernel smoothing is a widely used non-parametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this contribution, we propose an algorithm that adapts the input metric used in multivariate...... regression by minimising a cross-validation estimate of the generalisation error. This allows to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms...

  7. Adaptive Metric Kernel Regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    1998-01-01

    Kernel smoothing is a widely used nonparametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this paper, we propose an algorithm that adapts the input metric used in multivariate regression...... by minimising a cross-validation estimate of the generalisation error. This allows one to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms the standard...

  8. Are Current Physical Match Performance Metrics in Elite Soccer Fit for Purpose or is the Adoption of an Integrated Approach Needed?

    Science.gov (United States)

    Bradley, Paul S; Ade, Jack D

    2018-01-18

    Time-motion analysis is a valuable data-collection technique used to quantify the physical match performance of elite soccer players. For over 40 years researchers have adopted a 'traditional' approach when evaluating match demands by simply reporting the distance covered or time spent along a motion continuum of walking through to sprinting. This methodology quantifies physical metrics in isolation without integrating other factors and this ultimately leads to a one-dimensional insight into match performance. Thus, this commentary proposes a novel 'integrated' approach that focuses on a sensitive physical metric such as high-intensity running but contextualizes this in relation to key tactical activities for each position and collectively for the team. In the example presented, the 'integrated' model clearly unveils the unique high-intensity profile that exists due to distinct tactical roles, rather than one-dimensional 'blind' distances produced by 'traditional' models. Intuitively this innovative concept may aid the coaches understanding of the physical performance in relation to the tactical roles and instructions given to the players. Additionally, it will enable practitioners to more effectively translate match metrics into training and testing protocols. This innovative model may well aid advances in other team sports that incorporate similar intermittent movements with tactical purpose. Evidence of the merits and application of this new concept are needed before the scientific community accepts this model as it may well add complexity to an area that conceivably needs simplicity.

  9. Scale-Adjusted Metrics for Predicting the Evolution of Urban Indicators and Quantifying the Performance of Cities.

    Directory of Open Access Journals (Sweden)

    Luiz G A Alves

    Full Text Available More than a half of world population is now living in cities and this number is expected to be two-thirds by 2050. Fostered by the relevancy of a scientific characterization of cities and for the availability of an unprecedented amount of data, academics have recently immersed in this topic and one of the most striking and universal finding was the discovery of robust allometric scaling laws between several urban indicators and the population size. Despite that, most governmental reports and several academic works still ignore these nonlinearities by often analyzing the raw or the per capita value of urban indicators, a practice that actually makes the urban metrics biased towards small or large cities depending on whether we have super or sublinear allometries. By following the ideas of Bettencourt et al. [PLoS ONE 5 (2010 e13541], we account for this bias by evaluating the difference between the actual value of an urban indicator and the value expected by the allometry with the population size. We show that this scale-adjusted metric provides a more appropriate/informative summary of the evolution of urban indicators and reveals patterns that do not appear in the evolution of per capita values of indicators obtained from Brazilian cities. We also show that these scale-adjusted metrics are strongly correlated with their past values by a linear correspondence and that they also display crosscorrelations among themselves. Simple linear models account for 31%-97% of the observed variance in data and correctly reproduce the average of the scale-adjusted metric when grouping the cities in above and below the allometric laws. We further employ these models to forecast future values of urban indicators and, by visualizing the predicted changes, we verify the emergence of spatial clusters characterized by regions of the Brazilian territory where we expect an increase or a decrease in the values of urban indicators.

  10. Shareholder Value and the Performance of a Large Nursing Home Chain

    Science.gov (United States)

    Kitchener, Martin; O'Meara, Janis; Brody, Ab; Lee, Hyang Yuol; Harrington, Charlene

    2008-01-01

    Objective To analyze corporate governance arrangements and quality and financial performance outcomes among large multi-facility nursing home corporations (chains) that pursue stakeholder value (profit maximization) strategies. Study Design To establish a foundation of knowledge about the focal phenomenon and processes, we conducted an historical (1993–2005) case study of one of the largest chains (Sun Helathcare Inc.) that triangulated qualitative and quantitative data sources. Data Sources Two main sets of information were compared: (1) corporate sources including Sun's Security Exchange Commission (SEC) Form 10-K annual reports, industry financial reports, and the business press; and (2) external sources including, legal documents, press reports, and publicly available California facility cost reports and quality data. Principal Findings Shareholder value was pursued at Sun through three inter-linked strategies: (1) rapid growth through debt-financed mergers; (2) labor cost constraint through low nurse staffing levels; and (3) a model of corporate governance that views sanctions for fraud and poor quality as a cost of business. Conclusions Study findings and evidence from other large nursing home chains underscore calls from the Institute of Medicine and other bodies for extended oversight of the corporate governance and performance of large nursing home chains. PMID:18454781

  11. Shareholder value and the performance of a large nursing home chain.

    Science.gov (United States)

    Kitchener, Martin; O'Meara, Janis; Brody, Ab; Lee, Hyang Yuol; Harrington, Charlene

    2008-06-01

    To analyze corporate governance arrangements and quality and financial performance outcomes among large multi-facility nursing home corporations (chains) that pursue stakeholder value (profit maximization) strategies. To establish a foundation of knowledge about the focal phenomenon and processes, we conducted an historical (1993-2005) case study of one of the largest chains (Sun Healthcare Inc.) that triangulated qualitative and quantitative data sources. Two main sets of information were compared: (1) corporate sources including Sun's Security Exchange Commission (SEC) Form 10-K annual reports, industry financial reports, and the business press; and (2) external sources including, legal documents, press reports, and publicly available California facility cost reports and quality data. Shareholder value was pursued at Sun through three inter-linked strategies: (1) rapid growth through debt-financed mergers; (2) labor cost constraint through low nurse staffing levels; and (3) a model of corporate governance that views sanctions for fraud and poor quality as a cost of business. Study findings and evidence from other large nursing home chains underscore calls from the Institute of Medicine and other bodies for extended oversight of the corporate governance and performance of large nursing home chains.

  12. A systematic approach towards the objective evaluation of low-contrast performance in MDCT: Combination of a full-reference image fidelity metric and a software phantom

    International Nuclear Information System (INIS)

    Falck, Christian von; Rodt, Thomas; Waldeck, Stephan; Hartung, Dagmar; Meyer, Bernhard; Wacker, Frank; Shin, Hoen-oh

    2012-01-01

    Objectives: To assess the feasibility of an objective approach for the evaluation of low-contrast detectability in multidetector computed-tomography (MDCT) by combining a virtual phantom containing simulated lesions with an image quality metric. Materials and methods: A low-contrast phantom containing hypodense spheric lesions (−20 HU) was scanned on a 64-slice MDCT scanner at 4 different dose levels (25, 50, 100, 200 mAs). In addition, virtual round hypodense low-contrast lesions (20 HU object contrast) based on real CT data were inserted into the lesion-free section of the datasets. The sliding-thin-slab algorithm was applied to the image data with an increasing slice-thickness from 1 to 15 slices. For each dataset containing simulated lesions a lesion-free counterpart was reconstructed and post-processed in the same manner. The low-contrast performance of all datasets containing virtual lesions was determined using a full-reference image quality metric (modified multiscale structural similarity index, MS-SSIM*). The results were validated against a reader-study of the real lesions. Results: For all dose levels and lesion sizes there was no statistically significant difference between the low-contrast performance as determined by the image quality metric when compared to the reader study (p < 0.05). The intraclass correlation coefficient was 0.72, 0.82, 0.90 and 0.84 for lesion diameters of 4 mm, 5 mm, 8 mm and 10 mm, respectively. The use of the sliding-thin-slab algorithm improves lesion detectability by a factor ranging from 1.15 to 2.69 when compared with the original axial slice (0.625 mm). Conclusion: The combination of a virtual phantom and a full-reference image quality metric enables a systematic, automated and objective evaluation of low-contrast detectability in MDCT datasets and correlates well with the judgment of human readers.

  13. EFFECT OF COST INCREMENT DISTRIBUTION PATTERNS ON THE PERFORMANCE OF JIT SUPPLY CHAIN

    Directory of Open Access Journals (Sweden)

    Ayu Bidiawati J.R

    2008-01-01

    Full Text Available Cost is an important consideration in supply chain (SC optimisation. This is due to emphasis placed on cost reduction in order to optimise profit. Some researchers use cost as one of their performance measures and others propose ways of accurately calculating cost. As product moves across SC, the product cost also increases. This paper studied the effect of cost increment distribution patterns on the performance of a JIT Supply Chain. In particular, it is necessary to know if inventory allocation across SC needs to be modified to accommodate different cost increment distribution patterns. It was found that funnel is still the best card distribution pattern for JIT-SC regardless the cost increment distribution patterns used.

  14. Shift in performance of food safety management systems in supply chains: case of green bean chain in Kenya versus hot pepper chain in Uganda.

    Science.gov (United States)

    Nanyunja, Jessica; Jacxsens, Liesbeth; Kirezieva, Klementina; Kaaya, Archileo N; Uyttendaele, Mieke; Luning, Pieternel A

    2016-08-01

    This study investigates the level of design and operation of food safety management systems (FSMS) of farmers and export traders in Kenya and Uganda. FSMS diagnostic tools developed for the fresh produce chain were used to assess the levels of context riskiness, FSMS activities and system output in primary production (n = 60) and trade (n = 60). High-risk context characteristics combined with basic FSMS are expected to increase the risk on unsafe produce. In Uganda both farmers and export traders of hot peppers operate in a high- to moderate-risk context but have basic FSMS and low systems output. In Kenya, both farmers and export traders of green beans operate in a low- to moderate-risk context. The farmers have average performing FSMS, whereas export trade companies showed more advanced FSMS and system output scores ranging from satisfactory to good. Large retailers supplying the EU premium market play a crucial role in demanding compliance with strict voluntary food safety standards, which was reflected in the more advanced FSMS and good system output in Kenya, especially traders. In Kenya, a clear shift in more fit-for-purpose FSMS and higher system output was noticed between farms and trade companies. In the case of Uganda, traders commonly supply to the less demanding EU wholesale markets such as ethnic specialty shops. They only have to comply with the legal phytosanitary and pesticide residue requirements for export activities, which apparently resulted in basic FSMS and low system output present with both farmers and traders. © 2015 Society of Chemical Industry. © 2015 Society of Chemical Industry.

  15. Does Lean Improve Labor Standards? Management and Social Performance in the Nike Supply Chain

    OpenAIRE

    Distelhorst, Greg; Hainmueller, Jens; Locke, Richard M.

    2016-01-01

    This study tests the hypothesis that lean manufacturing improves the social performance of manufacturers in emerging markets. We analyze an intervention by Nike Inc. to promote the adoption of lean manufacturing in its apparel supply chain across eleven developing countries. Using difference-in-differences estimates from a panel of over three hundred factories, we find that lean adoption was associated with a 15 percentage point reduction in noncompliance with labor standards t...

  16. An Integrated Information System to Support Supply Chain Management & Performance in SMEs

    OpenAIRE

    Budiarto, Dekeng Setyo; Prabowo, Muhammad Agung; Herawan, Tutut

    2017-01-01

    Purpose: This study aims to examine the relation between the level of supply chain management (SCM) adoption and small & medium enterprises (SMEs) performance. SCM adoption level it is expected to facilitate SMEs in improving their efficiency, thus they can obtain their competitive advantage. Design/methodology/approach: This study uses primary data in the form of questionnaires. This study only takes the SMEs engaged in commerce (retail) business in order to avoid bias in IT ...

  17. STUDI PENINGKATAN KINERJA MANAJEMEN RANTAI PASOK SAYURAN DATARAN TINGGI DI JAWA BARAT Study of Performance Improvement for Highland Vegetables Supply Chain Management in West Java

    Directory of Open Access Journals (Sweden)

    Alim Setiawan S

    2012-05-01

    Full Text Available A performance measurement model is a necessary tool for highland vegetables supply chain performance improve- ment in West Java. The performance measurement is conducted to support an objective planning, a performance evaluation, and determination of the future steps in strategical, tactical and operational levels. This study used system approach which is supported by Exponential Comparison Method (ECM for the selection of superior products;  the combination of the SCOR Model with the Fuzzy AHP to design performance metrics; the Data Envelopment Analy- sis (DEA for performance measurement; and the SWOT analysis to formulate the strategy for increasing the supply chain performance. The result of the ECM showed three commodities with the highest value i.e. Papprica, Lettuce Head and Broccoli. The combined SCOR - Fuzzy AHP analysis produced the performance metric values as follows: delivery performance (0.111, compliance to quality standards (0.299, order fulfillment performance (0.182, order leadtime (0.068, order fulfillment cycle time (0.080, supply chain flexibility (0.052, the SCM cost (0.086, cash-to- cash cycle time (0.080, and the daily stock (0.048. The supply chain performance measurement for Lettuce with the DEA approach indicated that the farmers had not been 100% efficient. While at the company level, the supply chain performance measurement of Lettuce crop and fresh cut showed the efficiency performance of 100 %.  Eventually, the SWOT strategy analysis on the Lettuce lead to the following recommendations to improve the performance:1 use hydrophonic cultivation technology and reduce excessive pesticides, 2 optimize the planting and harvesting schedules considering the climate; 3  increase the responsiveness and the flexibility in meeting consumer orders, and 4 imple- ment the required standard quality assurance and management systems to ensure the consistency of the product quality and acceptability by the  consumers. ABSTRAK

  18. A Sustainable Performance Assessment Framework for Plastic Film Supply Chain Management from a Chinese Perspective

    Directory of Open Access Journals (Sweden)

    Jiuping Xu

    2016-10-01

    Full Text Available Academics’ and practitioners’ interest in sustainable supply chain management has received great concern in recent years. The application of biaxially-oriented polypropylene (BOPP plastic film has had a significant influence on the economic, environmental and social performance of supply chain management. However, research on the integration of these three sustainable dimensions is still rare in this field. In this paper, we identify sustainability criteria based on a triple bottom line approach (economic benefit, environmental protection and social responsibility from the supply chain perspective, develop a hybrid multi-criteria decision making framework to evaluate the criteria and select alternatives and apply the proposed approach to a real case study at a focal BOPP plastic film company in China. In the framework, a fuzzy analytical hierarchy process (FAHP is used to determine the performance criteria weights and a fuzzy technique for order performance by similarity to ideal solution (FTOPSIS is applied to rank the alternatives. The case study finds that the economic dimension was the most important aspect with environmental second and social third. The results also verify the effectiveness of the proposed framework. This paper develops an effective and systematic approach for decision makers to conduct evaluations and select optimal alternatives for focal plastic film companies.

  19. Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study

    Directory of Open Access Journals (Sweden)

    Izunildo Cabral

    2018-01-01

    Full Text Available This paper proposes an agent-based model for evaluating the effect of business interoperability on the performance of cooperative supply chain networks. The model is based on insights from the Industrial Marketing and Purchasing network approach and the complex systems theory perspective. To demonstrate its applicability, an explanatory case study regarding a Portuguese reverse logistics cooperative supply chain network is presented. Face-to-face interviews and forms were used to collect data. The findings show that the establishment of appropriate levels of business interoperability has helped to reduce several non-value-added interaction processes and consequently improve the operational performance of the Valorpneu network. Regarding the research implications, this paper extends the current knowledge on business interoperability and an important problem in business: how business interoperability gaps in dyadic organizational relationships affect the network of companies that the two companies belong to—network effect. In terms of practical implications, managers can use the proposed model as a starting point to simulate complex interactions between supply chain network partners and understand better how the performance of their networks emerges from these interactions and from the adoption of different levels of business interoperability.

  20. Boosting the ambipolar performance of solution-processable polymer semiconductors via hybrid side-chain engineering.

    Science.gov (United States)

    Lee, Junghoon; Han, A-Reum; Yu, Hojeong; Shin, Tae Joo; Yang, Changduk; Oh, Joon Hak

    2013-06-26

    Ambipolar polymer semiconductors are highly suited for use in flexible, printable, and large-area electronics as they exhibit both n-type (electron-transporting) and p-type (hole-transporting) operations within a single layer. This allows for cost-effective fabrication of complementary circuits with high noise immunity and operational stability. Currently, the performance of ambipolar polymer semiconductors lags behind that of their unipolar counterparts. Here, we report on the side-chain engineering of conjugated, alternating electron donor-acceptor (D-A) polymers using diketopyrrolopyrrole-selenophene copolymers with hybrid siloxane-solubilizing groups (PTDPPSe-Si) to enhance ambipolar performance. The alkyl spacer length of the hybrid side chains was systematically tuned to boost ambipolar performance. The optimized three-dimensional (3-D) charge transport of PTDPPSe-Si with pentyl spacers yielded unprecedentedly high hole and electron mobilities of 8.84 and 4.34 cm(2) V(-1) s(-1), respectively. These results provide guidelines for the molecular design of semiconducting polymers with hybrid side chains.

  1. The commercial performance of cellulosic ethanol supply-chains in Europe

    Directory of Open Access Journals (Sweden)

    Shah Nilay

    2009-02-01

    Full Text Available Abstract Background The production of fuel-grade ethanol from lignocellulosic biomass resources has the potential to increase biofuel production capacity whilst minimising the negative environmental impacts. These benefits will only be realised if lignocellulosic ethanol production can compete on price with conventional fossil fuels and if it can be produced commercially at scale. This paper focuses on lignocellulosic ethanol production in Europe. The hypothesis is that the eventual cost of production will be determined not only by the performance of the conversion process but by the performance of the entire supply-chain from feedstock production to consumption. To test this, a model for supply-chain cost comparison is developed, the components of representative ethanol supply-chains are described, the factors that are most important in determining the cost and profitability of ethanol production are identified, and a detailed sensitivity analysis is conducted. Results The most important cost determinants are the cost of feedstocks, primarily determined by location and existing markets, and the value obtained for ethanol, primarily determined by the oil price and policy incentives. Both of these factors are highly uncertain. The best performing chains (ethanol produced from softwood and sold as a low percentage blend with gasoline could ultimately be cost competitive with gasoline without requiring subsidy, but production from straw would generally be less competitive. Conclusion Supply-chain design will play a critical role in determining commercial viability. The importance of feedstock supply highlights the need for location-specific assessments of feedstock availability and price. Similarly, the role of subsidies and policy incentives in creating and sustaining the ethanol market highlights the importance of political engagement and the need to include political risks in investment appraisal. For the supply-chains described here, and with

  2. Supply Chain Performance Improvement Strategy Through Quality of Synergy in The Automotive Components Industry

    Directory of Open Access Journals (Sweden)

    Tri Purwani

    2016-04-01

    Full Text Available The purpose of this study were 1 develop a new concept of Bilateral Symmetry, which is the ability of similarity based on transparency and standardization, 2 conduct empirical testing and analyzing the effect of bilateral symmetry to the improved supply chain performance through quality of synergy in industrial automotive components. The study population includes the entire automotive component industry in Indonesia. This study used sample of 105 respondents using purposive sampling method to comply with the AMOS program. The study result shows that the ability of similarity standardization and the ability of the similarity of transparency have positive significant impact on the quality of synergy, and quality of synergy have positive significant impact on the supply chain performance. In addition, from the results of hypothesis testing found two strategies that can improve supply chain performance with 1 increasing the ability of similarity standardization and 2 improve transparency through quality of synergy.Tujuan dari penelitian ini adalah mengembangkan konsep baru bilateral symmetry, yang merupakan kemampuan kesamaan berdasarkan transparansi dan standarisasi, dan melakukan pengujian empiris dan menganalisis pengaruh simetri bilateral untuk peningkatan kinerja rantai pasokan melalui kualitas sinergi pada komponen otomotif industri. Populasi penelitian meliputi seluruh industri komponen otomotif di Indonesia. Penelitian ini menggunakan sampel 105 responden dengan menggunakan metode purposive sampling dan dianalisis dengan program AMOS. Hasil penelitian menunjukkan bahwa kemampuan kesamaan standarisasi dan kemampuan kesamaan transparansi berdampak signifikan positif pada kualitas sinergi, dan kualitas sinergi berdampak signifikan positif terhadap kinerja rantai pasokan. Selain itu, dari hasil pengujian hipotesis menemukan dua strategi yang dapat meningkatkan kinerja supply chain dengan meningkatkan kemampuan kesamaan standarisasi dan

  3. Investigating the Supply Chain Strategies and Information System Strategies Alignment and its Effects on Supply Chain Management Performance (Case Study: Manufacturing Firms in Khuzestan Province, Iran

    Directory of Open Access Journals (Sweden)

    Belghis Bavarsad

    2016-12-01

    Full Text Available The purpose of the present study is to investigate the supply chain strategies and information system strategies alignment and the impact of these two strategies on supply chain management performance of manufacturing firms in Khuzestan province. The population of this applied research consisted of 1716 manufacturing firms and with using Cochran's formula for limited society, 231 firms were selected. Statistical unit of society were the purchasing / logistic managers of said firms and research questionnaire was distributed to them for each firm. The data collection instrument is Qrunfleh (2010 questionnaire, which its content validity was evaluated through experts and academics and its construct validity was confirmed through confirmatory factor analysis. Structural equation models and SPSS 22 have been used in order to analysis the data. The results showed that, all components of supply chain strategies (lean, agile and hybrid have a positive and significant impact on supply chain management performance and the moderate role of Information system strategies (efficient, flexible and comprehensive on supply chain management Performance also conformed.

  4. Interplant coordination, supply chain integration, and operational performance of a plant in a manufacturing network

    DEFF Research Database (Denmark)

    Yang, Cheng; Chaudhuri, Atanu; Farooq, Sami

    2016-01-01

    Purpose The objective of this paper is to investigate the relationships at the level of plant in a manufacturing network, labelled as networked plant in the paper, between (1) inter-plant coordination and operational performance, (2) supply chain integration (SCI) and operational performance......, and (3) inter-plant coordination and SCI. Design/methodology/approach This paper is developed based on the data obtained from the sixth version of International Manufacturing Strategy Survey (IMSS VI). Specifically, this paper uses a subset of the IMSS VI data set from the 606 plants that identified...

  5. Metrics for energy resilience

    International Nuclear Information System (INIS)

    Roege, Paul E.; Collier, Zachary A.; Mancillas, James; McDonagh, John A.; Linkov, Igor

    2014-01-01

    Energy lies at the backbone of any advanced society and constitutes an essential prerequisite for economic growth, social order and national defense. However there is an Achilles heel to today's energy and technology relationship; namely a precarious intimacy between energy and the fiscal, social, and technical systems it supports. Recently, widespread and persistent disruptions in energy systems have highlighted the extent of this dependence and the vulnerability of increasingly optimized systems to changing conditions. Resilience is an emerging concept that offers to reconcile considerations of performance under dynamic environments and across multiple time frames by supplementing traditionally static system performance measures to consider behaviors under changing conditions and complex interactions among physical, information and human domains. This paper identifies metrics useful to implement guidance for energy-related planning, design, investment, and operation. Recommendations are presented using a matrix format to provide a structured and comprehensive framework of metrics relevant to a system's energy resilience. The study synthesizes previously proposed metrics and emergent resilience literature to provide a multi-dimensional model intended for use by leaders and practitioners as they transform our energy posture from one of stasis and reaction to one that is proactive and which fosters sustainable growth. - Highlights: • Resilience is the ability of a system to recover from adversity. • There is a need for methods to quantify and measure system resilience. • We developed a matrix-based approach to generate energy resilience metrics. • These metrics can be used in energy planning, system design, and operations

  6. Implications of Metric Choice for Common Applications of Readmission Metrics

    OpenAIRE

    Davies, Sheryl; Saynina, Olga; Schultz, Ellen; McDonald, Kathryn M; Baker, Laurence C

    2013-01-01

    Objective. To quantify the differential impact on hospital performance of three readmission metrics: all-cause readmission (ACR), 3M Potential Preventable Readmission (PPR), and Centers for Medicare and Medicaid 30-day readmission (CMS).

  7. An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance

    OpenAIRE

    Alfalla-Luque, Rafaela; Marín García, Juan Antonio; Medina-Lopez, Carmen

    2015-01-01

    This paper focuses on the interrelationships among the different dimensions of supply chain integration. Specifically, it examines the relationship between employee commitment and supply chain integration dimensions to explain several performance measures, such as flexibility, delivery, quality, inventory and customer satisfaction. Very little research has been conducted onto this topic, since employee commitment is rarely included as an antecedent of the effect of supply chain integration on...

  8. DMFC Performance of Polymer Electrolyte Membranes Prepared from a Graft-Copolymer Consisting of a Polysulfone Main Chain and Styrene Sulfonic Acid Side Chains

    Directory of Open Access Journals (Sweden)

    Nobutaka Endo

    2016-08-01

    Full Text Available Polymer electrolyte membranes (PEMs for direct methanol fuel cell (DMFC applications were prepared from a graft-copolymer (PSF-g-PSSA consisting of a polysulfone (PSF main chain and poly(styrene sulfonic acid (PSSA side chains with various average distances between side chains (Lav and side chain lengths (Lsc. The polymers were synthesized by grafting ethyl p-styrenesulfonate (EtSS on macro-initiators of chloromethylated polysulfone with different contents of chloromethyl (CM groups, and by changing EtSS content in the copolymers by using atom transfer radical polymerization (ATRP. The DMFC performance tests using membrane electrode assemblis (MEAs with the three types of the PEMs revealed that: a PSF-g-PSSA PEM (SF-6 prepared from a graft copolymer with short average distances between side chains (Lav and medium Lsc had higher DMFC performance than PEMs with long Lav and long Lsc or with short Lav and short Lsc. SF-6 had about two times higher PDmax (68.4 mW/cm2 than Nafion® 112 at 30 wt % of methanol concentration. Furthermore, it had 58.2 mW/cm2 of PDmax at 50 wt % of methanol concentration because of it has the highest proton selectivity during DMFC operation of all the PSF-g-PSSA PEMs and Nafion® 112.

