Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks

International Nuclear Information System (INIS)

Zhang, Di; Evangelisti, Sara; Lettieri, Paola; Papageorgiou, Lazaros G.

2016-01-01

Highlights: • An MILP model is formulated for energy consumption scheduling among smart homes. • Environmental and economic aspects are both addressed. • The model is implemented on an example with data profiles from the UK. • Pareto-optimal curves between cost and CO_2 emissions are obtained. • Real-time pricing and critical peak pricing schemes are investigated. - Abstract: Microgrids are promising in reducing energy consumption and carbon emissions, compared with the current centralised energy generation systems. Smart homes are becoming popular for their lower energy cost and provision of comfort. Flexible energy-consuming household tasks can be scheduled co-ordinately among multiple smart homes to reduce economic cost and CO_2. However, the electricity tariff is not always positively correlated with CO_2 intensity. In this work, a mixed integer linear programming (MILP) model is proposed to schedule the energy consumption within smart homes using a microgrid system. The daily power consumption tasks are scheduled by coupling environmental and economic sustainability in a multi-objective optimisation with ε-constraint method. The two conflicting objectives are to minimise the daily energy cost and CO_2 emissions. Distributed energy resources (DER) operation and electricity-consumption household tasks are scheduled based on electricity tariff, CO_2 intensity and electricity task time window. The proposed model is implemented on a smart building of 30 homes under three different price schemes. Electricity tariff and CO_2 intensity profiles of the UK are employed for the case study. The Pareto curves for cost and CO_2 emissions present the trade-off between the two conflicting objectives.

Economic appraisal of deployment schedules for high-level radioactive waste repositories

International Nuclear Information System (INIS)

Hoai Linh Doan, Phuong; Duquesnoy, T.; Devezeaux de Lavergne, J.G.

2017-01-01

The deep geological repository (DGR) is considered as the definitive management solution for high-level radioactive waste (HLW). Countries defined different DGR implementation schedules, depending on their national context and political choices. We raise the question of the economic grounds of such political decisions by providing an economic analysis of different DGR schedules. We investigate the optimal timing for DGR commissioning based on available Nuclear Energy Agency (NEA) data (2013). Two scenarios are considered: -1) rescheduling the deployment of a DGR with the same initial operational period, and -2) rescheduling the deployment of a DGR with a shorter operational period, i.e. initial closure date. Given the long timescales of such projects, we also take into account the discounting effect. The first finding is that it appears more economically favorable to extend the interim storage than to dispose of the HLW immediately. Countries which chose 'immediate' disposal are willing to accept higher costs to quickly solve the problem. Another interesting result is that there is an optimal solution with respect to the length of DGR operational period and the waste flow for disposal. Based on data provided by the Organisation for Economic Cooperation and Development (OECD)/Nuclear Energy Agency (NEA), we find an optimal operating period of about 15 years with a flow of 2000 tHM/year. (authors)

Economic appraisal of deployment schedules for high-level radioactive waste repositories

Directory of Open Access Journals (Sweden)

Doan Phuong Hoai Linh

2017-01-01

Full Text Available The deep geological repository (DGR is considered as the definitive management solution for high-level waste (HLW. Countries defined different DGR implementation schedules, depending on their national context and political choices. We raise the question of the economic grounds of such political decisions by providing an economic analysis of different DGR schedules. We investigate the optimal timing for DGR commissioning based on available Nuclear Energy Agency (NEA data (2013. Two scenarios are considered: (1 rescheduling the deployment of a DGR with the same initial operational period, and (2 rescheduling the deployment of a DGR with a shorter operational period, i.e. initial closure date. Given the long timescales of such projects, we also take into account the discounting effect. The first finding is that it appears more economically favorable to extend the interim storage than to dispose of the HLW immediately. Countries which chose “immediate” disposal are willing to accept higher costs to quickly solve the problem. Another interesting result is that there is an optimal solution with respect to the length of DGR operational period and the waste flow for disposal. Based on data provided by the Organisation for Economic Cooperation and Development (OECD/Nuclear Energy Agency (NEA, we find an optimal operating period of about 15 years with a flow of 2000 tHM/year.

T-L Plane Abstraction-Based Energy-Efficient Real-Time Scheduling for Multi-Core Wireless Sensors

Directory of Open Access Journals (Sweden)

Youngmin Kim

2016-07-01

Full Text Available Energy efficiency is considered as a critical requirement for wireless sensor networks. As more wireless sensor nodes are equipped with multi-cores, there are emerging needs for energy-efficient real-time scheduling algorithms. The T-L plane-based scheme is known to be an optimal global scheduling technique for periodic real-time tasks on multi-cores. Unfortunately, there has been a scarcity of studies on extending T-L plane-based scheduling algorithms to exploit energy-saving techniques. In this paper, we propose a new T-L plane-based algorithm enabling energy-efficient real-time scheduling on multi-core sensor nodes with dynamic power management (DPM. Our approach addresses the overhead of processor mode transitions and reduces fragmentations of the idle time, which are inherent in T-L plane-based algorithms. Our experimental results show the effectiveness of the proposed algorithm compared to other energy-aware scheduling methods on T-L plane abstraction.

An efficient schedule based data aggregation using node mobility for wireless sensor network

DEFF Research Database (Denmark)

Dnyaneshwar, Mantri; Pawar, Pranav M.; Prasad, Neeli R.

2014-01-01

In the Wireless Sensor Networks, (WSNs) a key challenge is to schedule the activities of the mobile node for improvement in throughput, energy consumption and delay. This paper proposes efficient schedule based data aggregation algorithm using node mobility (SDNM). It considers the cluster...

Nonmyopic Sensor Scheduling and its Efficient Implementation for Target Tracking Applications

Directory of Open Access Journals (Sweden)

Morrell Darryl

2006-01-01

Full Text Available We propose two nonmyopic sensor scheduling algorithms for target tracking applications. We consider a scenario where a bearing-only sensor is constrained to move in a finite number of directions to track a target in a two-dimensional plane. Both algorithms provide the best sensor sequence by minimizing a predicted expected scheduler cost over a finite time-horizon. The first algorithm approximately computes the scheduler costs based on the predicted covariance matrix of the tracker error. The second algorithm uses the unscented transform in conjunction with a particle filter to approximate covariance-based costs or information-theoretic costs. We also propose the use of two branch-and-bound-based optimal pruning algorithms for efficient implementation of the scheduling algorithms. We design the first pruning algorithm by combining branch-and-bound with a breadth-first search and a greedy-search; the second pruning algorithm combines branch-and-bound with a uniform-cost search. Simulation results demonstrate the advantage of nonmyopic scheduling over myopic scheduling and the significant savings in computational and memory resources when using the pruning algorithms.

Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach

International Nuclear Information System (INIS)

Zakariazadeh, Alireza; Jadid, Shahram; Siano, Pierluigi

2014-01-01

Highlights: • Environmental/economical scheduling of energy and reserve. • Simultaneous participation of loads in both energy and reserve scheduling. • Aggregate wind generation and demand uncertainties in a stochastic model. • Stochastic scheduling of energy and reserve in a distribution system. • Demand response providers’ participation in energy and reserve scheduling. - Abstract: In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented ε-constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period

TECHNICAL MAINTENANCE EFFICIENCY OF THE AIRCRAFT MAINTENANCE-FREE ON-BOARD SYSTEM BETWEEN SCHEDULED MAINTENANCES

Directory of Open Access Journals (Sweden)

A. M. Bronnikov

2017-01-01

Full Text Available The avionics concept of the maintenance-free on-board equipment implies the absence of necessity to maintain onboard systems between scheduled maintenance, preserving the required operational and technical characteristics; it should be achieved by automatic diagnosis of the technical condition and the application of active means of ensuring a failsafe design, allowing to change the structure of the system to maintain its functions in case of failure. It is supposed that such equipment will reduce substantially and in the limit eliminate traditional maintenance of aircraft between scheduled maintenance, ensuring maximum readiness for use, along with improving safety. The paper proposes a methodology for evaluating the efficiency of maintenance-free between scheduled maintenance aircraft system with homogeneous redundancy. The excessive redundant elements allow the system to accumulate failures which are repaired during the routine maintenance. If the number of failures of any reserve is approaching a critical value, the recovery of the on-board system (elimination of all failures is carried out between scheduled maintenance by conducting rescue and recovery operations. It is believed that service work leads to the elimination of all failures and completely updates the on-board system. The process of system operational status changes is described with the discrete-continuous model in the flight time. The average losses in the sorties and the average cost of operation are used as integrated efficiency indicators of system operation. For example, the evaluation of the operation efficiency of formalized on-board system with homogeneous redundancy demonstrates the efficiency of the proposed methodology and the possibility of its use while analyzing the efficiency of the maintenance-free operation equipment between scheduled periods. As well as a comparative analysis of maintenance-free operation efficiency of the on-board system with excessive

Comparison of heuristics for an economic lot scheduling problem with deliberated coproduction

Directory of Open Access Journals (Sweden)

Pilar I. Vidal-Carreras

2009-12-01

Full Text Available We built on the Economic Lot Scheduling Problem Scheduling (ELSP literature by making some modifications in order to introduce new constraints which had not been thoroughly studied with a view to simulating specific real situations. Specifically, our aim is to propose and simulate different scheduling policies for a new ELSP variant: Deliberated Coproduction. This problem comprises a product system in an ELSP environment in which we may choose if more than one product can be produced on the machine at a given time. We expressly consider the option of coproducing two products whose demand is not substitutable. In order to draw conclusions, a simulation model and its results were developed in the article by employing modified Bomberger data which include two items that could be produced simultaneously.

Efficient Energy Consumption Scheduling: Towards Effective Load Leveling

Directory of Open Access Journals (Sweden)

Yuan Hong

2017-01-01

Full Text Available Different agents in the smart grid infrastructure (e.g., households, buildings, communities consume energy with their own appliances, which may have adjustable usage schedules over a day, a month, a season or even a year. One of the major objectives of the smart grid is to flatten the demand load of numerous agents (viz. consumers, such that the peak load can be avoided and power supply can feed the demand load at anytime on the grid. To this end, we propose two Energy Consumption Scheduling (ECS problems for the appliances held by different agents at the demand side to effectively facilitate load leveling. Specifically, we mathematically model the ECS problems as Mixed-Integer Programming (MIP problems using the data collected from different agents (e.g., their appliances’ energy consumption in every time slot and the total number of required in-use time slots, specific preferences of the in-use time slots for their appliances. Furthermore, we propose a novel algorithm to efficiently and effectively solve the ECS problems with large-scale inputs (which are NP-hard. The experimental results demonstrate that our approach is significantly more efficient than standard benchmarks, such as CPLEX, while guaranteeing near-optimal outputs.

Efficient Work Team Scheduling: Using Psychological Models of Knowledge Retention to Improve Code Writing Efficiency

Directory of Open Access Journals (Sweden)

Michael J. Pelosi

2014-12-01

Full Text Available Development teams and programmers must retain critical information about their work during work intervals and gaps in order to improve future performance when work resumes. Despite time lapses, project managers want to maximize coding efficiency and effectiveness. By developing a mathematically justified, practically useful, and computationally tractable quantitative and cognitive model of learning and memory retention, this study establishes calculations designed to maximize scheduling payoff and optimize developer efficiency and effectiveness.

Energy Efficient Real-Time Scheduling Using DPM on Mobile Sensors with a Uniform Multi-Cores

Directory of Open Access Journals (Sweden)

Youngmin Kim

2017-12-01

Full Text Available In wireless sensor networks (WSNs, sensor nodes are deployed for collecting and analyzing data. These nodes use limited energy batteries for easy deployment and low cost. The use of limited energy batteries is closely related to the lifetime of the sensor nodes when using wireless sensor networks. Efficient-energy management is important to extending the lifetime of the sensor nodes. Most effort for improving power efficiency in tiny sensor nodes has focused mainly on reducing the power consumed during data transmission. However, recent emergence of sensor nodes equipped with multi-cores strongly requires attention to be given to the problem of reducing power consumption in multi-cores. In this paper, we propose an energy efficient scheduling method for sensor nodes supporting a uniform multi-cores. We extend the proposed T-Ler plane based scheduling for global optimal scheduling of a uniform multi-cores and multi-processors to enable power management using dynamic power management. In the proposed approach, processor selection for a scheduling and mapping method between the tasks and processors is proposed to efficiently utilize dynamic power management. Experiments show the effectiveness of the proposed approach compared to other existing methods.

A Market-Based Approach to Multi-factory Scheduling

Science.gov (United States)

Vytelingum, Perukrishnen; Rogers, Alex; MacBeth, Douglas K.; Dutta, Partha; Stranjak, Armin; Jennings, Nicholas R.

In this paper, we report on the design of a novel market-based approach for decentralised scheduling across multiple factories. Specifically, because of the limitations of scheduling in a centralised manner - which requires a center to have complete and perfect information for optimality and the truthful revelation of potentially commercially private preferences to that center - we advocate an informationally decentralised approach that is both agile and dynamic. In particular, this work adopts a market-based approach for decentralised scheduling by considering the different stakeholders representing different factories as self-interested, profit-motivated economic agents that trade resources for the scheduling of jobs. The overall schedule of these jobs is then an emergent behaviour of the strategic interaction of these trading agents bidding for resources in a market based on limited information and their own preferences. Using a simple (zero-intelligence) bidding strategy, we empirically demonstrate that our market-based approach achieves a lower bound efficiency of 84%. This represents a trade-off between a reasonable level of efficiency (compared to a centralised approach) and the desirable benefits of a decentralised solution.

An Efficient Downlink Scheduling Strategy Using Normal Graphs for Multiuser MIMO Wireless Systems

Science.gov (United States)

Chen, Jung-Chieh; Wu, Cheng-Hsuan; Lee, Yao-Nan; Wen, Chao-Kai

Inspired by the success of the low-density parity-check (LDPC) codes in the field of error-control coding, in this paper we propose transforming the downlink multiuser multiple-input multiple-output scheduling problem into an LDPC-like problem using the normal graph. Based on the normal graph framework, soft information, which indicates the probability that each user will be scheduled to transmit packets at the access point through a specified angle-frequency sub-channel, is exchanged among the local processors to iteratively optimize the multiuser transmission schedule. Computer simulations show that the proposed algorithm can efficiently schedule simultaneous multiuser transmission which then increases the overall channel utilization and reduces the average packet delay.

SUSTAINABLE ECONOMIC GROWTH AND ECO-EFFICIENCY

Directory of Open Access Journals (Sweden)

Mariana\tLUPAN

2015-06-01

Full Text Available The current economic and social contexts have brought forth the issues regarding growth and sustainability. The concept of growth has always been linked to an increase in consumption levels, and this inevitably led to pressures on the environment and on the resources that support human activity. Given these circumstances, the question whether we can avoid an environmental disaster while maintaining economic growth, has become more stringent. We chose to approach this aspect by examining the concept of eco-efficiency, a concept that embodies aspects of both economic efficiency and environmental efficiency. Eco-efficiency can be regarded as the effectiveness with which resources are used in order to create products and services that satisfy human needs. Based on this idea, the last decade has produced an increasing number of studies on eco-efficiency and how it can be measured and implemented in the production of goods and services, but also in the field regarding demand patterns. An analysis regarding the aspects of eco-efficiency at the macro level of the Romanian economy is in line with the current environmental concerns, thus I have chosen to cover these questions, as well as the evolution of the locale economy towards a more sustainable development. The outcome of the examined aspects shows that, in spite of an increase in eco-efficiency levels, energy and material consumption and emissions have increased. This raises the question if measuring economic and environmental efficiency by reporting to the GDP value is becoming obsolete and if there is a need to revaluate eco-efficiency indicators in order to measure the transition to a greener and more sustainable development from different points of view.

Efficiency of economic development models

Directory of Open Access Journals (Sweden)

Oana Camelia Iacob

2013-03-01

Full Text Available The world economy is becoming increasingly integrated. Integrating emerging economies of Asia, such as China and India increase competition on the world stage, putting pressure on the "actors" already existing. These developments have raised questions about the effectiveness of European development model, which focuses on a high level of equity, insurance and social protection. According to analysts, the world today faces three models of economic development with significant weight in the world: the European, American and Asian. This study will focus on analyzing European development model, and a brief comparison with the United States. In addition, this study aims to highlight the relationship between efficiency and social equity that occurs in each submodel in part of the European model, given that social and economic performance in the EU are not homogeneous. To achieve this, it is necessary to analyze different indicators related to social equity and efficiency respectively, to observe the performance of each submodel individually. The article analyzes data to determine submodel performance according to social equity and economic efficiency.

An Economics-Based Second Law Efficiency

Directory of Open Access Journals (Sweden)

John H. Lienhard

2013-07-01

Full Text Available Second Law efficiency is a useful parameter for characterizing the energy requirements of a system in relation to the limits of performance prescribed by the Laws of Thermodynamics. However, since energy costs typically represent less than 50% of the overall cost of product for many large-scale plants (and, in particular, for desalination plants, it is useful to have a parameter that can characterize both energetic and economic effects. In this paper, an economics-based Second Law efficiency is defined by analogy to the exergetic Second Law efficiency and is applied to several desalination systems. It is defined as the ratio of the minimum cost of producing a product divided by the actual cost of production. The minimum cost of producing the product is equal to the cost of the primary source of energy times the minimum amount of energy required, as governed by the Second Law. The analogy is used to show that thermodynamic irreversibilities can be assigned costs and compared directly to non-energetic costs, such as capital expenses, labor and other operating costs. The economics-based Second Law efficiency identifies costly sources of irreversibility and places these irreversibilities in context with the overall system costs. These principles are illustrated through three case studies. First, a simple analysis of multistage flash and multiple effect distillation systems is performed using available data. Second, a complete energetic and economic model of a reverse osmosis plant is developed to show how economic costs are influenced by energetics. Third, a complete energetic and economic model of a solar powered direct contact membrane distillation system is developed to illustrate the true costs associated with so-called free energy sources.

ECONOMIC EFFICIENCY - DETERMINED ELEMENT IN INVESTMENT DECISION

Directory of Open Access Journals (Sweden)

Claudia MUNGIU-PUPAZAN

2010-03-01

Full Text Available Economic activity of a country are conducted by industry, under branches and production sectors, each with special characteristics and conditions of work, which, of course, put their imprint on the organization manner of the production process By an analysis of the concept of economic efficiency of investment is found that this is an amount of qualitative factors, which gives the latter a complex character, aimed to improving activity in the area where are taking place to the putting into service of such investment, which can be modernization, bringing new equipments, reconstruction and development. Study the economic efficiency of investment involves, as a base, an analysis of causal factors that determine the decision in the afferent medium of risk. Corresponding to peculiarities of the production process, it requires a proper methodology of assessment the economic efficiency of investment, with specification to maintain the general principles for calculating the economic efficiency indicators and specific indicators come only to complete the picture of indicators of general, basic and supplementary already calculated in order to provide additional clues, afferent to branch, under-branch or sector of activity.

Economic Analysis of Factors Affecting Technical Efficiency of ...

African Journals Online (AJOL)

Economic Analysis of Factors Affecting Technical Efficiency of Smallholders ... socio-economic characteristics which influence technical efficiency in maize production. ... Ministry of Agriculture and livestock, records, books, reports and internet.

A basic period approach to the economic lot scheduling problem with shelf life considerations

NARCIS (Netherlands)

Soman, C.A.; van Donk, D.P.; Gaalman, G.J.C.

2004-01-01

Almost all the research on the economic lot scheduling problem (ELSP) considering limited shelf life of products has assumed a common cycle approach and an unrealistic assumption of possibility of deliberately reducing the production rate. In many cases, like in food processing industry where

An Efficient Scheduling Scheme to Enhance the Capacity of VoIP Services in Evolved UTRA Uplink

Directory of Open Access Journals (Sweden)

Kim Yong-Seok

2008-01-01

Full Text Available An efficient scheduling scheme is proposed to increase the available capacity of VoIP services over evolved UTRA uplink. On top of the advantages of persistent scheduling, the proposed scheme adaptively share the resources of two VoIP users to get early-termination gain of dynamic scheduler. Through system-level simulations, the performance of the proposed algorithm is evaluated in terms of the capacity enhancement of VoIP services. Comparisons with the original persistent scheduling and the HSUPA scheduler reveal that the proposed scheme increases the capacity of VoIP services up to 20%.

An Efficient Live TV Scheduling System for 4G LTE Broadcast

KAUST Repository

Lau, Chun Pong

2016-01-01

Traditional live television (TV) broadcasting systems are proven to be spectrum inefficient. Therefore, researchers propose to provide TV services on fourth-generation (4G) long-term evolution (LTE) networks. However, static broadcast, a typical broadcasting method over cellular network, is inefficient in terms of radio resource usage. To solve this problem, the audience-driven live TV scheduling (ADTVS) framework is proposed, to maximize radio resource usage when providing TV broadcasting services over LTE networks. ADTVS, a system-level scheduling framework, considers both available radio resources and audience preferences, in order to dynamically schedule TV channels for broadcasting at various time and locations. By conducting a simulation using real-life data and scenarios, it is shown that ADTVS significantly outperforms the static broadcast method. Numerical results indicate that, on average, ADTVS enables substantial improvement to broadcast efficiency and conserves considerable amount of radio resources, while forgoing less than 5% of user services compared to the benchmark system.

An economic lot and delivery scheduling problem with the fuzzy shelf life in a flexible job shop with unrelated parallel machines

Directory of Open Access Journals (Sweden)

S. Dousthaghi

2012-08-01

Full Text Available This paper considers an economic lot and delivery scheduling problem (ELDSP in a fuzzy environment with the fuzzy shelf life for each product. This problem is formulated in a flexible job shop with unrelated parallel machines, when the planning horizon is finite and it determines lot sizing, scheduling and sequencing, simultaneously. The proposed model of this paper is based on the basic period (BP approach. In this paper, a mixed-integer nonlinear programming (MINLP model is presented and then it is changed into two models in the fuzzy shelf life. The main model is dependent to the multiple basic periods and it is difficult to solve the resulted proposed model for large-scale problems in reasonable amount of time; thus, an efficient heuristic method is proposed to solve the problem. The performance of the proposed model is demonstrated using some numerical examples.

Guidelines of Decommissioning Schedule Establishment

Energy Technology Data Exchange (ETDEWEB)

Oh, Jae Yong; Yun, Taesik; Kim, Younggook; Kim, Hee-Geun [KHNP CRI, Daejeon (Korea, Republic of)

2016-10-15

Decommissioning has recently become an issue highlighted in Korea due to the Permanent Shutdown (PS) of Kori-1 plant. Since Korea Hydro and Nuclear Power (KHNP) Company decided the PS of Kori-1 instead of further continued operation, Kori-1 will be the first decommissioning plant of the commercial reactors in Korea. Korean regulatory authority demands Initial Decommissioning Plan (IDP) for all the plants in operation and under construction. In addition, decommissioning should be considered for the completion of the life cycle of NPPs. To date, Korea has no experience regarding decommissioning of the commercial reactor and a lot of uncertainties will be expected due to its site-specific factors. However, optimized decommissioning process schedule must be indispensable in the safety and economic efficiency of the project. Differed from USA, Korea has no experience and know-hows of the operation and site management for decommissioning. Hence, in Korea, establishment of decommissioning schedule has to give more weight to safety than precedent cases. More economical and rational schedule will be composed by collecting and analyzing the experience data and site-specific data and information as the decommissioning progresses. In a long-range outlook, KHNP having capability of NPP decommissioning will try to decommissioning business in Korea and foreign countries.

Optimal trajectory planning and train scheduling for urban rail transit systems

CERN Document Server

Wang, Yihui; van den Boom, Ton; De Schutter, Bart

2016-01-01

This book contributes to making urban rail transport fast, punctual and energy-efficient –significant factors in the importance of public transportation systems to economic, environmental and social requirements at both municipal and national levels. It proposes new methods for shortening passenger travel times and for reducing energy consumption, addressing two major topics: (1) train trajectory planning: the authors derive a nonlinear model for the operation of trains and present several approaches for calculating optimal and energy-efficient trajectories within a given schedule; and (2) train scheduling: the authors develop a train scheduling model for urban rail systems and optimization approaches with which to balance total passenger travel time with energy efficiency and other costs to the operator. Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involv...

ECS: Efficient Communication Scheduling for Underwater Sensor Networks

Directory of Open Access Journals (Sweden)

Lu Hong

2011-03-01

Full Text Available TDMA protocols have attracted a lot of attention for underwater acoustic sensor networks (UWSNs, because of the unique characteristics of acoustic signal propagation such as great energy consumption in transmission, long propagation delay and long communication range. Previous TDMA protocols all allocated transmission time to nodes based on discrete time slots. This paper proposes an efficient continuous time scheduling TDMA protocol (ECS for UWSNs, including the continuous time based and sender oriented conflict analysis model, the transmission moment allocation algorithm and the distributed topology maintenance algorithm. Simulation results confirm that ECS improves network throughput by 20% on average, compared to existing MAC protocols.

Minimizing Total Busy Time with Application to Energy-efficient Scheduling of Virtual Machines in IaaS clouds

OpenAIRE

Quang-Hung, Nguyen; Thoai, Nam

2016-01-01

Infrastructure-as-a-Service (IaaS) clouds have become more popular enabling users to run applications under virtual machines. Energy efficiency for IaaS clouds is still challenge. This paper investigates the energy-efficient scheduling problems of virtual machines (VMs) onto physical machines (PMs) in IaaS clouds along characteristics: multiple resources, fixed intervals and non-preemption of virtual machines. The scheduling problems are NP-hard. Most of existing works on VM placement reduce ...

An Efficient Randomized Algorithm for Real-Time Process Scheduling in PicOS Operating System

Science.gov (United States)

Helmy*, Tarek; Fatai, Anifowose; Sallam, El-Sayed

PicOS is an event-driven operating environment designed for use with embedded networked sensors. More specifically, it is designed to support the concurrency in intensive operations required by networked sensors with minimal hardware requirements. Existing process scheduling algorithms of PicOS; a commercial tiny, low-footprint, real-time operating system; have their associated drawbacks. An efficient, alternative algorithm, based on a randomized selection policy, has been proposed, demonstrated, confirmed for efficiency and fairness, on the average, and has been recommended for implementation in PicOS. Simulations were carried out and performance measures such as Average Waiting Time (AWT) and Average Turn-around Time (ATT) were used to assess the efficiency of the proposed randomized version over the existing ones. The results prove that Randomized algorithm is the best and most attractive for implementation in PicOS, since it is most fair and has the least AWT and ATT on average over the other non-preemptive scheduling algorithms implemented in this paper.