  9. The greenhouse gas emissions performance of cellulosic ethanol supply chains in Europe

    Directory of Open Access Journals (Sweden)

    Bauen Ausilio

    2009-08-01

    Full Text Available Abstract Background Calculating the greenhouse gas savings that may be attributed to biofuels is problematic because production systems are inherently complex and methods used to quantify savings are subjective. Differing approaches and interpretations have fuelled a debate about the environmental merit of biofuels, and consequently about the level of policy support that can be justified. This paper estimates and compares emissions from plausible supply chains for lignocellulosic ethanol production, exemplified using data specific to the UK and Sweden. The common elements that give rise to the greatest greenhouse gas emissions are identified and the sensitivity of total emissions to variations in these elements is estimated. The implications of including consequential impacts including indirect land-use change, and the effects of selecting alternative allocation methods on the interpretation of results are discussed. Results We find that the most important factors affecting supply chain emissions are the emissions embodied in biomass production, the use of electricity in the conversion process and potentially consequential impacts: indirect land-use change and fertiliser replacement. The large quantity of electricity consumed during enzyme manufacture suggests that enzymatic conversion processes may give rise to greater greenhouse gas emissions than the dilute acid conversion process, even though the dilute acid process has a somewhat lower ethanol yield. Conclusion The lignocellulosic ethanol supply chains considered here all lead to greenhouse gas savings relative to gasoline An important caveat to this is that if lignocellulosic ethanol production uses feedstocks that lead to indirect land-use change, or other significant consequential impacts, the benefit may be greatly reduced. Co-locating ethanol, electricity generation and enzyme production in a single facility may improve performance, particularly if this allows the number of energy

  10. A new approach for supply chain risk management: Mapping SCOR into Bayesian network

    Directory of Open Access Journals (Sweden)

    Mahdi Abolghasemi

    2015-01-01

    Full Text Available Purpose: Increase of costs and complexities in organizations beside the increase of uncertainty and risks have led the managers to use the risk management in order to decrease risk taking and deviation from goals. SCRM has a close relationship with supply chain performance. During the years different methods have been used by researchers in order to manage supply chain risk but most of them are either qualitative or quantitative. Supply chain operation reference (SCOR is a standard model for SCP evaluation which have uncertainty in its metrics. In This paper by combining qualitative and quantitative metrics of SCOR, supply chain performance will be measured by Bayesian Networks. Design/methodology/approach: First qualitative assessment will be done by recognizing uncertain metrics of SCOR model and then by quantifying them, supply chain performance will be measured by Bayesian Networks (BNs and supply chain operations reference (SCOR in which making decision on uncertain variables will be done by predictive and diagnostic capabilities. Findings: After applying the proposed method in one of the biggest automotive companies in Iran, we identified key factors of supply chain performance based on SCOR model through predictive and diagnostic capability of Bayesian Networks. After sensitivity analysis, we find out that ‘Total cost’ and its criteria that include costs of labors, warranty, transportation and inventory have the widest range and most effect on supply chain performance. So, managers should take their importance into account for decision making. We can make decisions simply by running model in different situations. Research limitations/implications: A more precise model consisted of numerous factors but it is difficult and sometimes impossible to solve big models, if we insert all of them in a Bayesian model. We have adopted real world characteristics with our software and method abilities. On the other hand, fewer data exist for some

  11. Comparison of screening performance metrics and patient dose of two mammographic image acquisition modes in the Danish National Breast Cancer Screening Programme

    DEFF Research Database (Denmark)

    Abdi, Ahmed Jibril; Fieselmann, Andreas; Pfaff, Heiderose

    2018-01-01

    Introduction: In this study, screening performance metrics and radiation dose were compared for two image acquisition modes for breast cancer screening with MAMMOMAT Inspiration (Siemens Healthcare GmbH, Forchheim, Germany). This mammography system can operate without an anti-scatter grid in place...... compared to grid-based screening. The specificity was 98.11% (95% confidence interval (CI) from 97.93% to 98.29%) and 97.96% (95% CI from 97.84% to 98.09%) for screening with grid-less acquisition and grid-based acquisition, respectively. The cancer detection rate as a measure for sensitivity was equal (0...

  12. Chain-loaded variable resistance warm-up improves free-weight maximal back squat performance.

    Science.gov (United States)

    Mina, Minas A; Blazevich, Anthony J; Giakas, Giannis; Seitz, Laurent B; Kay, Anthony D

    2016-11-01

    The acute influence of chain-loaded variable resistance exercise on subsequent free-weight one-repetition maximum (1-RM) back squat performance was examined in 16 recreationally active men. The participants performed either a free-weight resistance (FWR) or chain-loaded resistance (CLR) back squat warm-up at 85% 1-RM on two separate occasions. After a 5-min rest, the participants attempted a free-weight 1-RM back squat; if successful, subsequent 5% load additions were made until participants failed to complete the lift. During the 1-RM trials, 3D knee joint kinematics and knee extensor and flexor electromyograms (EMG) were recorded simultaneously. Significantly greater 1-RM (6.2 ± 5.0%; p  .05) was found in concentric EMG, eccentric or concentric knee angular velocity, or peak knee flexion angle. Performing a CLR warm-up enhanced subsequent free-weight 1-RM performance without changes in knee flexion angle or eccentric and concentric knee angular velocities; thus a real 1-RM increase was achieved as the mechanics of the lift were not altered. These results are indicative of a potentiating effect of CLR in a warm-up, which may benefit athletes in tasks where high-level strength is required.

  13. The Effect of Relation-Specific Investments in the Supply Chain Triad on Innovation Performance

    Directory of Open Access Journals (Sweden)

    Andrea Gelei

    2016-06-01

    Full Text Available Using a comprehensive survey, this paper analyzes the effect of committed and heavy supply chain relationships characterized by high levels of relation-specific investments in innovation performance in Hungary, an emerging economy in Central and Eastern Europe. For this research, we carry out a two-step analysis. First, we investigate the effect of Relation Specific Investments (RSI on four different innovation-related performance dimensions of a focal firm. In contrast to previous research, we did not limit our analysis to the dyadic relationship level, but rather, we analyzed the triadic supply chain relationships. Uniquely, this paper conceptualizes and measures innovation performance in a complex way, both product and process, but also analyzes incremental and radical innovations. As a second step, the effect of internationalization on the focal firm is tested. Triad level RSI has a positive effect on all innovation related performance dimensions. A test of the moderation effect produced mixed results, indicating the need to treat innovation in a complex, sophisticated way in future research.

  14. HUMAN CAPITAL HETEROGENEITY AND ORGANIZATIONAL PERFORMANCE ANALYSIS: AN EMPIRICAL STUDY ABOUT INTERNATIONAL HOTEL CHAINS IN TURKEY

    Directory of Open Access Journals (Sweden)

    Ali Halici

    2012-01-01

    Full Text Available Today, workforce diversity is not only a legal requirement for organizations, but it is also a must to survive in a highly competitive business environment. The prime motive for this study is to investigate the relationship between workforce diversity and perception of discrimination. The basic hypothesis of the study is that as the workforce diversity increases, the perception of discrimination decreases. In order to test the hypothesis, a survey is carried out international hotel chains in Istanbul. There are 19 international hotel chains in Turkey. In this study research is designed to understand human capital heterogeneity pattern of international chains of hotel industry and how this contribute organizational culture strategically that help to manage organizational performance much more efficiently with cross sectional data. Globalization of markets, changing demographics in the labor market, new business strategies requiring team work and the shift from a manufacturing to a service economy are the prime reasons for human capital heterogeneity (HCH. HCH improves the organizational capabilities in terms of flexibility, creativity, problem solving and competitive advantage. Especially in the service sector, in order to gain competitive advantage, organizations need a diverse workforce for both understanding the diverse needs of customers and answering to these needs in a prompt and proper way.

  15. ASPECTS REGARDING THE ROLE OF INFORMATION TECHNOLOGIES IN THE ASSURANCE OF SUPPLY CHAIN MANAGEMENT PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Ilies Radu Ovidiu

    2013-07-01

    Full Text Available This paper is intended to outline the importance of e-logistics programs, based on the new information technologies and successful e-business applications in the case of Romanian companies that activate in the production and services field, namely producers, suppliers or distributors. The redesigning of the logistic system and the reconfiguration of the supply chain management (SCM challenge the firms, especially the small ones, to explore new e-business applications, on the basis of feasibility studies before getting implemented. For a long time, firms considered that commercial changes are the last solution to resolve SCM problems, however many supply chains have been a failure. The explanation resides in the fact that a number of companies that had integrated their supply chains noticed that there was little or no response to the existing requests in this field. Although commercial changes represent an important part of Business to Business programs, actually very few managers understand the way to deal with them, which is integrating them in e-business programs. This paper outlines the companies’ need to develop e-business programs and the importance of these programs for the whole supply chain to obtain performances, taking into account that many firms that get integrated in the supply chain lack the technological capacity to implement electronic means for processing, transmitting and receiving data. One remedy might be their initiative to use Business to Business programs, with the purpose to offer easily configurable optimized networks and interactive solutions based on Web, at competitive prices. This system should have different assisting functions to help the partners of a supply chain, especially the small firms, to easily integrate up-to-date management and informational system refinement methods, in an efficient and effective way. As it has been pointed out in the paper, a major role for the enhancement of SCM performances is

  16. The Role of the Side Chain on the Performance of N-type Conjugated Polymers in Aqueous Electrolytes

    KAUST Repository

    Giovannitti, Alexander

    2018-04-24

    We report a design strategy that allows the preparation of solution processable n-type materials from low boiling point solvents for organic electrochemical transistors (OECTs). The polymer backbone is based on NDI-T2 copolymers where a branched alkyl side chain is gradually exchanged for a linear ethylene glycol-based side chain. A series of random copolymers was prepared with glycol side chain percentages of 0, 10, 25, 50, 75, 90, and 100 with respect to the alkyl side chains. These were characterized to study the influence of the polar side chains on interaction with aqueous electrolytes, their electrochemical redox reactions, and performance in OECTs when operated in aqueous electrolytes. We observed that glycol side chain percentages of >50% are required to achieve volumetric charging, while lower glycol chain percentages show a mixed operation with high required voltages to allow for bulk charging of the organic semiconductor. A strong dependence of the electron mobility on the fraction of glycol chains was found for copolymers based on NDI-T2, with a significant drop as alkyl side chains are replaced by glycol side chains.

  17. The Role of the Side Chain on the Performance of N-type Conjugated Polymers in Aqueous Electrolytes

    KAUST Repository

    Giovannitti, Alexander; Maria, Iuliana P.; Hanifi, David; Donahue, Mary J.; Bryant, Daniel; Barth, Katrina J.; Makdah, Beatrice E.; Savva, Achilleas; Moia, Davide; Zetek, Matyá š; Barnes, Piers R.F.; Reid, Obadiah G.; Inal, Sahika; Rumbles, Garry; Malliaras, George G.; Nelson, Jenny; Rivnay, Jonathan; McCulloch, Iain

    2018-01-01

    We report a design strategy that allows the preparation of solution processable n-type materials from low boiling point solvents for organic electrochemical transistors (OECTs). The polymer backbone is based on NDI-T2 copolymers where a branched alkyl side chain is gradually exchanged for a linear ethylene glycol-based side chain. A series of random copolymers was prepared with glycol side chain percentages of 0, 10, 25, 50, 75, 90, and 100 with respect to the alkyl side chains. These were characterized to study the influence of the polar side chains on interaction with aqueous electrolytes, their electrochemical redox reactions, and performance in OECTs when operated in aqueous electrolytes. We observed that glycol side chain percentages of >50% are required to achieve volumetric charging, while lower glycol chain percentages show a mixed operation with high required voltages to allow for bulk charging of the organic semiconductor. A strong dependence of the electron mobility on the fraction of glycol chains was found for copolymers based on NDI-T2, with a significant drop as alkyl side chains are replaced by glycol side chains.

  18. Using DEMATEL approach to develop relationships of performance indicators on sustainable service only supply chain performance measurement

    Science.gov (United States)

    Leksono, EB; Suparno; Vanany, I.

    2018-04-01

    Service only supply chain (SOSC) concept is service supply chain (SSC) implementation on pure services. The globalization and stakeholder pressure makes operation of SSC should give the attention to the environment effect, community, economic and intangibility assets. SOSC performance measurement (SOSCPM) may be developed for measuring of performance for sustainability aspects and intangibility assets to meet customer satisfaction. This article discusses sustainable SOSCPM based on balanced scorecard (BSC), include sustainability aspects, intangibility and relations between perspectives and indicators. From literature review, it is found 34 performance indicators that must be confirm to expert and SC actors by survey. From survey validation using weighted average and level of consensus, it is found 29 valid indicators for processed by DEMATEL. From DEMATEL, it is found 26 indicators can be used on sustainable SOSCPM. Furthermore, innovation and growth perspective most influence to other, and customer perspective most important. Intangibility indicators incorporated on innovation and growth perspective very related with human resources. Finally, relations between perspectives and indicator used to design of BSC strategy maps.

  19. Metrics for Evaluation of Student Models

    Science.gov (United States)

    Pelanek, Radek

    2015-01-01

    Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…

  20. A CONFIRMATORY STUDY OF SUPPLY CHAIN PERFORMANCE AND COMPETITIVENESS OF INDIAN MANUFACTURING ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    Amit Kumar Marwah

    2014-03-01

    Full Text Available This paper presents finding of a study on Indian manufacturing organizations. A conceptual model is proposed based on a rigorous literature review. The model so developed undergoes through a confirmatory factor analysis (CFA using Structural Equation Modeling (SEM approach. The paper highlights various factors responsible for supply chain performance (SCP, subsequently leading to competitiveness. The survey involves 361 manufacturing organizations across India and the data is gathered using 5-point Likert scale. The study a ttempts to integrate various factors contributing to SCP in a single study. It is proposed to further test the model using exploratory factor analysis (EFA.

  1. Sustainability of processed foods supply chain: Social, economic and territorial performance

    Directory of Open Access Journals (Sweden)

    Beber Caetano

    2016-01-01

    Full Text Available In a global market, food companies engaged in sustainable development must now integrate the economic and social component. However the tools to assess it are lacking. Several theoretical frameworks have been developed to define social sustainability and its implementation. The attributional approaches, pathways or capabilities methods have emerged, based on a functional unit of a good or service along the supply chain. This paper proposes a new method to assess social economic and territorial performances of a food chain as a whole on a Territory. It is divided into four components: (i dignity and well-being of workers, (ii contribution to local life, (iii fairness and integrity of business practices, and (iv creation of material and intangible wealth. 50 criteria are used according to international, national or sectoral references. This generic method applicable to any sector of processed food products aims to identify where are the areas of improvement to qualify the sector as socially sustainable. An application to the wine Beaujolais and Burgundy wine was performed from surveys of 35 production and trade operators in 2014. The results show that the sector is particularly effective for the promotion of the territory, local life participation, loyalty and integrity of business practices; some improvement is still possible for the welfare of workers and the creation of material wealth. This method can be coupled with the environmental performance determined by the life cycle analysis in order to assess the sustainability in its entirety.

  2. Traveler oriented traffic performance metrics using real time traffic data from the Midtown-in-Motion (MIM) project in Manhattan, NY.

    Science.gov (United States)

    2013-10-01

    In a congested urban street network the average traffic speed is an inadequate metric for measuring : speed changes that drivers can perceive from changes in traffic control strategies. : A driver oriented metric is needed. Stop frequency distrib...

  3. Performance management in the internal supply chain of an industry of equipment for refrigeration

    Directory of Open Access Journals (Sweden)

    Emílio Della Bruna Junior

    2013-05-01

    Full Text Available Supply chains are complex, conflicting and uncertain management environments, where the best alternatives are usually not previously know, they need to be built based on the managers objectives. For this reason, its decision-makers have been looking for management tools that expand their understanding in order to identify which objectives best represent their values regarding the decision context. With this in mind, this paper aims to develop a Performance Evaluation Model for the operations of the internal supply chain of an organization of the refrigeration equipment sector. The study adopts a mixture of qualitative and quantitative approaches and applies them through a case study. The data collection was conducted through unstructured interviews with the decision-maker as well as specialists appointed by him and supplemented by documentary research. The applied intervention instrument is the Multricriteria Decision Aid – Constructivist (MCDA-C due to its capacity of expanding the knowledge in the decision-maker about the consequences of his decisions on the criteria that he deems critical to the success of the company. One of the results of this research was the identification of the objectives that, according to the decision-maker perception, should drive the alternative definition process, as well as their organization, ordinal and cardinal measurement and integration. In addition, it can be highlighted the current situation diagnosis and elaboration of improvement actions, where the implementation effects of the Lean Philosophy and an Advanced Planning System are evaluated. The main contributions made by the article resides in the proposal of solutions for fulfilling gaps identified within the Supply Chain Performance Evaluation area and in the application of the MCDA-C to a real case.

  4. Assessing “First Mile” Supply Chain Factors Affecting Timeliness of School-Based Deworming Interventions: Supply and Logistics Performance Indicators

    Science.gov (United States)

    Koporc, Kimberly M.; Strunz, Eric; Holloway, Cassandra; Addiss, David G.; Lin, William

    2015-01-01

    Background Between 2007 and 2012, Children Without Worms (CWW) oversaw the Johnson & Johnson (J&J) donation of Vermox (mebendazole) for treatment of school-age children to control soil-transmitted helminthiasis (STH). To identify factors associated with on-time, delayed, or missed mass drug administration (MDA) interventions, and explore possible indicators for supply chain performance for drug donation programs, we reviewed program data for the 14 STH-endemic countries CWW supported during 2007–2012. Methodology Data from drug applications, shipping records, and annual treatment reports were tracked using Microsoft Excel. Qualitative data from interviews with key personnel were used to provide additional context on the causes of delayed or missed MDAs. Four possible contributory factors to delayed or missed MDAs were considered: production, shipping, customs clearance, and miscellaneous in-country issues. Coverage rates were calculated by dividing the number of treatments administered by the number of children targeted during the MDA. Principal Findings Of the approved requests for 78 MDAs, 54 MDAs (69%) were successfully implemented during or before the scheduled month. Ten MDAs (13%) were classified as delayed; seven of these were delayed by one month or less. An additional 14 MDAs (18%) were classified as missed. For the 64 on-time or delayed MDAs, the mean coverage was approximately 88%. Conclusions and Significance To continue to assess the supply chain processes and identify areas for improvement, we identified four indicators or metrics for supply chain performance that can be applied across all neglected tropical disease (NTD) drug donation programs: (1) donor having available inventory to satisfy the country request for donation; (2) donor shipping the approved number of doses; (3) shipment arriving at the Central Medical Stores one month in advance of the scheduled MDA date; and (4) country programs implementing the MDA as scheduled. PMID:26657842

  5. Daylight metrics and energy savings

    Energy Technology Data Exchange (ETDEWEB)

    Mardaljevic, John; Heschong, Lisa; Lee, Eleanor

    2009-12-31

    The drive towards sustainable, low-energy buildings has increased the need for simple, yet accurate methods to evaluate whether a daylit building meets minimum standards for energy and human comfort performance. Current metrics do not account for the temporal and spatial aspects of daylight, nor of occupants comfort or interventions. This paper reviews the historical basis of current compliance methods for achieving daylit buildings, proposes a technical basis for development of better metrics, and provides two case study examples to stimulate dialogue on how metrics can be applied in a practical, real-world context.

  6. Enhancing Supply Chain Performance with Environmental Cost Information: Examples from Commonwealth Edison, Andersen Corporation, and Ashland Chemical

    Science.gov (United States)

    This collection of case studies illustrates how supply chain management practices can be improved by determining the financial impact of business activities that have an impact on a company’s environmental performance.

  7. The Influence of Green Supply Chain Integration on Firm Performance: A Contingency and Configuration Perspective

    Directory of Open Access Journals (Sweden)

    Yongtao Song

    2017-05-01

    Full Text Available This study investigates the impacts of three dimensions of green supply chain integration (GSCI on operational and financial performance, from both a contingency and a configuration perspective. From the contingency perspective, we used hierarchical regression to determine the impacts of individual GSCI dimensions (green internal, customer and supplier integration and their interactions on firm performance. From the configuration perspective, we used cluster analysis to develop patterns of GSCI, which were analyzed in terms of GSCI strength and balance. Analysis of variance was used to examine the relationship between GSCI pattern and firm performance. We used data collected from manufacturing firms in Shanxi, Shandong, Beijing, Guangdong and Jiangsu to test hypotheses. The findings from both the contingency and configuration perspective indicate that GSCI was related to both operational and financial performance. Furthermore, the interaction between green internal integration and green customer integration was positively related to both operational and financial performance, while the interaction between green internal integration and green supplier integration was negatively related to financial performance. The interaction between green customer integration and green supplier integration was positively related to financial performance.

  8. New Algorithm for Evaluating the Green Supply Chain Performance in an Uncertain Environment

    Directory of Open Access Journals (Sweden)

    Pan Liu

    2016-09-01

    Full Text Available An effective green supply chain (GSC can help an enterprise obtain more benefits and reduce costs. Therefore, developing an effective evaluation method for GSC performance evaluation is becoming increasingly important. In this study, the advantages and disadvantages of the current performance evaluations and algorithms for GSC performance evaluations were discussed and evaluated. Based on these findings, an improved five-dimensional balanced scorecard was proposed in which the green performance indicators were revised to facilitate their measurement. A model based on Rough Set theory, the Genetic Algorithm, and the Levenberg Marquardt Back Propagation (LMBP neural network algorithm was proposed. Next, using Matlab, the Rosetta tool, and the practical data of company F, a case study was conducted. The results indicate that the proposed model has a high convergence speed and an accurate prediction ability. The credibility and effectiveness of the proposed model was validated. In comparison with the normal Back Propagation neural network algorithm and the LMBP neural network algorithm, the proposed model has greater credibility and effectiveness. In practice, this method provides a more suitable indicator system and algorithm for enterprises to be able to implement GSC performance evaluations in an uncertain environment. Academically, the proposed method addresses the lack of a theoretical basis for GSC performance evaluation, thus representing a new development in GSC performance evaluation theory.

  9. A study on the effects of inter-organizational factors on the supply chain performance

    Directory of Open Access Journals (Sweden)

    Mohammad Mahdi Parhizgar

    2012-10-01

    Full Text Available In the current competitive environment, managers do their best to convert organizations under their supervision into competitive and responsive through creating capability of timely delivery of quality products and services. In the other word, they try to create value for their customers, which yield more profitability for stakeholders. In line with this, determining of inter-organizational factors and the relationships among these variables and supply chain performance plays an important role in achieving these objectives. The relationship modeling is a type of multiple criteria decision-making (MCDM problem, which requires applying experts to determine the relationships. The Decision Making Trial and Evaluation Laboratory (DEMATEL is an MCDM tool, which not only can convert the relationships among cause and effect criteria into a visual structural framework, but also it can be used as a technique to handle the inner dependences within a set of criteria. This paper proposes an effective solution based on DEMATEL approach to help managers evaluate the relationships between inter-organizational factors and supply chain performance.

  10. Survival As a Quality Metric of Cancer Care: Use of the National Cancer Data Base to Assess Hospital Performance.

    Science.gov (United States)

    Shulman, Lawrence N; Palis, Bryan E; McCabe, Ryan; Mallin, Kathy; Loomis, Ashley; Winchester, David; McKellar, Daniel

    2018-01-01

    Survival is considered an important indicator of the quality of cancer care, but the validity of different methodologies to measure comparative survival rates is less well understood. We explored whether the National Cancer Data Base (NCDB) could serve as a source of unadjusted and risk-adjusted cancer survival data and whether these data could be used as quality indicators for individual hospitals or in the aggregate by hospital type. The NCDB, an aggregate of > 1,500 hospital cancer registries, was queried to analyze unadjusted and risk-adjusted hazards of death for patients with stage III breast cancer (n = 116,787) and stage IIIB or IV non-small-cell lung cancer (n = 252,392). Data were analyzed at the individual hospital level and by hospital type. At the hospital level, after risk adjustment, few hospitals had comparative risk-adjusted survival rates that were statistically better or worse. By hospital type, National Cancer Institute-designated comprehensive cancer centers had risk-adjusted survival ratios that were statistically significantly better than those of academic cancer centers and community hospitals. Using the NCDB as the data source, survival rates for patients with stage III breast cancer and stage IIIB or IV non-small-cell lung cancer were statistically better at National Cancer Institute-designated comprehensive cancer centers when compared with other hospital types. Compared with academic hospitals, risk-adjusted survival was lower in community hospitals. At the individual hospital level, after risk adjustment, few hospitals were shown to have statistically better or worse survival, suggesting that, using NCDB data, survival may not be a good metric to determine relative quality of cancer care at this level.

  11. Metrics of quantum states

    International Nuclear Information System (INIS)

    Ma Zhihao; Chen Jingling

    2011-01-01

    In this work we study metrics of quantum states, which are natural generalizations of the usual trace metric and Bures metric. Some useful properties of the metrics are proved, such as the joint convexity and contractivity under quantum operations. Our result has a potential application in studying the geometry of quantum states as well as the entanglement detection.

  12. Transforming cold chain performance and management in lower-income countries.

    Science.gov (United States)

    Brison, Mike; LeTallec, Yann

    2017-04-19

    In many countries, one of the common factors limiting full and equitable access to effective immunization is the existence of gaps in cold chain and logistics (CCL) systems. This article focuses on the critical contribution that better management of CCL performance can make in addressing these barriers, as well as some essential practices needed to achieve and sustain these gains. These include (i) an emphasis on continuous improvement in CCL performance indicators, (ii) strong coordination and accountability across multiple stakeholders, and (iii) making the most of limited financial resources. This article is informed by the Clinton Health Access Initiative's (CHAI's) experience working with National Immunization Programs (NIPs) and immunization partners to improve the effectiveness and efficiency of CCL systems (including CCE deployment and maintenance, temperature monitoring and control, stock management and distribution) across ten Gavi-supported "focus" countries. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  13. How the reverse supply chain impacts the financial performance of original equipment manufacturers

    DEFF Research Database (Denmark)

    Larsen, Samuel

    This thesis examines the financial impact of a firm’s reverse supply chain (RSC). Specifically, the thesis examines the two questions of how the RSC can contribute to the financial performance of the firm and which factors are decisive for the RSC’s financial contribution. The thesis focuses...... on original equipment manufacturers. The thesis results show that the RSC can contribute to the financial performance of the firm in more than 20 different ways, which the thesis defines as functions of the RSC. Examples of RSC-functions are 1) resale of recovered end-products to price-focused market segments...... in the firm’s primary markets, 2) resale to customers in new markets (in e.g. emerging economies), and 3) sale of used materials back the firm’s original material suppliers. The firm’ RSC can conduct several RSC-functions simultaneously and the financial benefits from operating these RSC-functions differ...