Human reliability and plant operating efficiency: Are 12-hour work schedules cause for concern?

International Nuclear Information System (INIS)

Baker, T.L.

1992-01-01

Since the introduction of 12-h shifts to the US nuclear power industry only 8 yr ago, compressed workweek schedules have proliferated among operations departments at a phenomenal rate. Many plants that continue to use 8-h shifts during normal operations routinely change to scheduled 12-h shifts during refueling or maintenance outages. The most critical issue in the use of extended work shifts is whether alertness, physical stamina, or mental performance are compromised to the point of reducing safety or efficiency of nuclear power plant operation. Laboratory and field research sponsored by the National Institute of Occupational Safety and Health suggests that alertness, measured by self-ratings, and mental performance, measured by computer-based performance tests, are impaired on 12-h shifts compared with 8-h shifts. In contrast to these findings, plant operating efficiency and operator performance have been rated as improved in two field studies conducted in operating nuclear power plants (Fast Flux Test Facility, Washington and Ontario Hydro, Canada). A recent Electric Power Research Institute review of nuclear industry experience with 12-h shifts also suggests an overwhelmingly positive rating of 12-h schedules from both control room operators and management

DLTAP: A Network-efficient Scheduling Method for Distributed Deep Learning Workload in Containerized Cluster Environment

OpenAIRE

Qiao Wei; Li Ying; Wu Zhong-Hai

2017-01-01

Deep neural networks (DNNs) have recently yielded strong results on a range of applications. Training these DNNs using a cluster of commodity machines is a promising approach since training is time consuming and compute-intensive. Furthermore, putting DNN tasks into containers of clusters would enable broader and easier deployment of DNN-based algorithms. Toward this end, this paper addresses the problem of scheduling DNN tasks in the containerized cluster environment. Efficiently scheduling ...

Measurement of energy efficiency based on economic foundations

International Nuclear Information System (INIS)

Filippini, Massimo; Hunt, Lester C.

2015-01-01

Energy efficiency policy is seen as a very important activity by almost all policy makers. In practical energy policy analysis, the typical indicator used as a proxy for energy efficiency is energy intensity. However, this simple indicator is not necessarily an accurate measure given changes in energy intensity are a function of changes in several factors as well as ‘true’ energy efficiency; hence, it is difficult to make conclusions for energy policy based upon simple energy intensity measures. Related to this, some published academic papers over the last few years have attempted to use empirical methods to measure the efficient use of energy based on the economic theory of production. However, these studies do not generally provide a systematic discussion of the theoretical basis nor the possible parametric empirical approaches that are available for estimating the level of energy efficiency. The objective of this paper, therefore, is to sketch out and explain from an economic perspective the theoretical framework as well as the empirical methods for measuring the level of energy efficiency. Additionally, in the second part of the paper, some of the empirical studies that have attempted to measure energy efficiency using such an economics approach are summarized and discussed.

Frontiers in the economics of energy efficiency

International Nuclear Information System (INIS)

Miguel, Carlos de; Labandeira, Xavier; Löschel, Andreas

2015-01-01

Energy efficiency has become an essential instrument to obtain effective greenhouse gas mitigation and reduced energy dependence. This introductory article contextualizes the contributions of the supplemental issue by showing the new setting for energy efficiency economics and policy; discussing the role of price instruments to promote energy savings; presenting new approaches for energy efficiency policies; and placing energy efficiency within a wider energy and environmental framework.

Energy Efficient Routing and Node Activity Scheduling in the OCARI Wireless Sensor Network

Directory of Open Access Journals (Sweden)

Saoucene Mahfoudh

2010-08-01

Full Text Available Sensor nodes are characterized by a small size, a low cost, an advanced communication technology, but also a limited amount of energy. Energy efficient strategies are required in such networks to maximize network lifetime. In this paper, we focus on a solution integrating energy efficient routing and node activity scheduling. The energy efficient routing we propose, called EOLSR, selects the route and minimizes the energy consumed by an end-to-end transmission, while avoiding nodes with low residual energy. Simulation results show that EOLSR outperforms the solution selecting the route of minimum energy as well as the solution based on node residual energy. Cross-layering allows EOLSR to use information from the application layer or the MAC layer to reduce its overhead and increase network lifetime. Node activity scheduling is based on the following observation: the sleep state is the least power consuming state. So, to schedule node active and sleeping periods, we propose SERENA that colors all network nodes using a small number of colors, such that two nodes with the same color can transmit without interfering. The node color is mapped into a time slot during which the node can transmit. Consequently, each node is awake during its slot and the slots of its one-hop neighbors, and sleeps in the remaining time. We evaluate SERENA benefits obtained in terms of bandwidth, delay and energy. We also show how cross-layering with the application layer can improve the end-to-end delays for data gathering applications.

Accelerating exact schedulability analysis for fixed-priority pre-emptive scheduling

NARCIS (Netherlands)

Hang, Y.; Jiale, Z.; Keskin, U.; Bril, R.J.

2010-01-01

The schedulability analysis for fixed-priority preemptive scheduling (FPPS) plays a significant role in the real-time systems domain. The so-called Hyperplanes Exact Test (HET) [1] is an example of an exact schedulability test for FPPS. In this paper, we aim at improving the efficiency of HET by

The Measurement and Determinants of Economic Efficiency of ...

African Journals Online (AJOL)

The Measurement and Determinants of Economic Efficiency of Microfinance Institutions ... players in socio-economic development especially in developing countries. ... savings products to improve on portfolio quality and ensure sustainability; ...

Energy Efficient Scheduling of Real Time Signal Processing Applications through Combined DVFS and DPM

OpenAIRE

Nogues , Erwan; Pelcat , Maxime; Menard , Daniel; Mercat , Alexandre

2016-01-01

International audience; This paper proposes a framework to design energy efficient signal processing systems. The energy efficiency is provided by combining Dynamic Frequency and Voltage Scaling (DVFS) and Dynamic Power Management (DPM). The framework is based on Synchronous Dataflow (SDF) modeling of signal processing applications. A transformation to a single rate form is performed to expose the application parallelism. An automated scheduling is then performed, minimizing the constraint of...

ON THE ECONOMIC EFFICIENCY OF ORGANIZATIONS: TOWARD A SOLUTION OF THE EFFICIENT GOVERNMENT ENTERPRISE PARADOX

Directory of Open Access Journals (Sweden)

Robert E. Wright

2007-01-01

Full Text Available The modern widely-held joint-stock corporation appears to epitomize the economically efficient large-scale organization. Some scholars observe, however, that other types of organizations, including government-owned enterprises, have also achieved high degrees of efficiency and that some joint stock corporations have been inefficient. It is here argued that the economic efficiency of organizations is largely a function of two major variables—markets tructure and incentives within the organization—and not organizational form or ownership structure per se. Case studies of two business firms: a mutual life insurer and a family-controlled publisher, and two industries: higher education and custom construction, demonstrate the importance of internal incentives and market structures to organizational economic efficiency.

Economic-efficiency considerations in restructuring electric markets

Energy Technology Data Exchange (ETDEWEB)

Hill, L.J.

1996-12-01

In response to the Energy Policy Act of 1992 and the Federal Energy Regulatory Commission`s subsequent rulemaking on transmission access, many states are exploring options to restructure their electric industries. In their deliberations on restructuring, policymakers should consider (1) the reliability of the electric system; (2) income-distribution effects on ratepayers and utilities; (3) social consequences such as effects on energy conservation, renewable energy, and the environment; and (4) economic efficiency. We address economic-efficiency considerations in this study. Economic efficiency is important because it is one of the primary reasons that policymakers should consider restructuring in the first place: improving the electric-industry`s efficiency lowers costs and, hence, electric prices. In this study, we look at the sources of (in)efficiency in existing and proposed electric markets with the objective of guiding policymakers to design efficient electric markets. The advantages of a competitive market are well known: it leads to lower costs for the utility, lower prices for consumers, more product choices, better customer service, and often the need for less regulation by federal and state agencies. In the short run, firms who cannot produce at the market-clearing price are forced to leave the industry, ensuring that customers have the lowest price possible. In the long run, competition promotes innovation and lower costs. The physical and institutional characteristics of the U.S. electric industry, however, could be impediments to attaining efficiently run, competitive markets. Because of these characteristics, there are multiple sources of efficiencies and inefficiencies in existing electric markets, and there will be multiple sources in restructured ones. The objective of policymakers should not be to trade one set of inefficiencies in existing electric markets for another set in restructured markets.

Economic-efficiency considerations in restructuring electric markets

International Nuclear Information System (INIS)

Hill, L.J.

1996-12-01

In response to the Energy Policy Act of 1992 and the Federal Energy Regulatory Commission's subsequent rulemaking on transmission access, many states are exploring options to restructure their electric industries. In their deliberations on restructuring, policymakers should consider (1) the reliability of the electric system; (2) income-distribution effects on ratepayers and utilities; (3) social consequences such as effects on energy conservation, renewable energy, and the environment; and (4) economic efficiency. We address economic-efficiency considerations in this study. Economic efficiency is important because it is one of the primary reasons that policymakers should consider restructuring in the first place: improving the electric-industry's efficiency lowers costs and, hence, electric prices. In this study, we look at the sources of (in)efficiency in existing and proposed electric markets with the objective of guiding policymakers to design efficient electric markets. The advantages of a competitive market are well known: it leads to lower costs for the utility, lower prices for consumers, more product choices, better customer service, and often the need for less regulation by federal and state agencies. In the short run, firms who cannot produce at the market-clearing price are forced to leave the industry, ensuring that customers have the lowest price possible. In the long run, competition promotes innovation and lower costs. The physical and institutional characteristics of the U.S. electric industry, however, could be impediments to attaining efficiently run, competitive markets. Because of these characteristics, there are multiple sources of efficiencies and inefficiencies in existing electric markets, and there will be multiple sources in restructured ones. The objective of policymakers should not be to trade one set of inefficiencies in existing electric markets for another set in restructured markets

Optimal production scheduling for energy efficiency improvement in biofuel feedstock preprocessing considering work-in-process particle separation

International Nuclear Information System (INIS)

Li, Lin; Sun, Zeyi; Yao, Xufeng; Wang, Donghai

2016-01-01

Biofuel is considered a promising alternative to traditional liquid transportation fuels. The large-scale substitution of biofuel can greatly enhance global energy security and mitigate greenhouse gas emissions. One major concern of the broad adoption of biofuel is the intensive energy consumption in biofuel manufacturing. This paper focuses on the energy efficiency improvement of biofuel feedstock preprocessing, a major process of cellulosic biofuel manufacturing. An improved scheme of the feedstock preprocessing considering work-in-process particle separation is introduced to reduce energy waste and improve energy efficiency. A scheduling model based on the improved scheme is also developed to identify an optimal production schedule that can minimize the energy consumption of the feedstock preprocessing under production target constraint. A numerical case study is used to illustrate the effectiveness of the proposed method. The research outcome is expected to improve the energy efficiency and enhance the environmental sustainability of biomass feedstock preprocessing. - Highlights: • A novel method to schedule production in biofuel feedstock preprocessing process. • Systems modeling approach is used. • Capable of optimize preprocessing to reduce energy waste and improve energy efficiency. • A numerical case is used to illustrate the effectiveness of the method. • Energy consumption per unit production can be significantly reduced.

A critique of non-parametric efficiency analysis in energy economics studies

International Nuclear Information System (INIS)

Chen, Chien-Ming

2013-01-01

The paper reexamines non-additive environmental efficiency models with weakly-disposable undesirable outputs appeared in the literature of energy economics. These efficiency models are used in numerous studies published in this journal and other energy-related outlets. Recent studies, however, have found key limitations of the weak-disposability assumption in its application to environmental efficiency analysis. It is found that efficiency scores obtained from non-additive efficiency models can be non-monotonic in pollution quantities under the weak-disposability assumption — which is against common intuition and the principle of environmental economics. In this paper, I present taxonomy of efficiency models found in the energy economics literature and illustrate the above limitations and discuss implications of monotonicity from a practical viewpoint. Finally, I review the formulations for a variable returns-to-scale technology with weakly-disposable undesirable outputs, which has been misused in a number of papers in the energy economics literature. An application to evaluating the energy efficiencies of 23 European Union states is presented to illustrate the problem. - Highlights: • Review different environmental efficiency model used in energy economics studies • Highlight limitations of these environmental efficiency models • These limitations have not been recognized in the existing energy economics literature. • Data from 23 European Union states are used to illustrate the methodological consequences

ECONOMIC AND SOCIAL EFFICIENCY OF PROPERTY INVESTMENTS

Directory of Open Access Journals (Sweden)

Florina Oana Virlanuta

2014-03-01

Full Text Available Investments play a key part within the goods and services industry, consumerism and community as well. The effects generated by any investment project substantiate this statement, regardless the sector of activity in which they are implemented. In the current market economy, economic efficiency indicators are playing an important role in assessing and analyzing an investment project since due to these indicators, the investor can become aware of the most important aspects they need to respond promptly. In this respect, we conducted a market analysis of real estate investments in Romania, highlighting economic and social efficiency of property investments.

OPTICAL FIBER SENSOR TECHNOLOGIES FOR EFFICIENT AND ECONOMICAL OIL RECOVERY

Energy Technology Data Exchange (ETDEWEB)

A. Wang; H. Xiao; R. May

1999-10-29

Efficient and complete recovery of petroleum reserves from existing oil wells has proven difficult due to a lack of robust instrumentation that can monitor processes in the downhole environment. Commercially available sensors for measurement of pressure, temperature, and fluid flow exhibit shortened lifetimes in the harsh downhole conditions, which are characterized by high pressures (up to 20 kpsi), temperatures up to 250 C, and exposure to chemically reactive fluids. Development of robust sensors that deliver continuous, real-time data on reservoir performance and petroleum flow pathways will facilitate application of advanced recovery technologies, including horizontal and multi-lateral wells. The main objective of the research program is to develop cost-effective, reliable fiber sensor instrumentation for real-time monitoring and /or control of various key parameters crucial to efficient and economical oil production. This report presents the detailed research work and technical progress from October 1, 1998 to September 30, 1999. The research performed over the first year of the program has followed the schedule as proposed, and solid research progress has been made in specification of the technical requirements, design and fabrication of the SCIIB sensor probes, development of the sensor systems, development of DSP-based signal processing techniques, and construction of the test systems. These technical achievements will significantly help to advance continued research on sensor tests and evaluation during the second year of the program.

The Institutional Component of the Efficient Economic Policy of the State

Directory of Open Access Journals (Sweden)

Mykytas Viktoriia V

2016-01-01

Full Text Available The article substantiates the necessity of institutional accompanying the economic policy of the State, establishing an efficient system of institutions. Challenges of the contemporary globalization require changes in the State influence on economy, redefining quality parameters and principles of an efficient economic policy. Complexity of the State policy in a global environment is determined not only by importance of the tasks of establishing an efficient market against the background of increasing influences of exogenous uncertainty, but also by seeking ways of entering the global space, thus implementing the best interests of national economic development. The article deduces parameters of the concept of «efficient institution». The author believes that institutions precisely should act as the link through which social and economic development would become unseparated in order to form a stable efficient socio-economic development

Energy efficiency and economic feasibility of CCHP driven by stirling engine

International Nuclear Information System (INIS)

Kong, X.Q.; Wang, R.Z.; Huang, X.H.

2004-01-01

This paper deals with the problem of energy efficiency evaluation and economic feasibility analysis of a small scale trigeneration system for combined cooling, heating and power generation (CCHP) with an available Stirling engine. Trigeneration systems have a large potential of energy saving and economical efficiency. The decisive values for energetic efficiency evaluation of such systems are the primary energy rate and comparative primary energy saving (Δq), while the economic feasibility analysis of such systems relates the avoided cost, the total annual saving and payback period. The investigation calculates and compares the energy saving and economic efficiency of trigeneration system with Stirling engine against contemporary conventional independent cooling, heating and power, showing that a CCHP system saves fuel resources and has the assurance of economic benefits

Efficient Academic Scheduling at the U.S. Naval Academy

National Research Council Canada - National Science Library

Zane, David

2003-01-01

This research project examined academic scheduling problems at the U.S. Naval Academy. The focus was on devising methods to construct good final exam schedules and improve existing course schedules by facilitation course changes...

Economic efficiency analysis of electron accelerator for irradiation processing

International Nuclear Information System (INIS)

Shi Huidong; Chen Ronghui

2003-01-01

The fixed assets, running cost and economic efficiency were discussed in this paper. For building electron accelerator of 10 MeV and 3 kW, the running cost is one time higher than building cobalt source at 2.22 x 10 15 Bq, but economic efficiency of building a electron accelerator is much higher than building a cobalt source

A Novel Algorithm for Efficient Downlink Packet Scheduling for Multiple-Component-Carrier Cellular Systems

Directory of Open Access Journals (Sweden)

Yao-Liang Chung

2016-11-01

Full Text Available The simultaneous aggregation of multiple component carriers (CCs for use by a base station constitutes one of the more promising strategies for providing substantially enhanced bandwidths for packet transmissions in 4th and 5th generation cellular systems. To the best of our knowledge, however, few previous studies have undertaken a thorough investigation of various performance aspects of the use of a simple yet effective packet scheduling algorithm in which multiple CCs are aggregated for transmission in such systems. Consequently, the present study presents an efficient packet scheduling algorithm designed on the basis of the proportional fair criterion for use in multiple-CC systems for downlink transmission. The proposed algorithm includes a focus on providing simultaneous transmission support for both real-time (RT and non-RT traffic. This algorithm can, when applied with sufficiently efficient designs, provide adequate utilization of spectrum resources for the purposes of transmissions, while also improving energy efficiency to some extent. According to simulation results, the performance of the proposed algorithm in terms of system throughput, mean delay, and fairness constitute substantial improvements over those of an algorithm in which the CCs are used independently instead of being aggregated.

DLTAP: A Network-efficient Scheduling Method for Distributed Deep Learning Workload in Containerized Cluster Environment

Directory of Open Access Journals (Sweden)

Qiao Wei

2017-01-01

Full Text Available Deep neural networks (DNNs have recently yielded strong results on a range of applications. Training these DNNs using a cluster of commodity machines is a promising approach since training is time consuming and compute-intensive. Furthermore, putting DNN tasks into containers of clusters would enable broader and easier deployment of DNN-based algorithms. Toward this end, this paper addresses the problem of scheduling DNN tasks in the containerized cluster environment. Efficiently scheduling data-parallel computation jobs like DNN over containerized clusters is critical for job performance, system throughput, and resource utilization. It becomes even more challenging with the complex workloads. We propose a scheduling method called Deep Learning Task Allocation Priority (DLTAP which performs scheduling decisions in a distributed manner, and each of scheduling decisions takes aggregation degree of parameter sever task and worker task into account, in particularly, to reduce cross-node network transmission traffic and, correspondingly, decrease the DNN training time. We evaluate the DLTAP scheduling method using a state-of-the-art distributed DNN training framework on 3 benchmarks. The results show that the proposed method can averagely reduce 12% cross-node network traffic, and decrease the DNN training time even with the cluster of low-end servers.

The economic impacts of energy efficiency

International Nuclear Information System (INIS)

Jean, R.

1990-01-01

Energy efficiency programs add to the costs incurred by electricity users in the short term and generate significant economic benefits in the medium and long term. Using the example of programs in development at Hydro-Quebec, it is shown that the net economic benefits surpass, in present value terms, the sums invested by the electric utility and the customer, corresponding to yields of over 100%. This benefit is the principal impact of energy conservation programs which also provide employment, for every dollar invested, of the same order as that provided by hydroelectric production (i.e. costs associated with construction of generating plants, transmission lines, and distribution facilities). This evaluation takes account of the structure of purchases of goods and services brought about by energy efficiency programs and their large import component. This result may be surprising since the hydroelectric industry is strongly integrated into the Quebec economy, but it is understandable when one takes into account the importance of distribution costs to small-scale users, which causes significant local activity even when imported products are involved, and the very intensive labor requirement for certain energy efficiency measures. In addition, the employment generated by energy efficiency investments is very diversified in terms of the range of skills used and its geographic dispersion. 2 figs., 4 tabs

Air conditioning with methane: Efficiency and economics optimization parameters

International Nuclear Information System (INIS)

Mastrullo, R.; Sasso, M.; Sibilio, S.; Vanoli, R.

1992-01-01

This paper presents an efficiency and economics evaluation method for methane fired cooling systems. Focus is on direct flame two staged absorption systems and alternative engine driven compressor sets. Comparisons are made with conventional vapour compression plants powered by electricity supplied by the national grid. A first and second law based thermodynamics analysis is made in which fuel use coefficients and exergy yields are determined. The economics analysis establishes annual energy savings, unit cooling energy production costs, payback periods and economics/efficiency optimization curves useful for preliminary feasibility studies

The comparison of predictive scheduling algorithms for different sizes of job shop scheduling problems

Science.gov (United States)

Paprocka, I.; Kempa, W. M.; Grabowik, C.; Kalinowski, K.; Krenczyk, D.

2016-08-01

In the paper a survey of predictive and reactive scheduling methods is done in order to evaluate how the ability of prediction of reliability characteristics influences over robustness criteria. The most important reliability characteristics are: Mean Time to Failure, Mean Time of Repair. Survey analysis is done for a job shop scheduling problem. The paper answers the question: what method generates robust schedules in the case of a bottleneck failure occurrence before, at the beginning of planned maintenance actions or after planned maintenance actions? Efficiency of predictive schedules is evaluated using criteria: makespan, total tardiness, flow time, idle time. Efficiency of reactive schedules is evaluated using: solution robustness criterion and quality robustness criterion. This paper is the continuation of the research conducted in the paper [1], where the survey of predictive and reactive scheduling methods is done only for small size scheduling problems.

Economic and environmental efficiency using a social accounting matrix

International Nuclear Information System (INIS)

Morilla, Carmen Rodriguez; Diaz-Salazar, Gaspar Llanes; Cardenete, M. Alejandro

2007-01-01

This paper aims to show the utility of the so-called Social Accounting Matrix and Environmental Accounts (SAMEA) for economic and environmental efficiency analysis. The article uses the SAMEA for Spain in 2000, applied to water resources and greenhouse gas emissions. This matrix is used as a central core of a multisectorial model of economic and environmental performance, and it calculates the denominated 'domestics SAMEA multipliers' and their decomposition into characteristic, direct, indirect and induced effects. These multipliers show some evaluation of economic and environmental efficiency. Also, we present an application of these multipliers that demonstrates that there is no causal interrelation between those sectors with higher economic backward linkages and those with higher environmental deterioration backward linkages. (author)

Quantum entanglement helps in improving economic efficiency

International Nuclear Information System (INIS)

Du Jiangfeng; Ju Chenyong; Li Hui

2005-01-01

We propose an economic regulation approach based on quantum game theory for the government to reduce the abuses of oligopolistic competition. Theoretical analysis shows that this approach can help government improve the economic efficiency of the oligopolistic market, and help prevent monopoly due to incorrect information. These advantages are completely attributed to the quantum entanglement, a unique quantum mechanical character

Quantum entanglement helps in improving economic efficiency

Science.gov (United States)

Du, Jiangfeng; Ju, Chenyong; Li, Hui

2005-02-01

We propose an economic regulation approach based on quantum game theory for the government to reduce the abuses of oligopolistic competition. Theoretical analysis shows that this approach can help government improve the economic efficiency of the oligopolistic market, and help prevent monopoly due to incorrect information. These advantages are completely attributed to the quantum entanglement, a unique quantum mechanical character.

Energy efficiency and economic fallacies: a reply; and reply

International Nuclear Information System (INIS)

Brookes, L.G.; Grubb, M.

1992-01-01

The claim that a programme of energy efficiency improvements has nothing to offer to the solution of any problem of global warming is discussed. Some very important points not previously conceded by supporters of energy efficiency solutions to economic and environmental problems are considered, namely: first that when energy supply/price is the constraint on the level of economic activity, using energy more efficiently does not help to reduce total energy demand; and, second, that it has in practice been true that when energy supply/price is not the macroeconomic constraint, once again demand for energy is not reduced by more efficient use. (author)

Hydro-Thermal-Wind Generation Scheduling Considering Economic and Environmental Factors Using Heuristic Algorithms

Directory of Open Access Journals (Sweden)

Suresh K. Damodaran

2018-02-01

Full Text Available Hydro-thermal-wind generation scheduling (HTWGS with economic and environmental factors is a multi-objective complex nonlinear power system optimization problem with many equality and inequality constraints. The objective of the problem is to generate an hour-by-hour optimum schedule of hydro-thermal-wind power plants to attain the least emission of pollutants from thermal plants and a reduced generation cost of thermal and wind plants for a 24-h period, satisfying the system constraints. The paper presents a detailed framework of the HTWGS problem and proposes a modified particle swarm optimization (MPSO algorithm for evolving a solution. The competency of selected heuristic algorithms, representing different heuristic groups, viz. the binary coded genetic algorithm (BCGA, particle swarm optimization (PSO, improved harmony search (IHS, and JAYA algorithm, for searching for an optimal solution to HTWGS considering economic and environmental factors was investigated in a trial system consisting of a multi-stream cascaded system with four reservoirs, three thermal plants, and two wind plants. Appropriate mathematical models were used for representing the water discharge, generation cost, and pollutant emission of respective power plants incorporated in the system. Statistical analysis was performed to check the consistency and reliability of the proposed algorithm. The simulation results indicated that the proposed MPSO algorithm provided a better solution to the problem of HTWGS, with a reduced generation cost and the least emission, when compared with the other heuristic algorithms considered.

Workload Classification & Software Energy Measurement for Efficient Scheduling on Private Cloud Platforms

OpenAIRE

Smith, James W.; Sommerville, Ian

2011-01-01

At present there are a number of barriers to creating an energy efficient workload scheduler for a Private Cloud based data center. Firstly, the relationship between different workloads and power consumption must be investigated. Secondly, current hardware-based solutions to providing energy usage statistics are unsuitable in warehouse scale data centers where low cost and scalability are desirable properties. In this paper we discuss the effect of different workloads on server power consumpt...

Economic efficiency of brownfield regeneration: study of South Moravian projects

Directory of Open Access Journals (Sweden)

Jana Korytárová

2017-06-01

Full Text Available The objective of brownfield regeneration is to increase the attractiveness and value of individual sites to a level where they can compete directly with the construction of a greenfi eld project. The aim of this paper is to examine the economic efficiency of brownfield regeneration. By using CBA outputs, the contribution of socio-economic efficiency to the total efficiency of individual projects based on EBCR was investigated on the basis of a sample of 14 projects located in the South Moravian Region. Furthermore, the expected value of EBCR was simulated by using the Monte Carlo method. The results reveal that socio-economic efficiency contributes significantly to the overall efficiency of these projects and therefore cannot be neglected during their evaluation. At the end of the paper, future research directions in this area are outlined.

Energy technologies and energy efficiency in economic modelling

DEFF Research Database (Denmark)

Klinge Jacobsen, Henrik

1998-01-01

This paper discusses different approaches to incorporating energy technologies and technological development in energy-economic models. Technological development is a very important issue in long-term energy demand projections and in environmental analyses. Different assumptions on technological ...... of renewable energy and especially wind power will increase the rate of efficiency improvement. A technologically based model in this case indirectly makes the energy efficiency endogenous in the aggregate energy-economy model....... technological development. This paper examines the effect on aggregate energy efficiency of using technological models to describe a number of specific technologies and of incorporating these models in an economic model. Different effects from the technology representation are illustrated. Vintage effects...... illustrates the dependence of average efficiencies and productivity on capacity utilisation rates. In the long run regulation induced by environmental policies are also very important for the improvement of aggregate energy efficiency in the energy supply sector. A Danish policy to increase the share...

Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes

Directory of Open Access Journals (Sweden)

Damon Petersen

2017-12-01

Full Text Available A novel formulation for combined scheduling and control of multi-product, continuous chemical processes is introduced in which nonlinear model predictive control (NMPC and noncyclic continuous-time scheduling are efficiently combined. A decomposition into nonlinear programming (NLP dynamic optimization problems and mixed-integer linear programming (MILP problems, without iterative alternation, allows for computationally light solution. An iterative method is introduced to determine the number of production slots for a noncyclic schedule during a prediction horizon. A filter method is introduced to reduce the number of MILP problems required. The formulation’s closed-loop performance with both process disturbances and updated market conditions is demonstrated through multiple scenarios on a benchmark continuously stirred tank reactor (CSTR application with fluctuations in market demand and price for multiple products. Economic performance surpasses cyclic scheduling in all scenarios presented. Computational performance is sufficiently light to enable online operation in a dual-loop feedback structure.

ECONOMIC EFFICIENCY OF DIFFERENT PROTECTION TREATMENTS IN APPLE PRODUCTION

Directory of Open Access Journals (Sweden)

Vesna Tomaš

2015-06-01

Full Text Available Apple is the most represented fruit species in Croatia. Codling moth, Cydia pomonella L, is one of the most important apple pests whose population is growing from year to year. The aim of this study was to determine the economic effectiveness of four treatments against codling moth (1 - based on baculovirus; 2 - based on the group of synthetic pyrethroid; 3 - based on kaolin, 4 - control treatment, on the three apple varieties. The experiment was performed at the Agricultural Institute Osijek, Croatia, during three years (2012-2014. In order to analyze the results of apple production it was necessary to calculate production efficiency, labor productivity, and profitability of production. The results of the research of economic efficiency according to market prices treatment 1 and treatment 2 had economic coefficient above 1 with tendency of significant growth, while treatment 3 and 4 were uneconomical. The treatment 1showed advantage over the treatment 2 because of its positive effects on human health and biodiversity, as well as satisfactory economic efficiency.

Methodical Approach to Diagnostics of Efficiency of Production Economic Activity of an Enterprise

Directory of Open Access Journals (Sweden)

Zhukov Andrii V.

2014-03-01

Full Text Available The article offers developments of a methodical approach to diagnostics of efficiency of production economic activity of an enterprise, which, unlike the existing ones, is realised through the following stages: analysis of the enterprise external environment; analysis of the enterprise internal environment; identification of components of efficiency of production economic activity for carrying out complex diagnostics by the following directions: efficiency of subsystems of the enterprise production economic activity, efficiency of use of separate types of resources and socio-economic efficiency; scorecard formation; study of tendencies of change of indicators; identification of cause-effect dependencies between the main components of efficiency for diagnosing reasons of its level; diagnosing deviations of indicator values from their optimal values; development of a managerial decision on preserving and increasing efficiency of production economic activity of the enterprise.

The Efficiency of Improvement of the Economic Security System of Ukraine

Directory of Open Access Journals (Sweden)

Klunko Nataliya S.

2017-09-01

Full Text Available An analysis of approaches to the formation of efficiency of ensuring economic security was carried out. The essence of economic security has been defined and its material base has been described. Threats to the economic security of Ukraine have been systematized and their structure analyzed. Both internal and external measures to prevent threats to the economic security of Ukraine have been allocated. Dynamics of the factors on which the economic security of Ukraine depends has been considered. It has been determined that the socio-economic development strategy formulated makes the country’s economic security system efficient. Two approaches to the strategic development of the Ukrainian economy have been allocated: enhancing competitiveness and integration into the international economic associations.

A dynamic optimization on economic energy efficiency in development: A numerical case of China

International Nuclear Information System (INIS)

Wang, Dong

2014-01-01

This paper is based on dynamic optimization methodology to investigate the economic energy efficiency issues in developing countries. The paper introduces some definitions about energy efficiency both in economics and physics, and establishes a quantitative way for measuring the economic energy efficiency. The linkage between economic energy efficiency, energy consumption and other macroeconomic variables is demonstrated primarily. Using the methodology of dynamic optimization, a maximum problem of economic energy efficiency over time, which is subjected to the extended Solow growth model and instantaneous investment rate, is modelled. In this model, the energy consumption is set as a control variable and the capital is regarded as a state variable. The analytic solutions can be derived and the diagrammatic analysis provides saddle-point equilibrium. A numerical simulation based on China is also presented; meanwhile, the optimal paths of investment and energy consumption can be drawn. The dynamic optimization encourages governments in developing countries to pursue higher economic energy efficiency by controlling the energy consumption and regulating the investment state as it can conserve energy without influencing the achievement of steady state in terms of Solow model. If that, a sustainable development will be achieved. - Highlights: • A new definition on economic energy efficiency is proposed mathematically. • A dynamic optimization modelling links economic energy efficiency with other macroeconomic variables in long run. • Economic energy efficiency is determined by capital stock level and energy consumption. • Energy saving is a key solution for improving economic energy efficiency

Selected Banks Economic Efficiency Indicators

Directory of Open Access Journals (Sweden)

Adam Szafarczyk

2007-04-01

Full Text Available There are a lot of economic efficiency indicators in theory. It is necessary to choice some of them for concrete purposes. ROA, ROE and C/I play important role due to last experience of polish banks.Cost to Income Ratio plays very important role affecting not only efficiency monitoring process in the banks but also becoming a very important target in strategy or finance plan. There are several methodological approaches to construct this index in detail. Results are differing due to implementing methodology. This article describes trends C/I concerning both polish and foreign banks. It is difficult to compare banks in emerging country and real giants in finance mature economies.

Life cycle and economic efficiency analysis: durable pavement markings.

Science.gov (United States)

2009-07-01

This project examined the life cycle and economic efficiency of two pavement marking : materials inlaid tape and thermoplastic to find the most economical product for specific : traffic and weather conditions. Six locations in the state of Ma...

DYNAMIC ECONOMIC EFFICIENCY IN THE SOUTH-WEST OLTENIA REGION

Directory of Open Access Journals (Sweden)

Laura Mariana Cismaş

2012-03-01

Full Text Available The structure of an economy is not and has never been permanent, it does not have a static character, but only a moment of stability of a system whose internal organization is, is therefore a dynamic process. In this sense, the ultimate goal of the analysis of structural changes is to highlight the phenomenon of economic efficiency in the complex process of economic growth during the cross in our country since 1990.Lisbon agenda have targeted the European Union to become the most competitive region until 2010.Ulterior this target strategy was complemented by growth and job creation, becoming the main way of creating a European competitiveness . In this context, public policy challenges identified in the national economies have become energy market liberalization, efficiency and diversification, regulation of the economic environment, innovation and technology transfer policies that contribute to a strategy of market leadership.Besides gross value added, labor productivity is also the medium of efficient use of labor.Growth achieved both national and regional level, may be related, in terms of human resource, or increase the number of employees, or a better use of existing employees work. That aecest aspect of a better use of existing staff employee makes labor productivity is a key element in the expression efficiency of economic performance. Understanding the forces governing labor productivity, and especially the accumulation of fixed capital, improving the institutional infrastructure to generate new technologies, is objectively necessary for the formulation of policies for economic growth.

Improving the economic efficiency of PV plants through own consumption - risks and opportunities; Erhoehung der Wirtschaftlichkeit von PV-Anlagen durch Eigenverbrauch. Chancen und Risiken

Energy Technology Data Exchange (ETDEWEB)

Carr, Luis; Corradini, Roger [FfE Forschungsstelle fuer Energiewirtschaft e.V., Muenchen (Germany); Roon, Serafin von [Forschungsgesellschaft fuer Energiewirtschaft mbH, Muenchen (Germany)

2012-04-15

The own-consumption regulation introduced in 2009 has led to an improved economic efficiency of PV plants. Even if the remuneration paid for own supply should be abolished, rising electricity prices will nevertheless strengthen the incentive for operators to increase their rate of own consumption. This scenario applies for the currently existing total of around 9 GW in installed PV capacity. A high rate of own consumption will continue to offer benefits for plants to be installed in future as well, and this will be further amplified if the scheduled cuts in feed-in compensation are moved forward in time. However, the promotion of own consumption of PV electricity can only provide relief to local electricity networks if these have a suitable load management in place. In spite of the compensation paid for own consumption it will further be necessary to find mechanisms that secure the economic effectiveness of efficiency technologies.

Heuristic Scheduling in Grid Environments: Reducing the Operational Energy Demand

Science.gov (United States)

Bodenstein, Christian

In a world where more and more businesses seem to trade in an online market, the supply of online services to the ever-growing demand could quickly reach its capacity limits. Online service providers may find themselves maxed out at peak operation levels during high-traffic timeslots but too little demand during low-traffic timeslots, although the latter is becoming less frequent. At this point deciding which user is allocated what level of service becomes essential. The concept of Grid computing could offer a meaningful alternative to conventional super-computing centres. Not only can Grids reach the same computing speeds as some of the fastest supercomputers, but distributed computing harbors a great energy-saving potential. When scheduling projects in such a Grid environment however, simply assigning one process to a system becomes so complex in calculation that schedules are often too late to execute, rendering their optimizations useless. Current schedulers attempt to maximize the utility, given some sort of constraint, often reverting to heuristics. This optimization often comes at the cost of environmental impact, in this case CO 2 emissions. This work proposes an alternate model of energy efficient scheduling while keeping a respectable amount of economic incentives untouched. Using this model, it is possible to reduce the total energy consumed by a Grid environment using 'just-in-time' flowtime management, paired with ranking nodes by efficiency.

A random-key encoded harmony search approach for energy-efficient production scheduling with shared resources

Science.gov (United States)

Garcia-Santiago, C. A.; Del Ser, J.; Upton, C.; Quilligan, F.; Gil-Lopez, S.; Salcedo-Sanz, S.

2015-11-01

When seeking near-optimal solutions for complex scheduling problems, meta-heuristics demonstrate good performance with affordable computational effort. This has resulted in a gravitation towards these approaches when researching industrial use-cases such as energy-efficient production planning. However, much of the previous research makes assumptions about softer constraints that affect planning strategies and about how human planners interact with the algorithm in a live production environment. This article describes a job-shop problem that focuses on minimizing energy consumption across a production facility of shared resources. The application scenario is based on real facilities made available by the Irish Center for Manufacturing Research. The formulated problem is tackled via harmony search heuristics with random keys encoding. Simulation results are compared to a genetic algorithm, a simulated annealing approach and a first-come-first-served scheduling. The superior performance obtained by the proposed scheduler paves the way towards its practical implementation over industrial production chains.

Vacuum boilers developed heating surfaces technic and economic efficiency evaluation

Science.gov (United States)

Slobodina, E. N.; Mikhailov, A. G.; Semenov, B. A.

2018-01-01

The vacuum boilers as manufacturing proto types application analysis was carried out, the possible directions for the heating surfaces development are identified with a view to improving the energy efficiency. Economic characteristics to evaluate the vacuum boilers application efficiency (Net Discounted Income (NDI), Internal Rate of Return (IRR), Profitability Index (PI) and Payback Period) are represented. The given type boilers application technic and economic efficiency criteria were established. NDI changing curves depending on the finning coefficient and operating pressure were obtained as a result of the conducted calculation studies.

Measuring energy efficiency in economics: Shadow value approach

Science.gov (United States)

Khademvatani, Asgar

For decades, academic scholars and policy makers have commonly applied a simple average measure, energy intensity, for studying energy efficiency. In contrast, we introduce a distinctive marginal measure called energy shadow value (SV) for modeling energy efficiency drawn on economic theory. This thesis demonstrates energy SV advantages, conceptually and empirically, over the average measure recognizing marginal technical energy efficiency and unveiling allocative energy efficiency (energy SV to energy price). Using a dual profit function, the study illustrates how treating energy as quasi-fixed factor called quasi-fixed approach offers modeling advantages and is appropriate in developing an explicit model for energy efficiency. We address fallacies and misleading results using average measure and demonstrate energy SV advantage in inter- and intra-country energy efficiency comparison. Energy efficiency dynamics and determination of efficient allocation of energy use are shown through factors impacting energy SV: capital, technology, and environmental obligations. To validate the energy SV, we applied a dual restricted cost model using KLEM dataset for the 35 US sectors stretching from 1958 to 2000 and selected a sample of the four sectors. Following the empirical results, predicted wedges between energy price and the SV growth indicate a misallocation of energy use in stone, clay and glass (SCG) and communications (Com) sectors with more evidence in the SCG compared to the Com sector, showing overshoot in energy use relative to optimal paths and cost increases from sub-optimal energy use. The results show that energy productivity is a measure of technical efficiency and is void of information on the economic efficiency of energy use. Decomposing energy SV reveals that energy, capital and technology played key roles in energy SV increases helping to consider and analyze policy implications of energy efficiency improvement. Applying the marginal measure, we also

A hybrid multi-objective cultural algorithm for short-term environmental/economic hydrothermal scheduling

International Nuclear Information System (INIS)

Lu Youlin; Zhou Jianzhong; Qin Hui; Wang Ying; Zhang Yongchuan

2011-01-01

Research highlights: → Multi-objective optimization model of short-term environmental/economic hydrothermal scheduling. → A hybrid multi-objective cultural algorithm (HMOCA) is presented. → New heuristic constraint handling methods are proposed. → Better quality solutions by reducing fuel cost and emission effects simultaneously are obtained. -- Abstract: The short-term environmental/economic hydrothermal scheduling (SEEHS) with the consideration of multiple objectives is a complicated non-linear constrained optimization problem with non-smooth and non-convex characteristics. In this paper, a multi-objective optimization model of SEEHS is proposed to consider the minimal of fuel cost and emission effects synthetically, and the transmission loss, the water transport delays between connected reservoirs as well as the valve-point effects of thermal plants are taken into consideration to formulate the problem precisely. Meanwhile, a hybrid multi-objective cultural algorithm (HMOCA) is presented to deal with SEEHS problem by optimizing both two objectives simultaneously. The proposed method integrated differential evolution (DE) algorithm into the framework of cultural algorithm model to implement the evolution of population space, and two knowledge structures in belief space are redefined according to the characteristics of DE and SEEHS problem to avoid premature convergence effectively. Moreover, in order to deal with the complicated constraints effectively, new heuristic constraint handling methods without any penalty factor settings are proposed in this paper. The feasibility and effectiveness of the proposed HMOCA method are demonstrated by two case studies of a hydrothermal power system. The simulation results reveal that, compared with other methods established recently, HMOCA can get better quality solutions by reducing fuel cost and emission effects simultaneously.

High-Speed Train Stop-Schedule Optimization Based on Passenger Travel Convenience

OpenAIRE

Dingjun Chen; Shaoquan Ni; Chang’an Xu; Hongxia Lv; Simin Wang

2016-01-01

The stop-schedules for passenger trains are important to the operation planning of high-speed trains, and they decide the quality of passenger service and the transportation efficiency. This paper analyzes the specific manifestation of passenger travel convenience and proposes the concepts of interstation accessibility and degree of accessibility. In consideration of both the economic benefits of railway corporations and the travel convenience of passengers, a multitarget optimization model i...

Future aircraft networks and schedules

Science.gov (United States)

Shu, Yan

2011-07-01

Because of the importance of air transportation scheduling, the emergence of small aircraft and the vision of future fuel-efficient aircraft, this thesis has focused on the study of aircraft scheduling and network design involving multiple types of aircraft and flight services. It develops models and solution algorithms for the schedule design problem and analyzes the computational results. First, based on the current development of small aircraft and on-demand flight services, this thesis expands a business model for integrating on-demand flight services with the traditional scheduled flight services. This thesis proposes a three-step approach to the design of aircraft schedules and networks from scratch under the model. In the first step, both a frequency assignment model for scheduled flights that incorporates a passenger path choice model and a frequency assignment model for on-demand flights that incorporates a passenger mode choice model are created. In the second step, a rough fleet assignment model that determines a set of flight legs, each of which is assigned an aircraft type and a rough departure time is constructed. In the third step, a timetable model that determines an exact departure time for each flight leg is developed. Based on the models proposed in the three steps, this thesis creates schedule design instances that involve almost all the major airports and markets in the United States. The instances of the frequency assignment model created in this thesis are large-scale non-convex mixed-integer programming problems, and this dissertation develops an overall network structure and proposes iterative algorithms for solving these instances. The instances of both the rough fleet assignment model and the timetable model created in this thesis are large-scale mixed-integer programming problems, and this dissertation develops subproblem schemes for solving these instances. Based on these solution algorithms, this dissertation also presents

Economic and psychological burden of scheduled surgery ...

African Journals Online (AJOL)

Background: Cancellation of scheduled surgery creates a financial burden for hospitals, caregivers and ..... costs and disregard some of the aspects mentioned in the ..... cancellation of elective surgical procedures in a Spanish general.

Interaction between Financial Intermediation Efficiency and Economic Growth

Directory of Open Access Journals (Sweden)

Milka Grbic

2016-12-01

Full Text Available Financial intermediaries have the key role in making a connection between savings and investments. Given the fact that an efficient transfer of savings into investments is made more difficult by transaction and information costs, financial intermediaries are specialized in minimizing the said costs per unit of invested capital. They are also trained to identify productive and innovative investment endeavors which contribute to the growth of real output. Real output growth is the basis for increasing the financial potential, which creates the basis for the development of financial intermediaries. In connection with that, apart from the analysis of the relevant factors making the process of the mobilization and transfer of savings more difficult, the theoretical models that put an emphasis on the relationship between the efficiency of financial intermediation and economic growth are discussed in the paper. The research results are indicative of the fact that the improvement in financial intermediaries’ business doing enables faster economic growth. Simultaneously, the growth of the economic activity increases the scope of the business operations conducted by financial intermediaries. Thanks to the effects of the economies of scale that contribute to a reduction in transaction and information costs, the efficiency of financial intermediations grows.

Economic Efficiency of Selected Financial System Institutions of Local Government

Directory of Open Access Journals (Sweden)

Urszula Rabiej

2014-03-01

Full Text Available Functioning of local government units, as for as the economic sphere is concerned, is based on the financial law regulations. Those regulations aim at solving economic and social problems. The analysis of economic efficiency concerning implemented regulations is of particular importance for changing the EU’s attitude towards the influence, which EU has on functioning of the local governments. Implementing the local budgets, based on regulations which economic efficiency hasn’t been evaluated on the stage of legislation, may have a negative impact on local community and the economic situation of the country. Frequent changes of financial law cause actions, which financial effects cannot be predicted. What is more, those unstable regulations make it impossible to plan essential parts of a budget in a right way. That has a great importance in terms of correctness of long-term financial perspectives of the local government units.

IMPROVED METHOD OF DETERMINATION OF ECONOMIC EFFICIENCY OF CONSTRUCTION AND OPERATION OF HIGH SPEED MAINLINE IN UKRAINE

Directory of Open Access Journals (Sweden)

YU. S. Barash

2014-01-01

Full Text Available Purpose. To develop an advanced methodology and formulate the measures concerning the definition of economic efficiency of high-speed movement organization taking into account the operating experience of rapid transportations in Ukraine, travel time, number of stops on the route, schedule and the demand for these transportations. Methodology. The economic feasibility for appropriateness of high-speed movement organization in Ukraine is an investment project, which involves step-by-step money investment to the construction. To solve such problems one uses net present value, which UZ or newly created companies can get during the project realization and after its completion. Findings. On the basis of obtained studies one can state that the methodology of complex determination of construction efficiency and high-speed passenger trains operation taking into account the cost of infrastructure, rolling stock, impact of environmental factors, etc. was developed in the article. Originality. We propose a scientific approach to determine the economic efficiency of the construction and high-speed main lines operation. This approach, unlike the existing one, includes the improved principles of determining the passenger traffic, the cost of high-speed mainline construction, the number of rolling stock; optimizes income and expenditure calculations in the context of competitive advantages and impact of the external factors on the company. For the first time it was taken into account the transit flow of passengers departing from CIS countries to the vacation in the Crimea, the Carpathians, Odessa and Lviv regions. The account of these factors increases the feasibility of administrative decisions concerning ensuring the efficiency of high-speed traffic functioning. Practical value. The proposed methodology and the research results allowed determining the construction reasonability of high-speed mainline for the passenger trains with a speed at least250 km/h in

The bases for optimisation of scheduled repairs and tests of safety systems to improve the NPP productive efficiency

International Nuclear Information System (INIS)

Bilej, D.V.; Vasil'chenko, S.V.; Vlasenko, N.I.; Vasil'chenko, V.N.; Skalozubov, V.I.

2004-01-01

In the frames of risk-informed approaches the paper proposed the theoretical bases for methods of optimisation of scheduled repairs and tests of safety systems at nuclear power plants. The optimisation criterion is the objective risk function minimising. This function depends on the scheduled repairs/tests periodicity and the allowed time to bring the system channel to a state of non-operability. The main optimisation direct is to reduce the repair time with the purpose of enhancement of productive efficiency

THE MAIN APPROACHES TO THE DEFINITION OF ECONOMIC EFFICIENCY OF ENTERPRISES OF CONSTRUCTION INDUSTRY

Directory of Open Access Journals (Sweden)

A. V. Dolgova

2015-01-01

Full Text Available The problem of ambiguous interpretation of the category of "efficiency". Taking into account the fact that economic efficiency is quite complex and multifaceted category, coupled with the economic laws and applies to all activities of the enterprise this figure is one of the essential characteristics of the processes occurring in industrial organizations. The lack of a generally accepted view among domestic and foreign economists regarding the essential part of the index of efficiency of activity of the industrial enterprise leads to the impossibility of its use for the management of processes. In the conditions of market economy, the task of economic evaluation res ults of the economic entity remains an important element of the research aspects of the company. Each new refinement of recorded knowledge acts as a stimulus for the development of fundamental knowledge categories. One of the Central in the system of economic categories, in our opinion, is indicated for the effective functioning of the enterprise." Precise formulation of the conceptual framework, criteria-based composition have important theoretical value to justify the subject of any research conducted in the conditions of modern economic development of the global space. The definition of criteria and performance indicators, as well as developing sound economic policies of improving the economic mechanism of enterprise depend on a comprehensive study of the essence of economic efficiency of industrial enterprises of the industry. The article examines the main approaches to the definition of economic efficiency, as well as identify the degree of relation of the category of "efficiency" with other economic categories. The author suggested that the characteristics of the essence of economic efficiency, adequate to the task of functioning and development of enterprises in the construction industry.

The Essence and Efficiency Criteria of the Contemporary Economic Systems

Directory of Open Access Journals (Sweden)

Demydiuk Olga O

2017-02-01

Full Text Available The article generalizes and systematizes the basic scientific approaches to the definition of the category of «economic system». The author’s own definition of the contemporary economic systems as highly complex dynamic structures, characterized by the organizational heterogeneous integrity, ability to selforganization and self-development, which occur under the influence of both external and internal factors, has been proposed. The basic efficiency criteria of functioning and development of the contemporary economic systems were generalized and systematized. Some practical recommendations for improving efficiency of the economic system of Ukraine have been elaborated. In particular, the emphasis was made on the need to pay special attention to countering corruption, the illegal economic manifestations of the shadow economy, overcoming resistance by the special interest groups, which are not interested in any radical market-oriented transformations, since they lose their quasi-rent received as a result of activities of the inefficient institutions.

The Waldo County project: A partnership for energy efficient economic development

International Nuclear Information System (INIS)

Baston, D.C.

1990-01-01

In April 1988, the state of Maine designated four economically disadvantaged areas as Job Opportunity Zones. An interministerial initiative was put into place to improve the economic situation of these regions and to attract high quality jobs. One of these, Waldo County, formed part of the service territory of Central Maine Power. In May 1988, that utility asked the Alliance to Save Energy to recommend means for aligning its energy efficiency program with the state's economic improvement program in order to bring about effective economic growth in Waldo County. The utility is in the process of adopting all of the energy efficiency measures recommended by the Alliance. The utility's program in this respect is focused on support for existing small businesses in the county. In most of these businesses, the largest component of their electric bill is for lighting. A pilot program to retrofit modern energy-efficient lighting will install state-of-the-art equipment such as electronic ballasts and compact fluorescents without cost to the customer. This program will provide substantial savings to existing businesses and provide efficiency savings to the utility. Marketing of commercial and residential energy management programs is also being intensified. Energy management assistance is also given to new businesses; this assistance includes financial incentives to install energy efficient equipment

Economic efficiency of application of solar window

Science.gov (United States)

Shapoval, Stepan

2017-12-01

Priority and qualitatively new direction in the fuel and energy sector is renewable energy. This paper describes a feasibility study of using solar window in the system of solar heat supply. The article presents literature data about the effectiveness of the use of solar systems in other countries. The results confirm a sufficient efficiency of solar heat supply with using solar Windows. Insights based on practical experience and mathematical calculations, which are aimed at a detailed explanation of economic efficiency of the proposed construction.