  14. Impact of human resources on wine supply chain flexibility, quality, and economic performance

    Directory of Open Access Journals (Sweden)

    J. L. García-Alcaraz

    2016-09-01

    Full Text Available This article assesses the impact of human resources skills on production quality, flexibility, and economic performance of La Rioja’s wine supply chain. These four elements were integrated as latent variables composed of 15 observed variables and associated through six hypotheses. Data were gathered from 64 wineries located in La Rioja, Spain, and hypotheses were validated in a structural equation model using WarpPLS v.5 software. Results indicate that human resources skills have a positive direct impact on SC flexibility and quality, but not on economic performance; however, these variables are indirectly associated through SC quality and SC flexibility.

  15. Development of Data Envelopment Analysis for the Performance Evaluation of Green Supply Chain with Undesirable Outputs

    Directory of Open Access Journals (Sweden)

    Alireza Alinezhad

    2016-08-01

    Full Text Available A fundamental problem is the use of DEA in multistep or multilevel processes such as supply chain, lack of attention to processes’ internal communications in a way that the recent studies on DEA in the context of serial processes have focused on closed systems that the outputs of one level become the inputs of the next level and none of the inputs enter the mediator process. The present study aimed to examine the general dimensions of an open multilevel process. Here, some of the data such as inputs and outputs are supposed to leave the system while other outputs turn into the inputs of the next level. The new inputs can enter the next level as well. We expand this mode for network structures. The overall performance of such a structure is considered as a weighted average of sectors’ performance or distinct steps. Therefore, this suggested model in this study, not only provides the possibility to evaluate the performance of the entire network, but creates the performance analysis for each of the sub-processes. On the other hand, considering the data with undesirable structure leads to more correct performance estimation. In the real world, all productive processes do not comprise desirable factors. Therefore, presenting a structure that is capable of taking into account the undesirable structure is of crucial importance. In this study, a new model in the DEA by network structure is offered that can analyze the performance considering undesirable factors.

  16. Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management

    Directory of Open Access Journals (Sweden)

    Jing Wang

    2018-05-01

    Full Text Available In the context of the Chinese government’s strategy for sustainable development, the study of sustainable supply chain management (SSCM for enterprises has important practical significance. Drawing data from 172 Chinese firms, the model studied the moderating role of firm size on the SSCM practices and the sustainable performance of the firms (economic, environmental, and social, using hierarchical regression analysis on SPSS 22.0. The results suggest that SSCM practices and firm size are positively related to the firm’s environmental and social performance. Firm size moderates the effect of SSCM practices on economic performance. Additionally, SSCM internal practices have a significant positive impact on the economic performance of large enterprises, but not so much on the economic performance of the Small and medium enterprises(SMEs. This paper proposes a comprehensive SSCM practice performance model that identifies firm size as a moderating role. Through research on the moderating effect of firm size, the implementation and recommendation of SSCM for different firm size are given.

  17. Performance evaluation of railway blocking system based on markov chain and queuing theory

    Science.gov (United States)

    Guo, Jin; Chen, Hongxia; Yang, Yang

    2005-12-01

    Railway blocking system is the system with the high demanding of real-time performance. Firstly, the tasks and the time limits, which had to be handled for the blocking system, were introduced. The FCFS and the Markov chain were used to set the model for it. By analyzing the performance of the system with the FCFS model found out that it was not satisfied to the real-time performance. Secondly, NPPR model to evaluate the software real-time performance of the blocking processor was proposed. By evaluation, analysis and comparison, the results indicate that the NPPR model is prevail over the model of (M/M/1): (N/N/FCFS) in real-time performance. And the priorities of the tasks in the system should be given according to their time limit. With the principle of (M/M/1): (N/N/NPPR), if the priority was given to the tasks properly, the satisfied real-time performance will be gotten. The models were tested in forms software and the satisfied result has been gotten in practice.

  18. The comparative economic performance of investor-owned chain and not-for-profit hospitals.

    Science.gov (United States)

    Watt, J M; Derzon, R A; Renn, S C; Schramm, C J; Hahn, J S; Pillari, G D

    1986-01-09

    We examined the differences in the economic performance of 80 matched pairs of investor-owned chain and not-for-profit hospitals in eight states during 1978 and 1980, and considered how their operating strategies might affect their relative success in a more price-conscious market. We found that total charges (adjusted for case mix) and net revenues per case were both significantly higher in the investor-owned chain hospitals, mainly because of higher charges for ancillary services; there were no significant differences between the two groups of hospitals in regard to patient-care costs per case (adjusted for case mix), but the investor-owned hospitals had significantly higher administrative overhead costs; investor-owned hospitals were more profitable; investor-owned hospitals had fewer employees per occupied bed but paid more per employee; investor-owned hospitals had funded more of their capital through debt and had significantly higher capital costs in proportion to their operating costs; and the two groups did not differ in patient mix, as measured by their Medicare case-mix indexes or the proportions of their patients covered by Medicare or Medicaid. We conclude that investor-owned chain hospitals generated higher profits through more aggressive pricing practices rather than operating efficiencies - a result not unexpected in view of past cost-based reimbursement policies. Recent changes in these policies are creating new pressures for cost control and moderation in charges, to which both types of hospitals must adapt. Neither type has a clear-cut advantage in the ability to make the necessary changes.

  19. The inhibition performance of long-chain alkyl-substituted benzimidazole derivatives for corrosion of mild steel in HCl

    International Nuclear Information System (INIS)

    Zhang, Dongqin; Tang, Yongming; Qi, Sijun; Dong, Dawei; Cang, Hui; Lu, Gang

    2016-01-01

    Highlights: • Inhibition performance of long-chain alkyl-substituted benzimidazole. • Benzimidazole segment donating electrons to metal surface. • Non-polar long chain enhancing inhibition by the barrier effect. • Molecular form of DBI more tightly adsorbs on the steel than its protonated form. - Abstract: The corrosion inhibition of a new benzimidazole derivative, 6-(dodecyloxy)-1H-benzo[d]imidazole (DBI), for mild steel in 1 M HCl was investigated in this paper. Computational chemistry was performed to explore the adsorption of DBI on metal surface. Inhibition performance of DBI is attributed to both the direct interaction of benzimidazole segment with iron surface and the barrier effect of the non-polar long chain against aggressive solution. Compared to the protonated form, the molecular form of DBI could more tightly interact with iron surface. These results show that the long-chain alkyl-substituted benzimidazole derivative is of great potential application as corrosion inhibitor.

  20. $\\eta$-metric structures

    OpenAIRE

    Gaba, Yaé Ulrich

    2017-01-01

    In this paper, we discuss recent results about generalized metric spaces and fixed point theory. We introduce the notion of $\\eta$-cone metric spaces, give some topological properties and prove some fixed point theorems for contractive type maps on these spaces. In particular we show that theses $\\eta$-cone metric spaces are natural generalizations of both cone metric spaces and metric type spaces.

  1. Contribution to a quantitative assessment model for reliability-based metrics of electronic and programmable safety-related functions; Contribution a un modele d'evaluation quantitative des performances fiabilistes de fonctions electroniques et programmables dediees a la securite

    Energy Technology Data Exchange (ETDEWEB)

    Hamidi, K

    2005-10-15

    The use of fault-tolerant EP architectures has induced growing constraints, whose influence on reliability-based performance metrics is no more negligible. To face up the growing influence of simultaneous failure, this thesis proposes, for safety-related functions, a new-trend assessment method of reliability, based on a better taking into account of time-aspect. This report introduces the concept of information and uses it to interpret the failure modes of safety-related function as the direct result of the initiation and propagation of erroneous information until the actuator-level. The main idea is to distinguish the apparition and disappearance of erroneous states, which could be defined as intrinsically dependent of HW-characteristic and maintenance policies, and their possible activation, constrained through architectural choices, leading to the failure of safety-related function. This approach is based on a low level on deterministic SED models of the architecture and use non homogeneous Markov chains to depict the time-evolution of probabilities of errors. (author)

  2. Contribution to a quantitative assessment model for reliability-based metrics of electronic and programmable safety-related functions; Contribution a un modele d'evaluation quantitative des performances fiabilistes de fonctions electroniques et programmables dediees a la securite

    Energy Technology Data Exchange (ETDEWEB)

    Hamidi, K

    2005-10-15

    The use of fault-tolerant EP architectures has induced growing constraints, whose influence on reliability-based performance metrics is no more negligible. To face up the growing influence of simultaneous failure, this thesis proposes, for safety-related functions, a new-trend assessment method of reliability, based on a better taking into account of time-aspect. This report introduces the concept of information and uses it to interpret the failure modes of safety-related function as the direct result of the initiation and propagation of erroneous information until the actuator-level. The main idea is to distinguish the apparition and disappearance of erroneous states, which could be defined as intrinsically dependent of HW-characteristic and maintenance policies, and their possible activation, constrained through architectural choices, leading to the failure of safety-related function. This approach is based on a low level on deterministic SED models of the architecture and use non homogeneous Markov chains to depict the time-evolution of probabilities of errors. (author)

  3. Supply chain practices, performance and organizational configuration in the Mexican avocado industry

    NARCIS (Netherlands)

    Arana Coronado, J.J.

    2010-01-01

    Recent changes in agrifood supply chains, such as the need for quality improvement and control, enhanced information exchange, and increased customer responsiveness, have made the introduction of Supply Chain Practices (SCPs) essential. Adopting practices such as product standardization, supplier

  4. Rapid determination of human globin chains using reversed-phase high-performance liquid chromatography.

    Science.gov (United States)

    Wan, Jun-Hui; Tian, Pei-Ling; Luo, Wei-Hao; Wu, Bing-Yi; Xiong, Fu; Zhou, Wan-Jun; Wei, Xiang-Cai; Xu, Xiang-Min

    2012-07-15

    Reversed-phase high-performance liquid chromatography (RP-HPLC) of human globin chains is an important tool for detecting thalassemias and hemoglobin variants. The challenges of this method that limit its clinical application are a long analytical time and complex sample preparation. The aim of this study was to establish a simple, rapid and high-resolution RP-HPLC method for the separation of globin chains in human blood. Red blood cells from newborns and adults were diluted in deionized water and injected directly onto a micro-jupiter C18 reversed-phase column (250 mm × 4.6 mm) with UV detection at 280 nm. Under the conditions of varying pH or the HPLC gradient, the globin chains (pre-β, β, δ, α, (G)γ and (A)γ) were denatured and separated from the heme groups in 12 min with a retention time coefficient of variation (CV) ranging from 0.11 to 1.29% and a peak area CV between 0.32% and 4.86%. Significant differences (P<0.05) among three groups (normal, Hb H and β thalassemia) were found in the area ratio of α/pre-β+β applying the rapid elution procedure, while P≥0.05 was obtained between the normal and α thalassemia silent/trait group. Based on the ANOVA results, receiver operating characteristic (ROC) curve analysis of the δ/β and α/pre-β+β area ratios showed a sensitivity of 100.0%, and a specificity of 100.0% for indicating β thalassemia carriers, and a sensitivity of 96.6% and a specificity of 89.6% for the prediction of hemoglobin H (Hb H) disease. The proposed cut-off was 0.026 of δ/β for β thalassemia carriers and 0.626 of α/pre-β+β for Hb H disease. In addition, abnormal hemoglobin hemoglobin E (Hb E) and Hb Westmead (Hb WS) were successfully identified using this RP-HPLC method. Our experience in developing this RP-HPLC method for the rapid separation of human globin chains could be of use for similar work. Copyright © 2012 Elsevier B.V. All rights reserved.

  5. Model for Determining the Optimum Location for Performance Improvement in Supply-Chain Strategies

    Directory of Open Access Journals (Sweden)

    Ramona Iulia ȚARȚAVULEA (DIEACONESCU

    2015-06-01

    Full Text Available The economic crisis which started in 2007 has caused damaging effects to most international companies. In several EU countries, foreign investments decreased and international companies closed or relocated production and/or distribution centres, due to cost reduction measures. This paper is aiming to demonstrate that applying a performant solution in defining the supply chain strategy can be a low cost process, which can generate positive effects on the sales and revenues. The research objective is to present a concrete solution for redesigning the supply chain, in order to achieve the optimal delivery strategy. The solution implies the use of mathematic methods, for determining the optimum location for placing a central warehouse, in a geographic region. The use of an optimum delivery strategy leads to lower depositing and transport costs, which generates positive effects on sales, by offering more competitive prices on products. The main contribution of the author is the development of a model, used to identify the optimal location for placing a central warehouse.

  6. Ocean container transport : an underestimated and critical link in global supply chain performance

    NARCIS (Netherlands)

    Fransoo, J.C.; Lee, C.Y.

    2010-01-01

    With supply chains distributed across global markets, ocean container transport now is a critical element of any such supply chain. We identify key characteristics of ocean container transport from a supply chain perspective. We find that unlike continental (road) transport, service offerings tend

  7. An Integrated-Empirical Logistics Perspective on Supply Chain Innovation and Firm Performance

    OpenAIRE

    Santanu Mandal

    2015-01-01

    Supply chains need to innovate constantly for maintaining their position in the marketplace and also to fight uncertainties. Hence firms are focusing on strategies for developing supply chain innovation. The current investigation adds to this emerging regime through investigating the influence of logistics capabilities viz. demand management capability, supply management capability, information management capability and coordination capability on supply chain innovation through logistics inte...

  8. The critical role of ocean container transport in global supply chain performance

    NARCIS (Netherlands)

    Fransoo, J.C.; Lee, C.Y.

    2013-01-01

    With supply chains distributed across global markets, ocean container transport now is a critical element of any such supply chain. We identify key characteristics of ocean container transport from a supply chain perspective. We find that unlike continental (road) transport, service offerings tend

  9. Assessment of Performance Measures for Security of the Maritime Transportation Network. Port Security Metrics: Proposed Measurement of Deterrence Capability

    National Research Council Canada - National Science Library

    Hoaglund, Robert; Gazda, Walter

    2007-01-01

    The goal of this analysis is to provide ASCO and its customers with a comprehensive approach to the development of quantitative performance measures to assess security improvements to the port system...

  10. On the use of LDA performance as a metric of feature extraction methods for a P300 BCI classification task

    International Nuclear Information System (INIS)

    Gareis, Iván; Atum, Yanina; Gentiletti, Gerardo; Acevedo, Rubén; Bañuelos, Verónica Medina; Rufiner, Leonardo

    2011-01-01

    Brain computer interfaces (BCIs) translate brain activity into computer commands. To enhance the performance of a BCI, it is necessary to improve the feature extraction techniques being applied to decode the users' intentions. Objective comparison methods are needed to analyze different feature extraction techniques. One possibility is to use the classifier performance as a comparative measure. In this work the effect of several variables that affect the behaviour of linear discriminant analysis (LDA) has been studied when used to distinguish between electroencephalographic signals with and without the presence of event related potentials (ERPs). The error rate (ER) and the area under the receiver operating characteristic curve (AUC) were used as performance estimators of LDA. The results show that the number of characteristics, the degree of balance of the training patterns set and the number of averaged trials affect the classifier's performance and therefore, must be considered in the design of the integrated system.

  11. A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance.

    Science.gov (United States)

    Mumtaz, Ubaidullah; Ali, Yousaf; Petrillo, Antonella

    2018-05-15

    The increase in the environmental pollution is one of the most important topic in today's world. In this context, the industrial activities can pose a significant threat to the environment. To manage problems associate to industrial activities several methods, techniques and approaches have been developed. Green supply chain management (GSCM) is considered one of the most important "environmental management approach". In developing countries such as Pakistan the implementation of GSCM practices is still in its initial stages. Lack of knowledge about its effects on economic performance is the reason because of industries fear to implement these practices. The aim of this research is to perceive the effects of GSCM practices on organizational performance in Pakistan. In this research the GSCM practices considered are: internal practices, external practices, investment recovery and eco-design. While, the performance parameters considered are: environmental pollution, operational cost and organizational flexibility. A set of hypothesis propose the effect of each GSCM practice on the performance parameters. Factor analysis and linear regression are used to analyze the survey data of Pakistani industries, in order to authenticate these hypotheses. The findings of this research indicate a decrease in environmental pollution and operational cost with the implementation of GSCM practices, whereas organizational flexibility has not improved for Pakistani industries. These results aim to help managers regarding their decision of implementing GSCM practices in the industrial sector of Pakistan. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. Considerations on the Assessment and Use of Cycling Performance Metrics and their Integration in the Athlete's Biological Passport

    Directory of Open Access Journals (Sweden)

    Paolo Menaspà

    2017-11-01

    Full Text Available Over the past few decades the possibility to capture real-time data from road cyclists has drastically improved. Given the increasing pressure for improved transparency and openness, there has been an increase in publication of cyclists' physiological and performance data. Recently, it has been suggested that the use of such performance biometrics may be used to strengthen the sensitivity and applicability of the Athlete Biological Passport (ABP and aid in the fight against doping. This is an interesting concept which has merit, although there are several important factors that need to be considered. These factors include accuracy of the data collected and validity (and reliability of the subsequent performance modeling. In order to guarantee high quality standards, the implementation of well-structured Quality-Systems within sporting organizations should be considered, and external certifications may be required. Various modeling techniques have been developed, many of which are based on fundamental intensity/time relationships. These models have increased our understanding of performance but are currently limited in their application, for example due to the largely unaccounted effects of environmental factors such as, heat and altitude. In conclusion, in order to use power data as a performance biometric to be integrated in the biological passport, a number of actions must be taken to ensure accuracy of the data and better understand road cycling performance in the field. This article aims to outline considerations in the quantification of cycling performance, also presenting an alternative method (i.e., monitoring race results to allow for determination of unusual performance improvements.

  13. An investigation on the effects of supply chain management on improvement of firms’ financial performance

    Directory of Open Access Journals (Sweden)

    Mohammad Mokhtari

    2014-04-01

    Full Text Available Supply chain management plays essential role on improvement of the efficiency of production systems. It helps firms meet their expectations, deliver their products on time and build a good brand. This paper performs an empirical investigation to study the effect of good relationships among various suppliers on financial figures in an Iranian automaker. The proposed study investigates the effects of seven variables including communication, cooperation, commitment, compatibility, organization climate, dependency and trust on two financial figures including return on assets and return on equities. Using structural equation modeling, the study detects that communication, dependency and trust influence positively on return on assets. In addition, communication, cooperation, trust and commitment have positive impact on return on equities.

  14. Improving environmental performance of post-harvest supply chains of fruits and vegetables in Europe: Potential contribution from ultrasonic humidification

    DEFF Research Database (Denmark)

    Fabbri, Serena; Olsen, Stig Irving; Owsianiak, Mikołaj

    2018-01-01

    Post-harvest losses of fruits and vegetables during refrigerated storage, transportation and retail are an important contributor to total environmental impacts of food supply chains in Europe. Ultrasonic humidification can reduce these post-harvest losses, but it is currently unknown whether...... that humidification may be an attractive technology for making supply chain management more sustainable....... implementing the technology in practice improves the environmental performance of the supply chains. Here, using life cycle assessment we showed that ultrasonic humidification has the potential to reduce environmental impacts, including climate change impacts, of selected fruits and vegetables in Europe by up...

  15. The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique

    Directory of Open Access Journals (Sweden)

    Daryosh Mohamadi Janaki

    2018-08-01

    Full Text Available Information Technology (IT plays an essential role on development of effective supply chain planning and it can improve the supply chain performance, either directly or indirectly. As a national industry, the National Iranian Oil Products Distribution Company involves a large number of organizations within its supply chain. Therefore, this descriptive-survey uses information sharing indicators, fuzzy TOPSIS technique based on managers and expert opinions to evaluate and to rank some oil products distribution companies. Data are analyzed and the results show that Oil Products Distribution Company of Chaharmahal and Bakhtiari received the highest rank and Farsan maintained the lowest rank compared with other regional companies.

  16. Supply chain value creation methodology under BSC approach

    Science.gov (United States)

    Golrizgashti, Seyedehfatemeh

    2014-06-01

    The objective of this paper is proposing a developed balanced scorecard approach to measure supply chain performance with the aim of creating more value in manufacturing and business operations. The most important metrics have been selected based on experts' opinion acquired by in-depth interviews focused on creating more value for stakeholders. Using factor analysis method, a survey research has been used to categorize selected metrics into balanced scorecard perspectives. The result identifies the intensity of correlation between perspectives and cause-and-effect chains among them using statistical method based on a real case study in home appliance manufacturing industries.

  17. Minor amounts of plasma medium-chain fatty acids and no improved time trial performance after consuming lipids

    DEFF Research Database (Denmark)

    Vistisen, Bodil; Nybo, L.; Xu, Xuebing

    2003-01-01

    after consumption of specific structured triacylglycerol, consisting of a mixture of medium-chain fatty acids and long-chain fatty acids, to prevent the adverse effects observed by MCT (pure medium-chain fatty acids) regarding gastrointestinal distress. Seven well-trained subjects cycled 3 h at 55......% of maximum 02 uptake during which they ingested CHO or CHO plus specific structured triacylglycerols. Immediately after the constant-load cycling, the subjects performed a time trial of similar to50-min duration. Breath and blood samples were obtained regularly during the experiment. Fatty acid composition...... of plasma triacylglycerols, fatty acids, and phospholipids was determined. Performance was similar after administration of CHO plus specific structured triacylglycerol [medium-, long-, and medium-chain fatty acid (MLM)] compared with CHO (50.0 +/- 1.8 and 50.8 +/- 3.6 min, respectively). No plasma 8...

  18. The Impact of Information System-Enabled Supply Chain Process Integration on Business Performance: A Resource-Based Analysis

    OpenAIRE

    Morteza Ghobakhloo; Sai Hong Tang; Mohammad Sadegh Sabouri; Norzima Zulkifli

    2014-01-01

    This paper seeks to develop and test a model to examine the relationships between, technical aspects of IS resources (IS alignment, IS resources technical quality, IS advancement), supply chain process integration, and firm performance. A questionnaire-based survey was conducted to collect data from 227 supply chain, logistics, or procurement/purchasing managers of leading manufacturing and retail organizations. Drawing on resources-based view of the firm, and through extending the concept of...

  19. A GM (1, 1) Markov Chain-Based Aeroengine Performance Degradation Forecast Approach Using Exhaust Gas Temperature

    OpenAIRE

    Zhao, Ning-bo; Yang, Jia-long; Li, Shu-ying; Sun, Yue-wu

    2014-01-01

    Performance degradation forecast technology for quantitatively assessing degradation states of aeroengine using exhaust gas temperature is an important technology in the aeroengine health management. In this paper, a GM (1, 1) Markov chain-based approach is introduced to forecast exhaust gas temperature by taking the advantages of GM (1, 1) model in time series and the advantages of Markov chain model in dealing with highly nonlinear and stochastic data caused by uncertain factors. In this ap...

  20. The Integrated Approach for Sustainable Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry

    Directory of Open Access Journals (Sweden)

    Thi-Nham Le

    2017-03-01

    Full Text Available The impressive growth of the Vietnam textile and apparel industry has led to some concerns due to its insufficient value chain and fierce competition within the industry. Thus, performance evaluation is significant issue to estimate the values of companies over time. Firstly, the grey prediction is used to forecast future data for 20 largest enterprises in six years (2016–2021 based on actual indicators. Then, the paper uses Malmquist productivity index and its decomposition into efficiency and technical change to measure the past productivity growth. Finally, window analysis is applied to significantly detect the trends of performance in 12 years (2010–2021 from large number of inputs and outputs. The results are found that how technology changes is the determinant for productivity growth and undeveloped technology causes a huge barrier to industry. In addition, the results are illustrated that textile companies are predicted to be more stable due to the importance of supplying materials for the entire industry. This paper aims to prove in-depth analysis can be conducted through combined models and also provide some recommendations for enhancing the sustainability performance of the industry.

  1. Markov chain-based mass estimation method for loose part monitoring system and its performance

    Directory of Open Access Journals (Sweden)

    Sung-Hwan Shin

    2017-10-01

    Full Text Available A loose part monitoring system is used to identify unexpected loose parts in a nuclear reactor vessel or steam generator. It is still necessary for the mass estimation of loose parts, one function of a loose part monitoring system, to develop a new method due to the high estimation error of conventional methods such as Hertz's impact theory and the frequency ratio method. The purpose of this study is to propose a mass estimation method using a Markov decision process and compare its performance with a method using an artificial neural network model proposed in a previous study. First, how to extract feature vectors using discrete cosine transform was explained. Second, Markov chains were designed with codebooks obtained from the feature vector. A 1/8-scaled mockup of the reactor vessel for OPR1000 was employed, and all used signals were obtained by impacting its surface with several solid spherical masses. Next, the performance of mass estimation by the proposed Markov model was compared with that of the artificial neural network model. Finally, it was investigated that the proposed Markov model had matching error below 20% in mass estimation. That was a similar performance to the method using an artificial neural network model and considerably improved in comparison with the conventional methods.

  2. Modeling and performance analysis of a closed-loop supply chain using first-order hybrid Petri nets

    Directory of Open Access Journals (Sweden)

    Imane Outmal

    2016-05-01

    Full Text Available Green or closed-loop supply chain had been the focus of many manufacturers during the last decade. The application of closed-loop supply chain in today’s manufacturing is not only due to growing environmental concerns and the recognition of its benefits in reducing greenhouse gas emissions, energy consumption, and meeting a more strict environmental regulations but it also offers economic competitive advantages if appropriately managed. First-order hybrid Petri nets represent a powerful graphical and mathematical formalism to map and analyze the dynamics of complex systems such as closed-loop supply chain networks. This article aims at illustrating the use of first-order hybrid Petri nets to model a closed-loop supply chain network and evaluate its operational, financial, and environmental performance measures under different management policies. Actual data from auto manufacturer in the United States are used to validate network’s performance under both tactical and strategic decision-making, namely, (1 tactical decision—production policies: increase of recovered versus new components and (2 strategic decision—closed-loop supply chain network structure: manufacturer internal recovery process or recovery process done by a third-party collection and recovery center. The work presented in this article is an extension of the use of first-order hybrid Petri nets as a modeling and performance analysis tool from supply chain to closed-loop supply chain. The modularity property of first-order hybrid Petri nets has been used in the modeling process, and the simulation and analysis of the modeled network are done in MATLAB® environment. The results of the experiments depict that first-order hybrid Petri nets are a powerful modeling and analysis formalism for closed-loop supply chain networks and can be further used as an efficient decision-making tool at both tactical and strategic levels. Unlike other researches on modeling supply chain

  3. A framework for operationalization of strategic plans and metrics for corporate performance measurement in transportation asset management

    Science.gov (United States)

    Mteri, Hassan H.

    This thesis investigated the business processes required to translate corporate-level strategic plans into tactical and operational plans in the context of transportation asset management. The study also developed a framework for effective performance measure for departments of transportation. The thesis was based on a case study of transportation agencies in the U.S.A. and Canada. The scope is therefore limited or more directly applicable to transportation assets such as pavement, bridges and culverts. The goal was to address the problem of translating or managing strategic plans, especially in the context of the public sector responsible for operating transportation infrastructure. It was observed that many agencies have been successful in formulating good strategic plans but they have performed relatively poorly in translating such corporate-level strategic plans into operational activities. A questionnaire survey was designed and targeted about 30 state agencies that are currently active in transportation asset management. Twenty one (21) transportation agencies in the USA and Canada responded to the questionnaire. The analysis of the questionnaire data showed that there is a lack of a standard approach to managing corporate strategic plans in transportation agencies. The results also indicated that most transportation agencies operate in three organizational levels but there was no systematic approach of translating goal and objectives from high level to lower levels. Approaches in performance measurement were found to vary from agency to agency. A number of limitations were identified in the existing practice on performance measurements. Key weaknesses include the large number of measures in use (as many as 25 or more), and the disconnection between the measures used and the corporate goals and objectives. Lessons from the private sector were thoroughly reviewed in order to build the groundwork for adapting existing tools to the public sector. The existing

  4. Accessible triple-phase boundary length: A performance metric to account for transport pathways in heterogeneous electrochemical materials

    Science.gov (United States)

    Nakajo, A.; Cocco, A. P.; DeGostin, M. B.; Peracchio, A. A.; Cassenti, B. N.; Cantoni, M.; Van herle, J.; Chiu, W. K. S.

    2016-09-01

    The performance of materials for electrochemical energy conversion and storage depends upon the number of electrocatalytic sites available for reaction and their accessibility by the transport of reactants and products. For solid oxide fuel/electrolysis cell materials, standard 3-D measurements such as connected triple-phase boundary (TPB) length and effective transport properties partially inform on how local geometry and network topology causes variability in TPB accessibility. A new measurement, the accessible TPB, is proposed to quantify these effects in detail and characterize material performance. The approach probes the reticulated pathways to each TPB using an analytical electrochemical fin model applied to a 3-D discrete representation of the heterogeneous structure provided by skeleton-based partitioning. The method is tested on artificial and real structures imaged by 3-D x-ray and electron microscopy. The accessible TPB is not uniform and the pattern varies depending upon the structure. Connected TPBs can be even passivated. The sensitivity to manipulations of the local 3-D geometry and topology that standard measurements cannot capture is demonstrated. The clear presence of preferential pathways showcases a non-uniform utilization of the 3-D structure that potentially affects the performance and the resilience to alterations due to degradation phenomena. The concepts presented also apply to electrochemical energy storage and conversion devices such as other types of fuel cells, electrolyzers, batteries and capacitors.

  5. The economical and environmental performance of miscanthus and switchgrass production and supply chains in a European setting

    NARCIS (Netherlands)

    Smeets, E.M.W.; Lewandowski, I.M.; Faaij, A.P.C.

    2009-01-01

    The purpose of this study is to analyse the economical and environmental performance of switchgrass and miscanthus production and supply chains in the European Union (EU25), for the years 2004 and 2030. The environmental performance refers to the greenhouse gas (GHG) emissions, the primary fossil

  6. Evaluating Laboratory Performance on Point-of-Care Glucose Testing with Six Sigma Metric for 151 Institutions in China.

    Science.gov (United States)

    Fei, Yang; Wang, Wei; He, Falin; Zhong, Kun; Wang, Zhiguo

    2015-10-01

    The aim of this study was to use Six Sigma(SM) (Motorola Trademark Holdings, Libertyville, IL) techniques to analyze the quality of point-of-care (POC) glucose testing measurements quantitatively and to provide suggestions for improvement. In total, 151 laboratories in China were included in this investigation in 2014. Bias and coefficient of variation were collected from an external quality assessment and an internal quality control program, respectively, for POC glucose testing organized by the National Center for Clinical Laboratories. The σ values and the Quality Goal Index were used to evaluate the performance of POC glucose meters. There were 27, 30, 57, and 37 participants in the groups using Optium Xceed™ (Abbott Diabetes Care, Alameda, CA), Accu-Chek(®) Performa (Roche, Basel, Switzerland), One Touch Ultra(®) (Abbott), and "other" meters, respectively. The median of the absolute value of percentage difference varied among different lots and different groups. Among all the groups, the Abbott One Touch Ultra group had the smallest median of absolute value of percentage difference except for lot 201411, whereas the "other" group had the largest median in all five lots. More than 85% of participate laboratories satisfied the total allowable error (TEa) requirement in International Organization for Standardization standard 15197:2013, and 85.43% (129/151) of laboratories obtained intralaboratory coefficient of variations less than 1/3TEa. However, Six Sigma techniques suggested that 41.72% (63/151) to 65.56% (99/151) of the laboratories needed to improve their POC glucose testing performance, in either precision, trueness, or both. Laboratories should pay more attention on the practice of POC glucose testing and take actions to improve their performance. Only in this way can POC glucose testing really function well in clinical practice.

  7. Preparative isolation by high performance liquid chromatography of human insulin B chain produced in escherichia coli

    Energy Technology Data Exchange (ETDEWEB)

    Cruz, N.; Antonio, S.; De Anda, R.; Gosset, G.; Bolivar, F. (Centro de Investigacion sobre Ingenieria Genetica y Biotecnologia, Universidad Nacional Autonoma de Mexico, Apdo. Postal 510-3 Cuernavaca, Mor. 62271 (MX))

    1990-01-01

    This paper reports on a simple method developed for the analytical and preparative purification of human insulin B chain from recombinant origin. Three solvent systems: acetonitrile, isopropanol and methanol, were studied to determine their capacity to resolve the insulin B chain from a mixture of cyanogen bromide generated bacterial peptides. Using a {mu}Bondapak C18 column, it was possible to resolve the insulin B chain in all three systems. On a preparative scale, using a PrePak 500 C18 column with the isopropanol system, it was possible to purify insulin B chain and to obtain a 95% protein recovery.

  8. Inter-rater Reliability for Metrics Scored in a Binary Fashion-Performance Assessment for an Arthroscopic Bankart Repair.

    Science.gov (United States)

    Gallagher, Anthony G; Ryu, Richard K N; Pedowitz, Robert A; Henn, Patrick; Angelo, Richard L

    2018-05-02

    To determine the inter-rater reliability (IRR) of a procedure-specific checklist scored in a binary fashion for the evaluation of surgical skill and whether it meets a minimum level of agreement (≥0.8 between 2 raters) required for high-stakes assessment. In a prospective randomized and blinded fashion, and after detailed assessment training, 10 Arthroscopy Association of North America Master/Associate Master faculty arthroscopic surgeons (in 5 pairs) with an average of 21 years of surgical experience assessed the video-recorded 3-anchor arthroscopic Bankart repair performance of 44 postgraduate year 4 or 5 residents from 21 Accreditation Council for Graduate Medical Education orthopaedic residency training programs from across the United States. No paired scores of resident surgeon performance evaluated by the 5 teams of faculty assessors dropped below the 0.8 IRR level (mean = 0.93; range 0.84-0.99; standard deviation = 0.035). A comparison between the 5 assessor groups with 1 factor analysis of variance showed that there was no significant difference between the groups (P = .205). Pearson's product-moment correlation coefficient revealed a strong and statistically significant negative correlation, that is, -0.856 (P fashion meet the need and can show a high (>80%) IRR. Copyright © 2018 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

  9. Economic and Environmental Performance of Fashion Supply Chain: The Joint Effect of Power Structure and Sustainable Investment

    Directory of Open Access Journals (Sweden)

    Xiutian Shi

    2017-06-01

    Full Text Available Fashion supply chain members now search for trade-offs between sustainable investment and the related incentives, such as savings on environmental taxes and gains in incremental demands. To evaluate the economic and environmental performance of sustainable investment from a power perspective, we develop an analytical model to study a two-echelon sustainable supply chain consisting of one retailer and one manufacturer with three different power structures. We derive the optimal solutions for various cases associated with different supply chain power structures and sustainable investors. Though it is beneficial for both the manufacturer and retailer to make sustainable investment, they often utilize high power to gain economic benefit with less sustainable investment. Interestingly, the follower with less supply chain power has more incentive to make a sustainable effort to achieve a higher profit. The optimal amount of sustainable investment in the apparel manufacturer investment case is greater than that in the retailer investment case in most scenarios.

  10. Facile synthesis of main-chain degradable block copolymers for performance enhanced dismantlable adhesion.

    Science.gov (United States)

    Sato, Eriko; Hagihara, Takashi; Matsumoto, Akikazu

    2012-04-01

    Block copolymers consisting of readily degradable polyperoxides and non-degradable vinyl polymers as the block segments were successfully synthesized by reversible chain transfer catalyzed polymerization, which is one of living radical polymerization techniques. The block copolymers showed characteristic morphology and wettability being different from the polymer blends. When block copolymers containing polyperoxide and polymethacrylate blocks were heated below 150 °C, the polyperoxide blocks were completely degraded and the polymethacrylate blocks were recovered without degradation. Block copolymers containing a poly(2-ethylhexyl methacrylate) block were then investigated as a dismantlable adhesion material, which requires adequate bonding strength during use and easy debonding on demand. Among the several block copolymers, the one consisting of poly(2-ethylhexyl methacrylate) and polyperoxide from methyl sorbate (PPMS) (M(n) = 4900) exhibited good performance as a pressure-sensitive adhesive (PSA). After heating the test specimens in a temperature range from 60 to 100 °C, PSA performance, which was evaluated by 180° peel strength and shear holding power measurements, was significantly diminished. Especially, after heating at 100 °C for 1 h, spontaneous debonding of some test specimens was observed because of the evolution of volatile acetaldehyde from PPMS.

  11. Alternative oxidase: a respiratory electron transport chain pathway essential for maintaining photosynthetic performance during drought stress.

    Science.gov (United States)

    Vanlerberghe, Greg C; Martyn, Greg D; Dahal, Keshav

    2016-07-01

    Photosynthesis and respiration are the hubs of energy metabolism in plants. Drought strongly perturbs photosynthesis as a result of both diffusive limitations resulting from stomatal closure, and in some cases biochemical limitations that are associated with a reduced abundance of key photosynthetic components. The effects of drought on respiration, particularly respiration in the light (RL ), are less understood. The plant mitochondrial electron transport chain includes a non-energy conserving terminal oxidase called alternative oxidase (AOX). Several studies have shown that drought increases AOX transcript, protein and maximum capacity. Here we review recent studies comparing wild-type (WT) tobacco to transgenic lines with altered AOX protein amount. Specifically during drought, RL was compromised in AOX knockdown plants and enhanced in AOX overexpression plants, compared with WT. Significantly, these differences in RL were accompanied by dramatic differences in photosynthetic performance. Knockdown of AOX increased the susceptibility of photosynthesis to drought-induced biochemical limitations, while overexpression of AOX delayed the development of such biochemical limitations, compared with WT. Overall, the results indicate that AOX is essential to maintaining RL during drought, and that this non-energy conserving respiration maintains photosynthesis during drought by promoting energy balance in the chloroplast. This review also outlines several areas for future research, including the possibility that enhancement of non-energy conserving respiratory electron sinks may be a useful biotechnological approach to increase plant performance during stress. © 2016 Scandinavian Plant Physiology Society.

  12. Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

    Energy Technology Data Exchange (ETDEWEB)

    Price, Phillip N.; Granderson, Jessica; Sohn, Michael; Addy, Nathan; Jump, David

    2013-09-01

    whose savings can be calculated with least error? 4. What is the state of public domain models, that is, how well do they perform, and what are the associated implications for whole-building measurement and verification (M&V)? Additional project objectives that were addressed as part of this study include: (1) clarification of the use cases and conditions for baseline modeling performance metrics, benchmarks and evaluation criteria, (2) providing guidance for determining customer suitability for baseline modeling, (3) describing the portfolio level effects of baseline model estimation errors, (4) informing PG&E’s development of EMIS technology product specifications, and (5) providing the analytical foundation for future studies about baseline modeling and saving effects of EMIS technologies. A final objective of this project was to demonstrate the application of the methodology, performance metrics, and test protocols with participating EMIS product vendors.

  13. The Fundamentals of Laparoscopic Surgery and LapVR evaluation metrics may not correlate with operative performance in a novice cohort

    Science.gov (United States)

    Steigerwald, Sarah N.; Park, Jason; Hardy, Krista M.; Gillman, Lawrence; Vergis, Ashley S.

    2015-01-01

    Background Considerable resources have been invested in both low- and high-fidelity simulators in surgical training. The purpose of this study was to investigate if the Fundamentals of Laparoscopic Surgery (FLS, low-fidelity box trainer) and LapVR (high-fidelity virtual reality) training systems correlate with operative performance on the Global Operative Assessment of Laparoscopic Skills (GOALS) global rating scale using a porcine cholecystectomy model in a novice surgical group with minimal laparoscopic experience. Methods Fourteen postgraduate year 1 surgical residents with minimal laparoscopic experience performed tasks from the FLS program and the LapVR simulator as well as a live porcine laparoscopic cholecystectomy. Performance was evaluated using standardized FLS metrics, automatic computer evaluations, and a validated global rating scale. Results Overall, FLS score did not show an association with GOALS global rating scale score on the porcine cholecystectomy. None of the five LapVR task scores were significantly associated with GOALS score on the porcine cholecystectomy. Conclusions Neither the low-fidelity box trainer or the high-fidelity virtual simulator demonstrated significant correlation with GOALS operative scores. These findings offer caution against the use of these modalities for brief assessments of novice surgical trainees, especially for predictive or selection purposes. PMID:26641071

  14. The Fundamentals of Laparoscopic Surgery and LapVR evaluation metrics may not correlate with operative performance in a novice cohort

    Directory of Open Access Journals (Sweden)

    Sarah N. Steigerwald

    2015-12-01

    Full Text Available Background: Considerable resources have been invested in both low- and high-fidelity simulators in surgical training. The purpose of this study was to investigate if the Fundamentals of Laparoscopic Surgery (FLS, low-fidelity box trainer and LapVR (high-fidelity virtual reality training systems correlate with operative performance on the Global Operative Assessment of Laparoscopic Skills (GOALS global rating scale using a porcine cholecystectomy model in a novice surgical group with minimal laparoscopic experience. Methods: Fourteen postgraduate year 1 surgical residents with minimal laparoscopic experience performed tasks from the FLS program and the LapVR simulator as well as a live porcine laparoscopic cholecystectomy. Performance was evaluated using standardized FLS metrics, automatic computer evaluations, and a validated global rating scale. Results: Overall, FLS score did not show an association with GOALS global rating scale score on the porcine cholecystectomy. None of the five LapVR task scores were significantly associated with GOALS score on the porcine cholecystectomy. Conclusions: Neither the low-fidelity box trainer or the high-fidelity virtual simulator demonstrated significant correlation with GOALS operative scores. These findings offer caution against the use of these modalities for brief assessments of novice surgical trainees, especially for predictive or selection purposes.

  15. Attention-deficit/hyperactivity disorder and phonological working memory: Methodological variability affects clinical and experimental performance metrics.

    Science.gov (United States)

    Tarle, Stephanie J; Alderson, R Matt; Patros, Connor H G; Lea, Sarah E; Hudec, Kristen L; Arrington, Elaine F

    2017-05-01

    Despite promising findings in extant research that suggest impaired working memory (WM) serves as a central neurocognitive deficit or candidate endophenotype of attention-deficit/hyperactivity disorder (ADHD), findings from translational research have been relatively underwhelming. This study aimed to explicate previous equivocal findings by systematically examining the effect of methodological variability on WM performance estimates across experimental and clinical WM measures. Age-matched boys (ages 8-12 years) with (n = 20) and without (n = 20) ADHD completed 1 experimental (phonological) and 2 clinical (digit span, letter-number sequencing) WM measures. The use of partial scoring procedures, administration of greater trial numbers, and high central executive demands yielded moderate-to-large between-groups effect sizes. Moreover, the combination of these best-case procedures, compared to worst-case procedures (i.e., absolute scoring, administration of few trials, use of discontinue rules, and low central executive demands), resulted in a 12.5% increase in correct group classification. Collectively, these findings explain inconsistent ADHD-related WM deficits in previous reports, and highlight the need for revised clinical measures that utilize best-case procedures. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  16. Chain transitivity in hyperspaces

    International Nuclear Information System (INIS)

    Fernández, Leobardo; Good, Chris; Puljiz, Mate; Ramírez, Ártico

    2015-01-01

    Given a non-empty compact metric space X and a continuous function f: X → X, we study the dynamics of the induced maps on the hyperspace of non-empty compact subsets of X and on various other invariant subspaces thereof, in particular symmetric products. We show how some important dynamical properties transfer across induced systems. These amongst others include, chain transitivity, chain (weakly) mixing, chain recurrence, exactness by chains. From our main theorem we derive an ε-chain version of Furstenberg’s celebrated 2 implies n Theorem. We also show the implications our results have for dynamics on continua.

  17. Supply chain integration and performance : the moderating effect of supply complexity

    NARCIS (Netherlands)

    Giménez, C.; van der Vaart, T.; van Donk, D.P.

    2012-01-01

    Purpose - The purpose of this paper is to investigate the effectiveness of supply chain integration in different contexts. More specifically, it aims to show that supply chain integration is only effective in buyer-supplier relationships characterised by high supply complexity.

  18. Multi-stakeholder initiatives in sustainable supply chains: Putting sustainability performance in context

    Directory of Open Access Journals (Sweden)

    Cory Searcy

    2017-12-01

    Full Text Available The purpose of this article is to explore the role of multi-stakeholder initiatives (MSIs in sustainable supply chains. I argue that MSIs are needed to help establish and institutionalize the natural and social thresholds in which a sustainable supply chain must operate. While a multitude of MSIs relevant to supply chains already exist, they do not yet adequately address sustainability thresholds. Building on theory and literature, I elaborate on four interrelated roles for MSIs in this area: (1 providing learning platforms, (2 developing standards, (3 developing enforcement mechanisms, and (4 issuing labels and certifications. All four roles emphasize the need for supply chains to operate within the thresholds set by nature and society. Staying within thresholds is what distinguishes between sustainable and unsustainable supply chains. The four roles form part of a broader conceptual framework outlining a way forward for MSIs in sustainable supply chains. Different MSIs could address one or more of these roles. I argue that all MSIs must be developed with special attention to their input and output legitimacy. Stakeholders from both within and beyond the supply chain must be involved in developing and implementing a MSI for it to be viewed as legitimate. I note that the conceptual framework presented here is a starting point. It would benefit from further testing and refinement. For example, future work could add further specificity to the four roles I discuss. Future research could also focus on integrating economic thresholds for sustainable supply chains into the framework.

  19. Performance metrics for state-of-the-art airborne magnetic and electromagnetic systems for mapping and detection of unexploded ordnance

    Science.gov (United States)

    Doll, William E.; Bell, David T.; Gamey, T. Jeffrey; Beard, Les P.; Sheehan, Jacob R.; Norton, Jeannemarie

    2010-04-01

    Over the past decade, notable progress has been made in the performance of airborne geophysical systems for mapping and detection of unexploded ordnance in terrestrial and shallow marine environments. For magnetometer systems, the most significant improvements include development of denser magnetometer arrays and vertical gradiometer configurations. In prototype analyses and recent Environmental Security Technology Certification Program (ESTCP) assessments using new production systems the greatest sensitivity has been achieved with a vertical gradiometer configuration, despite model-based survey design results which suggest that dense total-field arrays would be superior. As effective as magnetometer systems have proven to be at many sites, they are inadequate at sites where basalts and other ferrous geologic formations or soils produce anomalies that approach or exceed those of target ordnance items. Additionally, magnetometer systems are ineffective where detection of non-ferrous ordnance items is of primary concern. Recent completion of the Battelle TEM-8 airborne time-domain electromagnetic system represents the culmination of nearly nine years of assessment and development of airborne electromagnetic systems for UXO mapping and detection. A recent ESTCP demonstration of this system in New Mexico showed that it was able to detect 99% of blind-seeded ordnance items, 81mm and larger, and that it could be used to map in detail a bombing target on a basalt flow where previous airborne magnetometer surveys had failed. The probability of detection for the TEM-8 in the blind-seeded study area was better than that reported for a dense-array total-field magnetometer demonstration of the same blind-seeded site, and the TEM-8 system successfully detected these items with less than half as many anomaly picks as the dense-array total-field magnetometer system.

  20. Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover

    Science.gov (United States)

    Melin, M.; Korhonen, L.; Kukkonen, M.; Packalen, P.

    2017-07-01

    Canopy cover (CC) is a variable used to describe the status of forests and forested habitats, but also the variable used primarily to define what counts as a forest. The estimation of CC has relied heavily on remote sensing with past studies focusing on satellite imagery as well as Airborne Laser Scanning (ALS) using light detection and ranging (lidar). Of these, ALS has been proven highly accurate, because the fraction of pulses penetrating the canopy represents a direct measurement of canopy gap percentage. However, the methods of photogrammetry can be applied to produce point clouds fairly similar to airborne lidar data from aerial images. Currently there is little information about how well such point clouds measure canopy density and gaps. The aim of this study was to assess the suitability of aerial image point clouds for CC estimation and compare the results with those obtained using spectral data from aerial images and Landsat 5. First, we modeled CC for n = 1149 lidar plots using field-measured CCs and lidar data. Next, this data was split into five subsets in north-south direction (y-coordinate). Finally, four CC models (AerialSpectral, AerialPointcloud, AerialCombi (spectral + pointcloud) and Landsat) were created and they were used to predict new CC values to the lidar plots, subset by subset, using five-fold cross validation. The Landsat and AerialSpectral models performed with RMSEs of 13.8% and 12.4%, respectively. AerialPointcloud model reached an RMSE of 10.3%, which was further improved by the inclusion of spectral data; RMSE of the AerialCombi model was 9.3%. We noticed that the aerial image point clouds managed to describe only the outermost layer of the canopy and missed the details in lower canopy, which was resulted in weak characterization of the total CC variation, especially in the tails of the data.

  1. Evaluating the HR function as being a factor of supply chain performance: Case of industrial companies in Morocco

    Directory of Open Access Journals (Sweden)

    Elmortada Asmaa

    2017-01-01

    Full Text Available In an economic environment increasingly complex and competitive, firms are now aware, more than ever, of the importance of controlling the human resources function as a primary factor to the success and performance of their supply chains. Through studying the Moroccan industrial companies, the concern of this article is to highlight the role of human resource function in the supply chain performance, in the light of the company culture and under the effect of a HRM practices influenced by the competitive environment, and the resulting mutations.

  2. A GM (1, 1 Markov Chain-Based Aeroengine Performance Degradation Forecast Approach Using Exhaust Gas Temperature

    Directory of Open Access Journals (Sweden)

    Ning-bo Zhao

    2014-01-01

    Full Text Available Performance degradation forecast technology for quantitatively assessing degradation states of aeroengine using exhaust gas temperature is an important technology in the aeroengine health management. In this paper, a GM (1, 1 Markov chain-based approach is introduced to forecast exhaust gas temperature by taking the advantages of GM (1, 1 model in time series and the advantages of Markov chain model in dealing with highly nonlinear and stochastic data caused by uncertain factors. In this approach, firstly, the GM (1, 1 model is used to forecast the trend by using limited data samples. Then, Markov chain model is integrated into GM (1, 1 model in order to enhance the forecast performance, which can solve the influence of random fluctuation data on forecasting accuracy and achieving an accurate estimate of the nonlinear forecast. As an example, the historical monitoring data of exhaust gas temperature from CFM56 aeroengine of China Southern is used to verify the forecast performance of the GM (1, 1 Markov chain model. The results show that the GM (1, 1 Markov chain model is able to forecast exhaust gas temperature accurately, which can effectively reflect the random fluctuation characteristics of exhaust gas temperature changes over time.

  3. Performance of an HF chain-reaction laser with high initiation efficiency

    International Nuclear Information System (INIS)

    Whittier, J.S.; Kerber, R.L.

    1974-01-01

    Output-pulse observations are presented for a transverse electrically initiated, helium-diluted HF laser pumped by the H 2 + F 2 chain reaction. Performance of this laser is studied over a wide range of the gas composition and for initial pressures between 0.1 and 0.5 atm. The gas mixture was stabilized by premixing O 2 , F 2 , and He and flowing this mixture into a cold trap (84 0 K) before mixing with H 2 . Optimum conversion of electrical-initiation energy into laser energy was found for a 240-torr mixture with a mole ratio 1 F 2 :0.23 H 2 :0.08 O 2 :12 He which, when initiated with a 25-kV, 333-pF discharge, gave a pulse energy of 0.150 J. This corresponds to a ratio of laser output energy to electrical input energy of 144 percent. After unnecessary losses are taken into account, this ratio becomes 160 percent. (U.S.)

  4. Impact of Infrastructure and Production Processes on Rioja Wine Supply Chain Performance

    Directory of Open Access Journals (Sweden)

    José Roberto Díaz-Reza

    2018-01-01

    Full Text Available This paper presents a structural equation model for analyzing the relationship between four latent variables: infrastructure, production processes, transport benefits, and economic benefits within the supply chain for wine from La Rioja, Spain, by incorporating 12 observed variables. The model proposes six hypothesis that were tested using information gathered from 64 surveys completed by managers of several wineries in the region. The WarpPLS v.5® software (Version 5.0, Script Warp Systems, Laredo, TX, USA was used to execute the model and analyze the direct, indirect, and total effects among latent variables. The results show that the control of production processes is a direct source of economic and transport benefits because of its higher explanatory power of those variables. Similarly, infrastructure is a direct source of transport and production benefits, and some of them are given indirectly. In addition, infrastructure does not have a direct effect on economic benefits; however, there were indirect effects given through production process and transport benefits. Infrastructure is a very important variable because of its influence in the final performance, but also because of its high environmental impact. Finally, economic benefits were explained in 43.8%, 19.1% belonging to production process, 21.1% coming from transport benefits, and 3.7% from infrastructure.