Economic and environmental impacts of community-based residential building energy efficiency investment

International Nuclear Information System (INIS)

Choi, Jun-Ki; Morrison, Drew; Hallinan, Kevin P.; Brecha, Robert J.

2014-01-01

A systematic framework for evaluating the local economic and environmental impacts of investment in building energy efficiency is developed. Historical residential building energy data, community-wide economic input–output data, and emission intensity data are utilized. The aim of this study is to show the comprehensive insights and connection among achieving variable target reductions for a residential building energy use, economic and environmental impacts. Central to this approach for the building energy reduction goal is the creation of individual energy models for each building based upon historical energy data and available building data. From these models, savings estimates and cost implications can be estimated for various conservation measures. A ‘worst to first’ (WF) energy efficient investment strategy is adopted to optimize the level of various direct, indirect, and induced economic impacts on the local community. This evaluation helps to illumine opportunities to establish specific energy reduction targets having greatest economic impact in the community. From an environmental perspective, short term economy-wide CO 2 emissions increase because of the increased community-wide economic activities spurred by the production and installation of energy efficiency measures, however the resulting energy savings provide continuous CO 2 reduction for various target savings. - Highlights: • WF energy efficient strategy helps to optimize various level of economic impacts. • Greatest community benefits are achieved from specific energy reduction targets. • Community-wide economic impacts vary for different energy conservation measures

Does energy efficiency improve technological change and economic growth in developing countries?

International Nuclear Information System (INIS)

Cantore, Nicola; Calì, Massimiliano; Velde, Dirk Willem te

2016-01-01

Does a trade-off exist between energy efficiency and economic growth? This question underlies some of the tensions between economic and environmental policies, especially in developing countries that often need to expand their industrial base to grow. This paper contributes to the debate by analyzing the relationship between energy efficiency and economic performance at the micro- (total factor productivity) and macro-level (countries' economic growth). It uses data on a large sample of manufacturing firms across 29 developing countries to find that lower levels of energy intensity are associated with higher total factor productivity for the majority of these countries. The results are robust to a variety of checks. Suggestive cross-country evidence points towards the same relation measured at the macro-level as well. - Highlights: •Total factor productivity is an accurate proxy of technological change. •Energy efficiency triggers total factor productivity especially in manufacturing. •Technological change via energy efficiency in manufacturing is an engine of growth.

Urban liveability versus economic efficiency

DEFF Research Database (Denmark)

Farné Fratini, Chiara; Jensen, Jens Stissing

2013-01-01

development. Against this agenda a national strategy is currently being enforced which addresses water as a context-independent functional sector. This agenda operates with a narrow definition of economic efficiency in service provision through a benchmarking system focusing only on technical performances...... addresses the infrastructure as a discrete system - thus pushing for one-way influence of the infrastructure to the cityscape - the place based innovation agenda has traditionally been more inclusive towards the context specific priorities of urban planners. In this paper we apply the arena of development...

The Economic Efficiency of Financial Markets

Science.gov (United States)

Wang, Yougui

In this paper, we investigate the economic efficiency of markets and specify its applicability to financial markets. The statistical expressions of supply and demand of a market are formulated in terms of willingness prices. By introducing probability of realized exchange, we also formulate the realized market surplus. It can be proved that only when the market is in equilibrium the realized surplus can reach its maximum value. The market efficiency can be measured by the ratio of realized surplus to its maximum value. For a financial market, the market participants are composed of two groups: producers and speculators. The former brings the surplus into the market and the latter provides liquidity to make them realized.

Decision Model for Planning and Scheduling of Seafood Product Considering Traceability

Science.gov (United States)

Agustin; Mawengkang, Herman; Mathelinea, Devy

2018-01-01

Due to the global challenges, it is necessary for an industrial company to integrate production scheduling and distribution planning, in order to be more efficient and to get more economics advantages. This paper presents seafood production planning and scheduling of a seafood manufacture company which produces simultaneously multi kind of seafood products, located at Aceh Province, Indonesia. The perishability nature of fish highly restricts its storage duration and delivery conditions. Traceability is a tracking requirement to check whether the quality of the product is satisfied. The production and distribution planning problem aims to meet customer demand subject to traceability of the seafood product and other restrictions. The problem is modeled as a mixed integer linear program, and then it is solved using neighborhood search approach.

Optimizing the Steel Plate Storage Yard Crane Scheduling Problem Using a Two Stage Planning/Scheduling Approach

DEFF Research Database (Denmark)

Hansen, Anders Dohn; Clausen, Jens

This paper presents the Steel Plate Storage Yard Crane Scheduling Problem. The task is to generate a schedule for two gantry cranes sharing tracks. The schedule must comply with a number of constraints and at the same time be cost efficient. We propose some ideas for a two stage planning...

Economic evaluation manual

Energy Technology Data Exchange (ETDEWEB)

1975-09-01

An economic analysis on oil or gas property is generally accompanied by a reservoir analysis which predicts the reserves and the performance of the reservoir, recommends the optimum economic method with which to recover the reserves, and through a performance prediction indicates a time schedule for future investments and income. The requirements for a reservoir evaluation are as follows: (1) good reservoir data; (2) oil in place; (3) reservoir energy, both primary and secondary; and (4) reserve calculation and performance predictions for giving both production schedule and selection of secondary recovery mechanisms. Given the above reservoir evaluation parameters, the following are requirements for a complete economic analysis: (1) lease exploration and purchase costs; (2) capital investments schedule dependent upon a reservoir performance prediction; and (3) factors affecting net income such as anticipated selling price of oil and gas and the availability of a market, operating costs and working interest, royalty schedule, depreciation methods, depletion methods and tax schedule. (71 refs.)

Economic-environmental active and reactive power scheduling of modern distribution systems in presence of wind generations: A distribution market-based approach

International Nuclear Information System (INIS)

Samimi, Abouzar; Kazemi, Ahad; Siano, Pierluigi

2015-01-01

Highlights: • A new market-based approach is proposed to schedule active and reactive powers. • Multi-component reactive power bidding structures for DERs is introduced. • A new economical/environmental operational scheduling method is proposed. • At distribution level, a reactive power market is developed in presence of DERs. - Abstract: Distribution System Operator (DSO) is responsible for active and reactive power scheduling in a distribution system. DSO purchases its active and reactive power requirements from Distributed Energy Resources (DERs) as well as the wholesale electricity market. In this paper, a new economical/environmental operational scheduling method based on sequential day-ahead active and reactive power markets at distribution level is proposed to dispatch active and reactive powers in distribution systems with high penetration of DERs. In the proposed model, after day-ahead active power market was cleared the participants submit their reactive power bids and then the reactive power market will be settled. At distribution level, developing a Var market, in which DERs like synchronous machine-based Distributed Generation (DG) units and Wind Turbines (WTs) could offer their reactive power prices, DERs are motivated to actively participate in the Volt/VAr Control (VVC) problem. To achieve this purpose, based on the capability curves of considered DERs, innovative multi-component reactive power bidding structures for DERs are introduced. Moreover, the effect of reactive power market clearing on the active power scheduling is explicitly considered into the proposed model by rescheduling of active power by usage of energy-balance service bids. On the other hand, environmental concerns that arise from the operation of fossil fuel fired electric generators are included in the proposed model by employing CO_2 emission penalty cost. The suggested reactive power market is cleared through a mixed-integer nonlinear optimization program. The

Industrial policy, production efficiency improvement and the Chinese county economic growth

Directory of Open Access Journals (Sweden)

Wang Zhenhua

2016-12-01

Full Text Available This study aims at analyzing the difference in the level of economic development between China’s counties from the two perspectives of industrial policy and production efficiency. Based on panel data of 1830 Chinese counties, this study employs the new classical economic growth theory framework to analyze the counties’ economic growth by the perpetual inventory method, Malmquist index, among others. The results show that the economy of the counties exhibits δ convergence since 2004, and the absolute differences in the different counties are expanding. Industrial policy ensures the additional deepening of the level of capital in the county. Additionally, a substantial difference was observed between the agricultural sector and the non-agricultural sector, whereby the total factor productivity and the technical efficiency are on the rise, resulting in the phenomenon of dual paths of technological progress. In summary, the capital deepening difference between the sectors, production efficiency, and dual paths of technological progress owing to the counties’ industrial policy are the basic reasons for the regional differences in the level of economic development in China.

The economic impacts of energy efficiency

International Nuclear Information System (INIS)

Jean, R.

1990-01-01

Hydro Quebec's energy efficiency initiatives are reviewed and the economic benefits it expects to garner from such programs are described. Energy efficiency programs affect the cost of supplying electricity, and rates usually rise during the early years and are subsequently offset by the benefits the program generates. Energy efficiency programs should allow Hydro Quebec to avoid $6 billion in expenditures for electricity supply, while entailing contributions of $1.4 billion for the efficiency measures. Evaluation of the potential for efficiency has allowed Hydro Quebec to set a target of 12.9 TWh/y in 1999 on a potential estimated at 18% of regular sales in Quebec in 1989, namely 23.3 TWh. Customers, who contribute $1.4 billion of their own funds to efficiency programs will realize savings of $3.2 billion. Hydro Quebec programs insist strongly on replacement of appliances and motors of all sorts, and in the residential sector, purchases of slightly less than $0.5 billion will consist of electric lamps (3%), water heaters (2.4%), insulation products (32%), hardware (2.5%), and various electric appliances (33%). In the commercial sector, expenditures will be higher, reaching ca $650 million. These are allocated to purchases of electric lamps (18%), heating equipment (12%), insulation products (24%), street lighting (4%), and various electric devices such as controls (39%). 2 figs., 4 tabs

Spent nuclear fuel project integrated schedule plan

International Nuclear Information System (INIS)

Squires, K.G.

1995-01-01

The Spent Nuclear Fuel Integrated Schedule Plan establishes the organizational responsibilities, rules for developing, maintain and status of the SNF integrated schedule, and an implementation plan for the integrated schedule. The mission of the SNFP on the Hanford site is to provide safe, economic, environmentally sound management of Hanford SNF in a manner which stages it to final disposition. This particularly involves K Basin fuel

Spent nuclear fuel project integrated schedule plan

Energy Technology Data Exchange (ETDEWEB)

Squires, K.G.

1995-03-06

The Spent Nuclear Fuel Integrated Schedule Plan establishes the organizational responsibilities, rules for developing, maintain and status of the SNF integrated schedule, and an implementation plan for the integrated schedule. The mission of the SNFP on the Hanford site is to provide safe, economic, environmentally sound management of Hanford SNF in a manner which stages it to final disposition. This particularly involves K Basin fuel.

Efficiency and economics of hydrogen delivery

International Nuclear Information System (INIS)

Liu, Y.; Bharadwaj, R.; Balan, C.; Garces, L.; Smith, D.

2003-01-01

The viability and penetration of fuel cell based electricity production will be mainly determined by the efficient, cost effective production and delivery of hydrogen. This study focuses on the transportation efficiency and cost of hydrogen delivery for both centrally produced hydrogen as well as electricity scenarios. The efficiency and economics of energy delivery depend on the quantity of energy to be transported and transportation distance. Energy delivery models were developed for Hydrogen delivery as compressed gas or cryogenic liquid using truck or pipeline. For comparison, models were also developed for high voltage AC electricity transmission. Major parameters that influence the performance of the energy transmission systems under normal operating conditions were modeled. The models use energy transported and delivery distance as independent variables. The results were validated against similar reports, government surveys and other publications. Energy delivery efficiency and costs were used to compare and evaluate the different delivery options. Effect of uncertainty and sensitivity of parameters on modeling results were also studied. The systems were compared on an equivalent basis. The analysis also identifies the trade-offs for electricity transmission and electrolysis application at the point of use for Hydrogen delivery. These results provide a consistent framework for evaluation of delivery options on energy efficiency basis. (author)

The development of KMRR schedule and progress control system (KSPCS) for the master schedule of KMRR project

International Nuclear Information System (INIS)

Choi, Chang Woong; Lee, Tae Joon; Kim, Joon Yun; Cho, Yun Ho; Hah, Jong Hyun

1993-07-01

This report was to development the computerized schedule and progress control system for the master schedule of KMRR project with ARTEMIS 7000/386 CM (Ver. 7.4.2.) based on project management theory (PERT/CPM, PDM, and S-curve). This system has been efficiently used for KMRR master schedule and will be utilized for the detail scheduling of KMRR project. (Author) 23 refs., 26 figs., 52 tabs

The development of KMRR schedule and progress control system (KSPCS) for the master schedule of KMRR project

Energy Technology Data Exchange (ETDEWEB)

Choi, Chang Woong; Lee, Tae Joon; Kim, Joon Yun; Cho, Yun Ho; Hah, Jong Hyun [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

1993-07-01

This report was to development the computerized schedule and progress control system for the master schedule of KMRR project with ARTEMIS 7000/386 CM (Ver. 7.4.2.) based on project management theory (PERT/CPM, PDM, and S-curve). This system has been efficiently used for KMRR master schedule and will be utilized for the detail scheduling of KMRR project. (Author) 23 refs., 26 figs., 52 tabs.

Government expenditure, efficiency and economic growth: a panel ...

African Journals Online (AJOL)

Finally Generalized Methods of Moments (GMM) is applied to answer the two research questions. The results demonstrate that increasing government expenditure accelerates economic growth of low income countries in Sub Saharan Africa. However, when government expenditure is interacted with government efficiency ...

Economic efficiency among small scale poultry farmers in Imo State ...

African Journals Online (AJOL)

... household size and extension, were found to be the significant factors that account for the observed variation in efficiency among the small scale poultry farmers. Keywords: economic efficiency, small scale poultry farmers, stochastic frontier production model. International Journal of Agriculture and Rural Development Vol.

Economic Efficiency and Investment Implementation in Energy Saving Projects

Directory of Open Access Journals (Sweden)

Venelin Terziev

2017-09-01

Full Text Available Investment in building thermoinsulation is a subject to appraisal for efficiency from the position of discounted cash flows taken specifically by energy saving. The appraisal of investment as optimal is attended by achieving the shortest term for investment implementation, the lowest investment outlays, the maximum total net value of energy savings, the shortest investment payback period. The complex application of the dynamic methods for appraising economic efficiency of an investment – net present value, internal rate of return, profitability index and discounted payback period, involves drawing of particular values which comparison definitely will show if this kind of investment is practically “attractive”. However, the question for significance weight of each of these indicators above in decision making for implementation a particular real investment still remains unsolved. This requires working out a system of criteria, priorities that can determine which of the indicators for economic efficiency of specific investment project will have the highest significance.

Energy efficiency, sustainability and economic growth

International Nuclear Information System (INIS)

Ayres, Robert U.; Turton, Hal; Casten, Tom

2007-01-01

This paper explores two linked theses related to the role energy in economic development, and potential sources of increased energy efficiency for continued growth with reduced greenhouse gas (GHG) emissions. The first thesis is that, while reduced GHG emissions are essential for long-term global sustainability, the usual policy recommendation of increasing energy costs by introducing a carbon tax may be relatively ineffective under current market structures and have an unnecessarily adverse impact on economic growth. Our second thesis is that there exists a practical near-term strategy for reducing GHG emissions while simultaneously encouraging continued technology-driven economic growth. Moreover, this strategy does not require radical new technologies, but rather improved regulation or-more precisely-better deregulation of the electric power sector. In respect to the first of our two theses, this paper addresses a deficiency in neoclassical economic growth theory, in which growth is assumed to be automatic, inevitable and cost-free. We challenge both the assumption that growth will continue in the future at essentially the same rate ('the trend') as it has in the past, and the corollary that our children's children will inevitably be richer and better able to afford the cost of repairing the environmental damages caused by current generations [Simon et al., The state of humanity. Cambridge MA: Blackwell Publishers Ltd.; 1995

Unitary assessment of economical efficiency of the energy resources for electricity production in Romania

International Nuclear Information System (INIS)

Luca, Gheorghe

2004-01-01

In our country, within the studies, on which the development strategies of power output are based on, the assessment of the economical efficiency of the use of two main energetic resources, the fuel used in cogeneration thermal power plants and the water used in hydropower plants respectively, was made in compliance with non-unitary specific norms. In contradiction with the degree of utilization of hydroelectric resources, realized all over the world in the developed countries (80-90%) resulted that in our country, where the degree of utilization is only 40%, the use of hydroelectric potential is not yet justified from technical-economical point of view. This anomaly was determined by the cause of non-unitary assessment of the economic efficiency for the cogeneration thermo-power plants and hydropower plants. This paper presents comparatively the elements, which were to the basis of the assessment of the economic efficiency for two types of electrical power plants, and one presents a proposal in the aim to perform a unitary assessment of the economical efficiency by applying efficiently the laws in force. (author)

Defining the economic essence of definition «providing efficiency»

OpenAIRE

Kovalchyk, Olena Arnoldivna

2011-01-01

In paper the main approaches to defining the economic essence of the category of «efficiency» is analyzed. The existing conceptual approach to the term «providing» is investigated. The own point of view on the interpretation of definition «providing efficiency» is given.

CONTRIBUTIONS OF MICROFINANCE INSTITUTIONS TO ECONOMIC EFFICIENCY OF CASSAVA FARMERS IN ABIA STATE, NIGERIA

Directory of Open Access Journals (Sweden)

Kingsley Chukwuemeka OBIKE

2014-10-01

Full Text Available The study examined contributions of microfinance institutions to economic efficiency of cassava farmers in Abia state, Nigeria. A multistage random sampling technique was adopted in collecting cross sectional data on a sample size of 240 respondents (120 MFI beneficiaries and 120 non beneficiaries. Primary Data was collected by administering questionnaire on cassava farmers. The result showed that economic efficiency of MFI beneficiaries was influenced by wage rate, price of fertilizer and adjusted Y (output, while wage rate, price of fertilizer and price of cassava cutting s are variables that influenced economic efficiency of non beneficiaries. The t – test analysis confirmed that MFI beneficiaries had higher economic efficiency advantage compared with non beneficiaries. It is recommended that government agricultural policy should take positive steps to reduce interest rate to encourage MFI efforts in providing the necessary platform to encourage higher efficiency in cassava production in Abia state, Nigeria.

Energy Efficient Medium Access Control Protocol for Clustered Wireless Sensor Networks with Adaptive Cross-Layer Scheduling.

Science.gov (United States)

Sefuba, Maria; Walingo, Tom; Takawira, Fambirai

2015-09-18

This paper presents an Energy Efficient Medium Access Control (MAC) protocol for clustered wireless sensor networks that aims to improve energy efficiency and delay performance. The proposed protocol employs an adaptive cross-layer intra-cluster scheduling and an inter-cluster relay selection diversity. The scheduling is based on available data packets and remaining energy level of the source node (SN). This helps to minimize idle listening on nodes without data to transmit as well as reducing control packet overhead. The relay selection diversity is carried out between clusters, by the cluster head (CH), and the base station (BS). The diversity helps to improve network reliability and prolong the network lifetime. Relay selection is determined based on the communication distance, the remaining energy and the channel quality indicator (CQI) for the relay cluster head (RCH). An analytical framework for energy consumption and transmission delay for the proposed MAC protocol is presented in this work. The performance of the proposed MAC protocol is evaluated based on transmission delay, energy consumption, and network lifetime. The results obtained indicate that the proposed MAC protocol provides improved performance than traditional cluster based MAC protocols.

Expansion of environmental impact assessment for eco-efficiency evaluation of China's economic sectors: An economic input-output based frontier approach.

Science.gov (United States)

Xing, Zhencheng; Wang, Jigan; Zhang, Jie

2018-09-01

Due to the increasing environmental burdens caused by dramatic economic expansion, eco-efficiency indicating how efficient the economic activity is with respect to its environmental impacts has become a topic of considerable interest in China. In this context, Economic Input-output Life Cycle Assessment (EIO-LCA) and Data Envelopment Analysis (DEA) are combined to assess the environmental impacts and eco-efficiency of China's 26 economic sectors. The EIO-LCA results indicate that Electricity Production and Supply sector is the largest net exporter in energy usage, CO 2 emission and exhaust emission categories, while Construction sector is the largest net importer for five impact categories except for water withdrawal. Moreover, Construction sector is found to be the destination of the largest sector-to-sector environmental impact flows for the five impact categories and make the most contributions to the total environmental impacts. Another key finding is that Agriculture sector is both the largest net exporter and the greatest contributor for water withdrawal category. DEA results indicate that seven sectors are eco-efficient while over 70% of China's economic sectors are inefficient and require significant improvements. The average target improvements range between 23.30% and 35.06% depending on the impact category. Further sensitivity analysis reveals that the average sensitivity ratios vary from 7.7% to 15.7% among the six impact categories, which are found to be negatively correlated with their improvement potentials. Finally, several policy recommendations are made to mitigate environmental impacts of China's economic sectors and improve their eco-efficiency levels. Copyright © 2018 Elsevier B.V. All rights reserved.

Economic efficiency in fish farming: hope for agro-allied industries in Niagara

Science.gov (United States)

Kareem, R. O.; Dipeolu, A. O.; Aromolaran, A. B.; Williams, S. B.

2008-02-01

The challenge to increase the efficiency in food production level in Nigeria appears to be more urgent now than it has ever been in the history of the country. This is in view of the rapidly increasing population, the imminent decline in international economic and food aid and the need to conserve foreign exchange earnings through the production of raw materials to feed the growing industrial sector calls for urgent attention. The study was carried out in Ogun State. The descriptive statistics was used to determine the socio-economic characteristics of the respondents. The stochastic frontiers production analysis was applied to estimate the technical, allocative efficiency and economic efficiency among the fish farmers in the state. The results of economic efficiency revealed that fish farming is economically efficient with a range of between 55% and 84% efficiency level suggesting a favourable hope for the agro-allied industry such as poultry and cottage industries etc in the state. The result of hypothesis of inefficiency sources models showed that years of experience of fish farmers is significant at 1% probability level indicating the factor contributing to the fish farming experience in the state. Thus, the efficiency is due to the fact that farmers are experienced and fairly educated. On the basis of findings, policy is suggested to be directed towards the encouragement of entrepreneurs in fish farming in the state by providing enabling environment like credit facilities, public enlightenment programme and provision of social amenities like feeder roads, pipe-born water etc and given the fact that an increase in the level of formal education variable leads to less inefficiency, government policy should be focused on adopting the best technology (e.g. fast growing species and equipment) so as to improve the level of efficiency and investment which shall eventually lead to growth in output of fish farming and a lead to the establishment of agro

Life cycle and economic efficiency analysis phase II : durable pavement markings.

Science.gov (United States)

2011-04-01

This report details the Phase II analysis of the life cycle and economic efficiency of inlaid tape : and thermoplastic. Waterborne paint was included as a non-durable for comparison purposes : only. In order to find the most economical product for sp...

Innovative Production Scheduling with Customer Satisfaction Based Measurement for the Sustainability of Manufacturing Firms

Directory of Open Access Journals (Sweden)

Sang-Oh Shim

2017-12-01

Full Text Available Scheduling problems for the sustainability of manufacturing firms in the era of the fourth industrial revolution is addressed in this research. In terms of open innovation, innovative production scheduling can be defined as scheduling using big data, cyber-physical systems, internet of things, cloud computing, mobile network, and so on. In this environment, one of the most important things is to develop an innovative scheduling algorithm for the sustainability of manufacturing firms. In this research, a flexible flowshop scheduling problem is considered with the properties of sequence-dependent setup and different process plans for jobs. In a flexible flowshop, there are serial workstations with multiple pieces of equipment that are able to process multiple lots simultaneously. Since the scheduling in this workshop is known to be extremely difficult, it is important to devise an efficient and effective scheduling algorithm. In this research, a heuristic algorithm is proposed based on a few dispatching rules and economic lot size model with the objective of minimizing total tardiness of orders. For the purposes of performance evaluation, a simulation study is conducted on randomly generated problem instances. The results imply that our proposed method outperforms the existing ones, and greatly enhances the sustainability of manufacturing firms.

How should periods without social interaction be scheduled? Children's preference for practical schedules of positive reinforcement.

Science.gov (United States)

Luczynski, Kevin C; Hanley, Gregory P

2014-01-01

Several studies have shown that children prefer contingent reinforcement (CR) rather than yoked noncontingent reinforcement (NCR) when continuous reinforcement is programmed in the CR schedule. Preference has not, however, been evaluated for practical schedules that involve CR. In Study 1, we assessed 5 children's preference for obtaining social interaction via a multiple schedule (periods of fixed-ratio 1 reinforcement alternating with periods of extinction), a briefly signaled delayed reinforcement schedule, and an NCR schedule. The multiple schedule promoted the most efficient level of responding. In general, children chose to experience the multiple schedule and avoided the delay and NCR schedules, indicating that they preferred multiple schedules as the means to arrange practical schedules of social interaction. In Study 2, we evaluated potential controlling variables that influenced 1 child's preference for the multiple schedule and found that the strong positive contingency was the primary variable. © Society for the Experimental Analysis of Behavior.

Determining Factors for Economic Efficiency in the Organic Olive Oil Sector

Directory of Open Access Journals (Sweden)

Enrique Bernal Jurado

2017-05-01

Full Text Available Spain looms large worldwide in organic olive oil production. However, this productive potential contrasts with the low internal consumption of the product. This situation makes Spain a world leader in its export. Companies in this sector have clear deficiencies, which must be corrected to ensure their survival over time. In this context, the aim of this study is to analyse the level of efficiency, in economic terms, of organic olive oil producers and to identify the factors explaining the best organizational practices. To do so, Data Envelopment Analysis (DEA and Qualitative Comparative Analysis (QCA have been used. The results reveal low levels of economic efficiency and the variables determining said efficiency.

The Economics of Ecosystems: Efficiency, Sustainability and Equity in Ecosystem Management

NARCIS (Netherlands)

Hein, L.G.

2010-01-01

The Economics of Ecosystems demonstrates how the concepts of economic efficiency, sustainability and equity can be applied in ecosystem management. The book presents an overview of these three key concepts, a framework for their analysis and modelling and three case studies. Specific attention is

Scheduling job shop - A case study

Science.gov (United States)

Abas, M.; Abbas, A.; Khan, W. A.