  5. A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences

    DEFF Research Database (Denmark)

    Shen, Lixin; Olfat, Laya; Govindan, Kannan

    2013-01-01

    Today's international business environment has forced many firms to focus on supply chain management to gain a competitive advantage. During recent years, supplier selection process in the supply chain has become a key strategic consideration. With the growing worldwide awareness of environmental...... protection and the corresponding increase in legislation and regulations, green purchasing has become an important issue for companies to gain environmental sustainability. Traditionally, companies consider criteria such as price, quality and lead time, when evaluating supplier performance and do not give...... enough attention to environmental criteria as a means to evaluate suppliers. Now, many companies have begun to implement green supply chain management (GSCM) and to consider environmental issues and the measurement of their suppliers' environmental performance. This paper examines GSCM to propose a fuzzy...

  6. Factors influencing the choice of performance measures for the oil and gas supply chain – exploratory study

    Science.gov (United States)

    Menhat, Masha; Yusuf, Y.

    2018-04-01

    The current value of the oil price per barrel has severely impacted the oil and gas industry around the world. This has worsened the situation due to the fact that it has long been the backbone of the country through the energy supply, employability and also its role as the major economic contributor. Due to multiple external factors that affect this industry such as crude oil availability, oil price fluctuation, high transportation cost, as well as exposure to high uncertainties, it is sensible for the supply chain practitioner to shift their focus in managing their resources and capabilities. To maximise the potential of supply chain activities in improving overall company performance, it is important to pay extra attention on their performance management. This includes the design of meaningful performance measurement framework to assess organisational performance. This study will explore the influencing factors in choosing performance measures for the oil and gas supply chain. Five in-depth interviews were conducted with supply chain experts within the industry. Eight influencing factors have been identified through the interviews.

  7. Metrics for image segmentation

    Science.gov (United States)

    Rees, Gareth; Greenway, Phil; Morray, Denise

    1998-07-01

    An important challenge in mapping image-processing techniques onto applications is the lack of quantitative performance measures. From a systems engineering perspective these are essential if system level requirements are to be decomposed into sub-system requirements which can be understood in terms of algorithm selection and performance optimization. Nowhere in computer vision is this more evident than in the area of image segmentation. This is a vigorous and innovative research activity, but even after nearly two decades of progress, it remains almost impossible to answer the question 'what would the performance of this segmentation algorithm be under these new conditions?' To begin to address this shortcoming, we have devised a well-principled metric for assessing the relative performance of two segmentation algorithms. This allows meaningful objective comparisons to be made between their outputs. It also estimates the absolute performance of an algorithm given ground truth. Our approach is an information theoretic one. In this paper, we describe the theory and motivation of our method, and present practical results obtained from a range of state of the art segmentation methods. We demonstrate that it is possible to measure the objective performance of these algorithms, and to use the information so gained to provide clues about how their performance might be improved.

  8. Skeletal keratan sulfate chain molecular weight calibration by high-performance gel-permeation chromatography

    International Nuclear Information System (INIS)

    Dickenson, J.M.; Morris, H.G.; Nieduszynski, I.A.; Huckerby, T.N.

    1990-01-01

    A method has been developed for the molecular sizing of skeletal keratan sulfate chains using an HPLC gel-permeation chromatography system. Keratan sulfate chains and keratanase-derived oligosaccharides were prepared from the nucleus pulposus of bovine intervertebral disc (6-year-old animals). A Bio-Gel TSK 30 XL column eluted in 0.2 M NaCl and at 30 degrees C was calibrated with keratan sulfate oligosaccharides of known size as well as 3H-end-labeled keratan sulfate chains to yield the relationship

  9. Designing Performance Measurement For Supply Chain's Actors And Regulator Using Scale Balanced Scorecard And Data Envelopment Analysis

    Science.gov (United States)

    Kusrini, Elisa; Subagyo; Aini Masruroh, Nur

    2016-01-01

    This research is a sequel of the author's earlier conducted researches in the fields of designing of integrated performance measurement between supply chain's actors and regulator. In the previous paper, the design of performance measurement is done by combining Balanced Scorecard - Supply Chain Operation Reference - Regulator Contribution model and Data Envelopment Analysis. This model referred as B-S-Rc-DEA model. The combination has the disadvantage that all the performance variables have the same weight. This paper investigates whether by giving weight to performance variables will produce more sensitive performance measurement in detecting performance improvement. Therefore, this paper discusses the development of the model B-S-Rc-DEA by giving weight to its performance'variables. This model referred as Scale B-S-Rc-DEA model. To illustrate the model of development, some samples from small medium enterprises of leather craft industry supply chain in province of Yogyakarta, Indonesia are used in this research. It is found that Scale B-S-Rc-DEA model is more sensitive to detecting performance improvement than B-S- Rc-DEA model.

  10. Essays on the Effect of Radio Frequency Identification (RFID) on the Management of Healthcare Supply Chain Performance

    Science.gov (United States)

    Cakici, Ozden Engin

    2012-01-01

    This dissertation examines three issues on the effect of Radio Frequency Identification (RFID) on the management of healthcare supply chain performance within the context of inventory management. Motivated by a case study conducted in a radiology practice, the second chapter analyzes the incremental benefits of RFID over barcodes for managing…

  11. Improvement of wheel skidder tractive performance by tire inflation pressure and tire chains

    OpenAIRE

    Stoilov, Stanimir

    2007-01-01

    The motion resistance ratio, gross traction ratio and net traction ratio of a wheel cable skidder were determined and mathematical models derived for three tire inflation pressure values with or without tire chains on forest road in mountainous conditions. The motion resistance ratio increases with the increase of tire inflation pressure. On the contrary, the gross traction ratio increases with the decrease of tire inflation pressure. However, when the tires are equipped with tire chains t...

  12. Thermodynamic metrics and optimal paths.

    Science.gov (United States)

    Sivak, David A; Crooks, Gavin E

    2012-05-11

    A fundamental problem in modern thermodynamics is how a molecular-scale machine performs useful work, while operating away from thermal equilibrium without excessive dissipation. To this end, we derive a friction tensor that induces a Riemannian manifold on the space of thermodynamic states. Within the linear-response regime, this metric structure controls the dissipation of finite-time transformations, and bestows optimal protocols with many useful properties. We discuss the connection to the existing thermodynamic length formalism, and demonstrate the utility of this metric by solving for optimal control parameter protocols in a simple nonequilibrium model.

  13. Invariant metrics for Hamiltonian systems

    International Nuclear Information System (INIS)

    Rangarajan, G.; Dragt, A.J.; Neri, F.

    1991-05-01

    In this paper, invariant metrics are constructed for Hamiltonian systems. These metrics give rise to norms on the space of homeogeneous polynomials of phase-space variables. For an accelerator lattice described by a Hamiltonian, these norms characterize the nonlinear content of the lattice. Therefore, the performance of the lattice can be improved by minimizing the norm as a function of parameters describing the beam-line elements in the lattice. A four-fold increase in the dynamic aperture of a model FODO cell is obtained using this procedure. 7 refs

  14. Supplier selection using different metric functions

    Directory of Open Access Journals (Sweden)

    Omosigho S.E.

    2015-01-01

    Full Text Available Supplier selection is an important component of supply chain management in today’s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution. Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

  15. Using an Individual Procedure Score Before and After the Advanced Surgical Skills Exposure for Trauma Course Training to Benchmark a Hemorrhage-Control Performance Metric.

    Science.gov (United States)

    Mackenzie, Colin F; Garofalo, Evan; Shackelford, Stacy; Shalin, Valerie; Pugh, Kristy; Chen, Hegang; Puche, Adam; Pasley, Jason; Sarani, Babak; Henry, Sharon; Bowyer, Mark

    2015-01-01

    Test with an individual procedure score (IPS) to assess whether an unpreserved cadaver trauma training course, including upper and lower limb vascular exposure, improves correct identification of surgical landmarks, underlying anatomy, and shortens time to vascular control. Prospective study of performance of 3 vascular exposure and control procedures (axillary, brachial, and femoral arteries) using IPS metrics by 2 colocated and trained evaluators before and after training with the Advanced Surgical Skills Exposure for Trauma (ASSET) course. IPS, including identification of anatomical landmarks, incisions, underlying structures, and time to completion of each procedure was compared before and after training using repeated measurement models. Audio-video instrumented cadaver laboratory at University of Maryland School of Medicine. A total of 41 second to sixth year surgical residents from surgical programs throughout Mid-Atlantic States who had not previously taken the ASSET course were enrolled, 40 completed the pre- and post-ASSET performance evaluations. After ASSET training, all components of IPS increased and time shortened for each of the 3 artery exposures. Procedure steps performed correctly increased 57%, anatomical knowledge increased 43% and skin incision to passage of a vessel loop twice around the correct vessel decreased by a mean of 2.5 minutes. An overall vascular trauma readiness index, a comprehensive IPS score for 3 procedures increased 28% with ASSET Training. Improved knowledge of surface landmarks and underlying anatomy is associated with increased IPS, faster procedures, more accurate incision placement, and successful vascular control. Structural recognition during specific procedural steps and anatomical knowledge were key points learned during the ASSET course. Such training may accelerate acquisition of specific trauma surgery skills to compensate for shortened training hours, infrequent exposure to major vascular injuries, or when just

  16. Impact of green supply chain management practices on firms' performance: an empirical study from the perspective of Pakistan.

    Science.gov (United States)

    Khan, Syed Abdul Rehman; Qianli, Dong

    2017-07-01

    This article investigates the impact of five determinants of the green supply chain practices on organizational performance in the context of Pakistan manufacturing firms. A sample of 218 firms was collected from the manufacturing industry. The green supply chain practices were measured through five independent variables including green manufacturing, green purchasing, green information systems, cooperation with customers, and eco-design. By using exploratory factor and simultaneous regression analysis, the results indicate that except green purchasing, rests of the four independent variables have been found statistically significant to predict organizational performance. However, the eco-design of green practices followed by green information systems has revealed the greatest impact on organizational performance. Therefore, the managers of the manufacturing firms should not only implement eco-design in their supply chain but also concentrate on proper monitoring and implementation of green information systems to increase their firms' performance. A main contribution of this research from theoretical side is that it is possible to notice a negative effect of "green purchasing" towards organizational performance particularly in the scenario of Pakistan manufacturing industry. Another valuable result is that green purchasing is an important antecedent of firms economic performance in the US manufacturing firms (Green et al. 2012), although not significantly related to organizational performance in our study. In addition, we also discussed research limitations, areas for future research, and implications for practitioners.

  17. Metric diffusion along foliations

    CERN Document Server

    Walczak, Szymon M

    2017-01-01

    Up-to-date research in metric diffusion along compact foliations is presented in this book. Beginning with fundamentals from the optimal transportation theory and the theory of foliations; this book moves on to cover Wasserstein distance, Kantorovich Duality Theorem, and the metrization of the weak topology by the Wasserstein distance. Metric diffusion is defined, the topology of the metric space is studied and the limits of diffused metrics along compact foliations are discussed. Essentials on foliations, holonomy, heat diffusion, and compact foliations are detailed and vital technical lemmas are proved to aide understanding. Graduate students and researchers in geometry, topology and dynamics of foliations and laminations will find this supplement useful as it presents facts about the metric diffusion along non-compact foliation and provides a full description of the limit for metrics diffused along foliation with at least one compact leaf on the two dimensions.

  18. Metric modular spaces

    CERN Document Server

    Chistyakov, Vyacheslav

    2015-01-01

    Aimed toward researchers and graduate students familiar with elements of functional analysis, linear algebra, and general topology; this book contains a general study of modulars, modular spaces, and metric modular spaces. Modulars may be thought of as generalized velocity fields and serve two important purposes: generate metric spaces in a unified manner and provide a weaker convergence, the modular convergence, whose topology is non-metrizable in general. Metric modular spaces are extensions of metric spaces, metric linear spaces, and classical modular linear spaces. The topics covered include the classification of modulars, metrizability of modular spaces, modular transforms and duality between modular spaces, metric  and modular topologies. Applications illustrated in this book include: the description of superposition operators acting in modular spaces, the existence of regular selections of set-valued mappings, new interpretations of spaces of Lipschitzian and absolutely continuous mappings, the existe...

  19. Exploring the impact of dynamic capabilities on sustainable supply chain firm's performance using Grey-Analytical Hierarchy Process

    DEFF Research Database (Denmark)

    Govindan, Kannan; Mathivathanan, Deepak; Haq, A. Noorul

    2017-01-01

    Dynamic capabilities (DCs) are the inherent capabilities developed by firms through the implementation of Sustainable Supply Chain practices. These DCs serve as a backbone for the firms to achieve competitive advantages in contemporary ever-changing markets. The present study focuses on exploring...... industrial managers to identify specific influential DCs for each performance measure category by overcoming the limitations of few experts through the application of the grey multi criteria decision making system. Identifying and prioritizing performance-specific DCs allow sustainable supply chain oriented...... performance measures identified from the literature. First, through a questionnaire survey with industrial experts from south India as respondents, the initial list of 77 DCs is confined to a list of 40 essential DCs. Second, the shortlisted 40 DCs are grouped under six performance measures; a logical...

  20. Developing measures for the evaluation of information flow efficiency in supply chains

    Directory of Open Access Journals (Sweden)

    Johanna A. Badenhorst

    2013-05-01

    Full Text Available Member organisations in a supply chain are dependent on each other to provide material, services and information to perform optimally in the supply chain. Efficient, unrestricted information flow is needed in supply chains to function properly. Information flow is thus an element of supply chain management that needs to be managed. Yet, no indication could be found in supply chain management literature of the measurement of information flow efficiency. Hence, the aim of this article is to explore the measurement of information flow efficiency in supply chain management (SCM and exploratively develop possible measures (indicators and associated metrics to measure the efficiency of information flow.In this research the theory of information and related concepts, the basic notions of information systems and the models of business performance measurement were explored. Based on information flow theory and information flow characteristics a research instrument was developed. It was used in a survey to seek inputs from supply chain managers as to the usefulness of characteristics as indicators and metrics for the measurement of information flow efficiency in a supply chain. The main contribution of the study is the development of a conceptual framework of indicators and metrics that may be used to evaluate the efficiency of information flows in supply chains. The results of this study can be used as a basis for further studies to validate the instrument for measuring information flow efficiency and to develop scales to actually measure information flow efficiency.

  1. Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications.

    Science.gov (United States)

    Zhu, Qinghua; Geng, Yong; Lai, Kee-hung

    2010-06-01

    The rapidly growing industrial activities in emerging economies such as China have been causing resource depletion and pollution problems. This reality requires China to adopt an integrated management approach to resolve the conflict between industrial development and environmental protection, and the concept of circular economy (CE) serves this purpose. In this paper, we examine if different types of manufacturing enterprises on environmental-oriented supply chain cooperation (ESCC) exist. We also determine if the Chinese manufacturer types varying in ESCC differ in their implementation of the CE practices towards achieving the CE-targeted goals on improving both environmental and economic performance. Our cluster analytic results with multivariate analysis of variance (MANOVA) among the four identified types of Chinese manufacturers varying in environmental-oriented supply chain cooperation highlight the importance to intensify the cooperation with upstream and downstream supply chain partners for a CE initiative to succeed. (c) 2010 Elsevier Ltd. All rights reserved.

  2. Social network analysis and supply chain management

    Directory of Open Access Journals (Sweden)

    Raúl Rodríguez Rodríguez

    2016-01-01

    Full Text Available This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes.

  3. Overview of journal metrics

    Directory of Open Access Journals (Sweden)

    Kihong Kim

    2018-02-01

    Full Text Available Various kinds of metrics used for the quantitative evaluation of scholarly journals are reviewed. The impact factor and related metrics including the immediacy index and the aggregate impact factor, which are provided by the Journal Citation Reports, are explained in detail. The Eigenfactor score and the article influence score are also reviewed. In addition, journal metrics such as CiteScore, Source Normalized Impact per Paper, SCImago Journal Rank, h-index, and g-index are discussed. Limitations and problems that these metrics have are pointed out. We should be cautious to rely on those quantitative measures too much when we evaluate journals or researchers.

  4. Validation of Metrics for Collaborative Systems

    Directory of Open Access Journals (Sweden)

    Ion IVAN

    2008-01-01

    Full Text Available This paper describe the new concepts of collaborative systems metrics validation. The paper define the quality characteristics of collaborative systems. There are proposed a metric to estimate the quality level of collaborative systems. There are performed measurements of collaborative systems quality using a specially designed software.

  5. Validation of Metrics for Collaborative Systems

    OpenAIRE

    Ion IVAN; Cristian CIUREA

    2008-01-01

    This paper describe the new concepts of collaborative systems metrics validation. The paper define the quality characteristics of collaborative systems. There are proposed a metric to estimate the quality level of collaborative systems. There are performed measurements of collaborative systems quality using a specially designed software.

  6. Upgrading Supply Chain Management Systems to Improve Availability of Medicines in Tanzania: Evaluation of Performance and Cost Effects.

    Science.gov (United States)

    Mwencha, Marasi; Rosen, James E; Spisak, Cary; Watson, Noel; Kisoka, Noela; Mberesero, Happiness

    2017-09-27

    To address challenges in public health supply chain performance, Tanzania invested in a national logistics management unit (LMU) and a national electronic logistics management information system (eLMIS). This evaluation examined the impact of those 2 key management upgrades approximately 1 year after they were introduced. We used a nonexperimental pre-post study design to compare the previous system with the upgraded management system. We collected baseline data from August to November 2013. We conducted round 1 of post-implementation data collection during April and May 2015, about 1 year after implementation of the upgrades. We evaluated key indicators of data use and reporting; supply chain management practices such as storage and supervision; supply chain performance including stock-out and expiry rates; and supply chain cost and savings. We analyzed the data using a range of techniques including statistical testing of baseline and round-1 results, and cost, cost-effectiveness, and return on investment analysis. The upgrades were associated with improvements in data use, accessibility, visibility, and transparency; planning, control, and monitoring; support for quantification; stock-out rates; stock-out duration; commodity expiry; and forecast error. The upgraded system was more costly, but it was also more efficient, particularly when adjusting for the performance improvements. The upgrades also generated substantial savings that defrayed some, but not all, of the investment costs. Upgrades to Tanzania's supply chain management systems created multiple and complex pathways to impact. One year after implementation, the LMU and eLMIS brought about performance improvements through better data use and through improvements in some, but not all, management practices. Furthermore, the upgrades-while not inexpensive-contributed to greater system efficiency and modest savings. © Mwencha et al.

  7. Involuntary conscious memory facilitates cued recall performance: further evidence that chaining occurs during voluntary recall.

    Science.gov (United States)

    Mace, John H

    2009-01-01

    Recent studies have shown that conscious recollection of the past occurs spontaneously when subjects voluntarily recall their own past experiences or a list of previously studied words. Naturalistic diary studies and laboratory studies of this phenomenon, often called involuntary conscious memory (ICM), show that it occurs in 2 ways. One is direct ICM retrieval, which occurs when a cue spontaneously triggers a conscious memory; the other is chained ICM retrieval, which occurs when a retrieved conscious memory spontaneously triggers another. Laboratory studies investigating ICM show that chained ICM retrieval occurs on voluntary autobiographical memory tasks. The present results show that chained ICM retrieval also occurs on a voluntary word list memory task (cued recall). These results are among a handful suggesting that ICM retrieval routinely occurs during voluntary recall.

  8. Critical success factors for implementation of supply chain management in Indian small and medium enterprises and their impact on performance

    Directory of Open Access Journals (Sweden)

    Ravinder Kumar

    2015-06-01

    Full Text Available Globalization of the economy, e-business, and introduction of new technologies pose new challenges to all organizations especially for small and medium enterprises (SMEs. In this scenario, successful implementation of supply chain management (SCM can give SMEs an edge over their competitors. However, SMEs in India and other developing countries face problems in SCM implementation due to lack of resources and direction. Against this backdrop, this paper identified 13 critical success factors (CSFs for implementation of SCM in SMEs and studied their impact on performance of Indian SMEs. Top management commitment, long–term vision, focus on core strengths, devoted resources for supply chain, and development of effective SCM strategy emerged as the most pertinent CSFs. To measure improvement in performance, the authors considered different measures related to customer service and satisfaction, innovation and growth, financial performance, and internal business. Results are analysed by testing research propositions using standard statistical tools.

  9. Fine-tuning blend morphology via alkylthio side chain engineering towards high performance non-fullerene polymer solar cells

    Science.gov (United States)

    Li, Ling; Feng, Liuliu; Yuan, Jun; Peng, Hongjian; Zou, Yingping; Li, Yongfang

    2018-03-01

    Two medium bandgap polymers (ffQx-TS1, ffQx-TS2) were designed and synthesized to investigate the influence of different alkylthio side chain on the morphology and photovoltaic performance of non-fullerene polymer solar cells (PSCs). Both polymers exhibit similar molecular weights and comparable the highest occupied molecular orbital (HOMO) energy level. However, the polymer with straight alkylthio chain delivers a root-mean-square (RMS) of 0.86 nm, which is slightly lower than that with branched chain (1.40 nm). The lower RMS benefits the ohmic contact between the active lay and interface layer, thus enhanced short circuit current (Jsc) (from 13.54 mA cm-1 to 15.25 mA cm-1) could be obtained. Due to the enhancement of Jsc, better power conversion efficiency (PCE) of 7.69% for ffQx-TS2 could be realized. These results indicated that alkylthio side chain engineering is a promising method to improve photovoltaic performance.

  10. Brand metrics that matter

    NARCIS (Netherlands)

    Muntinga, D.; Bernritter, S.

    2017-01-01

    Het merk staat steeds meer centraal in de organisatie. Het is daarom essentieel om de gezondheid, prestaties en ontwikkelingen van het merk te meten. Het is echter een uitdaging om de juiste brand metrics te selecteren. Een enorme hoeveelheid metrics vraagt de aandacht van merkbeheerders. Maar welke

  11. Privacy Metrics and Boundaries

    NARCIS (Netherlands)

    L-F. Pau (Louis-François)

    2005-01-01

    textabstractThis paper aims at defining a set of privacy metrics (quantitative and qualitative) in the case of the relation between a privacy protector ,and an information gatherer .The aims with such metrics are: -to allow to assess and compare different user scenarios and their differences; for

  12. Corporate profile, performance and green supply chain management: a research agenda / Perfil corporativo, desempenho e green supply chain management: uma agenda de pesquisa

    Directory of Open Access Journals (Sweden)

    Fábio Ytoshi Shibao

    2017-06-01

    Full Text Available Purpose: To evaluate the universe of published articles that propose frameworks about the relationship between green supply chain management (GSCM and performance in the period from 1995 to 2014, in order to propose a conceptual model that can be applied to future studies, considering the green profile besides the practices of GSCM and performance. Originality/gap/relevance/implications: The investigation revealed a lack of relationship among the organizations' profile, its environmental, economic and operational performance and GSCM practices. Key methodological aspects: The relationship among constructs was established through bibliometric analysis obtained in the models/frameworks of GSCM practices and performance extracted from the databases "ProQuest", "EBSCO", "JSTOR", "Web of Science" and "Scopus". Further, the content analysis and network analysis were then performed. Summary of key results: GSCM internal and external practices, environmental performance, economic performance and operational performance were revealed as main topics addressed in GSCM. Moreover, it was noted that studies on internal practices prevailed over those addressed to other practices. Key considerations/conclusions: The models studied did not consider whether the corporate green profile could improve the performance of the organization. Therefore, they did not simultaneously measure environmental, economic and operational performance. It was concluded that the addition of the green profile in conjunction with GSCM practices and performance allows for a more in-depth analysis of the degree of a company's involvement with GSCM, as well as its intended objectives and results achieved in the future. Objetivo: Avaliar o universo de artigos publicados que propuseram frameworks da relação entre green supply chain management (GSCM e desempenho no período de 1995 à 2014, de modo a propor um modelo conceitual que possa ser aplicado para futuros estudos, considerando o

  13. The Impact of Supply Chain Business Processes on Competitive Advantage and Organizational Performance

    Science.gov (United States)

    2012-03-22

    customer relationship management ( CRM ), order fulfillment (OF), and returns management (RM)) across the supply chain according to...defines eight key business processes: CRM , customer service management , demand management , OF, manufacturing flow management , supplier relationship ...most often referred to as CRM . Although, the management of customer relationships is widely recognized as an essential component of

  14. The Impact of Supply Chain Integration on Firm Performance in the Pork Processing Industry in China

    NARCIS (Netherlands)

    Han, J.; Lu, H.; Trienekens, J.H.; Omta, S.W.F.

    2013-01-01

    Purpose – Supply chain integration (SCI) is one of the most distinctive dimensions in achieving long-term competitive advantage in the business world. Although considerable state-of-the-art studies regarding the SCI concept and its dimensions have been conducted, empirical research by using the data

  15. Nitrogen surplus: An environmental performance indicator for sustainable food supply chains

    Science.gov (United States)

    Nitrogen pollution and negative impacts on human and environmental health are embodied in crop commodities traded domestically and internationally. Food supply chain companies can play a catalytic role in reducing that burden by helping to decrease the environmental nitrogen load from agriculture. T...

  16. Assessment of the Lodging Industry Profitability Performance: Invest in Independent or Chain Ownership?

    Directory of Open Access Journals (Sweden)

    Soultana Tania Kapiki

    2014-04-01

    Full Text Available The purpose of this article is to evaluate the economic results of the independent hotels in comparison with the chain hotels as well as to propose suggestions for the viability of the lodging industry.The survey took place in Greece concerning the period 2008-2011 and it was conducted via on-line questionnaires among 165 hotel units. The average means of efficiency and profitability indicators of the sampled hotels are benchmarked and the data of 2009 are utilized to further compare their ratios by using ratio analysis. Furthermore, ANOVA test is used to conduct mean difference analysis in order to identify the differences among the means along with their associated variables between independent and chain hotels. The main findings of the survey show that, generally, the independent hotels tend to be more profitable than chain hotels. The sector’s good practices that have been identified through this study are highlighted as suggestions for the viability of the lodging industry both in Greece and worldwide.Based on the findings of the survey, investors and hotel operators may have a clearer picture of whether it is preferable to invest their funds in the development of an independent hotel or they should turn to chain ownership

  17. Shift in performance of food safety management systems in supply chains

    NARCIS (Netherlands)

    Nanyunja, Jessica; Jacxsens, Liesbeth; Kirezieva, Klementina; Kaaya, A.N.; Uyttendaele, Mieke; Luning, P.A.