2016-08-01

The scheduling in job shop is important for efficient utilization of machines in the manufacturing industry. There are number of algorithms available for scheduling of jobs which depend on machines tools, indirect consumables and jobs which are to be processed. In this paper a case study is presented for scheduling of jobs when parts are treated on available machines. Through time and motion study setup time and operation time are measured as total processing time for variety of products having different manufacturing processes. Based on due dates different level of priority are assigned to the jobs and the jobs are scheduled on the basis of priority. In view of the measured processing time, the times for processing of some new jobs are estimated and for efficient utilization of the machines available an algorithm is proposed and validated.

Technical Efficiency and Port Competition: Revisiting the Bohai Economic Rim, China

Directory of Open Access Journals (Sweden)

Grace Wang

2012-12-01

Full Text Available The Bohai Economic Rim plays an important role in supporting China’s economic growth. For this research, we selected nine main ports in the region to study whether intra-port competition or corporatization would improve efficiency. Using a panel fixed effect model and stochastic frontier model, we found that the technical efficiency of selected ports is significantly influenced by the time of the initial public offering than by regional competition. The results are supportive and encouraging for policy makers to move toward the decentralized port governance in China.

EFFICIENT MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM FOR JOB SHOP SCHEDULING

Institute of Scientific and Technical Information of China (English)

Lei Deming; Wu Zhiming

2005-01-01

A new representation method is first presented based on priority rules. According to this method, each entry in the chromosome indicates that in the procedure of the Giffler and Thompson (GT) algorithm, the conflict occurring in the corresponding machine is resolved by the corresponding priority rule. Then crowding-measure multi-objective evolutionary algorithm (CMOEA) is designed,in which both archive maintenance and fitness assignment use crowding measure. Finally the comparisons between CMOEA and SPEA in solving 15 scheduling problems demonstrate that CMOEA is suitable to job shop scheduling.

Disallowing Same-program Co-schedules to Improve Efficiency in Quad-core Servers

OpenAIRE

de Blanche, Andreas; Lundqvist, Thomas

2017-01-01

Programs running on different cores in a multicore server are often forced to share resources like off-chip memory, caches, I/O devices, etc. This resource sharing often leads to degraded performance, a slowdown, for the programs that share the resources. A job scheduler can improve performance by co-scheduling programs that use different resources on the same server. The most common approach to solve this co-scheduling problem has been to make job-schedulers resource aware, finding ways to c...

Economic innovation and efficiency gains as the driving force for accelerating carbon dioxide emissions

Science.gov (United States)

Garrett, T. J.

2012-12-01

It is normally assumed that gains in energy efficiency are one of the best routes that society has available to it for stabilizing future carbon dioxide emissions. For a given degree of economic productivity less energy is consumed and a smaller quantity of fossil fuels is required. While certainly this observation is true in the instant, it ignores feedbacks in the economic system such that efficiency gains ultimately lead to greater energy consumption: taken as a global whole, they permit civilization to accelerate its expansion into the energy reserves that sustain it. Here this argument is formalized from a general thermodynamic perspective. The core result is that there exists a fixed, time-independent link between a very general representation of global inflation-adjusted economic wealth (units currency) and civilization's total capacity to consume power (units energy per time). Based on 40 years of available statistics covering more than a tripling of global GDP and a doubling of wealth, this constant has a value of 7.1 +/- 0.01 Watts per one thousand 2005 US dollars. Essentially, wealth is power. Civilization grows by dissipating power in order to sustain all its current activities and to incorporate more raw material into its existing structure. Growth of its structure is related to economic production, so more energy efficient economic production facilitates growth. Growth is into the reserves that sustain civilization, in which case there is a positive feedback in the economic system whereby energy efficiency gains ultimately "backfire" if their intended purpose is to reduce energy consumption and carbon dioxide emissions. The analogy that can be made is to a growing child: a healthy child who efficiently incorporates food into her structure grows quickly and is able to consume more in following years. Economically, an argument is made that, for a range of reasons, there are good reasons to refer to efficiency gains as economic "innovation", both for

Energy efficiency: Key to solving economic, environmental problems

International Nuclear Information System (INIS)

Flanigan, T.

1991-01-01

Energy efficiency can boost economic development and competitiveness, maximize capital productivity, improve environmental quality, and guarantee lasting energy security. Each of these benefits is reason enough, but collectively they form an imperative for action. The energy future must be based on cultural development, not the wanton growth that has served as an indicator of success in the past. Energy efficiency provides not only technical fixes, regulatory innovation, and a host of new financing methods, it also provides a template - a model - for a resource-efficiency ethic congruent with the notion of respecting the rights of future citizens. The good news is that the authors now know how to check environmental despoliation caused by an unquenchable thirst for energy resources. Existing energy-efficiency opportunities allow them to redefine the national energy strategy and take account of the environment and the future

Improved merit order and augmented Lagrange Hopfield network for short term hydrothermal scheduling

International Nuclear Information System (INIS)

Vo Ngoc Dieu; Ongsakul, Weerakorn

2009-01-01

This paper proposes an improved merit order (IMO) combined with an augmented Lagrangian Hopfield network (ALHN) for solving short term hydrothermal scheduling (HTS) with pumped-storage hydro plants. The proposed IMO-ALHN consists of a merit order based on the average production cost of generating units enhanced by heuristic search algorithm for finding unit scheduling and a continuous Hopfield neural network with its energy function based on augmented Lagrangian relaxation for solving constrained economic dispatch (CED). The proposed method is applied to solve the HTS problem in five stages including thermal, hydro and pumped-storage unit commitment by IMO and heuristic search, constraint violations repairing by heuristic search and CED by ALHN. The proposed method is tested on the 24-bus IEEE RTS with 32 units including 4 fuel-constrained, 4-hydro, and 2 pumped-storage units scheduled over a 24-h period. Test results indicate that the proposed IMO-ALHN is efficient for hydrothermal systems with various constraints.

Scheduling lessons learned from the Autonomous Power System

Science.gov (United States)

Ringer, Mark J.

1992-01-01

The Autonomous Power System (APS) project at NASA LeRC is designed to demonstrate the applications of integrated intelligent diagnosis, control, and scheduling techniques to space power distribution systems. The project consists of three elements: the Autonomous Power Expert System (APEX) for Fault Diagnosis, Isolation, and Recovery (FDIR); the Autonomous Intelligent Power Scheduler (AIPS) to efficiently assign activities start times and resources; and power hardware (Brassboard) to emulate a space-based power system. The AIPS scheduler was tested within the APS system. This scheduler is able to efficiently assign available power to the requesting activities and share this information with other software agents within the APS system in order to implement the generated schedule. The AIPS scheduler is also able to cooperatively recover from fault situations by rescheduling the affected loads on the Brassboard in conjunction with the APEX FDIR system. AIPS served as a learning tool and an initial scheduling testbed for the integration of FDIR and automated scheduling systems. Many lessons were learned from the AIPS scheduler and are now being integrated into a new scheduler called SCRAP (Scheduler for Continuous Resource Allocation and Planning). This paper will service three purposes: an overview of the AIPS implementation, lessons learned from the AIPS scheduler, and a brief section on how these lessons are being applied to the new SCRAP scheduler.

Economic efficiency of solar hot water policy in New Zealand

International Nuclear Information System (INIS)

Gillingham, Kenneth

2009-01-01

New Zealand has recently followed the path of several other countries in promoting solar hot water (SHW) systems in the effort to reduce greenhouse gas emissions, yet the economic efficiency of large-scale policies to encourage SHW remains a pressing question for policymakers. This paper develops an economic framework to examine policies to promote SHW in New Zealand, including the current information, training, and subsidy policy. The economic framework points to environmental, energy security, and average-cost electricity retail pricing market failures as motivation for SHW policy, with the global climate change externality the most important of these. The results indicate that domestic SHW systems are close to being financially attractive from a consumer perspective, but a more substantial subsidy policy would be necessary for SHW to appeal to a wider audience. Such a policy is far more likely to have positive net benefits than a policy of mandating SHW on all homes or all new homes in New Zealand, and could be justified on economic efficiency grounds under reasonable assumptions. However, this result reverses under an economy-wide carbon trading system that internalizes the environmental externality.

Efficient Use of Terrestrial Economic Services: A Case Study in South Korea

Science.gov (United States)

Nguyen, T. T.; Tenhunen, J.; Hoang, V. N.; Koellner, T.; Shin, H.; Pham, V. D.; Seo, B.

2012-04-01

Understanding the linkages between social and ecological systems is crucial for managing potential responses to global change. Agricultural production requires resources, is determined by ecological processes, and results in economic goods and services for society. However, production leads at the same time to both positive and negative externalities. The externalities can be enhanced or mitigated by human behavior in management, which is mainly driven by expectations related to economic gains and losses. Ecological and economic processes are interrelated, and continuously interact in a complex manner. Therefore, understanding potential economic gains and losses in response to global change is a fundamental consideration in order to carry out well-informed decision-making. The International Research and Training Group TERRECO at the University of Bayreuth has intensively investigated ecological systems and processes in forested and agricultural landscapes as well as at regional scale in South Korea. These ongoing efforts provide a unique opportunity to examine the economic gains, losses and trade-offs that may occur with future climate and land-use change. Within this framework, we first investigated the environmental and economic efficiency of rice farms in Kangwon Province of South Korea, since rice is the most important food crop in this country. We then expanded our analysis to include dry farm highland vegetable crops in an intensively farmed region of the country, Haean Catchment. Our main objectives are (1) to categorize different types of farms, (2) determine their economic and environmental efficiency, and (3) to determine the trade-offs that occur in economic and environmental efficiencies under alternative management schemes and alternative climate regimes. Our preliminary analysis for rice farms yielded several important findings. First, both the production cost and environmental pollution by rice farms could be reduced significantly. Improvements in

Operational safety performance and economical efficiency evaluation for nuclear power plants

International Nuclear Information System (INIS)

Liu Yachun; Zou Shuliang

2012-01-01

The economical efficiency of nuclear power includes a series of environmental parameters, for example, cleanliness. Nuclear security is the precondition and guarantee for its economy, and both are the direct embodiment of the social benefits of nuclear power. Through analyzing the supervision and management system on the effective operation of nuclear power plants, which has been put forward by the International Atomic Energy Agency (IAEA), the World Association of Nuclear Operators (WANO), the U.S. Nuclear Regulatory Commission (NRC), and other organizations, a set of indexs on the safety performance and economical efficiency of nuclear power are explored and established; Based on data envelopment analysis, a DEA approach is employed to evaluate the efficiency of the operation performance of several nuclear power plants, Some primary conclusion are achieved on the basis of analyzing the threshold parameter's sensitivity and relativity which affected operational performance. To address the conflicts between certain security and economical indicators, a multi-objective programming model is established, where top priority is given to nuclear safety, and the investment behavior of nuclear power plant is thereby optimized. (authors)

The assessment of risk management system’s economic efficiency in retail banking

OpenAIRE

Cvilikas, Aurelijus; Paužuolis, Vaidas

2014-01-01

The banking risk management is always a relevant topic in financial sector’s academic literature, but the detailed analysis of current studies showed that there is a lack of studies in risk management’s economic efficiency assessment in retail banking, where the risk management system’s administration cost may be a significant part of total credit institution’s cost. The scientific problem of this article is: how the economic efficiency of retail banking risk management system could be ...

ECONOMIC EFFICIENCY IN TOMATOES PRODUCTION IN GREENHOUSES

Directory of Open Access Journals (Sweden)

A POPESCU

2003-07-01

Full Text Available This study aimed to appreciate the evolution of economic efficiency in tomatoes production in greenhouses within a private firm situated next to the capital. The firm owns 4 ha greenhouses and the weight of tomatoes crop in the cultivated area is just 38.75 %. In fact, during the last three years, the tomatoes cultivated surface has been diminished in favour of flowers production which, like tomatoes production is an important income source for any producer. The reduction of the tomatoes cultivated area was compensated by the increase of intensification grade using new high performance hybrids and modern technologies. Thus, the scientific production management has been looking for maintaining the total production at the same level from a year to another by an increased average tomatoes yield by 53.33 % . The continuous increase of farm input price has doubled the cost per surface unit and increased the cost per tomatoes kilogram by 33 %. The increase of tomatoes demand and of market price by 31 % have had a positive influence on the farm incomes which has doubled during the last three years. In the year 2000, the company has obtained USD 41,818 income/ha of which subtracting the related production cost we can easily get USD 4,815 profit/ha. The average profit rate recorded by the firm is 13 % in the period 2000-2002, when the study was made. As a conclusion, tomatoes production in greenhouses is a good deal. To keep a high economic efficiency, under the diminishing of the cultivated area, the producers have to increase average tomatoes production by using high performance technology based on high economic value hybrids.

Planning and Scheduling of Airline Operations

Directory of Open Access Journals (Sweden)

İlkay ORHAN

2010-02-01

Full Text Available The Turkish Civil Aviation sector has grown at a rate of 53 % between the years 2002-2008 owing to countrywide economical developments and some removed restrictions in the aviation field. Successful international companies in the sector use advanced computer-supported solution methods for their planning and scheduling problems. These methods have been providing significant competitive advantages to those companies. There are four major scheduling and planning problems in the airline sector: flight scheduling, aircraft scheduling, crew scheduling and disruptions management. These aforementioned scheduling and planning problems faced by all airline companies in the airline sector were examined in detail. Studies reveal that companies using the advanced methods might gain significant cost reductions. However, even then, the time required for solving large scale problems may not satisfy the decision quality desired by decision makers. In such cases, using modern decision methods integrated with advanced technologies offer companies an opportunity for significant cost-advantages.

Energy efficiency / economic in agroecosystems; Eficiencia energetica/economica em agroecossistemas

Energy Technology Data Exchange (ETDEWEB)

Almeida, Luis Carlos Ferreira de; Bueno, Osmar de Carvalho; Esperancini, Maura Seiko Tsutui [Universidade Estadual Paulista Julio de Mesquita Filho (FCA/UNESP), Botucatu, SP (Brazil). Fac. de Ciencias Agronomicas

2010-07-01

The energy and economic evaluation of agroecosystems is important in the sense of appraise as maintainable these can be so much of the point of view energy as economic. The objective of the present paper was to show, starting from a case study, the construction of an indicator of energy/economic efficiency, whose results for four existent systems of corn production in the study area presented indexes that varied between 22.4 and 31.6. Of the reading of those values was possible to evaluate that all of the appraised systems show sustainability of long and short term. The proposed indicator if it shows solid in the agroecosystems appreciation concerning the analysis of your energy/economic sustainability. (author)

Practical Validation of Economic Efficiency Modelling Method for Multi-Boiler Heating System

Directory of Open Access Journals (Sweden)

Aleksejs Jurenoks

2017-12-01

Full Text Available In up-to-date conditions information technology is frequently associated with the modelling process, using computer technology as well as information networks. Statistical modelling is one of the most widespread methods of research of economic systems. The selection of methods of modelling of the economic systems depends on a great number of conditions of the researched system. Modelling is frequently associated with the factor of uncertainty (or risk, who’s description goes outside the confines of the traditional statistical modelling, which, in its turn, complicates the modelling which, in its turn, complicates the modelling process. This article describes the modelling process of assessing the economic efficiency of a multi-boiler adaptive heating system in real-time systems which allows for dynamic change in the operation scenarios of system service installations while enhancing the economic efficiency of the system in consideration.

Gradient decent based multi-objective cultural differential evolution for short-term hydrothermal optimal scheduling of economic emission with integrating wind power and photovoltaic power

International Nuclear Information System (INIS)

Zhang, Huifeng; Yue, Dong; Xie, Xiangpeng; Dou, Chunxia; Sun, Feng

2017-01-01

With the integration of wind power and photovoltaic power, optimal operation of hydrothermal power system becomes great challenge due to its non-convex, stochastic and complex-coupled constrained characteristics. This paper extends short-term hydrothermal system optimal model into short-term hydrothermal optimal scheduling of economic emission while considering integrated intermittent energy resources (SHOSEE-IIER). For properly solving SHOSEE-IIER problem, a gradient decent based multi-objective cultural differential evolution (GD-MOCDE) is proposed to improve the optimal efficiency of SHOSEE-IIER combined with three designed knowledge structures, which mainly enhances search ability of differential evolution in the shortest way. With considering those complex-coupled and stochastic constraints, a heuristic constraint-handling measurement is utilized to tackle with them both in coarse and fine tuning way, and probability constraint-handling procedures are taken to properly handle those stochastic constraints combined with their probability density functions. Ultimately, those approaches are implemented on five test systems, which testify the optimization efficiency of proposed GD-MOCDE and constraint-handling efficiency for system load balance, water balance and stochastic constraint-handling measurements, those obtained results reveal that the proposed GD-MOCDE can properly solve the SHOSEE-IIER problem combined with those constraint-handling approaches. - Highlights: • Gradient decent method is proposed to improve mutation operator. • Hydrothermal system is extended to hybrid energy system. • The uncertainty constraint is converted into deterministic constraint. • The results show the viability and efficiency of proposed algorithm.

On the economics of technology diffusion and energy efficiency

International Nuclear Information System (INIS)

Mulder, P.

2003-01-01

Energy is an essential factor that fuels economic growth and serves human well-being. World energy use has grown enormously since the middle of the 19th century. This increase in the scale of energy demand comes at a certain price, including environmental externalities, such as the enhanced greenhouse effect. Notwithstanding the need for renewable energy sources, these environmental problems also necessitate further improvements in energy efficiency. Technological change plays a crucial role in realizing energy efficiency improvements and, hence, in ameliorating the conflict between economic growth and environmental quality. At the same time, it is known that not only innovation, but also diffusion of new technologies is a costly and lengthy process, and that many firms do not invest in best-practice technologies. This study aims to contribute to a better understanding of the inter. play between economic growth, energy use and technological change, with much emphasis on the adoption and diffusion of energy-saving technologies. The thesis presents a mix of theoretical and empirical analyses inspired by recent developments in economic theorizing on technological change that stress the role of accumulation and distribution of knowledge (learning), uncertainty, path dependency and irreversibility. The theoretical part of the study examines how several characteristics of technological change as well as environmental policy affect the dynamics of technology choice. The empirical part of the study explores long-run trends in energy- and labour productivity performance across a range of OECD countries at a detailed sectoral level

An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost

International Nuclear Information System (INIS)

Yuan, Xiaohui; Tian, Hao; Yuan, Yanbin; Huang, Yuehua; Ikram, Rana M.

2015-01-01

Highlights: • Multi-objective hydro-thermal-wind scheduling model (MO-HTWS) is establish. • The extra cost in MO-HTWS problem caused by wind uncertainty is considered. • An extended NSGA-III is proposed to solve MO-HTWS problem. • Constraint handling strategies are presented to modify infeasible solutions. • The feasibility and effectiveness of the proposed method is verified by example. - Abstract: Due to the characteristics of clean and renewable, wind power is significant to economic and environmental operation of electric power system so that it attracts more and more attention from researchers. This paper integrates wind power with hydrothermal scheduling to establish multi-objective economic emission hydro-thermal-wind scheduling problem (MO-HTWS) model with considering wind uncertain cost. To solve MO-HTWS problem with various complicated constraints, this paper extends NSGA-III by introducing the dominance relationship criterion based on constraint violation to select new generation. Moreover, the constraint handling strategy which repairs the infeasible solutions by modifying the decision variables in feasible zone according to the violation amount is proposed. Finally, a daily scheduling example of hydro-thermal-wind system is used to test the ability of NSGA-III for solving MO-HTWS problem. It is concluded from the superior quality and good distribution of the Pareto optimal solutions that, NSGA-III can offer an efficient alternative for optimizing MO-HTWS problem

Economic efficiency of e-learning in higher education: An industrial approach

Directory of Open Access Journals (Sweden)

Jordi Vilaseca

2008-07-01

Full Text Available Little work has been yet done to analyse if e-learning is an efficiency way in economic terms to produce higher education, especially because there are not available data in official statistics. Despite of these important constrains, this paper aims to contribute to the study of economic efficiency of e-learning through the analysis of a sample of e-learning universities during a period of time (1997-2002. We have wanted to obtain some empirical evidence to understand if e-learning is a feasible model of providing education for universities and which are the variables that allow for feasibility attainment. The main findings are: 1 that the rise of the number of students enrolled is consistent with increasing labour productivity rates; 2 that cost labour savings are explained by the improvement of universities’ economic efficiency (or total factor productivity; and 3 that improvement of total factor productivity in e-learning production is due to the attainment of scale economies, but also to two organisational innovations: outsourcing processes that leads to the increase of variable costs consistent with decreasing marginal costs, and the sharing of assets’ control and use that allow for a rise in assets rotation.

Planning and scheduling - A schedule's performance

International Nuclear Information System (INIS)

Whitman, N.M.

1993-01-01

Planning and scheduling is a process whose time has come to PSI Energy. With an awareness of the challenges ahead, individuals must look for ways to enhance the corporate competitiveness. Working toward this goal means that each individual has to dedicate themselves to this more competitive corporate environment. Being competitive may be defined as the ability of each employee to add value to the corporation's economic well being. The timely and successful implementation of projects greatly enhances competitiveness. Those projects that do not do well often suffer from lack of proper execution - not for lack of talent or strategic vision. Projects are consumers of resources such as cash and people. They produce a return when completed and will generate a better return when properly completed utilizing proven project management techniques. Completing projects on time, within budget and meeting customer expectations is the way a corporation builds it's future. This paper offers suggestions on implementing planning and scheduling and provides a review of results in the form of management reports

Studies Concerning the Economic Efficiency and Quality of the Vegetal Sausages

Directory of Open Access Journals (Sweden)

Claudiu Dan Salagean

2014-05-01

Full Text Available The purpose of performed research aimed to establish the influence of protein supplements on the quality and economic efficiency in the processing of a certain semi-smoked sausage assortment using two experimental processing technologies: with 3% soy protein derivatives as supplements and 100% soy protein derivatives as vegetal raw materials. The results revealed that, from an economical point of view, the vegetal processing technology (with exclusively vegetal raw materials was more efficiently than the supplemented processing technology (with protein derivatives as supplements and from qualitatively point of view, the obtained values have been in accordance with the in force STAS-es.

Economic analysis of Brazilian policies for energy efficient electric motors

International Nuclear Information System (INIS)

Andrade, Cássio Tersandro de Castro; Pontes, Ricardo Silva Thé

2017-01-01

Brazil is leading several energy efficiency initiatives and has ambitious goals for 2030, according to the Brazilian National Energy Plan 2030. One of the main initiatives is the minimum efficiency performance standards (MEPS) program for energy-driven equipment and the electric motors appear as the most significant one (49% share of the total electricity consumption). The MEPS levels set new grades for efficiency, and then manufacturers and consumers have to conform to the new products and costs. Policy makers have to economically assess the effects of these MEPS in order to maintain the market stability. Since the benefits of this program come from future energy savings, this cost-effective analysis has to consider the parameters uncertainty and the results should reinforce the market players’ confidence. Thus, the goal of this work is, first, to analyze the economic viability of the MEPS transitions in Brazil considering the uncertainty of the parameters involved and then, to estimate the effects of this program on the energy savings goals for 2030. At the end, we also verify whether this investment in energy efficiency is competitive with other forms of investments in energy. - Highlights: • A cost-effectiveness method with uncertainty for efficiency program is presented. • Savings from electric motors MEPS program makes the 2030 Brazilian goals possible. • Electric motors MEPS program cost-effectiveness in Brazil is confirmed. • Saved energy cost from efficiency improvement is a competitive energy investment.

An Extended Flexible Job Shop Scheduling Model for Flight Deck Scheduling with Priority, Parallel Operations, and Sequence Flexibility

Directory of Open Access Journals (Sweden)

Lianfei Yu

2017-01-01

Full Text Available Efficient scheduling for the supporting operations of aircrafts in flight deck is critical to the aircraft carrier, and even several seconds’ improvement may lead to totally converse outcome of a battle. In the paper, we ameliorate the supporting operations of carrier-based aircrafts and investigate three simultaneous operation relationships during the supporting process, including precedence constraints, parallel operations, and sequence flexibility. Furthermore, multifunctional aircrafts have to take off synergistically and participate in a combat cooperatively. However, their takeoff order must be restrictively prioritized during the scheduling period accorded by certain operational regulations. To efficiently prioritize the takeoff order while minimizing the total time budget on the whole takeoff duration, we propose a novel mixed integer liner programming formulation (MILP for the flight deck scheduling problem. Motivated by the hardness of MILP, we design an improved differential evolution algorithm combined with typical local search strategies to improve computational efficiency. We numerically compare the performance of our algorithm with the classical genetic algorithm and normal differential evolution algorithm and the results show that our algorithm obtains better scheduling schemes that can meet both the operational relations and the takeoff priority requirements.

A data envelope analysis to assess factors affecting technical and economic efficiency of individual broiler breeder hens.

Science.gov (United States)

Romero, L F; Zuidhof, M J; Jeffrey, S R; Naeima, A; Renema, R A; Robinson, F E

2010-08-01

This study evaluated the effect of feed allocation and energetic efficiency on technical and economic efficiency of broiler breeder hens using the data envelope analysis methodology and quantified the effect of variables affecting technical efficiency. A total of 288 Ross 708 pullets were placed in individual cages at 16 wk of age and assigned to 1 of 4 feed allocation groups. Three of them had feed allocated on a group basis with divergent BW targets: standard, high (standard x 1.1), and low (standard x 0.9). The fourth group had feed allocated on an individual bird basis following the standard BW target. Birds were classified in 3 energetic efficiency categories: low, average, and high, based on estimated maintenance requirements. Technical efficiency considered saleable chicks as output and cumulative ME intake and time as inputs. Economic efficiency of feed allocation treatments was analyzed under different cost scenarios. Birds with low feed allocation exhibited a lower technical efficiency (69.4%) than standard (72.1%), which reflected a reduced egg production rate. Feed allocation of the high treatment could have been reduced by 10% with the same chick production as the standard treatment. The low treatment exhibited reduced economic efficiency at greater capital costs, whereas high had reduced economic efficiency at greater feed costs. The average energetic efficiency hens had a lower technical efficiency in the low compared with the standard feed allocation. A 1% increment in estimated maintenance requirement changed technical efficiency by -0.23%, whereas a 1% increment in ME intake had a -0.47% effect. The negative relationship between technical efficiency and ME intake was counterbalanced by a positive correlation of ME intake and egg production. The negative relationship of technical efficiency and maintenance requirements was synergized by a negative correlation of hen maintenance and egg production. Economic efficiency methodologies are effective

Economic efficiency of extensive livestock production in the European Union

Directory of Open Access Journals (Sweden)

Nastić Lana

2017-01-01

Full Text Available Various types of extensive livestock production are present worldwide, primarily in regions where natural resources such as pastures and meadows could be used. Extensive livestock production is common in the EU, as well. Therefore the goal of this research was to establish economic efficiency of extensive livestock production types and to compare their efficiency with some intensive livestock production types. In order to achieve that goal FADN (Farm Accountancy Data Network methodology was used. Source of information was FADN database as well as appropriate sector analysis and publications of European commission. It has been determined that sheep and goat production is competitive with intensive production types (dairy and granivores - pigs and poultry. Cattle production (other than dairy production proved to be economically inefficient due to low output level.