    2016-01-01

    BACKGROUND: This study investigates the level of design and operation of food safety management systems (FSMS) of farmers and export traders in Kenya and Uganda. FSMS diagnostic tools developed for the fresh produce chain were used to assess the levels of context riskiness, FSMS activities and

  18. The perceived impact of quality assurance systems on tomato supply chain performance

    NARCIS (Netherlands)

    Aramyan, L.H.; Meuwissen, M.P.M.; Oude Lansink, A.G.J.M.; Vorst, van der J.G.A.J.; Kooten, van O.; Lans, van der I.A.

    2009-01-01

    Agri-food supply chains are currently being confronted with many requirements regarding the product quality of their products. In recent years, concerns about food quality have risen among consumers as a result of several outbreaks of diseases and various environmental concerns. This has stimulated

  19. Business alignment in the procurement domain: a study of antecedents and determinants of supply chain performance.

    NARCIS (Netherlands)

    Mikalef, P.; Pateli, A.; Batenburg, R.; Wetering, R. van de

    2014-01-01

    With organizations now placing an increasing amount on attention on the management of their supply chain activities, the role of Information Technology (IT) in supporting these operations has been put in the spotlight. In spite of extensive research examining how IT can be employed in various

  20. An efficient algorithm to perform local concerted movements of a chain molecule.

    Directory of Open Access Journals (Sweden)

    Stefano Zamuner

    Full Text Available The devising of efficient concerted rotation moves that modify only selected local portions of chain molecules is a long studied problem. Possible applications range from speeding the uncorrelated sampling of polymeric dense systems to loop reconstruction and structure refinement in protein modeling. Here, we propose and validate, on a few pedagogical examples, a novel numerical strategy that generalizes the notion of concerted rotation. The usage of the Denavit-Hartenberg parameters for chain description allows all possible choices for the subset of degrees of freedom to be modified in the move. They can be arbitrarily distributed along the chain and can be distanced between consecutive monomers as well. The efficiency of the methodology capitalizes on the inherent geometrical structure of the manifold defined by all chain configurations compatible with the fixed degrees of freedom. The chain portion to be moved is first opened along a direction chosen in the tangent space to the manifold, and then closed in the orthogonal space. As a consequence, in Monte Carlo simulations detailed balance is easily enforced without the need of using Jacobian reweighting. Moreover, the relative fluctuations of the degrees of freedom involved in the move can be easily tuned. We show different applications: the manifold of possible configurations is explored in a very efficient way for a protein fragment and for a cyclic molecule; the "local backbone volume", related to the volume spanned by the manifold, reproduces the mobility profile of all-α helical proteins; the refinement of small protein fragments with different secondary structures is addressed. The presented results suggest our methodology as a valuable exploration and sampling tool in the context of bio-molecular simulations.

  1. Closed-kinetic chain upper-body training improves throwing performance of NCAA Division I softball players.

    Science.gov (United States)

    Prokopy, Max P; Ingersoll, Christopher D; Nordenschild, Edwin; Katch, Frank I; Gaesser, Glenn A; Weltman, Arthur

    2008-11-01

    Closed-kinetic chain resistance training (CKCRT) of the lower body is superior to open-kinetic chain resistance training (OKCRT) to improve performance parameters (e.g., vertical jump), but the effects of upper-body CKCRT on throwing performance remain unknown. This study compared shoulder strength, power, and throwing velocity changes in athletes training the upper body exclusively with either CKCRT (using a system of ropes and slings) or OKCRT. Fourteen female National Collegiate Athletic Association Division I softball player volunteers were blocked and randomly placed into two groups: CKCRT and OKCRT. Blocking ensured the same number of veteran players and rookies in each training group. Training occurred three times weekly for 12 weeks during the team's supervised off-season program. Olympic, lower-body, core training, and upper-body intensity and volume in OKCRT and CKCRT were equalized between groups. Criterion variables pre- and posttraining included throwing velocity, bench press one-repetition maximum (1RM), dynamic single-leg balance, and isokinetic peak torque and power (PWR) (at 180 degrees x s(-1)) for shoulder flexion, extension, internal rotation, and external rotation (ER). The CKCRT group significantly improved throwing velocity by 2.0 mph (3.4%, p performance. Strength coaches can incorporate upper-body CKCRT without sacrificing gains in maximal strength or performance criteria associated with an athletic open-chain movement such as throwing.

  2. Effect of Non-fullerene Acceptors' Side Chains on the Morphology and Photovoltaic Performance of Organic Solar Cells.

    Science.gov (United States)

    Zhang, Cai'e; Feng, Shiyu; Liu, Yahui; Hou, Ran; Zhang, Zhe; Xu, Xinjun; Wu, Youzhi; Bo, Zhishan

    2017-10-04

    Three indacenodithieno[3,2-b]thiophene (IT) cored small molecular acceptors (ITIC-SC6, ITIC-SC8, and ITIC-SC2C6) were synthesized, and the influence of side chains on their performances in solar cells was systematically probed. Our investigations have demonstrated the variation of side chains greatly affects the charge dissociation, charge mobility, and morphology of the donor:acceptor blend films. ITIC-SC2C6 with four branched side chains showed improved solubility, which can ensure the polymer donor to form favorable fibrous nanostructure during the drying of the blend film. Consequently, devices based on PBDB-ST:ITIC-SC2C6 demonstrated higher charge mobility, more effective exciton dissociation, and the optimal power conversion efficiency up to 9.16% with an FF of 0.63, a J sc of 15.81 mA cm -2 , and a V oc of 0.92 V. These results reveal that the side chain engineering is a valid way of tuning the morphology of blend films and further improving PCE in polymer solar cells.

  3. High performance current and spin diode of atomic carbon chain between transversely symmetric ribbon electrodes.

    Science.gov (United States)

    Dong, Yao-Jun; Wang, Xue-Feng; Yang, Shuo-Wang; Wu, Xue-Mei

    2014-08-21

    We demonstrate that giant current and high spin rectification ratios can be achieved in atomic carbon chain devices connected between two symmetric ferromagnetic zigzag-graphene-nanoribbon electrodes. The spin dependent transport simulation is carried out by density functional theory combined with the non-equilibrium Green's function method. It is found that the transverse symmetries of the electronic wave functions in the nanoribbons and the carbon chain are critical to the spin transport modes. In the parallel magnetization configuration of two electrodes, pure spin current is observed in both linear and nonlinear regions. However, in the antiparallel configuration, the spin-up (down) current is prohibited under the positive (negative) voltage bias, which results in a spin rectification ratio of order 10(4). When edge carbon atoms are substituted with boron atoms to suppress the edge magnetization in one of the electrodes, we obtain a diode with current rectification ratio over 10(6).

  4. Improving Performance of Cold-Chain Insulated Container with Phase Change Material: An Experimental Investigation

    Directory of Open Access Journals (Sweden)

    Li Huang

    2017-12-01

    Full Text Available The cold-chain transportation is an important means to ensure the drug and food safety. An cold-chain insulated container incorporating with Phase Change Material (PCM has been developed for a temperature-controlled transportation in the range of 2~8 °C. The container configuration and different preconditioning methods have been determined to realize a 72-h transportation under extremely high, extremely low, and alternating temperature conditions. The experimental results showed that the temperature-controlled time was extended from 1 h to more than 80 h and the internal temperature maintained at 4~5 °C by using a PCM with a melting/freezing point of 5 °C, while the container presented a subcooling effect in a range of −1~2 °C when using water as PCM. The experimental values of the temperature-controlled time agreed well with the theoretical values.

  5. Holographic Spherically Symmetric Metrics

    Science.gov (United States)

    Petri, Michael

    The holographic principle (HP) conjectures, that the maximum number of degrees of freedom of any realistic physical system is proportional to the system's boundary area. The HP has its roots in the study of black holes. It has recently been applied to cosmological solutions. In this article we apply the HP to spherically symmetric static space-times. We find that any regular spherically symmetric object saturating the HP is subject to tight constraints on the (interior) metric, energy-density, temperature and entropy-density. Whenever gravity can be described by a metric theory, gravity is macroscopically scale invariant and the laws of thermodynamics hold locally and globally, the (interior) metric of a regular holographic object is uniquely determined up to a constant factor and the interior matter-state must follow well defined scaling relations. When the metric theory of gravity is general relativity, the interior matter has an overall string equation of state (EOS) and a unique total energy-density. Thus the holographic metric derived in this article can serve as simple interior 4D realization of Mathur's string fuzzball proposal. Some properties of the holographic metric and its possible experimental verification are discussed. The geodesics of the holographic metric describe an isotropically expanding (or contracting) universe with a nearly homogeneous matter-distribution within the local Hubble volume. Due to the overall string EOS the active gravitational mass-density is zero, resulting in a coasting expansion with Ht = 1, which is compatible with the recent GRB-data.

  6. Using Scheduled Ordering to Improve the Performance of Distribution Supply Chains

    OpenAIRE

    Lucy Gongtao Chen; Srinagesh Gavirneni

    2010-01-01

    We study a supply chain with one supplier and many retailers that face exogenous end-customer demands. The supplier and the retailers all try to minimize their own inventory-related costs. In contrast to the retailers' newsvendor-type ordering behavior (under which retailers may place orders freely in every period), we propose two scheduled ordering policies: the scheduled balanced ordering policy (SBOP) and the scheduled synchronized ordering policy (SSOP). Under both the SBOP and SSOP, reta...

  7. Economic Performance and Emission Reduction of Supply Chains in Different Power Structures: Perspective of Sustainable Investment

    Directory of Open Access Journals (Sweden)

    Xiutian Shi

    2018-04-01

    Full Text Available Environmental issues have increasingly received attention in both industry and academia. Many firms have started to make sustainable investments, such as adopting the pollution-abatement technologies, to reduce carbon emissions. To investigate the impacts of the sustainable investment on firms’ profit and emission reduction, we consider supply chains with uncertain demand in different power structures. Specifically, we examine the sustainable investment problem in three supply chain power structures, i.e., manufacturer Stackelberg (MS power structure, vertical Nash (VN power structure and retailer Stackelberg (RS power structure. We first derive the optimal decisions for both the retailer and manufacturer in each power structure. Then, by comparing the results in the three power structures, we find that the manufacturer gets benefits from making the sustainable investment, especially in unequal power structures. When the average market size is large (small enough, both of the supply chain members obtain more profits in the MS (RS power structure. From an environmental perspective, we find that the emission reduction is more significant in sequential games (i.e., MS and RS power structures than that in a simultaneous game (i.e., VN power structure. In addition, we conduct some numerical studies and discuss more managerial insights in the paper.

  8. Networks and centroid metrics for understanding football

    African Journals Online (AJOL)

    Gonçalo Dias

    games. However, it seems that the centroid metric, supported only by the position of players in the field ...... the strategy adopted by the coach (Gama et al., 2014). ... centroid distance as measures of team's tactical performance in youth football.

  9. Investigating the Effects of Information Technology on the Capabilities and Performance of the Supply Chain of Dairy Companies in Fars Province: A Multiple Case Study

    Directory of Open Access Journals (Sweden)

    Ali Mohammadi

    2011-09-01

    Full Text Available Nowadays all organizations are somehow involved with information technology revolutions and the applicable aspects of information technology are evident in any field of supply chain, from the relationship with suppliers and producers to the relationship with the customers. In other words, the application of information technology is influential in the improvement of the supply chain. In this study, the effect of information technology tools on the capabilities and performance of the supply chain in the dairy companies of Fars province is investigated. In this research, in information technology sets of tools ,supply chain communication system (SCCS, electronic data interchange (EDI, electronic mail (Email, bar-coding, and radio frequency identification (RFID, in supply chain capabilities, four dimensions including information exchange, coordination, interfirm activity integration, and supply chain responsiveness, and in performance of supply chain, two variables of performance including marketing performance and financial performance will be examined. The results indicate that using information technology tools is effective on the capabilities and hence performance of the supply chain.

  10. On Information Metrics for Spatial Coding.

    Science.gov (United States)

    Souza, Bryan C; Pavão, Rodrigo; Belchior, Hindiael; Tort, Adriano B L

    2018-04-01

    The hippocampal formation is involved in navigation, and its neuronal activity exhibits a variety of spatial correlates (e.g., place cells, grid cells). The quantification of the information encoded by spikes has been standard procedure to identify which cells have spatial correlates. For place cells, most of the established metrics derive from Shannon's mutual information (Shannon, 1948), and convey information rate in bits/s or bits/spike (Skaggs et al., 1993, 1996). Despite their widespread use, the performance of these metrics in relation to the original mutual information metric has never been investigated. In this work, using simulated and real data, we find that the current information metrics correlate less with the accuracy of spatial decoding than the original mutual information metric. We also find that the top informative cells may differ among metrics, and show a surrogate-based normalization that yields comparable spatial information estimates. Since different information metrics may identify different neuronal populations, we discuss current and alternative definitions of spatially informative cells, which affect the metric choice. Copyright © 2018 IBRO. Published by Elsevier Ltd. All rights reserved.

  11. Probabilistic metric spaces

    CERN Document Server

    Schweizer, B

    2005-01-01

    Topics include special classes of probabilistic metric spaces, topologies, and several related structures, such as probabilistic normed and inner-product spaces. 1983 edition, updated with 3 new appendixes. Includes 17 illustrations.

  12. IT Project Management Metrics

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Many software and IT projects fail in completing theirs objectives because different causes of which the management of the projects has a high weight. In order to have successfully projects, lessons learned have to be used, historical data to be collected and metrics and indicators have to be computed and used to compare them with past projects and avoid failure to happen. This paper presents some metrics that can be used for the IT project management.

  13. “Packaging Logistics” for improving performance in supply chains: the role of meta-standards implementation

    Directory of Open Access Journals (Sweden)

    Jesús García-Arca

    2016-06-01

    Full Text Available Abstract Integrated packaging design process arises as one key factor that could contribute to increasing the efficiency and sustainability of supply chains. This approach is called “packaging logistics”. Another managerial approach that is related to efficiency and sustainability is the implementation of “meta-standards” (ISO 9000 and ISO 14000. As both “packaging logistics” and “meta-standards” can contribute positively towards supply chain efficiency and sustainability, it becomes relevant to examine the relationship between them. In this study, we explore the potential relation between “meta-standards” (ISO 9000 and ISO 14000 and the implementation of the key aspects of “packaging logistics”. In addition, we explore the relation between “packaging logistics” and aspects of performance. This is accomplished through an exploratory study of the packaging design process of Spanish manufacturers in the food industry.

  14. Gamut Volume Index: a color preference metric based on meta-analysis and optimized colour samples.

    Science.gov (United States)

    Liu, Qiang; Huang, Zheng; Xiao, Kaida; Pointer, Michael R; Westland, Stephen; Luo, M Ronnier

    2017-07-10

    A novel metric named Gamut Volume Index (GVI) is proposed for evaluating the colour preference of lighting. This metric is based on the absolute gamut volume of optimized colour samples. The optimal colour set of the proposed metric was obtained by optimizing the weighted average correlation between the metric predictions and the subjective ratings for 8 psychophysical studies. The performance of 20 typical colour metrics was also investigated, which included colour difference based metrics, gamut based metrics, memory based metrics as well as combined metrics. It was found that the proposed GVI outperformed the existing counterparts, especially for the conditions where correlated colour temperatures differed.

  15. Tide or Tsunami? The Impact of Metrics on Scholarly Research

    Science.gov (United States)

    Bonnell, Andrew G.

    2016-01-01

    Australian universities are increasingly resorting to the use of journal metrics such as impact factors and ranking lists in appraisal and promotion processes, and are starting to set quantitative "performance expectations" which make use of such journal-based metrics. The widespread use and misuse of research metrics is leading to…

  16. Engineering of poly(ethylene glycol) chain-tethered surfaces to obtain high-performance bionanoparticles

    International Nuclear Information System (INIS)

    Nagasaki, Yukio

    2010-01-01

    A poly(ethylene glycol)-b-poly[2-(N,N-dimethylamino)ethyl methacrylate] block copolymer possessing a reactive acetal group at the end of the poly(ethylene glycol) (PEG) chain, that is, acetal-PEG-b-PAMA, was synthesized by a proprietary polymerization technique. Gold nanoparticles (GNPs) were prepared using the thus-synthesized acetal-PEG-b-PAMA block copolymer. The PEG-b-PAMA not only acted as a reducing agent of aurate ions but also attached to the nanoparticle surface. The GNPs obtained had controlled sizes and narrow size distributions. They also showed high dispersion stability owing to the presence of PEG tethering chains on the surface. The same strategy should also be applicable to the fabrication of semiconductor quantum dots and inorganic porous nanoparticles. The preparation of nanoparticles in situ, i.e. in the presence of acetal-PEG-b-PAMA, gave the most densely packed polymer layer on the nanoparticle surface; this was not observed when coating preformed nanoparticles. PEG/polyamine block copolymer was more functional on the metal surface than PEG/polyamine graft copolymer, as confirmed by angle-dependent x-ray photoelectron spectroscopy. We successfully solubilized the C 60 fullerene into aqueous media using acetal-PEG-b-PAMA. A C 60 /acetal-PEG-b-PAMA complex with a size below 5 nm was obtained by dialysis. The preparation and characterization of these materials are described in this review. (topical review)

  17. Myeloma-Derived Light Chain Paired with a Diagnostic Monoclonal Antibody Hinders Immunoassay Performance.

    Science.gov (United States)

    Tu, Bailin; Tieman, Bryan; Moore, Jeffrey; Pan, You; Muerhoff, A Scott

    2017-06-01

    Monoclonal antibodies are widely used as the capture and detection reagents in diagnostic immunoassays. In the past, myeloma fusion partners expressing endogenous heavy and/or light chains were often used to generate hybridoma cell lines. As a result, mixed populations of antibodies were produced that can cause inaccurate test results, poor antibody stability, and significant lot-to-lot variability. We describe one such scenario where the P3U1 (P3X63Ag8U.1) myeloma fusion partner was used in the generation of a hybridoma producing protein induced vitamin K absence/antagonist-II (PIVKA II) antibody. The hybridoma produces three subpopulations of immunoglobulin as determined by ion exchange (IEx) chromatography that exhibit varying degrees of immunoreactivity (0%, 50%, or 100%) to the target antigen as determined by Surface Plasmon Resonance. To produce an antibody with the highest possible sensitivity and specificity, the antigen-specific heavy and light chain variable domains (VH and VL) were cloned from the hybridoma and tethered to murine IgG1 and kappa scaffolds. The resulting recombinant antibody was expressed in Chinese hamster ovary cells and is compatible for use in a diagnostic immunoassay.

  18. Brief educational interventions to improve performance on novel quality metrics in ambulatory settings in Kenya: A multi-site pre-post effectiveness trial.

    Science.gov (United States)

    Korom, Robert Ryan; Onguka, Stephanie; Halestrap, Peter; McAlhaney, Maureen; Adam, Mary

    2017-01-01

    The quality of primary care delivered in resource-limited settings is low. While some progress has been made using educational interventions, it is not yet clear how to sustainably improve care for common acute illnesses in the outpatient setting. Management of urinary tract infection is particularly important in resource-limited settings, where it is commonly diagnosed and associated with high levels of antimicrobial resistance. We describe an educational programme targeting non-physician health care providers and its effects on various clinical quality metrics for urinary tract infection. We used a series of educational interventions including 1) formal introduction of a clinical practice guideline, 2) peer-to-peer chart review, and 3) peer-reviewed literature describing local antimicrobial resistance patterns. Interventions were conducted for clinical officers (N = 24) at two outpatient centers near Nairobi, Kenya over a one-year period. The medical records of 474 patients with urinary tract infections were scored on five clinical quality metrics, with the primary outcome being the proportion of cases in which the guideline-recommended antibiotic was prescribed. The results at baseline and following each intervention were compared using chi-squared tests and unpaired two-tailed T-tests for significance. Logistic regression analysis was used to assess for possible confounders. Clinician adherence to the guideline-recommended antibiotic improved significantly during the study period, from 19% at baseline to 68% following all interventions (Χ2 = 150.7, p quality score also improved significantly from an average of 2.16 to 3.00 on a five-point scale (t = 6.58, p educational interventions can dramatically improve the quality of care for routine acute illnesses in the outpatient setting. Measurement of quality metrics allows for further targeting of educational interventions depending on the needs of the providers and the community. Further study is needed to expand

  19. Spectral sensitization of TiO2 by new hemicyanine dyes in dye solar cell yielding enhanced photovoltage: Probing chain length effect on performance

    International Nuclear Information System (INIS)

    Fadadu, Kishan B.; Soni, Saurabh S.

    2013-01-01

    Graphical abstract: New hemicyanine dyes based on indolenine moiety were utilized as light harvesting materials in dye sensitized solar cell. Chain lengths of the molecules were varied in order to study its effect of chain length on the performance of DSSC. Electron transfer kinetic of the solar cell was studied and it was found that the chain length changes the electron transfer kinetic. We have achieved remarkable photovoltage and overall performance of DSSC. Highlights: ► New hemicyanine dyes based on indolenine moiety were utilized as light harvesting materials in dye sensitized solar cell. ► Chain lengths of the molecules were varied in order to study its effect of chain length on the performance of DSSC. ► Electron transfer kinetic of the solar cell was studied and it was found that the chain length changes the electron transfer kinetic. -- Abstract: New hemicyanine dyes having indole nucleus with different alkyl chain length were synthesized and characterized using 1 H NMR and mass spectroscopy. These dyes were used to sensitize the TiO 2 film in dye sensitized solar cell. Nanocrystalline dye solar cells were fabricated and characterized using various electrochemical techniques. It has been found that the alkyl chain length present in the dye molecules greatly affects the overall performance of dye solar cell. Molecules having longer alkyl chain are having better sensitizers which enhance V oc to significant extent. Chain length dependent performance was further investigated using Tafel polarization and impedance method. Hemicyanine dye having hexyl chain has outperformed by attaining 2.9% solar to electricity conversion efficiency

  20. How the reverse supply chain impacts the firm’s financial performance: A manufacturer’s perspective

    DEFF Research Database (Denmark)

    Larsen, Samuel Brüning; Masi, Donato; Feibert, Diana Cordes

    2018-01-01

    Purpose – Although manufacturers have traditionally viewed reverse supply chain (RSC) activities as a costly nuisance, more recent research has found that the RSC can contribute to the firm’s financial performance. This paper identifies how the RSC can contribute to the firm’s financial performance...... identified 15 distinct opportunities for RSC-contribution to the firm’s financial performance. The study has identified 56 contingency factors. These are related to market segmentation, customer behavior, product design, and the firm’s distributor network. The study includes an interrelationship network...... between factors and the RSC’s contribution.  Practical implications – For managers, the paper shows how the RSC can increase the firm’s financial performance and which contingency factors determine whether operating a RSC will be financially viable if implemented. Originality/Value – While extant...

  1. Green supply chain management and environmental performance of firms in the bioenergy sector in Brazil: An exploratory survey

    International Nuclear Information System (INIS)

    Stefanelli, Nelson Oliveira; Jabbour, Charbel José Chiappetta; Jabbour, Ana Beatriz Lopes de Sousa

    2014-01-01

    To achieve sustainable development, supply chains must become greener. In this context, the importance of green supply chain management (GSCM) increases because it can contribute to improving firms’ environmental performance (EP). However, little is known about these subjects in the context of firms in the bioenergy sector (sugarcane and ethanol production in Brazil). Thus, the objective of this work is to present the results of a survey conducted on 80 micro-, small-, and medium-sized firms that are suppliers in the Brazilian bioenergy sector (sugarcane and ethanol production). These results indicate that GSCM practices strengthen the EP of firms in the sector. Therefore, this article contributes to the existing literature because it addresses the relationship between GSCM and EP in an understudied sector (sugarcane and ethanol production). - Highlights: • To achieve sustainable development, supply chains must become greener. • Little is known about these subjects in the context of firms in the bioenergy sector. • This research is based on an exploratory survey. • GSCM practices strengthen the EP of firms in the sector

  2. High Performance All-Polymer Solar Cell via Polymer Side-Chain Engineering

    KAUST Repository

    Zhou, Yan; Kurosawa, Tadanori; Ma, Wei; Guo, Yikun; Fang, Lei; Vandewal, Koen; Diao, Ying; Wang, Chenggong; Yan, Qifan; Reinspach, Julia; Mei, Jianguo; Appleton, Anthony Lucas; Koleilat, Ghada I.; Gao, Yongli; Mannsfeld, Stefan C. B.; Salleo, Alberto; Ade, Harald; Zhao, Dahui; Bao, Zhenan

    2014-01-01

    An average PCE of 4.2% for all-polymer solar cells from 20 devices with an average J SC of 8.8 mA cm-2 are obtained with a donor-acceptor pair despite a low LUMO-LUMO energy offset of less than 0.1 eV. Incorporation of polystyrene side chains into the donor polymer is found to assist in reducing the phase separation domain length scale, and results in more than 20% enhancement of PCE. We observe a direct correlation between the short circuit current (J SC) and the length scale of BHJ phase separation, which is obtained by resonance soft X-ray scattering. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  3. High Performance All-Polymer Solar Cell via Polymer Side-Chain Engineering

    KAUST Repository

    Zhou, Yan

    2014-03-24

    An average PCE of 4.2% for all-polymer solar cells from 20 devices with an average J SC of 8.8 mA cm-2 are obtained with a donor-acceptor pair despite a low LUMO-LUMO energy offset of less than 0.1 eV. Incorporation of polystyrene side chains into the donor polymer is found to assist in reducing the phase separation domain length scale, and results in more than 20% enhancement of PCE. We observe a direct correlation between the short circuit current (J SC) and the length scale of BHJ phase separation, which is obtained by resonance soft X-ray scattering. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. Investigation of supply chain integration performance in export-focused manufacturing industry in China and an assessment of a local gymnastic products manufacturer.

    OpenAIRE

    Zhang, Chong

    2008-01-01

    The purpose of this dissertation is try to find out the gap between exported-focused Chinese manufacturing industry practice with world-class supply chain integration performance in developed countries. This is helpful to reveal and explain difficulties and obstacles that limit local suppliers to pursue better supply chain performance. A case study is used to analyze performance of a specific Chinese producer�¢����s supply chain and operations management. The results found out that wide...

  5. Employee Job Satisfaction and Job Performance: A Case Study in a Franchised Retail-Chain Organization

    OpenAIRE

    Wong Yvonne; Rabeatul Husna Abdull Rahman; Choi Sang Long

    2014-01-01

    This study examines the relationship between job satisfaction and job performance among the employees. Job satisfaction is being discussed in term of its nine facets: pay, promotion, supervision, fringe benefits, contingent rewards, operating procedures, co-workers, nature of works and communication. On the other hand, job performance is being viewed in the aspects of contextual performance and task performance. The result of the study found that the two variables (job satisfaction and job pe...

  6. Fault Management Metrics

    Science.gov (United States)

    Johnson, Stephen B.; Ghoshal, Sudipto; Haste, Deepak; Moore, Craig

    2017-01-01

    This paper describes the theory and considerations in the application of metrics to measure the effectiveness of fault management. Fault management refers here to the operational aspect of system health management, and as such is considered as a meta-control loop that operates to preserve or maximize the system's ability to achieve its goals in the face of current or prospective failure. As a suite of control loops, the metrics to estimate and measure the effectiveness of fault management are similar to those of classical control loops in being divided into two major classes: state estimation, and state control. State estimation metrics can be classified into lower-level subdivisions for detection coverage, detection effectiveness, fault isolation and fault identification (diagnostics), and failure prognosis. State control metrics can be classified into response determination effectiveness and response effectiveness. These metrics are applied to each and every fault management control loop in the system, for each failure to which they apply, and probabilistically summed to determine the effectiveness of these fault management control loops to preserve the relevant system goals that they are intended to protect.

  7. Deep Transfer Metric Learning.

    Science.gov (United States)

    Junlin Hu; Jiwen Lu; Yap-Peng Tan; Jie Zhou

    2016-12-01

    Conventional metric learning methods usually assume that the training and test samples are captured in similar scenarios so that their distributions are assumed to be the same. This assumption does not hold in many real visual recognition applications, especially when samples are captured across different data sets. In this paper, we propose a new deep transfer metric learning (DTML) method to learn a set of hierarchical nonlinear transformations for cross-domain visual recognition by transferring discriminative knowledge from the labeled source domain to the unlabeled target domain. Specifically, our DTML learns a deep metric network by maximizing the inter-class variations and minimizing the intra-class variations, and minimizing the distribution divergence between the source domain and the target domain at the top layer of the network. To better exploit the discriminative information from the source domain, we further develop a deeply supervised transfer metric learning (DSTML) method by including an additional objective on DTML, where the output of both the hidden layers and the top layer are optimized jointly. To preserve the local manifold of input data points in the metric space, we present two new methods, DTML with autoencoder regularization and DSTML with autoencoder regularization. Experimental results on face verification, person re-identification, and handwritten digit recognition validate the effectiveness of the proposed methods.

  8. Logistic chain modelling

    NARCIS (Netherlands)

    Slats, P.A.; Bhola, B.; Evers, J.J.M.; Dijkhuizen, G.

    1995-01-01

    Logistic chain modelling is very important in improving the overall performance of the total logistic chain. Logistic models provide support for a large range of applications, such as analysing bottlenecks, improving customer service, configuring new logistic chains and adapting existing chains to

  9. Cyber threat metrics.

    Energy Technology Data Exchange (ETDEWEB)

    Frye, Jason Neal; Veitch, Cynthia K.; Mateski, Mark Elliot; Michalski, John T.; Harris, James Mark; Trevino, Cassandra M.; Maruoka, Scott

    2012-03-01

    Threats are generally much easier to list than to describe, and much easier to describe than to measure. As a result, many organizations list threats. Fewer describe them in useful terms, and still fewer measure them in meaningful ways. This is particularly true in the dynamic and nebulous domain of cyber threats - a domain that tends to resist easy measurement and, in some cases, appears to defy any measurement. We believe the problem is tractable. In this report we describe threat metrics and models for characterizing threats consistently and unambiguously. The purpose of this report is to support the Operational Threat Assessment (OTA) phase of risk and vulnerability assessment. To this end, we focus on the task of characterizing cyber threats using consistent threat metrics and models. In particular, we address threat metrics and models for describing malicious cyber threats to US FCEB agencies and systems.

  10. Robustness of climate metrics under climate policy ambiguity

    International Nuclear Information System (INIS)

    Ekholm, Tommi; Lindroos, Tomi J.; Savolainen, Ilkka

    2013-01-01

    Highlights: • We assess the economic impacts of using different climate metrics. • The setting is cost-efficient scenarios for three interpretations of the 2C target. • With each target setting, the optimal metric is different. • Therefore policy ambiguity prevents the selection of an optimal metric. • Robust metric values that perform well with multiple policy targets however exist. -- Abstract: A wide array of alternatives has been proposed as the common metrics with which to compare the climate impacts of different emission types. Different physical and economic metrics and their parameterizations give diverse weights between e.g. CH 4 and CO 2 , and fixing the metric from one perspective makes it sub-optimal from another. As the aims of global climate policy involve some degree of ambiguity, it is not possible to determine a metric that would be optimal and consistent with all policy aims. This paper evaluates the cost implications of using predetermined metrics in cost-efficient mitigation scenarios. Three formulations of the 2 °C target, including both deterministic and stochastic approaches, shared a wide range of metric values for CH 4 with which the mitigation costs are only slightly above the cost-optimal levels. Therefore, although ambiguity in current policy might prevent us from selecting an optimal metric, it can be possible to select robust metric values that perform well with multiple policy targets

  11. Marketing communication metrics for social media

    OpenAIRE

    Töllinen, Aarne; Karjaluoto, Heikki

    2011-01-01

    The objective of this paper is to develop a conceptual framework for measuring the effectiveness of social media marketing communications. Specifically, we study whether the existing marketing communications performance metrics are still valid in the changing digitalised communications landscape, or whether it is time to rethink them, or even to devise entirely new metrics. Recent advances in information technology and marketing bring a need to re-examine measurement models. We combine two im...

  12. Brief educational interventions to improve performance on novel quality metrics in ambulatory settings in Kenya: A multi-site pre-post effectiveness trial

    Science.gov (United States)

    Onguka, Stephanie; Halestrap, Peter; McAlhaney, Maureen; Adam, Mary

    2017-01-01

    Background The quality of primary care delivered in resource-limited settings is low. While some progress has been made using educational interventions, it is not yet clear how to sustainably improve care for common acute illnesses in the outpatient setting. Management of urinary tract infection is particularly important in resource-limited settings, where it is commonly diagnosed and associated with high levels of antimicrobial resistance. We describe an educational programme targeting non-physician health care providers and its effects on various clinical quality metrics for urinary tract infection. Methods We used a series of educational interventions including 1) formal introduction of a clinical practice guideline, 2) peer-to-peer chart review, and 3) peer-reviewed literature describing local antimicrobial resistance patterns. Interventions were conducted for clinical officers (N = 24) at two outpatient centers near Nairobi, Kenya over a one-year period. The medical records of 474 patients with urinary tract infections were scored on five clinical quality metrics, with the primary outcome being the proportion of cases in which the guideline-recommended antibiotic was prescribed. The results at baseline and following each intervention were compared using chi-squared tests and unpaired two-tailed T-tests for significance. Logistic regression analysis was used to assess for possible confounders. Findings Clinician adherence to the guideline-recommended antibiotic improved significantly during the study period, from 19% at baseline to 68% following all interventions (Χ2 = 150.7, p < 0.001). The secondary outcome of composite quality score also improved significantly from an average of 2.16 to 3.00 on a five-point scale (t = 6.58, p < 0.001). Interventions had different effects at different clinical sites; the primary outcome of appropriate antibiotic prescription was met 83% of the time at Penda Health, and 50% of the time at AICKH, possibly reflecting

  13. Classification in medical images using adaptive metric k-NN

    Science.gov (United States)

    Chen, C.; Chernoff, K.; Karemore, G.; Lo, P.; Nielsen, M.; Lauze, F.

    2010-03-01

    The performance of the k-nearest neighborhoods (k-NN) classifier is highly dependent on the distance metric used to identify the k nearest neighbors of the query points. The standard Euclidean distance is commonly used in practice. This paper investigates the performance of k-NN classifier with respect to different adaptive metrics in the context of medical imaging. We propose using adaptive metrics such that the structure of the data is better described, introducing some unsupervised learning knowledge in k-NN. We investigated four different metrics are estimated: a theoretical metric based on the assumption that images are drawn from Brownian Image Model (BIM), the normalized metric based on variance of the data, the empirical metric is based on the empirical covariance matrix of the unlabeled data, and an optimized metric obtained by minimizing the classification error. The spectral structure of the empirical covariance also leads to Principal Component Analysis (PCA) performed on it which results the subspace metrics. The metrics are evaluated on two data sets: lateral X-rays of the lumbar aortic/spine region, where we use k-NN for performing abdominal aorta calcification detection; and mammograms, where we use k-NN for breast cancer risk assessment. The results show that appropriate choice of metric can improve classification.

  14. Role of Information and Communication Technology in Green Supply Chain Implementation and Companies’ Performance

    Directory of Open Access Journals (Sweden)

    José Roberto Mendoza-Fong

    2018-05-01

    Full Text Available The aim of this study is to quantify the impact of information and communication technologies (ICT and its technological updates on the success of the green supply chain (GSC implementation, as well as the benefits this affords. This research is applied to the Mexican maquiladora export industry. A model of structural equations is presented to know the importance of the integration of ICT, combined with the implementation of GSC and the generation of benefits with the use of ICT. The results indicate that there is a direct, positive effect (PE and significant among the four latent variables (LTV analyzed but the most noteworthy is the indirect effect that the variable updating the ICT has on the benefits of GSC, through the variable mediators’ implementation of a GSC, since the direct effect of updating the ICT on the benefits of the implementation of GSC does not become significant. Whereby, it is recommended that the industry integrates and updates its ICT since, using the integrated and updated ICT and the implementation of a GSC, a series of economic, productive and environmental benefits will be created.

  15. How inventory consignment programs can improve supply chain performance: a process oriented perspective

    Directory of Open Access Journals (Sweden)

    Manoj K. Malhotra

    2017-09-01

    Full Text Available Abstract Inventory Consignment (IC has largely been viewed as a method of shifting the ownership and cost burden of inventory from buyer to supplier to benefit the buyer. This primarily accounting based viewpoint has largely ignored process changes that can occur for both the buyer and supplier. This study addresses this gap in the extant literature by examining IC from a process perspective by specifically addressing: (1 the implementation issues in an IC program for both buyers and suppliers and (2 the financial and operational benefits from IC for both buyers and suppliers. Using the case study methodology, we examined three firms that had varying degrees of involvement and roles in IC programs. Based on our detailed work with these three firms and their supply chain linkages, we offer a series of propositions to demonstrate that IC is not just an accounting issue, but also a management practice that requires a series of process changes in order to be successful. These process changes in turn provide operational benefits for both buyers and suppliers via the mechanism of increased demand visibility to suppliers. Through this approach, this study makes a contribution beyond what has been examined in the prior literature which has mostly dealt with IC as an accounting based inventory management issue.

  16. Organising Life-cycles in Supply Chains: Linking Environmental Performance to Managerial Designs

    NARCIS (Netherlands)

    Hagelaar, J.L.F.; Vorst, van der J.G.A.J.; Marcelis, W.J.

    2005-01-01

    In recent years increasing attention has been given to continual environmental performance improvement. Although we support the thesis that organisations are able to continuously improve their environmental performance, we state that truly higher levels of environmental care are reached only via

  17. The Effect of Additional Mooring Chains on the Motion Performance of a Floating Wind Turbine with a Tension Leg Platform

    Directory of Open Access Journals (Sweden)

    Jinping Ou

    2012-04-01

    Full Text Available In this study, two types of floating offshore wind turbine (FOWT systems were proposed: a traditional tension leg platform (TLP type and a new TLP type with additional mooring chains. They were both based on the National Renewable Energy Laboratory 5 MW offshore wind turbine model. Taking the coupled effect of dynamic response of the top wind turbine, tower support structure and lower mooring system into consideration, not only were the 1/60 scale model tests for the two floating wind turbine systems done in HIT’s wind-wave tunnel according to the typical design conditions in IEC61400-3 code, but also the numerical simulations corresponding to the scaled model tests were performed by advanced numerical tools. As a result, the numerical results displayed good agreement with the test data. Moreover, the additional mooring chains could play an active role in reducing the surge displacement, surge acceleration and typical tension leg force responses of the FOWT system, which is very beneficial for ensuring the good operational performance and the safety of the FOWT system.

  18. A proposal for a process of selection, bibliometrics and sistemic review of articles on the supply chain performance evaluation

    Directory of Open Access Journals (Sweden)

    Emílio Della Bruna Junior

    2012-11-01

    Full Text Available Supply Chain Management has been widely studied through scientific researches and publications, presenting well grounded concepts in both academic and business areas. Meanwhile, the topic of Performance Evaluation is newer and its concepts are still under consolidation. In this context, the paper aims to propose a process for selection and analysis of a portfolio of scientific articles on Supply Chain Performance Evaluation. To do this, it illustrates a process for searching and selecting articles from scientific databases and analyzes them through Bibliometrics and Systemic Review. As a result, a portfolio of 18 papers aligned to the research subject was obtained and the journals, authors and articles with higher academic relevance were identified. The Systemic Review, in turn, has highlighted the knowledge gaps of the evaluated papers and, from these, developed a research question and objective aiming to answer them. These latter will guide the continuity of this research. Finally, it is expected that the proposed process can be useful for researchers wishing to apply it to their research topics.

  19. Relationship characteristics and performance in fresh produce supply chains: the case of the Mexican avocado industry

    NARCIS (Netherlands)

    Coronado, J.J.A.; Bijman, J.; Omta, S.W.F.; Oude Lansink, A.G.J.M.

    2010-01-01

    Abstract Inter-organisational relations research has shown that relationship characteristics can influence performance in seller-buyer transactions. Using a transaction cost economics approach, this research shows that relational elements such as expectation of continuity reduce the transaction

  20. Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain

    DEFF Research Database (Denmark)

    Govindan, Kannan; Khodaverdi, Roohollah; Vafadarnikjoo, Amin

    2015-01-01

    for organizations to enhance their environmental performance and achieve competitive advantages. This study pioneers using the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets to handle the important and causal relationships between GSCM practices and performances...... to evaluate the efficiency of the proposed method. The results reveal "internal management support", "green purchasing" and "ISO 14001 certification" are the most significant GSCM practices. The practical results of this study offer useful insights for managers to become more environmentally responsible...

  1. Metrical Phonology and SLA.

    Science.gov (United States)

    Tice, Bradley S.

    Metrical phonology, a linguistic process of phonological stress assessment and diagrammatic simplification of sentence and word stress, is discussed as it is found in the English language with the intention that it may be used in second language instruction. Stress is defined by its physical and acoustical correlates, and the principles of…

  2. Metrics for Probabilistic Geometries

    DEFF Research Database (Denmark)

    Tosi, Alessandra; Hauberg, Søren; Vellido, Alfredo

    2014-01-01

    the distribution over mappings is given by a Gaussian process. We treat the corresponding latent variable model as a Riemannian manifold and we use the expectation of the metric under the Gaussian process prior to define interpolating paths and measure distance between latent points. We show how distances...

  3. Coordinating a Service Supply Chain under Arms Offset Program’s Intervention by Performance-Based Contracting

    Directory of Open Access Journals (Sweden)

    Yi-Kuei Lin

    2016-01-01

    Full Text Available This paper investigates a support service supply chain for coordinating with a local third-party logistics provider by arms offset program’s intervention and develops a performance-based contracting framework for the coordinating problem, which remains scarce in the literatures. The performance-based contracting framework evaluates payments and profits for the support service by a game-theoretical approach with principal-agent model. We prove that the proposed framework is an effective tool in acquiring the balance between maximum profit and minimum payment for both parties in the coordinating problem without moral hazard issue. A numerical study consolidates the formulated schemes as contracting preference for both parties’ decision with a higher profit margin at a lower customer’s payment.

  4. The Effects of Partnership Management on Supply Chain Cooperative Performance: A Case Study of High-Tech Industry

    Science.gov (United States)

    Wu, Mei-Ying; Chang, Yun-Ju; Weng, Yung-Chien

    2009-08-01

    With the structural change of global supply chains, the relationship between manufacturers and suppliers has transformed into a long-term partnership. Thus, this study aims to explore the partnership between manufacturers and suppliers in Taiwan's high-tech industry. Four constructs, including partner characteristic, partnership quality, partnership closeness, and cooperative performance, induced from previous literatures are used to construct the research framework and hypotheses. A questionnaire survey is then performed on executives and staffs involved in the high-tech industry. The proposed framework and hypotheses are empirically validated through confirmatory factory analysis and structural equation modeling. It is expected that the research findings can serve as a reference for Taiwan's high-tech industry on building partnerships.

  5. Software Quality Assurance Metrics

    Science.gov (United States)

    McRae, Kalindra A.

    2004-01-01

    Software Quality Assurance (SQA) is a planned and systematic set of activities that ensures conformance of software life cycle processes and products conform to requirements, standards and procedures. In software development, software quality means meeting requirements and a degree of excellence and refinement of a project or product. Software Quality is a set of attributes of a software product by which its quality is described and evaluated. The set of attributes includes functionality, reliability, usability, efficiency, maintainability, and portability. Software Metrics help us understand the technical process that is used to develop a product. The process is measured to improve it and the product is measured to increase quality throughout the life cycle of software. Software Metrics are measurements of the quality of software. Software is measured to indicate the quality of the product, to assess the productivity of the people who produce the product, to assess the benefits derived from new software engineering methods and tools, to form a baseline for estimation, and to help justify requests for new tools or additional training. Any part of the software development can be measured. If Software Metrics are implemented in software development, it can save time, money, and allow the organization to identify the caused of defects which have the greatest effect on software development. The summer of 2004, I worked with Cynthia Calhoun and Frank Robinson in the Software Assurance/Risk Management department. My task was to research and collect, compile, and analyze SQA Metrics that have been used in other projects that are not currently being used by the SA team and report them to the Software Assurance team to see if any metrics can be implemented in their software assurance life cycle process.

  6. Performance Prediction of a MongoDB-Based Traceability System in Smart Factory Supply Chains

    Science.gov (United States)

    Kang, Yong-Shin; Park, Il-Ha; Youm, Sekyoung

    2016-01-01

    In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (IoT) and BigData. To this end, based on existing research, we analyzed traceability requirements and an event schema for storing traceability data in MongoDB, a document-based Not Only SQL (NoSQL) database. Next, we analyzed the algorithm of the most representative traceability query and defined a query-level performance model, which is composed of response times for the components of the traceability query algorithm. Next, this performance model was solidified as a linear regression model because the response times increase linearly by a benchmark test. Finally, for a case analysis, we applied the performance model to a virtual automobile parts logistics. As a result of the case study, we verified the scalability of a MongoDB-based traceability system and predicted the point when data node servers should be expanded in this case. The traceability system performance assessment method proposed in this research can be used as a decision-making tool for hardware capacity planning during the initial stage of construction of traceability systems and during their operational phase. PMID:27983654

  7. Performance Prediction of a MongoDB-Based Traceability System in Smart Factory Supply Chains.

    Science.gov (United States)

    Kang, Yong-Shin; Park, Il-Ha; Youm, Sekyoung

    2016-12-14

    In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (IoT) and BigData. To this end, based on existing research, we analyzed traceability requirements and an event schema for storing traceability data in MongoDB, a document-based Not Only SQL (NoSQL) database. Next, we analyzed the algorithm of the most representative traceability query and defined a query-level performance model, which is composed of response times for the components of the traceability query algorithm. Next, this performance model was solidified as a linear regression model because the response times increase linearly by a benchmark test. Finally, for a case analysis, we applied the performance model to a virtual automobile parts logistics. As a result of the case study, we verified the scalability of a MongoDB-based traceability system and predicted the point when data node servers should be expanded in this case. The traceability system performance assessment method proposed in this research can be used as a decision-making tool for hardware capacity planning during the initial stage of construction of traceability systems and during their operational phase.

  8. Performance Prediction of a MongoDB-Based Traceability System in Smart Factory Supply Chains

    Directory of Open Access Journals (Sweden)

    Yong-Shin Kang

    2016-12-01

    Full Text Available In the future, with the advent of the smart factory era, manufacturing and logistics processes will become more complex, and the complexity and criticality of traceability will further increase. This research aims at developing a performance assessment method to verify scalability when implementing traceability systems based on key technologies for smart factories, such as Internet of Things (IoT and BigData. To this end, based on existing research, we analyzed traceability requirements and an event schema for storing traceability data in MongoDB, a document-based Not Only SQL (NoSQL database. Next, we analyzed the algorithm of the most representative traceability query and defined a query-level performance model, which is composed of response times for the components of the traceability query algorithm. Next, this performance model was solidified as a linear regression model because the response times increase linearly by a benchmark test. Finally, for a case analysis, we applied the performance model to a virtual automobile parts logistics. As a result of the case study, we verified the scalability of a MongoDB-based traceability system and predicted the point when data node servers should be expanded in this case. The traceability system performance assessment method proposed in this research can be used as a decision-making tool for hardware capacity planning during the initial stage of construction of traceability systems and during their operational phase.

  9. Inter-plant coordination and its relationships with supply chain integration and operational performance

    DEFF Research Database (Denmark)

    Yang, Cheng; Chaudhuri, Atanu; Farooq, Sami

    2016-01-01

    Based on the data obtained from the sixth version of International Manufacturing Strategy Survey (IMSS VI), this paper explores the relationships at the level of plant between (1) inter-plant coordination and operational performance, and (2) between inter-plant coordination and internal/external ......Based on the data obtained from the sixth version of International Manufacturing Strategy Survey (IMSS VI), this paper explores the relationships at the level of plant between (1) inter-plant coordination and operational performance, and (2) between inter-plant coordination and internal...

  10. Performance in vegetable supply chains: the role of Guanxi networks and buyer-seller relationships

    NARCIS (Netherlands)

    Lu Hualiang,; Feng, S.; Trienekens, J.H.; Omta, S.W.F.

    2008-01-01

    Guanxi is the lifeblood of the Chinese society. It also becomes a hot topic for achieving business success in China. The primary goal of this exploratory study is to empirically investigate the effect of guanxi networks on buyer¿seller relationships and market performance for the Chinese vegetable

  11. The role of psychological flexibility in the demands-exhaustion-performance chain

    NARCIS (Netherlands)

    Onwezen, M.; Biron, M.; van Veldhoven, M.J.P.M.

    2014-01-01

    Employees in the service sector deal with a variety of emotional job demands due to interactions with clients. Emotional job demands often result in heightened levels of emotional exhaustion and decreased levels of performance. The current study aims to explore whether the adaptive behavioural

  12. The Metric of Colour Space

    DEFF Research Database (Denmark)

    Gravesen, Jens

    2015-01-01

    and found the MacAdam ellipses which are often interpreted as defining the metric tensor at their centres. An important question is whether it is possible to define colour coordinates such that the Euclidean distance in these coordinates correspond to human perception. Using cubic splines to represent......The space of colours is a fascinating space. It is a real vector space, but no matter what inner product you put on the space the resulting Euclidean distance does not correspond to human perception of difference between colours. In 1942 MacAdam performed the first experiments on colour matching...

  13. A novel high-performance thin layer chromatography method for quantification of long chain aliphatic hydrocarbons from Cissus quadrangularis

    Directory of Open Access Journals (Sweden)

    Vandana Jain

    2016-08-01

    Full Text Available Context: A high-performance thin layer chromatography (HPTLC is an analytical technique, which can be used for the determination of constituents or marker components in various parts of the plants. Earlier studies have estimated phytoconstituents from the stem and other aerial plant parts of Cissus quadrangularis Linn. Estimation of hydrocarbons can also be successfully done using HPTLC technique using suitable derivatization. Aims: To develop and validate a simple and rapid method for the estimation of long chain aliphatic hydrocarbons from the leaves of C. quadrangularis using HPTLC technique. Methods: Precoated silica gel 60 F254 plates were used as stationary phase. The mobile phase used was hexane (100 %. The detection of spots was carried out using berberine sulphate as detecting reagent. Results: The method was validated in terms of linearity, sensitivity, accuracy, and precision. Linearity range was found to be 2-10 µg/mL, limit of detection 0.127 µg/mL, and limit of quantification 0.384 µg/mL. Conclusions: A novel, simple, accurate, precise and sensitive HPTLC method has been developed and validated for the estimation of long chain aliphatic hydrocarbons obtained from the leaves of C. quadrangularis Linn.

  14. Metrics for Diagnosing Undersampling in Monte Carlo Tally Estimates

    International Nuclear Information System (INIS)

    Perfetti, Christopher M.; Rearden, Bradley T.

    2015-01-01

    This study explored the potential of using Markov chain convergence diagnostics to predict the prevalence and magnitude of biases due to undersampling in Monte Carlo eigenvalue and flux tally estimates. Five metrics were applied to two models of pressurized water reactor fuel assemblies and their potential for identifying undersampling biases was evaluated by comparing the calculated test metrics with known biases in the tallies. Three of the five undersampling metrics showed the potential to accurately predict the behavior of undersampling biases in the responses examined in this study.

  15. Decision Analysis for Metric Selection on a Clinical Quality Scorecard.

    Science.gov (United States)

    Guth, Rebecca M; Storey, Patricia E; Vitale, Michael; Markan-Aurora, Sumita; Gordon, Randolph; Prevost, Traci Q; Dunagan, Wm Claiborne; Woeltje, Keith F

    2016-09-01

    Clinical quality scorecards are used by health care institutions to monitor clinical performance and drive quality improvement. Because of the rapid proliferation of quality metrics in health care, BJC HealthCare found it increasingly difficult to select the most impactful scorecard metrics while still monitoring metrics for regulatory purposes. A 7-step measure selection process was implemented incorporating Kepner-Tregoe Decision Analysis, which is a systematic process that considers key criteria that must be satisfied in order to make the best decision. The decision analysis process evaluates what metrics will most appropriately fulfill these criteria, as well as identifies potential risks associated with a particular metric in order to identify threats to its implementation. Using this process, a list of 750 potential metrics was narrowed to 25 that were selected for scorecard inclusion. This decision analysis process created a more transparent, reproducible approach for selecting quality metrics for clinical quality scorecards. © The Author(s) 2015.

  16. The influence of sodium-polyacrilic macromolecular chain length to the powder detergents secondary washing performances

    Directory of Open Access Journals (Sweden)

    Milojević Vladimir S.