Efficiency improvement for a sustainable agriculture : the integration of agronomic and farm economics approaches

NARCIS (Netherlands)

Koeijer, de T.J.

2002-01-01

Keywords: Sustainable farming systems, Agronomic efficiency, Economic efficiency, Environmental efficiency, Sustainability index, Interdisciplinary analysis.

The objective of the research described in this thesis was to determine what role improved agronomic efficiency can play in

ECONOMIC EFFICIENCY OF VARIOUS QUEEN BEES MAINTENANCE SYSTEMS

Directory of Open Access Journals (Sweden)

A POPESCU

2003-10-01

Full Text Available The modern queens maintenance systems are based on the use of artificial insemination, queens’ maintenance in the so called „queens bank” , in this way assuring an increased economic efficiency in beekeeping. This study aimed to compare the economic efficiency of the implementation of A.I. to various queen bees maintenance systems. Three alternatives have been taken into account: V1-a queen bee in a cage together with her bees, V2- a queen bank system and V3 – a queen bee in a nucleus. For each queen bee maintenance alternative have been evaluated the most important indicators such as: expenses, incomes, profit, number of marketable inseminated and selected queen bees, honey production, cost/queen, revenue/queen, profit/queen, profit rate. The most effective alternative was the queen bank system assuring 2,400 marketable queen bees and 20 kg honey delivered yearly, USD 12,442 incomes, USD 3,400 expenses, USD 9,042 profit, that is USD 3.77/queen bee and 265.72 % profit rate under the condition as A.I. costs are just USD 1,058, representing 31.1 % of total queen bees maintenance costs.

Scheduling for energy and reliability management on multiprocessor real-time systems

Science.gov (United States)

Qi, Xuan

Scheduling algorithms for multiprocessor real-time systems have been studied for years with many well-recognized algorithms proposed. However, it is still an evolving research area and many problems remain open due to their intrinsic complexities. With the emergence of multicore processors, it is necessary to re-investigate the scheduling problems and design/develop efficient algorithms for better system utilization, low scheduling overhead, high energy efficiency, and better system reliability. Focusing cluster schedulings with optimal global schedulers, we study the utilization bound and scheduling overhead for a class of cluster-optimal schedulers. Then, taking energy/power consumption into consideration, we developed energy-efficient scheduling algorithms for real-time systems, especially for the proliferating embedded systems with limited energy budget. As the commonly deployed energy-saving technique (e.g. dynamic voltage frequency scaling (DVFS)) will significantly affect system reliability, we study schedulers that have intelligent mechanisms to recuperate system reliability to satisfy the quality assurance requirements. Extensive simulation is conducted to evaluate the performance of the proposed algorithms on reduction of scheduling overhead, energy saving, and reliability improvement. The simulation results show that the proposed reliability-aware power management schemes could preserve the system reliability while still achieving substantial energy saving.

Enhancement of the grafting efficiency by the new method of fetal liver-bone marrow scheduled transplantation

International Nuclear Information System (INIS)

Xiang Yingsong; Yang Rujun; Yang Ping; Cai Jianming; Min Rui

2000-01-01

To enhance the grafting efficiency of bone marrow transplantation, lethally Irradiated recipient Kunming mice were transplantation with fetal liver-bone marrow scheduled transplantation. (FL-BMST) The numbers of WBC, nucleated cells were near to normal level 17 d after irradiation in FL-BMST group transplantation with 1 x 10 6 bone marrow cells, the indexes of CFU-E, CFU-GM, CFU-F, CFU-S, were returned to normal; the degree of GVHD in the FL-BMST group was slighter than that in sing bone marrow transplantation group; and the survival rate of mice was 60%, which was significantly higher than that of routine single bone marrow transplantation group. 'Niches' vacated each time could be fully used and be improved, be increased by fetal liver-bone marrow scheduled transplantation, so the homing of stem cells was increased, and the number of transplanted bone marrow cells could be decreased. So this new method was a better method than routine bone singe marrow transplantation

Economic impact analysis of load forecasting

International Nuclear Information System (INIS)

Ranaweera, D.K.; Karady, G.G.; Farmer, R.G.

1997-01-01

Short term load forecasting is an essential function in electric power system operations and planning. Forecasts are needed for a variety of utility activities such as generation scheduling, scheduling of fuel purchases, maintenance scheduling and security analysis. Depending on power system characteristics, significant forecasting errors can lead to either excessively conservative scheduling or very marginal scheduling. Either can induce heavy economic penalties. This paper examines the economic impact of inaccurate load forecasts. Monte Carlo simulations were used to study the effect of different load forecasting accuracy. Investigations into the effect of improving the daily peak load forecasts, effect of different seasons of the year and effect of utilization factors are presented

Economic power schedule and transactive energy through an intelligent centralized energy management system for a DC residential distribution system

DEFF Research Database (Denmark)

Yue, Jingpeng; Hu, Zhijian; Li, Chendan

2017-01-01

Direct current (DC) residential distribution systems (RDS) consisting of DC living homes will be a significant integral part of future green transmission. Meanwhile, the increasing number of distributed resources and intelligent devices will change the power flow between the main grid...... (CEMS), but also a control approach to implement and ensure DG output voltages to various DC buses in a DC RDS. Based on data collection, prediction and a certain objectives, the expert system in a CEMS can work out the optimization schedule, after this, the voltage droop control for steady voltage...... is aligned with the command of the unit power schedule. In this work, a DC RDS is used as a case study to demonstrate the process, the RDS is associated with unit economic models, and a cost minimization objective is proposed that is to be achieved based on the real-time electrical price. The results show...

Implementing energy efficient pavements: A socio-economic analysis of the development and implementation of energy efficient pavements with low rolling resistance

DEFF Research Database (Denmark)

Axelsen, Christian; Pettinari, Matteo; Schmidt, Bjarne

2017-01-01

for the transportation sector is to make road networks more energy efficient by implementing pavements with low rolling resistance, leading to lower fuel consumption. Through a series of projects focusing on reducing rolling resistance conducted since 2010, the Danish Road Directorate (DRD) has developed a durable......, energy-efficient asphalt pavement. Socio-economic analyses conducted to quantify the benefit to society associated with implementing these asphalt pavements have demonstrated very high benefits. The demonstrated results in terms of durability, energy efficiency and socio-economics have resulted...... in substantial government funding being provided for demonstration trials on 50 kilometers of energy-efficient pavement in 2018. The implementation of energy-efficient pavements will enable Denmark to contribute to the out-of-quota 2030-emission cuts in line with EU regulations....

Increasing the Economical Efficiency and Sustainability of Indoor Fish Farming by Means of Aquaponics - Review

Directory of Open Access Journals (Sweden)

Flavius Blidariu

2011-10-01

Full Text Available This review focuses on increasing economical efficiency and sustainability of indoor fish farming. Aspects like sustainability and economical efficiency were reviewed. In order to improve man`s health we must reconsider the agricultural sciences, by this we understand that we must develop technologies friendly for the environment. Sustainable indoor fish farming is the farming of the new millennium. Combining aquaculture with hydroponics we obtain a new innovation named aquaponics which respects principles of sustainable agriculture (wastewater biofiltration by plants and gives us the possibility to increase economical efficiency with an additional production (organic vegetables.

An Adaptive Power Efficient Packet Scheduling Algorithm for Wimax Networks

OpenAIRE

R Murali Prasad; P. Satish Kumar

2010-01-01

Admission control schemes and scheduling algorithms are designed to offer QoS services in 802.16/802.16e networks and a number of studies have investigated these issues. But the channel condition and priority of traffic classes are very rarely considered in the existing scheduling algorithms. Although a number of energy saving mechanisms have been proposed for the IEEE 802.16e, to minimize the power consumption of IEEE 802.16e mobile stations with multiple real-time connections has not yet be...

Scheduling nursing personnel on a microcomputer.

Science.gov (United States)

Liao, C J; Kao, C Y

1997-01-01

Suggests that with the shortage of nursing personnel, hospital administrators have to pay more attention to the needs of nurses to retain and recruit them. Also asserts that improving nurses' schedules is one of the most economic ways for the hospital administration to create a better working environment for nurses. Develops an algorithm for scheduling nursing personnel. Contrary to the current hospital approach, which schedules nurses on a person-by-person basis, the proposed algorithm constructs schedules on a day-by-day basis. The algorithm has inherent flexibility in handling a variety of possible constraints and goals, similar to other non-cyclical approaches. But, unlike most other non-cyclical approaches, it can also generate a quality schedule in a short time on a microcomputer. The algorithm was coded in C language and run on a microcomputer. The developed software is currently implemented at a leading hospital in Taiwan. The response to the initial implementation is quite promising.

Optimization of Hierarchically Scheduled Heterogeneous Embedded Systems

DEFF Research Database (Denmark)

Pop, Traian; Pop, Paul; Eles, Petru

2005-01-01

We present an approach to the analysis and optimization of heterogeneous distributed embedded systems. The systems are heterogeneous not only in terms of hardware components, but also in terms of communication protocols and scheduling policies. When several scheduling policies share a resource......, they are organized in a hierarchy. In this paper, we address design problems that are characteristic to such hierarchically scheduled systems: assignment of scheduling policies to tasks, mapping of tasks to hardware components, and the scheduling of the activities. We present algorithms for solving these problems....... Our heuristics are able to find schedulable implementations under limited resources, achieving an efficient utilization of the system. The developed algorithms are evaluated using extensive experiments and a real-life example....

Economic Efficiency, Allen / Uzama and Morishima Elasticities of Smallholder Agriculture In Dedza District, Malawi

Directory of Open Access Journals (Sweden)

Assa MAGANGA

2013-06-01

Full Text Available This paper is an attempt to measure the economic efficiency of Dedza smallholder Irish potato (Solanum tuberosum farmers in Malawi using a translog cost frontier, inefficiency effect model and input Elasticities from Seeming Unrelated Regression Model for asystem of cost share equations for labour, fertilizer, seed and land. A sample of 200 farmers has been considered from Dedza district in Malawi. Results indicate that the mean economic efficiency of Irish potato production in Dedza District is 0.61 with scores ranging between 0.12 and 0.94. The economic efficiency differences are significantly explained by non-farm employment, education, credit access, farm experience, degree of specialization, household size and frequency of weeding. The highest input substitution existed between labour and fertilizer, followed by seedfertilizer.

Build, renovate and invest economically - Efficiency and economic viability in harmony

International Nuclear Information System (INIS)

Meier, R.; Beck, M.; Previdoli, P.

2002-01-01

This book presents 13 papers that provide the latest know-how on energy economics in the building area. The authors show the importance of information and knowledge transfer when using new energy technologies. The topics covered include the role of the Swiss research programme on energy economy fundamentals, indicator systems for sustainability factors and energy characteristics of buildings. Also a discussion of the question 'rebuild or renovate', as well a series of articles about low-flow mechanical ventilation and the marketing of low-energy consumption building concepts are presented. Further articles cover the marketing of thermal solar systems as well as technology dissemination and monitoring. Also, the marginal costs of energy efficiency measures and the potential for energy savings and environmental management in trade and industry are discussed. Finally, two papers deal with the application of Swiss SIA building standards as well as technical developments and energy efficiency in the building and renovation areas

EXPRESSION OF THE TRANSPORT SECTOR OPERATIONAL EFFICIENCY EVALUATION METHODOLOGY (TRENDS AT DIFFERENT STAGES OF THE ECONOMIC CYCLE

Directory of Open Access Journals (Sweden)

Deimena KIYAK

2017-12-01

Full Text Available It is important to evaluate the impact of economic fluctuations on the transport sector operational efficiency, since such an analysis is a source of economic information which contributes to the identification of the sector's potential and advantages, the establishment of the risky areas of activity, and the exploration of the opportunities to increase its effectiveness. The aim of the study was to apply mathematical evaluation methods to the exploration of the operational efficiency of the Lithuanian transport sector companies and, based on the outcomes, to validate the opportunity of predicting a potential change of the economic cycle. The operational efficiency of the Lithuanian transport sector was analysed in the context of the cyclical national economy, and not in individual economic boom or recession periods, as that allowed for more detailed evaluation of the specific activities of the sector and its impact on Lithuanian economy. To achieve the aim, three different stages of the economic cycle in Lithuania were identified, and calculations were made during them. Based on the aggregate financial data, four different economic efficiency indicators were developed that reflected the efficiency level of the entire transport sector, and the sensitivity of the transport sector to economic fluctuations was identified. The comparison of the changes in the transport sector and in Lithuanian economy made it obvious that the level of the sector's operational efficiency could be regarded as a leading indicator of the economic cycle.

Analysis of economic efficiency in cocoa production in Ghana ...

African Journals Online (AJOL)

The main purpose of this study was to analyze the economic efficiency of resource utilization in cocoa production of the cocoa farmers in Ghana to provide information for effective application and management of farm inputs on cocoa farms and policy recommendation. A random sample of 300 farmers in the Eastern, Ashanti ...

Economic efficiency of cocoa production in Ghana | Aneani | Journal ...

African Journals Online (AJOL)

The main purpose of this study was to analyze the economic efficiency of resource utilization in cocoa production among cocoa farmers in Ghana to provide information for effective application and management of farm input on cocoa farms. A random sample of 300 farmers was selected in six cocoa growing districts in ...

Discussion on Boiler Efficiency Correction Method with Low Temperature Economizer-Air Heater System

Science.gov (United States)

Ke, Liu; Xing-sen, Yang; Fan-jun, Hou; Zhi-hong, Hu

2017-05-01

This paper pointed out that it is wrong to take the outlet flue gas temperature of low temperature economizer as exhaust gas temperature in boiler efficiency calculation based on GB10184-1988. What’s more, this paper proposed a new correction method, which decomposed low temperature economizer-air heater system into two hypothetical parts of air preheater and pre condensed water heater and take the outlet equivalent gas temperature of air preheater as exhaust gas temperature in boiler efficiency calculation. This method makes the boiler efficiency calculation more concise, with no air heater correction. It has a positive reference value to deal with this kind of problem correctly.

The economic efficiency of allowing longer combination vehicles in Texas.

Science.gov (United States)

2011-08-01

This paper shows the economic efficiency of allowing longer combination vehicles in Texas. First, an : overview of the truck size and weight policies is explained, with an emphasis on those that affect : Texas. Next, LCV operations in other countries...

Car painting process scheduling with harmony search algorithm

Science.gov (United States)

Syahputra, M. F.; Maiyasya, A.; Purnamawati, S.; Abdullah, D.; Albra, W.; Heikal, M.; Abdurrahman, A.; Khaddafi, M.

2018-02-01

Automotive painting program in the process of painting the car body by using robot power, making efficiency in the production system. Production system will be more efficient if pay attention to scheduling of car order which will be done by considering painting body shape of car. Flow shop scheduling is a scheduling model in which the job-job to be processed entirely flows in the same product direction / path. Scheduling problems often arise if there are n jobs to be processed on the machine, which must be specified which must be done first and how to allocate jobs on the machine to obtain a scheduled production process. Harmony Search Algorithm is a metaheuristic optimization algorithm based on music. The algorithm is inspired by observations that lead to music in search of perfect harmony. This musical harmony is in line to find optimal in the optimization process. Based on the tests that have been done, obtained the optimal car sequence with minimum makespan value.

ANALYSIS OF ECONOMIC EFFICIENCY IN BROILERS FATTENING

Directory of Open Access Journals (Sweden)

L. SABAU

2009-05-01

Full Text Available The paper aimed to analyze economic efficiency in broilers fattening . In this purpose , the study was carried out at Breading Prod Commercial Company, Giarmata, Timis County . The economic and financial results of two series of broilers fattening have been comparatively analyzed based on the following specific indicators variable costs ( one day chicken supply , medicines, disinfectants , veterinary services , straw bed, feeding, fuels, electricity , watering , labor force , fixed costs ( rent, interest, fixed assets depreciation , communication and other taxes , total production costs , cost per marketed broiler, cost per square meter , cost per kg live weight , gross margin , incomes ( incomes coming from marketed broilers and subsidies , profit, profit rate , profit per marketed broiler, profit per square meter, profit per kg live weight , costs to 1,000 incomes and incomes to 1,000 costs. This comparison proved that the higher the chickens series size , the higher costs and incomes . The both fatenning series have profitable but the series S2 registered lower financial performances .

Efficiency, equity or disagreement? The economics of international carbon abatement negotiations

International Nuclear Information System (INIS)

Mabey, N.; Smith, C.

1995-01-01

The current international effort to reduce greenhouse gas emissions, as embodied in the Framework Convention on Climate Change, is often criticized as inefficient by economists because it uses uniform targets instead of more theoretically efficient instruments such as international taxes. However, the effectiveness of any international treaty in producing environmental benefits is not wholly dependent on its economic efficiency but also on its political stability and the ability to accurately monitor and enforce its conditions. Stability depends on the magnitude and distribution of costs and benefits between countries which have heterogeneous economies, environmental damages, trading partners and abatement costs. The distribution of costs between countries will also depend on the type of policy instrument used to coordinate international abatement efforts. This paper analyses trade-offs that must be made when negotiating international agreements in order to balance the need for administrative convenience and economic efficiency with the realization that any agreement is better than no agreement

Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH.

Science.gov (United States)

Oh, Sukho; Hwang, DongYeop; Kim, Ki-Hyung; Kim, Kangseok

2018-04-16

Time Slotted Channel Hopping (TSCH) is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency. Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks. Recently proposed autonomous scheduling schemes provide flexible timeslot scheduling based on the routing topology, but do not take into account the network traffic and packet forwarding delays. In this paper, we propose an autonomous scheduling scheme for convergecast in TSCH networks with RPL as a routing protocol, named Escalator. Escalator generates a consecutive timeslot schedule along the packet forwarding path to minimize the packet transmission delay. The schedule is generated autonomously by utilizing only the local routing topology information without any additional signaling with other nodes. The generated schedule is guaranteed to be conflict-free, in that all nodes in the network could transmit packets to the sink in every slotframe cycle. We implement Escalator and evaluate its performance with existing autonomous scheduling schemes through a testbed and simulation. Experimental results show that the proposed Escalator has lower end-to-end delay and higher packet delivery ratio compared to the existing schemes regardless of the network topology.

The economics of energy efficiency for the poor--a South African case study

International Nuclear Information System (INIS)

Spalding-Fecher, Randall; Clark, Alix; Davis, Mark; Simmonds, Gillian

2002-01-01

South Africa's Reconstruction and Development Programme set ambitious goals for providing basic services to all, including housing and electrification. More efficient use of energy has the potential to socially and politically support these goals, particularly when it is targeted at low-income communities lacking adequate energy services. This paper examines the economics of energy efficiency for the urban poor from the perspective of society, utilities and poor consumers, using five example programmes. While the five energy efficiency programmes generally have significant economic and environmental benefits from a social perspective, they may not be as attractive to utilities and consumers. Also examined are the policy options for overcoming the significant barriers to energy efficiency, and ways government can bridge the gap between what is good for society and what is good for the electricity industry

Efficient Hybrid Genetic Based Multi Dimensional Host Load Aware Algorithm for Scheduling and Optimization of Virtual Machines

OpenAIRE

Thiruvenkadam, T; Karthikeyani, V

2014-01-01

Mapping the virtual machines to the physical machines cluster is called the VM placement. Placing the VM in the appropriate host is necessary for ensuring the effective resource utilization and minimizing the datacenter cost as well as power. Here we present an efficient hybrid genetic based host load aware algorithm for scheduling and optimization of virtual machines in a cluster of Physical hosts. We developed the algorithm based on two different methods, first initial VM packing is done by...

Developing an efficient scheduling template of a chemotherapy treatment unit: A case study.

Science.gov (United States)

Ahmed, Z; Elmekkawy, Ty; Bates, S

2011-01-01

This study was undertaken to improve the performance of a Chemotherapy Treatment Unit by increasing the throughput and reducing the average patient's waiting time. In order to achieve this objective, a scheduling template has been built. The scheduling template is a simple tool that can be used to schedule patients' arrival to the clinic. A simulation model of this system was built and several scenarios, that target match the arrival pattern of the patients and resources availability, were designed and evaluated. After performing detailed analysis, one scenario provide the best system's performance. A scheduling template has been developed based on this scenario. After implementing the new scheduling template, 22.5% more patients can be served. 1. CancerCare Manitoba is a provincially mandated cancer care agency. It is dedicated to provide quality care to those who have been diagnosed and are living with cancer. MacCharles Chemotherapy unit is specially built to provide chemotherapy treatment to the cancer patients of Winnipeg. In order to maintain an excellent service, it tries to ensure that patients get their treatment in a timely manner. It is challenging to maintain that goal because of the lack of a proper roster, the workload distribution and inefficient resource allotment. In order to maintain the satisfaction of the patients and the healthcare providers, by serving the maximum number of patients in a timely manner, it is necessary to develop an efficient scheduling template that matches the required demand with the availability of resources. This goal can be reached using simulation modelling. Simulation has proven to be an excellent modelling tool. It can be defined as building computer models that represent real world or hypothetical systems, and hence experimenting with these models to study system behaviour under different scenarios.1, 2 A study was undertaken at the Children's Hospital of Eastern Ontario to identify the issues behind the long waiting

Economic Reforms and Cost Efficiency of Coffee Farmers in Central ...

African Journals Online (AJOL)

We, therefore, conclude that small-holder-based agricultural development policy is still relevant and an efficient mode of organising production in Kenya, even after the major institutional and economic changes brought about market liberalisation. The pursuit of small-holder-based agricultural development, however, calls ...

Economic dispatch of a single micro-gas turbine under CHP operation

International Nuclear Information System (INIS)

Rist, Johannes F.; Dias, Miguel F.; Palman, Michael; Zelazo, Daniel; Cukurel, Beni

2017-01-01

Highlights: •Economic dispatch of a micro gas turbine is considered for smart grid integration. •A detailed thermodynamic cycle analysis is conducted for variable load CHP operation. •Benefits are shown for case studies with real demand profiles and energy tariffs. •Optimal unit schedule can be electricity, heat, revenue or maintenance-cost driven. -- Abstract: This work considers the economic dispatch of a single micro-gas turbine under combined heat and power (CHP) operation. A detailed thermodynamic cycle analysis is conducted on a representative micro-gas turbine unit with non-constant component efficiencies and recuperator bypass. Based on partial and full load configurations, an accurate optimization model is developed for solving the economic dispatch problem of integrating the turbine into the grid. The financial benefit and viability of this approach is then examined on four detailed scenarios using real data on energy demand profiles and electricity tariffs. The analysis considers the optimal operation in a large hotel, a full-service restaurant, a small hotel, and a residential neighborhood during various seasons. The optimal schedule follows four fundamental economic drivers which are electricity, heat, revenue, and maintenance-cost driven.

Economic Efficiency Assessment of Autonomous Wind/Diesel/Hydrogen Systems in Russia

Directory of Open Access Journals (Sweden)

O. V. Marchenko

2013-01-01

Full Text Available The economic efficiency of harnessing wind energy in the autonomous power systems of Russia is analyzed. Wind turbines are shown to be competitive for many considered variants (groups of consumers, placement areas, and climatic and meteorological conditions. The authors study the possibility of storing energy in the form of hydrogen in the autonomous wind/diesel/hydrogen power systems that include wind turbines, diesel generator, electrolyzer, hydrogen tank, and fuel cells. The paper presents the zones of economic efficiency of the system (set of parameters that provide its competitiveness depending on load, fuel price, and long-term average annual wind speed. At low wind speed and low price of fuel, it is reasonable to use only diesel generator to supply power to consumers. When the fuel price and wind speed increase, first it becomes more economical to use a wind-diesel system and then wind turbines with a hydrogen system. In the latter case, according to the optimization results, diesel generator is excluded from the system.

Analysis for Involvement of TPP Operating in Accordance with Heating Schedule to Passing Through Failures of Electric Load Schedules

Directory of Open Access Journals (Sweden)

V. I. Nazarov

2013-01-01

Full Text Available The paper describes technical and economic evaluation of various methods pertaining to passing through failures of electric load at TPP which is operating in accordance with heating schedule.

Experiences with Implementing a Distributed and Self-Organizing Scheduling Algorithm for Energy-Efficient Data Gathering on a Real-Life Sensor Network Platform

NARCIS (Netherlands)

Zhang, Y.; Chatterjea, Supriyo; Havinga, Paul J.M.

2007-01-01

We report our experiences with implementing a distributed and self-organizing scheduling algorithm designed for energy-efficient data gathering on a 25-node multihop wireless sensor network (WSN). The algorithm takes advantage of spatial correlations that exist in readings of adjacent sensor nodes

Analysis of remote working practice AND CALCULATION OF ECONOMIC EFFICIENCY

Directory of Open Access Journals (Sweden)

K. S. Ermakov

2015-01-01

Full Text Available The article is devoted to description of working from home practice at Allianz Insurance UK и Ernst & Young, UK & Ireland. It fulfilled the analysis of the best practices in the use of new forms of social and labor relations - remote work. The characteristics of using types of distance work, the policy of implementation and realization of such work in the company, the criteria for the transfer of employees to work remotely, the possibility of a flexible approach to workflow are given. The calculation of the economic efficiency of technology telecommuting at an aviation company of the Russian Federation is done. The method of calculating the cost-effectiveness based on several factors, such as costs for the organization and content of the workplace, change in labor productivity and others, was proposed by the authors. The calculation of economic efficiency by using the number of working hours, the impact on capital inputs and the impact on quit rates is considered.