    2013-01-01

    Full Text Available In order to investigate the influence of sodium-polyacrylate polymer as a co-builder in addition to the carbonate/zeolite builders in detergent builder system, secondary washing performances of powder laundry detergent containing equal percentage of sodium polyacrylate with the different weight average molar mass, Mw, have been examined. The value of the degree of whiteness, elongation at break, and total residue content are the most important secondary washing performances that significantly depend on sodium polyacrylates efficiency used as crystal inhibitors, stabilizers for suspended soil, and agents for soil redisposition prevention on fabric surface. The values of the whiteness and elongation at break for cotton fabrics increase with the increase of average weight molecular mass, Mw, up to the value of 70000 g/mol, while in the case of further increase of weight average molar mass up to the 250000 g/mol value of these characteristics begin to decline. The values of the total residue content after combustion indicate an increase in its content with the increase of weight average molar mass of 3000 to 70000 g/mol, while the highest value has been reached in the sample of detergent containing sodiumpolyacrilic with the weight average molar mass of 250000 g/mol. All detergent samples show no significant dependence of the secondary washing characteristics on the number of washing cycles.

  17. Ingestion of branched-chain amino acids and tryptophan during sustained exercise in man: failure to affect performance

    DEFF Research Database (Denmark)

    Van Hall, Gerrit; Raaymakers, J S; Saris, W H

    1995-01-01

    1. An increased uptake of tryptophan in the brain may increase serotoninergic activity and recently has been suggested to be a cause of fatigue during prolonged exercise. The present study, therefore, investigates whether ingestion of tryptophan or the competing branched-chain amino acids (BCAAs......) affect performance. Ten endurance-trained male athletes were studied during cycle exercise at 70-75% maximal power output, while ingesting, ad random and double-blind, drinks that contained 6% sucrose (control) or 6% sucrose supplemented with (1) tryptophan (3 g l-1), (2) a low dose of BCAA (6 g l-1...... tryptophan ingestion caused a 7- to 20-fold increase. Exercise time to exhaustion was not different between treatments (122 +/- 3 min). 3. The data suggest that manipulation of tryptophan supply to the brain either has no additional effect upon serotoninergic activity during prolonged exhaustive exercise...

  18. IDENTIFICATION OF MYCOBACTERIUM GENAVENSE IN A DIANA MONKEY (CERCOPITHECUS DIANA) BY POLYMERASE CHAIN REACTION AND HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY.

    Science.gov (United States)

    Kelly, Kathleen M; Wack, Allison N; Bradway, Dan; Simons, Brian W; Bronson, Ellen; Osterhout, Gerard; Parrish, Nicole M; Montali, Richard J

    2015-06-01

    A 25-yr-old Diana monkey (Cercopithecus diana) with a 1.5-yr history of chronic colitis and diarrhea was found to have disseminated granulomatous disease with intralesional acid fast bacilli. Bacilli were identified as Mycobacterium genavense by polymerase chain reaction, sequencing of the 16S-23S ribosomal RNA intergenic spacer (ITS) gene, and mycolic acid analysis by high-performance liquid chromatography. Mycobacterium genavense is a common cause of mycobacteriosis in free-ranging and captive birds. In addition, recognition of opportunistic infection in human immunodeficiency virus-positive patients is increasing. Disease manifestations of M. genavense are similar to Mycobacterium avium complex (MAC) and include fever, wasting, and diarrhea with disseminated disease. Similar clinical signs and lesions were observed in this monkey. Mycobacterium genavense should be considered as a differential for disseminated mycobacterial disease in nonhuman primates as this agent can mimic MAC and related mycobacteria.

  19. Enterprise Sustainment Metrics

    Science.gov (United States)

    2015-06-19

    are negatively impacting KPIs” (Parmenter, 2010: 31). In the current state, the Air Force’s AA and PBL metrics are once again split . AA does...must have the authority to “take immediate action to rectify situations that are negatively impacting KPIs” (Parmenter, 2010: 31). 3. Measuring...highest profitability and shareholder value for each company” (2014: 273). By systematically diagraming a process, either through a swim lane flowchart

  20. Strengthening community health supply chain performance through an integrated approach: Using mHealth technology and multilevel teams in Malawi.

    Science.gov (United States)

    Shieshia, Mildred; Noel, Megan; Andersson, Sarah; Felling, Barbara; Alva, Soumya; Agarwal, Smisha; Lefevre, Amnesty; Misomali, Amos; Chimphanga, Boniface; Nsona, Humphreys; Chandani, Yasmin

    2014-12-01

    In 2010, 7.6 million children under five died globally - largely due to preventable diseases. Majority of these deaths occurred in sub-Saharan Africa. As a strategy to reduce child mortality, the Government of Malawi, in 2008, initiated integrated community case management allowing health surveillance assistants (HSAs) to treat sick children in communities. Malawi however, faces health infrastructure challenges, including weak supply chain systems leading to low product availability. A baseline assessment conducted in 2010 identified data visibility, transport and motivation of HSAs as challenges to continuous product availability. The project designed a mHealth tool as part of two interventions to address these challenges. A mobile health (mHealth) technology - cStock, for reporting on community stock data - was designed and implemented as an integral component of Enhanced Management (EM) and Efficient Product Transport (EPT) interventions. We developed a feasibility and acceptability framework to evaluate the effectiveness and predict the likelihood of scalability and ownership of the interventions. Mixed methods were used to conduct baseline and follow up assessments in May 2010 and February 2013, respectively. Routine monitoring data on community stock level reports, from cStock, were used to analyze supply chain performance over 18-month period in the intervention groups. Mean stock reporting rate by HSAs was 94% in EM group (n = 393) and 79% in EPT group (n = 253); mean reporting completeness was 85% and 65%, respectively. Lead time for HSA drug resupply over the 18-month period was, on average, 12.8 days in EM and 26.4 days in EPT, and mean stock out rate for 6 tracer products was significantly lower in EM compared to EPT group. Results demonstrate that cStock was feasible and acceptable to test users in Malawi, and that based on comparison with the EPT group, the team component of the EM group was an essential pairing with cStock to achieve the best

  1. Strengthening community health supply chain performance through an integrated approach: Using mHealth technology and multilevel teams in Malawi

    Science.gov (United States)

    Shieshia, Mildred; Noel, Megan; Andersson, Sarah; Felling, Barbara; Alva, Soumya; Agarwal, Smisha; Lefevre, Amnesty; Misomali, Amos; Chimphanga, Boniface; Nsona, Humphreys; Chandani, Yasmin

    2014-01-01

    Background In 2010, 7.6 million children under five died globally – largely due to preventable diseases. Majority of these deaths occurred in sub–Saharan Africa. As a strategy to reduce child mortality, the Government of Malawi, in 2008, initiated integrated community case management allowing health surveillance assistants (HSAs) to treat sick children in communities. Malawi however, faces health infrastructure challenges, including weak supply chain systems leading to low product availability. A baseline assessment conducted in 2010 identified data visibility, transport and motivation of HSAs as challenges to continuous product availability. The project designed a mHealth tool as part of two interventions to address these challenges. Methods A mobile health (mHealth) technology – cStock, for reporting on community stock data – was designed and implemented as an integral component of Enhanced Management (EM) and Efficient Product Transport (EPT) interventions. We developed a feasibility and acceptability framework to evaluate the effectiveness and predict the likelihood of scalability and ownership of the interventions. Mixed methods were used to conduct baseline and follow up assessments in May 2010 and February 2013, respectively. Routine monitoring data on community stock level reports, from cStock, were used to analyze supply chain performance over 18–month period in the intervention groups. Results Mean stock reporting rate by HSAs was 94% in EM group (n = 393) and 79% in EPT group (n = 253); mean reporting completeness was 85% and 65%, respectively. Lead time for HSA drug resupply over the 18–month period was, on average, 12.8 days in EM and 26.4 days in EPT, and mean stock out rate for 6 tracer products was significantly lower in EM compared to EPT group. Conclusions Results demonstrate that cStock was feasible and acceptable to test users in Malawi, and that based on comparison with the EPT group, the team component of the EM group was an

  2. Robust environmental closed-loop supply chain design under uncertainty

    International Nuclear Information System (INIS)

    MA, Ruimin; YAO, Lifei; JIN, Maozhu; REN, Peiyu; LV, Zhihan

    2016-01-01

    With the fast developments in product remanufacturing to improve economic and environmental performance, an environmental closed-loop supply (ECLSC) chain is important for enterprises' competitiveness. In this paper, a robust ECLSC network is investigated which includes multiple plants, collection centers, demand zones, and products, and consists of both forward and reverse supply chains. First, a robust multi-objective mixed integer nonlinear programming model is proposed to deal with ECLSC considering two conflicting objectives simultaneously, as well as the uncertain nature of the supply chain. Cost parameters of the supply chain and demand fluctuations are subject to uncertainty. The first objective function aims to minimize the economical cost and the second objective function is to minimize the environmental influence. Then, the proposed model is solved as a single-objective mixed integer programming model applying the LP-metrics method. Finally, numerical example has been presented to test the model. The results indicate that the proposed model is applicable in practice.

  3. Study of the performance of the data acquisition chain for BCM1F software upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Hempel, Maria

    2011-05-15

    BCM1F, the Fast Beam Conditions Monitor, is a sub-detector of the CMS experiment at LHC. It monitors the beam halo and the collision product rates inside the CMS experiment. The data acquisition of BCM1F is independent from CMS. Major components of the BCM1F back-end are discriminators, ADCs, TDCs, look-up tables and a Veto module. In the thesis the performance of several components is investigated. For the TDC two different readout modes are compared, and the impact of a Ring Buffer in the readout software was investigated. For one discriminator the thresholds of all channels are investigated and offsets of about 10 mV are found. Data taken in the LHC runs with the TDC are presented and discussed. Also the application of BCM1F as a luminosity monitor is studied. (orig.)

  4. Study of the performance of the data acquisition chain for BCM1F software upgrade

    International Nuclear Information System (INIS)

    Hempel, Maria

    2011-05-01

    BCM1F, the Fast Beam Conditions Monitor, is a sub-detector of the CMS experiment at LHC. It monitors the beam halo and the collision product rates inside the CMS experiment. The data acquisition of BCM1F is independent from CMS. Major components of the BCM1F back-end are discriminators, ADCs, TDCs, look-up tables and a Veto module. In the thesis the performance of several components is investigated. For the TDC two different readout modes are compared, and the impact of a Ring Buffer in the readout software was investigated. For one discriminator the thresholds of all channels are investigated and offsets of about 10 mV are found. Data taken in the LHC runs with the TDC are presented and discussed. Also the application of BCM1F as a luminosity monitor is studied. (orig.)

  5. Language Games: University Responses to Ranking Metrics

    Science.gov (United States)

    Heffernan, Troy A.; Heffernan, Amanda

    2018-01-01

    League tables of universities that measure performance in various ways are now commonplace, with numerous bodies providing their own rankings of how institutions throughout the world are seen to be performing on a range of metrics. This paper uses Lyotard's notion of language games to theorise that universities are regaining some power over being…

  6. Integrated supply chain risk management

    OpenAIRE

    Riaan Bredell; Jackie Walters

    2007-01-01

    Integrated supply chain risk management (ISCRM) has become indispensable to the theory and practice of supply chain management. The economic and political realities of the modern world require not only a different approach to supply chain management, but also bold steps to secure supply chain performance and sustainable wealth creation. Integrated supply chain risk management provides supply chain organisations with a level of insight into their supply chains yet to be achieved. If correctly ...

  7. Symmetries of the dual metrics

    International Nuclear Information System (INIS)

    Baleanu, D.

    1998-01-01

    The geometric duality between the metric g μν and a Killing tensor K μν is studied. The conditions were found when the symmetries of the metric g μν and the dual metric K μν are the same. Dual spinning space was constructed without introduction of torsion. The general results are applied to the case of Kerr-Newmann metric

  8. Supply Chain Connectivity: Enhancing Participation in the Global Supply Chain

    OpenAIRE

    Patalinghug, Epictetus E.

    2015-01-01

    Supply chain connectivity is vital for the efficient flow of trade among APEC economies. This paper reviews the literature and supply chain management, describes the barriers to enhancing participation in global supply chain, analyzes the various measures of supply chain performance, and suggests steps for the Philippines to fully reap the benefits of the global value chain.

  9. Asset sustainability index : quick guide : proposed metrics for the long-term financial sustainability of highway networks.

    Science.gov (United States)

    2013-04-01

    "This report provides a Quick Guide to the concept of asset sustainability metrics. Such metrics address the long-term performance of highway assets based upon expected expenditure levels. : It examines how such metrics are used in Australia, Britain...

  10. THE ROLE OF ARTICLE LEVEL METRICS IN SCIENTIFIC PUBLISHING

    Directory of Open Access Journals (Sweden)

    Vladimir TRAJKOVSKI

    2016-04-01

    Full Text Available Emerging metrics based on article-level does not exclude traditional metrics based on citations to the journal, but complements them. Article-level metrics (ALMs provide a wide range of metrics about the uptake of an individual journal article by the scientific community after publication. They include citations, statistics of usage, discussions in online comments and social media, social bookmarking, and recommendations. In this editorial, the role of article level metrics in publishing scientific papers has been described. Article-Level Metrics (ALMs are rapidly emerging as important tools to quantify how individual articles are being discussed, shared, and used. Data sources depend on the tool, but they include classic metrics indicators depending on citations, academic social networks (Mendeley, CiteULike, Delicious and social media (Facebook, Twitter, blogs, and Youtube. The most popular tools used to apply this new metrics are: Public Library of Science - Article-Level Metrics, Altmetric, Impactstory and Plum Analytics. Journal Impact Factor (JIF does not consider impact or influence beyond citations count as this count reflected only through Thomson Reuters’ Web of Science® database. JIF provides indicator related to the journal, but not related to a published paper. Thus, altmetrics now becomes an alternative metrics for performance assessment of individual scientists and their contributed scholarly publications. Macedonian scholarly publishers have to work on implementing of article level metrics in their e-journals. It is the way to increase their visibility and impact in the world of science.

  11. Performance optimization of a photovoltaic chain conversion by the PWM control

    Science.gov (United States)

    Rezoug, M. R.; Chenni, R.

    2017-02-01

    The interest of the research technique of maximum power point tracking, exposed by this article, lays in the fact of work instantly on the real characteristic of the photovoltaic module. This work is based on instantaneous measurements of its terminals' current & voltage as well as the exploitation of the characteristic "Power - Duty Cycle" to define rapidly the Duty cycle in which power reaches its maximum value. To ensure instantaneous tracking of the point of maximum power, we use "DC/DC Converter" based on "Pulse Wave Modulation's (PWM) Command" controlled by an algorithm implanted in a microcontroller's memory. This algorithm responds to the quick changes in climate (sunlight and temperature). To identify the control parameters "VPV & IPV" at any change in operating conditions, sensors are projected. this algorithm applied to the Duty cycle of the static converter enables the control of power supplied by the photovoltaic generator thanks to oscillatory movement around the MPP. Our article highlights the importance of this technique which lays in its simplicity and performance in changing climatic conditions. This efficiency is confirmed by experimental tests and this technique will improve its predecessors.

  12. Kerr metric in cosmological background

    Energy Technology Data Exchange (ETDEWEB)

    Vaidya, P C [Gujarat Univ., Ahmedabad (India). Dept. of Mathematics

    1977-06-01

    A metric satisfying Einstein's equation is given which in the vicinity of the source reduces to the well-known Kerr metric and which at large distances reduces to the Robertson-Walker metric of a nomogeneous cosmological model. The radius of the event horizon of the Kerr black hole in the cosmological background is found out.

  13. The Supplementation of Branched-Chain Amino Acids, Arginine, and Citrulline Improves Endurance Exercise Performance in Two Consecutive Days

    Directory of Open Access Journals (Sweden)

    I-Shiung Cheng, Yi-Wen Wang, I-Fan Chen, Gi-Sheng Hsu, Chun-Fang Hsueh, Chen-Kang Chang

    2016-09-01

    Full Text Available The central nervous system plays a crucial role in fatigue during endurance exercise. Branched-chain amino acids (BCAA could reduce cerebral serotonin synthesis by competing with its precursor tryptophan for crossing the blood brain barrier. Arginine and citrulline could prevent excess hyperammonemia accompanied by BCAA supplementation. This study investigated the combination of BCAA, arginine, and citrulline on endurance performance in two consecutive days. Seven male and three female endurance runners ingested 0.17 g·kg-1 BCAA, 0.05 g·kg-1 arginine and 0.05 g·kg-1 citrulline (AA trial or placebo (PL trial in a randomized cross-over design. Each trial contained a 5000 m time trial on the first day, and a 10000 m time trial on the second day. The AA trial had significantly better performance in 5000 m (AA: 1065.7 ± 33.9 s; PL: 1100.5 ± 40.4 s and 10000 m (AA: 2292.0 ± 211.3 s; PL: 2375.6 ± 244.2 s. The two trials reported similar ratings of perceived exertion. After exercise, the AA trial had significantly lower tryptophan/BCAA ratio, similar NH3, and significantly higher urea concentrations. In conclusion, the supplementation could enhance time-trial performance in two consecutive days in endurance runners, possibly through the inhibition of cerebral serotonin synthesis by BCAA and the prevention of excess hyperammonemia by increased urea genesis.

  14. Markov Chain Ontology Analysis (MCOA).

    Science.gov (United States)

    Frost, H Robert; McCray, Alexa T

    2012-02-03

    Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data. In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate its use through a MCOA-based enrichment analysis application based on a generative model of gene activation. MCOA models the classes in an ontology, the instances from an associated dataset and all directional inter-class, class-to-instance and inter-instance relationships as a single finite ergodic Markov chain. The adjusted transition probability matrix for this Markov chain enables the calculation of eigenvector values that quantify the importance of each ontology class relative to other classes and the associated data set members. On both controlled Gene Ontology (GO) data sets created with Escherichia coli, Drosophila melanogaster and Homo sapiens annotations and real gene expression data extracted from the Gene Expression Omnibus (GEO), the MCOA enrichment analysis approach provides the best performance of comparable state-of-the-art methods. A methodology based on Markov chain models and network analytic metrics can help detect the relevant signal within large, highly interdependent and noisy data sets and, for applications such as enrichment analysis, has been shown to generate superior performance on both real and simulated data relative to existing state-of-the-art approaches.

  15. Avaliação comparativa do desempenho de três cadeias de suprimentos em manufatura Comparative performance assessment in three supply-chains in manufacturing

    Directory of Open Access Journals (Sweden)

    Miguel Afonso Sellitto

    2006-12-01

    Full Text Available Este trabalho apresenta um caso de avaliação do desempenho de três cadeias de suprimentos em manufatura. Este tipo de avaliação pode realimentar ações de controle que visem a atingir objetivos estratégicos da cadeia e pode ser útil em benchmarking. A metodologia proposta parte do modelo SCOR de gestão de cadeias de suprimento. As idéias do modelo foram estruturadas e associadas a dimensões de desempenho, cujas importâncias relativas foram calculadas por especialistas, com o auxílio do AHP. As dimensões foram estruturadas em vinte e cinco indicadores categóricos, avaliados pelos pesquisadores e por gestores das cadeias. A metodologia foi aplicada em três cadeias de suprimentos com similaridades. Os resultados foram analisados e entende-se que possam servir como passo intermediário em direção a uma eventual futura teoria sobre medição de desempenho em cadeias de suprimentos.This paper presents a case in which the performance of three supply-chains in manufacturing had been assessed. Performance assessment can feedback strategic control in supply-chain management and can be useful in benchmarking processes. The employed methodology is derived from the SCOR model supply-chain management reference model. Ideas from the model were structured and associated to performance dimensions in supply-chains, prioritized by experts with the aid of AHP. Dimensions were structured in twenty-five categorical indicators, assessed by researchers and managers of the supply-chains. The methodology was applied in three supply-chains, with similarities. Results were analyzed and we think that can perform an intermediate step toward a future theory regarding performance measurements in supply-chains.

  16. Chemical variability along the value chains of turmeric (Curcuma longa): a comparison of nuclear magnetic resonance spectroscopy and high performance thin layer chromatography.

    Science.gov (United States)

    Booker, Anthony; Frommenwiler, Debora; Johnston, Deborah; Umealajekwu, Chinenye; Reich, Eike; Heinrich, Michael

    2014-03-14

    Herbal medicine value chains have generally been overlooked compared with food commodities. Not surprisingly, revenue generation tends to be weighted towards the end of the chain and consequently the farmers and producers are the lowest paid beneficiaries. Value chains have an impact both on the livelihood of producers and on the composition and quality of products commonly sold locally and globally and consequently on the consumers. In order to understand the impact of value chains on the composition of products, we studied the production conditions for turmeric (Curcuma longa) and the metabolomic composition of products derived from it. We aimed at integrating these two components in order to gain a better understanding of the effect of different value chains on the livelihoods of some producers. This interdisciplinary project uses a mixed methods approach. Case studies were undertaken on two separate sites in India. Data was initially gathered on herbal medicine value chains by means of semi-structured interviews and non-participant observations. Samples were collected from locations in India, Europe and the USA and analysed using (1)H NMR spectroscopy coupled with multivariate analysis software and with high performance thin layer chromatography (HPTLC). We investigate medicinal plant value chains and interpret the impact different value chains have on some aspects of the livelihoods of producers in India and, for the first time, analytically assess the chemical variability and quality implications that different value chains may have on the products available to end users in Europe. There are benefits to farmers that belonged to an integrated chain and the resulting products were subject to a higher standard of processing and storage. By using analytical methods, including HPTLC and (1)H NMR spectroscopy, it has been possible to correlate some variations in product composition for selected producers and identify strengths and weaknesses of some types of value

  17. Learning Low-Dimensional Metrics

    OpenAIRE

    Jain, Lalit; Mason, Blake; Nowak, Robert

    2017-01-01

    This paper investigates the theoretical foundations of metric learning, focused on three key questions that are not fully addressed in prior work: 1) we consider learning general low-dimensional (low-rank) metrics as well as sparse metrics; 2) we develop upper and lower (minimax)bounds on the generalization error; 3) we quantify the sample complexity of metric learning in terms of the dimension of the feature space and the dimension/rank of the underlying metric;4) we also bound the accuracy ...

  18. Supply chain management in the fashion retail industry: a multi-method approach for the optimisation of performances

    OpenAIRE

    Martino, Giada

    2016-01-01

    2014 - 2015 Fashion and Apparel Supply Chains work in a very fast-changing environment always demanding better quality, higher availability of products, broader assortments and shorter delivery times. Then, an efficient Supply Chain Management can make the difference between success or failure in the market. In this context, this thesis analyses the characteristics of this particular industry at different levels. Starting from the analysis of the whole Supply Chain, aimed at id...

  19. Effects of carbohydrate, branched-chain amino acids, and arginine in recovery period on the subsequent performance in wrestlers

    Directory of Open Access Journals (Sweden)

    Jang Tsong-Rong

    2011-11-01

    Full Text Available Abstract Many athletes need to participate in multiple events in a single day. The efficient post-exercise glycogen recovery may be critical for the performance in subsequent exercise. This study examined whether post-exercise carbohydrate supplementation could restore the performance in the subsequent simulated wrestling match. The effect of branched-chain amino acids and arginine on glucose disposal and performance was also investigated. Nine well-trained male wrestlers participated in 3 trials in a random order. Each trial contained 3 matches with a 1-hr rest between match 1 and 2, and a 2-hr rest between match 2 and 3. Each match contained 3 exercise periods interspersed with 1-min rests. The subjects alternated 10-s all-out sprints and 20-s rests in each exercise period. At the end of match 2, 3 different supplementations were consumed: 1.2 g/kg glucose (CHO trial, 1 g/kg glucose + 0.1 g/kg Arg + 0.1 g/kg BCAA (CHO+AA trial, or water (placebo trial. The peak and average power in the 3 matches was similar in the 3 trials. After the supplementation, CHO and CHO+AA trial showed significantly higher glucose and insulin, and lower glycerol and non-esterified fatty acid concentrations than the placebo trial. There was no significant difference in these biochemical parameters between the CHO and CHO+AA trials. Supplementation of carbohydrate with or without BCAA and arginine during the post-match period had no effect on the performance in the following simulated match in wrestlers. In addition, BCAA and arginine did not provide additional insulinemic effect.

  20. Association of Plasma Neurofilament Light Chain with Neocortical Amyloid-β Load and Cognitive Performance in Cognitively Normal Elderly Participants.

    Science.gov (United States)

    Chatterjee, Pratishtha; Goozee, Kathryn; Sohrabi, Hamid R; Shen, Kaikai; Shah, Tejal; Asih, Prita R; Dave, Preeti; ManYan, Candice; Taddei, Kevin; Chung, Roger; Zetterberg, Henrik; Blennow, Kaj; Martins, Ralph N

    2018-01-01

    The disruption of neurofilament, an axonal cytoskeletal protein, in neurodegenerative conditions may result in neuronal damage and its release into the cerebrospinal fluid and blood. In Alzheimer's disease (AD), neurofilament light chain (NFL), a neurofilament subunit, is elevated in the cerebrospinal fluid and blood. Investigate the association of plasma NFL with preclinical-AD features, such as high neocortical amyloid-β load (NAL) and subjective memory complaints, and cognitive performance in cognitively normal older adults. Plasma NFL concentrations were measured employing the single molecule array platform in participants from the Kerr Anglican Retirement Village Initiative in Ageing Health cohort, aged 65- 90 years. Participants underwent a battery of neuropsychological testing to evaluate cognitive performance and were categorized as low NAL (NAL-, n = 65) and high NAL (NAL+, n = 35) assessed via PET, and further stratified into subjective memory complainers (SMC; nNAL- = 51, nNAL+ = 25) and non-SMC (nNAL- = 14, nNAL+ = 10) based on the Memory Assessment Clinic- Questionnaire. Plasma NFL inversely correlated with cognitive performance. No significant difference in NFL was observed between NAL+ and NAL- participants; however, within APOEɛ4 non-carriers, higher NAL was observed in individuals with NFL concentrations within quartiles 3 and 4 (versus quartile 1). Additionally, within the NAL+ participants, SMC had a trend of higher NFL compared to non-SMC. Plasma NFL is inversely associated with cognitive performance in elderly individuals. While plasma NFL may not reflect NAL in individuals with normal global cognition, the current observations indicate that onset of axonal injury, reflected by increased plasma NFL, within the preclinical phase of AD may contribute to the pathogenesis of AD.