Escalator: An Autonomous Scheduling Scheme for Convergecast in TSCH

Directory of Open Access Journals (Sweden)

Sukho Oh

2018-04-01

Full Text Available Time Slotted Channel Hopping (TSCH is widely used in the industrial wireless sensor networks due to its high reliability and energy efficiency. Various timeslot and channel scheduling schemes have been proposed for achieving high reliability and energy efficiency for TSCH networks. Recently proposed autonomous scheduling schemes provide flexible timeslot scheduling based on the routing topology, but do not take into account the network traffic and packet forwarding delays. In this paper, we propose an autonomous scheduling scheme for convergecast in TSCH networks with RPL as a routing protocol, named Escalator. Escalator generates a consecutive timeslot schedule along the packet forwarding path to minimize the packet transmission delay. The schedule is generated autonomously by utilizing only the local routing topology information without any additional signaling with other nodes. The generated schedule is guaranteed to be conflict-free, in that all nodes in the network could transmit packets to the sink in every slotframe cycle. We implement Escalator and evaluate its performance with existing autonomous scheduling schemes through a testbed and simulation. Experimental results show that the proposed Escalator has lower end-to-end delay and higher packet delivery ratio compared to the existing schemes regardless of the network topology.

Dynamic Sleep Scheduling on Air Pollution Levels Monitoring with Wireless Sensor Network

Directory of Open Access Journals (Sweden)

Gezaq Abror

2018-01-01

Full Text Available Wireless Sensor Network (WSN can be applied for Air Pollution Level Monitoring System that have been determined by the Environmental Impact Management Agency which is  PM10, SO2, O3, NO2 and CO. In WSN, node system is constrained to a limited power supply, so that the node system has a lifetime. To doing lifetime maximization, power management scheme is required and sensor nodes should use energy efficiently. This paper proposes dynamic sleep scheduling using Time Category-Fuzzy Logic (Time-Fuzzy Scheduling as a reference for calculating time interval for sleep and activated node system to support power management scheme. This research contributed in power management design to be applied to the WSN system to reduce energy expenditure. From the test result in real hardware node system, it can be seen that Time-Fuzzy Scheduling is better in terms of using the battery and it is better in terms of energy consumption too because it is more efficient 51.85% when it is compared with Fuzzy Scheduling, it is more efficient 68.81% when it is compared with Standard Scheduling and it is more efficient 85.03% when compared with No Scheduling.

Efficiency improvement for a sustainable agriculture : the integration of agronomic and farm economics approaches

OpenAIRE

Koeijer, de, T.J.

2002-01-01

Keywords: Sustainable farming systems, Agronomic efficiency, Economic efficiency, Environmental efficiency, Sustainability index, Interdisciplinary analysis.

The objective of the research described in this thesis was to determine what role improved agronomic efficiency can play in the transition towards more sustainable production systems. Agronomic efficiency measures the technical performance. If it could be improved, environmental damage could be reduced while, at the sam...

Hard Real-Time Task Scheduling in Cloud Computing Using an Adaptive Genetic Algorithm

Directory of Open Access Journals (Sweden)

Amjad Mahmood

2017-04-01

Full Text Available In the Infrastructure-as-a-Service cloud computing model, virtualized computing resources in the form of virtual machines are provided over the Internet. A user can rent an arbitrary number of computing resources to meet their requirements, making cloud computing an attractive choice for executing real-time tasks. Economical task allocation and scheduling on a set of leased virtual machines is an important problem in the cloud computing environment. This paper proposes a greedy and a genetic algorithm with an adaptive selection of suitable crossover and mutation operations (named as AGA to allocate and schedule real-time tasks with precedence constraint on heterogamous virtual machines. A comprehensive simulation study has been done to evaluate the performance of the proposed algorithms in terms of their solution quality and efficiency. The simulation results show that AGA outperforms the greedy algorithm and non-adaptive genetic algorithm in terms of solution quality.

Economic efficiency and risk character of fire management programs, Northern Rocky Mountains

Science.gov (United States)

Thomas J. Mills; Frederick W. Bratten

1988-01-01

Economic efficiency and risk have long been considered during the selection of fire management programs and the design of fire management polices. The risk considerations was largely subjective, however, and efficiency has only recently been calculated for selected portions of the fire management program. The highly stochastic behavior of the fire system and the high...

Heuristic Approach for Balancing Shift Schedules

International Nuclear Information System (INIS)

Kim, Dae Ho; Yun, Young Su; Lee, Yong Hee

2005-01-01

In this paper, a heuristic approach for balancing shift schedules is proposed. For the shift schedules, various constraints which have usually been considered in realworld industry are used, and the objective is to minimize the differences of the workloads in each workgroup. The constraints and objective function are implemented in the proposed heuristic approach. Using a simple instance, the efficiency of the proposed heuristic approach is proved

Energy efficiency, human behavior, and economic growth: Challenges to cutting energy demand to sustainable levels

Science.gov (United States)

Santarius, Tilman

2015-03-01

Increasing energy efficiency in households, transportation, industries, and services is an important strategy to reduce energy service demand to levels that allow the steep reduction of greenhouse gases, and a full fledged switch of energy systems to a renewable basis. Yet, technological efficiency improvements may generate so-called rebound effects, which may `eat up' parts of the technical savings potential. This article provides a comprehensive review of existing research on these effects, raises critiques, and points out open questions. It introduces micro-economic rebound effect and suggests extending consumer-side analysis to incorporate potential `psychological rebound effects.' It then discusses meso-economic rebound effects, i.e. producer-side and market-level rebounds, which so far have achieved little attention in the literature. Finally, the article critically reviews evidence for macro-economic rebound effects as energy efficiency-induced economic growth impacts. For all three categories, the article summarizes assessments of their potential quantitative scope, while pointing out remaining methodological weaknesses and open questions. As a rough "rule of thumb", in the long term and on gross average, only half the technical savings potential of across-the-board efficiency improvements may actually be achieved in the real world. Policies that aim at cutting energy service demand to sustainable levels are well advised to take due note of detrimental behavioral and economic growth impacts, and should foster policies and measures that can contain them.

Modelling of Efficiency Change as a Source of Economic Growth in Agriculture

Directory of Open Access Journals (Sweden)

Bezat-Jarzębowska Agnieszka

2016-12-01

Full Text Available In the paper, the subject of economic growth in agriculture was raised. One of the determinants of this process, namely an efficiency change was under the assessment. The aim of the paper was to evaluate the changes of efficiency in the Polish agriculture. In the study, a stochastic parametric production function was used.

Network scheduling at Belene NPP construction site

International Nuclear Information System (INIS)

Matveev, A.

2010-01-01

Four types of schedules differing in the level of their detail are singled out to enhance the efficiency of Belene NPP Project implementation planning and monitoring: Level 1 Schedule–Summary Integrated Overall Time Schedule (SIOTS) is an appendix to EPC Contract. The main purpose of SIOTS is the large scale presentation of the current information on the Project implementation. Level 2 Schedule–Integrated Overall Time Schedule (IOTS)is the contract schedule for the Contractor (ASE JSC) and their subcontractors.The principal purpose of IOTS is the work progress planning and monitoring, the analysis of the effect of activities implementation upon the progress of the Project as a whole. IOTS is the reporting schedule at the Employer –Contractor level. Level 3 Schedules, Detail Time Schedules(DTS) are developed by those who actually perform the work and are agreed upon with Atomstroyexport JSC.The main purpose of DTS is the detail planning of Atomstroyexport subcontractor's activities. DTSare the reporting schedules at the level of Contractor-Subcontractor. Level 4 Schedules are the High Detail Time Schedules (HDTS), which are the day-to-day plans of work implementation and are developed, as a rule, for a week's time period.Each lower level time schedule details the activities of the higher level time schedule

Water Market-scale Agricultural Planning: Promoting Competing Water Resource Use Efficiency Through Agro-Economics

Science.gov (United States)

Delorit, J. D.; Block, P. J.

2017-12-01

Where strong water rights law and corresponding markets exist as a coupled econo-legal mechanism, water rights holders are permitted to trade allocations to promote economic water resource use efficiency. In locations where hydrologic uncertainty drives the assignment of annual per-water right allocation values by water resource managers, collaborative water resource decision making by water rights holders, specifically those involved in agricultural production, can result in both resource and economic Pareto efficiency. Such is the case in semi-arid North Chile, where interactions between representative farmer groups, treated as competitive bilateral monopolies, and modeled at water market-scale, can provide both price and water right allocation distribution signals for unregulated, temporary water right leasing markets. For the range of feasible per-water right allocation values, a coupled agricultural-economic model is developed to describe the equilibrium distribution of water, the corresponding market price of water rights and the net surplus generated by collaboration between competing agricultural uses. Further, this research describes a per-water right inflection point for allocations where economic efficiency is not possible, and where price negotiation among competing agricultural uses is required. An investigation of the effects of water right supply and demand inequality at the market-scale is completed to characterize optimal market performance under existing water rights law. The broader insights of this research suggest that water rights holders engaged in agriculture can achieve economic benefits from forming crop-type cooperatives and by accurately assessing the economic value of allocation.

The Efficiency Opportunity Impact of Information Systems in an Organizational Economics Framework of Informatics

OpenAIRE

Kühn Pedersen, Mogens; Holm Larsen, Michael

2004-01-01

Information systems (IS) have a record of raising efficiency and effectiveness in business operations. In the modern economy, ongoing efficiency improvements through innovation play a decisive role. A new theory of distributed relations refocuses innovations comptence from core to distributed competence, raising new efficiency opportunities. The paper suggest an economic model of the efficiency op-portunities of information processing revealing the efficiency form of distributed relations, a ...

NASA Schedule Management Handbook

Science.gov (United States)

2011-01-01

The purpose of schedule management is to provide the framework for time-phasing, resource planning, coordination, and communicating the necessary tasks within a work effort. The intent is to improve schedule management by providing recommended concepts, processes, and techniques used within the Agency and private industry. The intended function of this handbook is two-fold: first, to provide guidance for meeting the scheduling requirements contained in NPR 7120.5, NASA Space Flight Program and Project Management Requirements, NPR 7120.7, NASA Information Technology and Institutional Infrastructure Program and Project Requirements, NPR 7120.8, NASA Research and Technology Program and Project Management Requirements, and NPD 1000.5, Policy for NASA Acquisition. The second function is to describe the schedule management approach and the recommended best practices for carrying out this project control function. With regards to the above project management requirements documents, it should be noted that those space flight projects previously established and approved under the guidance of prior versions of NPR 7120.5 will continue to comply with those requirements until project completion has been achieved. This handbook will be updated as needed, to enhance efficient and effective schedule management across the Agency. It is acknowledged that most, if not all, external organizations participating in NASA programs/projects will have their own internal schedule management documents. Issues that arise from conflicting schedule guidance will be resolved on a case by case basis as contracts and partnering relationships are established. It is also acknowledged and understood that all projects are not the same and may require different levels of schedule visibility, scrutiny and control. Project type, value, and complexity are factors that typically dictate which schedule management practices should be employed.

Problems of Development and Increase of Economic Efficiency of Sugar Beet Production

Directory of Open Access Journals (Sweden)

Tomashevska Olga A.

2017-06-01

Full Text Available The aim of the article is the studying of the trends of development and economic efficiency of sugar beet production (using the example of agricultural enterprises of Rokytne district of Kyiv region and an attempt to outline the directions for improvement of the situation in the sugar beet industry. As a result of the research, the dynamics of development and economic efficiency of sugar beet production at farms of Rokytne district of Kyiv region is analyzed, and the break-even volume of sugar beet production by agrarian enterprises of Kiev region and an individual enterprise of Rokytne district is determined. Particular attention is paid to the dynamics of profitability of sugar beet production in the period from 2011 to 2015. The main problems hindering the development of sugar beet production are identified, namely, the lack of sales channels and high production costs. Prospects for further research in this area are to increase the economic efficiency of sugar beet production and find ways to develop this sector, provided that the production is properly organized, the manufacturing process is followed, the fertilizers are properly used, the seeds are chosen correctly, advanced technologies and high-performance equipment are applied, etc.

Analysis and Optimisation of Hierarchically Scheduled Multiprocessor Embedded Systems

DEFF Research Database (Denmark)

Pop, Traian; Pop, Paul; Eles, Petru

2008-01-01

We present an approach to the analysis and optimisation of heterogeneous multiprocessor embedded systems. The systems are heterogeneous not only in terms of hardware components, but also in terms of communication protocols and scheduling policies. When several scheduling policies share a resource......, they are organised in a hierarchy. In this paper, we first develop a holistic scheduling and schedulability analysis that determines the timing properties of a hierarchically scheduled system. Second, we address design problems that are characteristic to such hierarchically scheduled systems: assignment...... of scheduling policies to tasks, mapping of tasks to hardware components, and the scheduling of the activities. We also present several algorithms for solving these problems. Our heuristics are able to find schedulable implementations under limited resources, achieving an efficient utilisation of the system...

Courts, Scheduled Damages, and Medical Malpractice Insurance

DEFF Research Database (Denmark)

Bertoli, Paola; Grembi, Veronica

We assess the impact of the introduction of schedules of non-economic damages (i.e. tiered caps systems) on the behavior of insurers operating in the medical liability market for hospitals while controlling the performance of the judicial system, measured as court backlog. Using a difference......-in-differences strategy on Italian data, we find that the introduction of schedules increases the presence of insurers (i.e. medical liability market attractiveness) only in inefficient judicial districts. In the same way, court inefficiency is attractive to insurers for average values of schedules penetration...... of the market, with an increasing positive impact of inefficiency as the territorial coverage of schedules increases. Finally, no significant impact is registered on paid premiums. Our analysis sheds light on a complex set of elements affecting the decisions of insurers in malpractice markets. The analysis...

Economic efficiency of application of innovative materials and structures in high-rise construction

Science.gov (United States)

Golov, Roman; Dikareva, Varvara; Gorshkov, Roman; Agarkov, Anatoly

2018-03-01

The article is devoted to the analysis of technical and economic efficiency of application of tube confined concrete structures in high-rise construction. The study of comparative costs of materials with the use of different supporting columns was carried out. The main design, operational, technological and economic advantages of the tube confined concrete technology were evaluated, conclusions were drawn about the high strength and deformation properties of axial compression of steel tubes filled with high-strength concrete. The efficiency of the tube confined concrete use is substantiated, which depends mainly on the scale factor and percentage of reinforcement affecting its load-bearing capacity.

Linearly Ordered Attribute Grammar Scheduling Using SAT-Solving

NARCIS (Netherlands)

Bransen, Jeroen; van Binsbergen, L.Thomas; Claessen, Koen; Dijkstra, Atze

2015-01-01

Many computations over trees can be specified using attribute grammars. Compilers for attribute grammars need to find an evaluation order (or schedule) in order to generate efficient code. For the class of linearly ordered attribute grammars such a schedule can be found statically, but this problem

International Comparison of Water Resources Utilization Efficiency in the Silk Road Economic Belt

Science.gov (United States)

Yan, Long; Ma, Jing; Deng, Wei; Wang, Yong

2018-03-01

In order to get knowledge of the standard of water utilization of the Silk Road Economic Belt from international point of view, the paper analyzes the annual variation of water resources utilization in the Silk Road Economic Belt, and compares with other typical countries. The study shows that Water resources utilization efficiency has been greatly improved in recent 20 years and the water consumption per USD 10000 of GDP has been declined 87.97%. the improvement of industrial water consumption efficiency is the key driving factors for substantial decrease in water consumption.The comparison of water utilization and human development shows that the higher HDI the country is, the more efficient water utilization the country has. water consumption per USD 10000 of GDP in country with HDI>0.9 is 194m³, being 8.5% of that in country with HDI from 0.5 to 0.6. On the premise of maintaining the stable economic and social development of the Silk Road Economic Belt, the realization of the control target of total water consumption must depend on the strict control over the disorderly expansion of irrigated area, the change in the mode of economic growth, the implementation of the development strategy for new industrialization and urbanization, vigorous development of the processing industry with low water consumption as well as the high-tech and high value-added industry. Only in this way, the control target of total water consumption can be realized in the process of completing the industrialization task.

Influences of economic development in the Brazilian energy efficiency projects

Directory of Open Access Journals (Sweden)

Javier Cárcel Carrasco

2012-09-01

Full Text Available This work has as main goal to present some of the issues regarding the effects of the Brazilian economy in the effectiveness of national energy efficiency projects in order to provide some guidelines for optimizing the energy saving actions. The replacement of traditional electric motors with high efficiency motors has been considered, or that brings innovation and increases the need to search for new technologies for Brazilian industries. We must consider whether this new paradigm requires a strong federal government's investment in Brazil in order to allow the implementation of energy efficiency programs, mainly in small and medium industries. This document is divided into three main parts. The first part deals with some aspects of the economic crisis. The second presents the most important data of the National Electricity Conservation (PROCEL and Energy Efficiency Program of the ANEEL (National Electric Energy Agency. The third shows data on Small and Medium Industries and how their energy efficiency programs were affected.

Gender and Relative Economic Efficiency in Sweet Potato Farms of ...

African Journals Online (AJOL)

This study employed the stochastic frontier cost function to measure the level of economic efficiency and its determinants in small-scale sweet potato production in Imo State, Nigeria on gender basis. A multi-stage random sampling technique was used to select 120 sweet potato farmers (64 females and 56 males) in the ...

Finance-economical indexes of efficiency of development of railway transport

Directory of Open Access Journals (Sweden)

M. Chekhovska

2012-12-01

Full Text Available Because of formation of public joint-stock company of railway transport of the common use, by an author it is suggested to carry out the analysis of efficiency of subsequent development of railway transport, leaning against indexes which represent the finance-economical constituent of results of activity of corporate enterprises.

The Rethinking of the Economic Activity Based on Principles of Eco-Efficiency

Directory of Open Access Journals (Sweden)

Daniela VÎRJAN

2011-07-01

Full Text Available Drought, floods, damaging storms, heat waves, acid rain, climate changes are but a few of the consequences of human action upon the environment. Can we possibly live against the environment? The answer is NO, and as such we must run an economy which respects the principles of eco-efficiency because only so can economic progress go on. Green economy is a great opportunity for all of the world’s countries, and is a real economy which keeps the resource-needs and environment relation in balance, aims towards quality and not quantity, lays emphasis on regeneration, recycling, reuse and creativity. Eco-efficiency implies both innovation towards a high degree of product dematerialization, services and systems, alongside with greatly changing current production and consumption practices. If we produce based on the principle of eco-efficiency we can reduce the effects of the profound economic, ecological, socio-political and cultural-spiritual crisis which marks our planet and countries.

Theoretical Grounds of Formation of the Efficient State Economic Policy

Directory of Open Access Journals (Sweden)

Semyrak Oksana S.

2013-12-01

Full Text Available The article conducts historical and analytical analysis of views on the role of state administration in the sphere of economic relations by various economic directions in order to allocate traditional and newest essential reference points of the modern theory of state regulation of economy. It identifies specific features of modern models of economic policy that envisage setting goals by the state, selection of relevant efficient tools and mathematic function, which would describe dependencies between them. It considers the concept of the basic theory of economic policy of Jan Tinbergen, its advantages and shortcomings. It studies prerequisites and conducts analysis of the modern concept of the role of state in economy as a subject of the market. It considers the modern concept of economic socio-dynamics, pursuant to which the main task of the state is maximisation of social usefulness and permanent improvement of the Pareto-optimal. It considers the “socio-dynamic multiplicator” notion, which envisages availability of three main components: social effect from activity of the state, yearning of individuals for creation of something new and availability of formal and informal institutions that united first two elements.

Computer-aided resource planning and scheduling for radiological services

Science.gov (United States)

Garcia, Hong-Mei C.; Yun, David Y.; Ge, Yiqun; Khan, Javed I.

1996-05-01

There exists tremendous opportunity in hospital-wide resource optimization based on system integration. This paper defines the resource planning and scheduling requirements integral to PACS, RIS and HIS integration. An multi-site case study is conducted to define the requirements. A well-tested planning and scheduling methodology, called Constrained Resource Planning model, has been applied to the chosen problem of radiological service optimization. This investigation focuses on resource optimization issues for minimizing the turnaround time to increase clinical efficiency and customer satisfaction, particularly in cases where the scheduling of multiple exams are required for a patient. How best to combine the information system efficiency and human intelligence in improving radiological services is described. Finally, an architecture for interfacing a computer-aided resource planning and scheduling tool with the existing PACS, HIS and RIS implementation is presented.

India's economic growth and energy consumption: scope for efficiency and conservation

International Nuclear Information System (INIS)

Yadav, S.S.

2000-01-01

Like all developing countries in general, India has very low per capita consumption of energy. But the consumption pattern per unit of economic output is high. There is a need to make efforts and evolve mechanism so that energy consumption growth rate decelerates while the desired economic growth takes place. In case of India, large imports of petroleum products impact very adversely on trade balance and consequently on economic growth itself. This paper enumerates various ways - legal, financial and technological - that should be adopted to increase energy efficiency and conservation effort. No single method or tool in isolation may be effective but an integrated approach involving several tools and mechanisms is sure to yield desired results. (author)

The Economic Efficiency of European Football Clubs--Data Envelopment Analysis (DEA) Approach

Science.gov (United States)

Pyatunin, Aleksey V.; Vishnyakova, Angelina B.; Sherstneva, Natalia L.; Mironova, Svetlana P.; Dneprov, Sergey A.; Grabozdin, Yuriy P.

2016-01-01

The relevance of this paper lies in the fact that football business has grown significantly in the past 20 years and football clubs have become large companies, which in an effort to be profitable and successful on the field need to improve the efficiency of their business. The aim of this article is to measure economic efficiency of 48 big…

Nuclear liability, nuclear safety, and economic efficiency

International Nuclear Information System (INIS)

Wood, W.C.

1980-01-01

This dissertation applies the methods of economic analysis to nuclear liability and Price-Anderson. First the legislative history is reviewed; in that history the economic role of liability in affecting safety and allocating risk was virtually ignored. Succeeding chapters reformulate issues from the policy debate and subject them to economic analysis. A persistent issue is whether nuclear utilities respond to their limited liability by allowing a higher probability of serious accident. Comparative-static analysis shows that limited liability does lead to a higher chance of accidents, though the effect may be small. The analysis also shows that safety is achieved in a more capital-intensive manner than is cost-minimizing and that limited liability causes reactor owners to favor more heavily populated sites for plants. Therefore, the siting decision makes potential loss greater even if there is no change in the probability of an accident. Citizens' preferences on nuclear liability are examined next, starting with the nature of coverage that would be just in the sense of contraction theories such as John Rawls' Theory of Justice. Citizens behind Rawls' veil of ignorance, forced to be fair because of their ignorance of whether they will be harmed, unanimously choose a high level of coverage. The just level of coverage is greater than the existing $560 million. Second, the nature of economically efficient liability coverage is determined and contrasted with coverage that would emerge from a democratic system of public choice. Population and expected damage profiles indicate that majorities could easily be formed among groups of citizens expecting to suffer little of the damage of a nuclear accident. Thus, majority voting on liability arrangements is likely to produce an inefficiently low level of coverage

Triple Helix Model as an Efficient Mechanism of Food Security Provision in Regional Economic Entities and the Economic System as a Whole

Directory of Open Access Journals (Sweden)

Mihail N. Dudin

2014-08-01

Full Text Available The leading countries of the world consider food security the important condition of internal political and social-economic stability of the state and its external independence. The topic of the article is crucial due to the fact that the problem of food security is rather complicated and multilevel and should be considered at different interrelated hierarchical levels. In this context the efficient model of food security is the result of the permanent dialogue between the representatives of the state government, business entities, social organizations and scientific institutions. The article justifies the fact that the model of innovation development, known as ‘the triple helix model’ should be applied at the modern stage of economic development as an efficient tool for the food security provision, which can be implemented in the activity of regional economic entities and the whole economic system of the Russian Federation.

Resource values in analyzing fire management programs for economic efficiency

Science.gov (United States)

Irene A. Althaus; Thomas J. Mills

1982-01-01

In analyzing fire management programs for their economic efficiency, it is necessary to assign monetary values to the changes in resource outputs caused by, fire. The derivation of resource values is complicated by imperfect or nonexistent commercial market structures. The valuation concept recommended for fire program analyses is willingness-to-pay because it permits...

Energy efficiency, human behavior, and economic growth: Challenges to cutting energy demand to sustainable levels

Energy Technology Data Exchange (ETDEWEB)

Santarius, Tilman, E-mail: tilman@santarius.de [Visiting Scholar, Institute of European Studies and Energy and Resources Group, University of California, Berkeley, 310 Barrows Hall, Berkeley, CA 94720-3050 (United States)

2015-03-30

Increasing energy efficiency in households, transportation, industries, and services is an important strategy to reduce energy service demand to levels that allow the steep reduction of greenhouse gases, and a full fledged switch of energy systems to a renewable basis. Yet, technological efficiency improvements may generate so-called rebound effects, which may ‘eat up’ parts of the technical savings potential. This article provides a comprehensive review of existing research on these effects, raises critiques, and points out open questions. It introduces micro-economic rebound effect and suggests extending consumer-side analysis to incorporate potential ‘psychological rebound effects.’ It then discusses meso-economic rebound effects, i.e. producer-side and market-level rebounds, which so far have achieved little attention in the literature. Finally, the article critically reviews evidence for macro-economic rebound effects as energy efficiency-induced economic growth impacts. For all three categories, the article summarizes assessments of their potential quantitative scope, while pointing out remaining methodological weaknesses and open questions. As a rough “rule of thumb”, in the long term and on gross average, only half the technical savings potential of across-the-board efficiency improvements may actually be achieved in the real world. Policies that aim at cutting energy service demand to sustainable levels are well advised to take due note of detrimental behavioral and economic growth impacts, and should foster policies and measures that can contain them.

The technical and economic efficiency in the mineral processing for lead-zinc and copper ores by Microsoft excel

OpenAIRE

Krstev, Aleksandar; Krstev, Boris; Krstev, Dejan; Vuckovski, Zoran

2012-01-01

The comparisons between economical and technical efficiency for lead flotation indicators, zinc flotation indicators in Sasa mine, Toranica and Zletovo mine. The comparisons for economic and technical efficiency for copper flotation indicators in Bucim mine. The possibility of equaled between both efficiencies for flotation indicators from mentioned mines using Microsoft Excel 2010.

Optimal Charging Schedule Planning and Economic Analysis for Electric Bus Charging Stations

Directory of Open Access Journals (Sweden)

Rong-Ceng Leou

2017-04-01

Full Text Available The battery capacity of electric buses (EB used for public transportation is greater than that of electric cars, and the charging power is also several times greater than that used in electric cars; this can result in high energy consumption and negatively impact power distribution networks. This paper proposes a framework to determine the optimal contracted power capacity and charging schedule of an EB charging station in such a way that energy costs can be reduced. A mathematical model of controlled charging, which includes the capacity and energy charges of the station, was developed to minimize costs. The constraints of the model include the charging characteristics of an EB and the operational guidelines of the bus company. A practical EB charging station was used to verify the proposed model. The financial viability of this EB charging station is also studied in this paper. The economic analysis model for this charging station considers investment and operational costs, and the operational revenue. Sensitivity analyses with respect to some key parameters are also performed in this paper. Based on actual operational routes and EB charging schemes, test results indicate that the EB charging station investment is feasible, and the planning model proposed can be used to determine optimal station power capacity and minimize energy costs.

Analysis of extreme values of the economic efficiency indicators of transport infrastructure projects

Science.gov (United States)

Korytárová, J.; Vaňková, L.

2017-10-01

Paper builds on previous research of the authors into the evaluation of economic efficiency of transport infrastructure projects evaluated by the economic efficiency ratio - NPV, IRR and BCR. Values of indicators and subsequent outputs of the sensitivity analysis show extremely favourable values in some cases. The authors dealt with the analysis of these indicators down to the level of the input variables and examined which inputs have a larger share of these extreme values. NCF for the calculation of above mentioned ratios is created by benefits that arise as the difference between zero and investment options of the project (savings in travel and operating costs, savings in travel time costs, reduction in accident costs and savings in exogenous costs) as well as total agency costs. Savings in travel time costs which contribute to the overall utility of projects by more than 70% appear to be the most important benefits in the long term horizon. This is the reason why this benefit emphasized. The outcome of the article has resulted how the particular basic variables contributed to the total robustness of economic efficiency of these project.

Optimal Grid Scheduling Using Improved Artificial Bee Colony Algorithm

OpenAIRE

T. Vigneswari; M. A. Maluk Mohamed

2015-01-01

Job Scheduling plays an important role for efficient utilization of grid resources available across different domains and geographical zones. Scheduling of jobs is challenging and NPcomplete. Evolutionary / Swarm Intelligence algorithms have been extensively used to address the NP problem in grid scheduling. Artificial Bee Colony (ABC) has been proposed for optimization problems based on foraging behaviour of bees. This work proposes a modified ABC algorithm, Cluster Hete...

Scheduling the scheduling task : a time management perspective on scheduling

NARCIS (Netherlands)

Larco Martinelli, J.A.; Wiers, V.C.S.; Fransoo, J.C.

2013-01-01

Time is the most critical resource at the disposal of schedulers. Hence, an adequate management of time from the schedulers may impact positively on the scheduler’s productivity and responsiveness to uncertain scheduling environments. This paper presents a field study of how schedulers make use of

TRENDS IN TAX DEVELOPMENT - EFFICIENCY AND ECONOMIC GROWTH

Directory of Open Access Journals (Sweden)

Tanya Todorova

2017-12-01

Full Text Available The discussion on the role of the state and the amount of public revenue to maintain a balance between economic stability and social justice lasts for decades. The need for active state participation in the economy and the use of public revenue as a fiscal instrument is tangible. Delayed economic growth rates on global, regional and national level are a challenge to budget stability. In this article, the object of research is taxation, the subject - the trends and challenges to its effectiveness. The aim is to clarify whether there is a clear strategy on the marginal and implicit tax rate on the income of the population by comparing Bulgaria and other newly admitted countries in the EU (Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Slovakia, Slovenia and Romania. The main task is to justify the need to build a long-term strategy to increase the efficiency of labor taxation in order to achieve optimal distribution and redistribution of income.

A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters

Directory of Open Access Journals (Sweden)

Weiwei Lin

2016-01-01

Full Text Available Cloud computing provides on-demand computing and storage services with high performance and high scalability. However, the rising energy consumption of cloud data centers has become a prominent problem. In this paper, we first introduce an energy-aware framework for task scheduling in virtual clusters. The framework consists of a task resource requirements prediction module, an energy estimate module, and a scheduler with a task buffer. Secondly, based on this framework, we propose a virtual machine power efficiency-aware greedy scheduling algorithm (VPEGS. As a heuristic algorithm, VPEGS estimates task energy by considering factors including task resource demands, VM power efficiency, and server workload before scheduling tasks in a greedy manner. We simulated a heterogeneous VM cluster and conducted experiment to evaluate the effectiveness of VPEGS. Simulation results show that VPEGS effectively reduced total energy consumption by more than 20% without producing large scheduling overheads. With the similar heuristic ideology, it outperformed Min-Min and RASA with respect to energy saving by about 29% and 28%, respectively.

Multi-agent Pareto appointment exchanging in hospital patient scheduling

NARCIS (Netherlands)

I.B. Vermeulen (Ivan); S.M. Bohte (Sander); D.J.A. Somefun (Koye); J.A. La Poutré (Han)

2007-01-01

htmlabstractWe present a dynamic and distributed approach to the hospital patient scheduling problem, in which patients can have multiple appointments that have to be scheduled to different resources. To efficiently solve this problem we develop a multi-agent Pareto-improvement appointment

Multi-agent Pareto appointment exchanging in hospital patient scheduling

NARCIS (Netherlands)

Vermeulen, I.B.; Bohté, S.M.; Somefun, D.J.A.; Poutré, La J.A.

2007-01-01

We present a dynamic and distributed approach to the hospital patient scheduling problem, in which patients can have multiple appointments that have to be scheduled to different resources. To efficiently solve this problem we develop a multi-agent Pareto-improvement appointment exchanging algorithm:

Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods

Science.gov (United States)

Bürger, Adrian; Sawant, Parantapa; Bohlayer, Markus; Altmann-Dieses, Angelika; Braun, Marco; Diehl, Moritz

2017-10-01

Within this work, the benefits of using predictive control methods for the operation of Adsorption Cooling Machines (ACMs) are shown on a simulation study. Since the internal control decisions of series-manufactured ACMs often cannot be influenced, the work focuses on optimized scheduling of an ACM considering its internal functioning as well as forecasts for load and driving energy occurrence. For illustration, an assumed solar thermal climate system is introduced and a system model suitable for use within gradient-based optimization methods is developed. The results of a system simulation using a conventional scheme for ACM scheduling are compared to the results of a predictive, optimization-based scheduling approach for the same exemplary scenario of load and driving energy occurrence. The benefits of the latter approach are shown and future actions for application of these methods for system control are addressed.

Erratum to "Scheduling of a two-machine flowshop with availability constraints on the first machine" [International Journal of Production Economics 99 (2006)

OpenAIRE

Rapine , Christophe

2013-01-01

International audience; In Allaoui H., Artiba A., Elmaghraby S.E., Riane F. Scheduling of a two-machine flowshop with availability constraints on the first machine. International Journal of Production Economics 99 (2006) two conditions of optimality for the Johnson sequence are given. We establish in this note that these conditions are false, under the resumable and the non-resumable case. We also point out two incorrect proofs and give evidence that the time complexity of their dynamic appro...

Scheduling of multi-class multi-server queueing systems with abandonments

Czech Academy of Sciences Publication Activity Database

Ayesta, U.; Jacko, P.; Novák, Vladimír

2017-01-01

Roč. 20, č. 2 (2017), s. 129-145 ISSN 1094-6136 R&D Projects: GA MŠk(CZ) SVV260475 Institutional support: Progres-Q24 Keywords : stochastic scheduling * abandonment * restless bandits Subject RIV: AH - Economics OBOR OECD: Economic Theory Impact factor: 1.281, year: 2016

Policies and measures for economic efficiency, energy security and environment protection in India

International Nuclear Information System (INIS)

Venkaiah, M.; Kaushik, S.C.; Dewangan, M.L.

2007-01-01

India needs to sustain 8-10% economic growth to meet energy needs of people below poverty line. India would, at least, need to grow its primary energy supply (3-4 times) of present consumption to deliver a sustained growth of 8% by 2031. This paper discusses India's policies and measures for economic efficiency, environment protection and energy security (3-E). (author)

The economical efficiency of private investments in higher education in Russia

Directory of Open Access Journals (Sweden)

Elena Maksyutina

2011-12-01

Full Text Available The article investigates the economical efficiency of investments in higher education in modern conditions of Russia. The beginning of the article includes a characteristic of the existing empiric research concerning the efficiency of investments in human capital assets. Further the author of the article introduces the results of pay off calculation of private investments in higher education. The result of the research was that in modern conditions of Russia investments in higher education are exceedingly advantageous. High norms of higher education feedback and short period of pay off of these investments explain the reasons of continuously growing demand for it on the part of the population, especially young people. The article proves that the level of population education in Russia is quite high, however accumulated human capital asset is used insufficiently effective. Many people with higher education are forced to take jobs not requiring higher education.  Sharp shift in educational behavior of Russian people raises new demands to labor market. Graduates of higher educational institutions, appearing on a labor market, form qualitatively different demands towards it. But tempo of Russian economics development today can not provide job positions for all graduates of higher educational institutions. That is why structural change of economics is needed.

Solving a More Flexible Home Health Care Scheduling and Routing Problem with Joint Patient and Nursing Staff Selection

Directory of Open Access Journals (Sweden)

Jamal Abdul Nasir

2018-01-01

Full Text Available Development of an efficient and effective home health care (HHC service system is a quite recent and challenging task for the HHC firms. This paper aims to develop an HHC service system in the perspective of long-term economic sustainability as well as operational efficiency. A more flexible mixed-integer linear programming (MILP model is formulated by incorporating the dynamic arrival and departure of patients along with the selection of new patients and nursing staff. An integrated model is proposed that jointly addresses: (i patient selection; (ii nurse hiring; (iii nurse to patient assignment; and (iv scheduling and routing decisions in a daily HHC planning problem. The proposed model extends the HHC problem from conventional scheduling and routing issues to demand and capacity management aspects. It enables an HHC firm to solve the daily scheduling and routing problem considering existing patients and nursing staff in combination with the simultaneous selection of new patients and nurses, and optimizing the existing routes by including new patients and nurses. The model considers planning issues related to compatibility, time restrictions, contract durations, idle time and workload balance. Two heuristic methods are proposed to solve the model by exploiting the variable neighborhood search (VNS approach. Results obtained from the heuristic methods are compared with a CPLEX based solution. Numerical experiments performed on different data sets, show the efficiency and effectiveness of the solution methods to handle the considered problem.

Concept of Indoor 3D-Route UAV Scheduling System

DEFF Research Database (Denmark)

Khosiawan, Yohanes; Nielsen, Izabela Ewa; Do, Ngoc Ang Dung

2016-01-01

environment. On top of that, the multi-source productive best-first-search concept also supports efficient real-time scheduling in response to uncertain events. Without human intervention, the proposed work provides an automatic scheduling system for UAV routing problem in 3D indoor environment....

Zagreb regimen, an abbreviated intramuscular schedule for rabies vaccination.

Science.gov (United States)

Ren, Jiangping; Yao, Linong; Sun, Jimin; Gong, Zhenyu

2015-01-01

The Zagreb regimen, an abbreviated intramuscular schedule for rabies vaccination, was developed by I. Vodopija and colleagues of the Zagreb Institute of Public Health in Croatia in the 1980s. It was recommended by WHO as one of the intramuscular (IM) schedules for rabies vaccination in 2010. We reviewed the literature on the immunogenicity, safety, economic burden, and compliance of the Zagreb 2-1-1 regimen. Compared to Essen, another IM schedule recommended by WHO, Zagreb has higher compliance, lower medical cost, and better immunogenicity at an early stage. Copyright © 2015, American Society for Microbiology. All Rights Reserved.

Static Schedulers for Embedded Real-Time Systems

Science.gov (United States)

1989-12-01

Because of the need for having efficient scheduling algorithms in large scale real time systems , software engineers put a lot of effort on developing...provide static schedulers for he Embedded Real Time Systems with single processor using Ada programming language. The independent nonpreemptable...support the Computer Aided Rapid Prototyping for Embedded Real Time Systems so that we determine whether the system, as designed, meets the required

ECONOMIC THEORY OF LOBBYING: EVALUATION OF ECONOMIC EFFICIENCY

Directory of Open Access Journals (Sweden)

Tolstyh Pavel Aleksandrovich

2013-01-01

Full Text Available In this article the author continues to analyze lobbying with regards to economic paradigm. [The author has started discussing lobbying in terms of economic theory in the article Politico-economic theory of lobbying / / Historical, philosophical, political and legal sciences, culture and art. Theory and practice. Tambov: Gramota, 2013. No 1. Part 2. p. 177-189.] Researcher evaluates the cost effectiveness of the lobbying function. Lobbying is understood as activity of specifically authorized employees of corporations and lobbying firms representing their interests, trade associations. This activity is aimed at improving the profitability of integrated and sustainable business development by representing long-term, comfortable, predictable system of relationships with the relevant field-specific political stakeholders of the federal and regional levels. The article presents an in-depth analysis of economic concepts of lobbying function.

EFFICIENCY OF CREDIT PORTFOLIO MANAGEMENT IN CONDITIONS OF ECONOMIC INSTABILITY

Directory of Open Access Journals (Sweden)

Koshel H.

2018-01-01

Full Text Available Introduction. The active development of integration processes causes the necessity of applying high-level approaches to management of the banking system, which is an essential part of the financial sector. Due to the importance of credit operations in the portfolio of banking assets, development of efficient and flexible credit management system is the basis for financial and market stability of banks. Purpose. Analyze the condition of the credit portfolio of banking institutions under the influence of economic processes and make conclusions and recommendations about the effectiveness of managing the bank’s credit portfolio and generalize ways of improving the structure and quality of the bank’s credit portfolio. Results. Over the last six years, the quality of the credit portfolio has become worse because of the bad debts growing and, as a result, decreasing in revenues. The calculated coefficient of management efficiency of a credit portfolio shows the dependence of this indicator on the value of risk and yield. In order to confirm the dependence and determine the degree of influence of these indicators on the efficiency of management of a loan portfolio, an economic-mathematical model was constructed on the example of both individual banks and the banking system as a whole. Detected dependence of factors is quite logical, therefore, the model can be recommended for practical use. Conclusion. Using this method of determining the management efficiency of a credit portfolio will allow the management of the bank to make reasonable decisions. It will allow the possibility of forming a more justified credit portfolio, taking into account not only the profitability, but also the real level of risk of credit operations.

Project Scheduling Heuristics-Based Standard PSO for Task-Resource Assignment in Heterogeneous Grid

Directory of Open Access Journals (Sweden)

Ruey-Maw Chen

2011-01-01

Full Text Available The task scheduling problem has been widely studied for assigning resources to tasks in heterogeneous grid environment. Effective task scheduling is an important issue for the performance of grid computing. Meanwhile, the task scheduling problem is an NP-complete problem. Hence, this investigation introduces a named “standard“ particle swarm optimization (PSO metaheuristic approach to efficiently solve the task scheduling problems in grid. Meanwhile, two promising heuristics based on multimode project scheduling are proposed to help in solving interesting scheduling problems. They are the best performance resource heuristic and the latest finish time heuristic. These two heuristics applied to the PSO scheme are for speeding up the search of the particle and improving the capability of finding a sound schedule. Moreover, both global communication topology and local ring communication topology are also investigated for efficient study of proposed scheme. Simulation results demonstrate that the proposed approach in this investigation can successfully solve the task-resource assignment problems in grid computing and similar scheduling problems.

Using Integer Programming for Airport Service Planning in Staff Scheduling

Directory of Open Access Journals (Sweden)

W.H. Ip

2010-09-01

Full Text Available Reliability and safety in flight is extremely necessary and that depend on the adoption of proper maintenance system. Therefore, it is essential for aircraft maintenance companies to perform the manpower scheduling efficiently. One of the objectives of this paper is to provide an Integer Programming approach to determine the optimal solutions to aircraft maintenance planning and scheduling and hence the planning and scheduling processes can become more efficient and effective. Another objective is to develop a set of computational schedules for maintenance manpower to cover all scheduled flights. In this paper, a sequential methodology consisting of 3 stages is proposed. They are initial maintenance demand schedule, the maintenance pairing and the maintenance group(s assignment. Since scheduling would split up into different stages, different mathematical techniques have been adopted to cater for their own problem characteristics. Microsoft Excel would be used. Results from the first stage and second stage would be inputted into integer programming model using Microsoft Excel Solver to find the optimal solution. Also, Microsoft Excel VBA is used for devising a scheduling system in order to reduce the manual process and provide a user friendly interface. For the results, all can be obtained optimal solution and the computation time is reasonable and acceptable. Besides, the comparison of the peak time and non-peak time is discussed.

Variable Scheduling to Mitigate Channel Losses in Energy-Efficient Body Area Networks

Directory of Open Access Journals (Sweden)

Lavy Libman

2012-11-01

Full Text Available We consider a typical body area network (BAN setting in which sensor nodes send data to a common hub regularly on a TDMA basis, as defined by the emerging IEEE 802.15.6 BAN standard. To reduce transmission losses caused by the highly dynamic nature of the wireless channel around the human body, we explore variable TDMA scheduling techniques that allow the order of transmissions within each TDMA round to be decided on the fly, rather than being fixed in advance. Using a simple Markov model of the wireless links, we devise a number of scheduling algorithms that can be performed by the hub, which aim to maximize the expected number of successful transmissions in a TDMA round, and thereby significantly reduce transmission losses as compared with a static TDMA schedule. Importantly, these algorithms do not require a priori knowledge of the statistical properties of the wireless channels, and the reliability improvement is achieved entirely via shuffling the order of transmissions among devices, and does not involve any additional energy consumption (e.g., retransmissions. We evaluate these algorithms directly on an experimental set of traces obtained from devices strapped to human subjects performing regular daily activities, and confirm that the benefits of the proposed variable scheduling algorithms extend to this practical setup as well.

ECONOMIC THEORY OF LOBBYING: EVALUATION OF ECONOMIC EFFICIENCY

Directory of Open Access Journals (Sweden)

Павел Александрович Толстых

2013-04-01

Full Text Available In this article the author continues to analyze lobbying with regards to economic paradigm. [The author has started discussing lobbying in terms of economic theory in the article Politico-economic theory of lobbying / / Historical, philosophical, political and legal sciences, culture and art. Theory and practice. Tambov: Gramota, 2013. No 1. Part 2. p. 177-189.] Researcher evaluates the cost effectiveness of the lobbying function. Lobbying is understood as activity of specifically authorized employees of corporations and lobbying firms representing their interests, trade associations. This activity is aimed at improving the profitability of integrated and sustainable business development by representing  long-term, comfortable, predictable system of relationships with the relevant field-specific political stakeholders of the federal and regional levels. The article presents an in-depth analysis of economic concepts of lobbying function.DOI: http://dx.doi.org/10.12731/2218-7405-2013-1-3

Scheduling of resource-constrained projects

CERN Document Server

Klein, Robert

2000-01-01

Project management has become a widespread instrument enabling organizations to efficiently master the challenges of steadily shortening product life cycles, global markets and decreasing profit margins. With projects increasing in size and complexity, their planning and control represents one of the most crucial management tasks. This is especially true for scheduling, which is concerned with establishing execution dates for the sub-activities to be performed in order to complete the project. The ability to manage projects where resources must be allocated between concurrent projects or even sub-activities of a single project requires the use of commercial project management software packages. However, the results yielded by the solution procedures included are often rather unsatisfactory. Scheduling of Resource-Constrained Projects develops more efficient procedures, which can easily be integrated into software packages by incorporated programming languages, and thus should be of great interest for practiti...

Standardization and Green Economic Change - the Case of Energy Efficiency in Buildings

DEFF Research Database (Denmark)

Andersen, Maj Munch; Faria, Lourenco

2015-01-01

This paper investigates the role of standardization for green economic change using energy efficiency in buildings as a case. Innovation research on standards tends to focus on the competition between competing emerging standards as well as the economic impacts of these. The idea pursued here...... energy efficiency becomes an issue in standardization work using buildings as a case. The paper seeks more specifically to investigate the rise of building related standards generally over time as well as in different technical areas and geographic regions. The hypothesis pursued in this paper...... is that the rise of the green economy can only take place accompanied by considerable institution formation in the form of standards. In this sense, the presence of standards may be seen as an important indicator on the maturity of the greening of the economy. The paper presents early empirical work...

Knowledge-based scheduling of arrival aircraft

Science.gov (United States)

Krzeczowski, K.; Davis, T.; Erzberger, H.; Lev-Ram, I.; Bergh, C.

1995-01-01

A knowledge-based method for scheduling arrival aircraft in the terminal area has been implemented and tested in real-time simulation. The scheduling system automatically sequences, assigns landing times, and assigns runways to arrival aircraft by utilizing continuous updates of aircraft radar data and controller inputs. The scheduling algorithms is driven by a knowledge base which was obtained in over two thousand hours of controller-in-the-loop real-time simulation. The knowledge base contains a series of hierarchical 'rules' and decision logic that examines both performance criteria, such as delay reduction, as well as workload reduction criteria, such as conflict avoidance. The objective of the algorithms is to devise an efficient plan to land the aircraft in a manner acceptable to the air traffic controllers. This paper will describe the scheduling algorithms, give examples of their use, and present data regarding their potential benefits to the air traffic system.

Design issues of an efficient distributed database scheduler for telecom

NARCIS (Netherlands)

Bodlaender, M.P.; Stok, van der P.D.V.

1998-01-01

We optimize the speed of real-time databases by optimizing the scheduler. The performance of a database is directly linked to the environment it operates in, and we use environment characteristics as guidelines for the optimization. A typical telecom environment is investigated, and characteristics

Improving the ecohydrological and economic efficiency of Small Hydropower Plants with water diversion

Science.gov (United States)

Razurel, Pierre; Gorla, Lorenzo; Tron, Stefania; Niayifar, Amin; Crouzy, Benoît; Perona, Paolo

2018-03-01

Water exploitation for energy production from Small Hydropower Plant (SHP) is increasing despite human pressure on freshwater already being very intense in several countries. Preserving natural rivers thus requires deeper understanding of the global (i.e., ecological and economic) efficiency of flow-diversion practice. In this work, we show that the global efficiency of SHP river intakes can be improved by non-proportional flow-redistribution policies. This innovative dynamic water allocation defines the fraction of water released to the river as a nonlinear function of river runoff. Three swiss SHP case studies are considered to systematically test the global performance of such policies, under both present and future hydroclimatic regimes. The environmental efficiency is plotted versus the economic efficiency showing that efficient solutions align along a (Pareto) frontier, which is entirely formed by non-proportional policies. On the contrary, other commonly used distribution policies generally lie below the Pareto frontier. This confirms the existence of better policies based on non-proportional redistribution, which should be considered in relation to implementation and operational costs. Our results recommend abandoning static (e.g., constant-minimal-flow) policies in favour of non-proportional dynamic ones towards a more sustainable use of the water resource, also considering changing hydroclimatic scenarios.

State policy as a driver of innovation to support economic growth: California energy-efficiency policy (1975-2005)

Science.gov (United States)

Klementich, Eloisa Y.

2011-12-01

Purpose. The purpose of this research was to identify whether a relationship exists between state energy-efficiency policy and innovation in the State of California and to shed light on the impact that energy-efficiency policy can have on supporting statewide economic development goals. Theoretical Framework. The theoretical framework drew from foundations in neoclassical economic theory, technology change theory, and new growth theory. Together these theories formed the basis to describe the impacts caused by the innovations within the market economy. Under this framework, policy-generated innovations are viewed to be translated into efficiency and productivity that propel economic benefits. Methodological Considerations. This study examined various economic indices and efficiency attainment indices affecting four home appliances regulated under Title 20's energy-efficiency standard established by the California Energy Commission, Warren Alquist Act. The multiple regression analysis performed provided an understanding of the relationship between the products regulated, the regulation standard, and the policy as it relates to energy-efficiency regulation. Findings. There is enough evidence to show that strategies embedded in the Warren Alquist Act, Title 20 do drive innovation. Three of the four product categories tested showed statistical significance in the policy standard resulting in an industry efficiency improvement. Conclusively, the consumption of electricity per capita in California has positively diverged over a 35-year period from national trends, even though California had mirrored the nation in income and family size during the same period, the only clear case of divergence is the state's action toward a different energy policy. Conclusions and Recommendations. California's regulations propelled manufacturers to reach higher efficiency levels not otherwise pursued by market forces. The California effort included alliances all working together to make

Scheduling nurses’ shifts at PGI Cikini Hospital

Science.gov (United States)

Nainggolan, J. C. T.; Kusumastuti, R. D.

2018-03-01

Hospitals play an essential role in the community by providing medical services to the public. In order to provide high quality medical services, hospitals must manage their resources (including nurses) effectively and efficiently. Scheduling of nurses’ work shifts, in particular, is crucial, and must be conducted carefully to ensure availability and fairness. This research discusses the job scheduling system for nurses in PGI Cikini Hospital, Jakarta with Goal Programming approach. The research objectives are to identify nurse scheduling criteria and find the best schedule that can meet the criteria. The model has hospital regulations (including government regulations) as hard constraints, and nurses’ preferences as soft constraints. We gather primary data (hospital regulations and nurses’ preferences) through interviews with three Head Nurses and distributing questionnaires to fifty nurses. The results show that on the best schedule, all hard constraints can be satisfied. However, only two out of four soft constraints are satisfied. Compared to current scheduling practice, the resulting schedule ensures the availability of nurses as it satisfies all hospital’s regulations and it has a higher level of fairness as it can accommodate some of the nurses’ preferences.

Group Elevator Peak Scheduling Based on Robust Optimization Model

Directory of Open Access Journals (Sweden)

ZHANG, J.

2013-08-01

Full Text Available Scheduling of Elevator Group Control System (EGCS is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently. RO (Robust Optimization method is a novel and effective way to deal with uncertain scheduling problem. In this paper, a peak scheduling method based on RO model for multi-elevator system is proposed. The method is immune to the uncertainty of peak traffic flows, optimal scheduling is realized without getting exact numbers of each calling floor's waiting passengers. Specifically, energy-saving oriented multi-objective scheduling price is proposed, RO uncertain peak scheduling model is built to minimize the price. Because RO uncertain model could not be solved directly, RO uncertain model is transformed to RO certain model by elevator scheduling robust counterparts. Because solution space of elevator scheduling is enormous, to solve RO certain model in short time, ant colony solving algorithm for elevator scheduling is proposed. Based on the algorithm, optimal scheduling solutions are found quickly, and group elevators are scheduled according to the solutions. Simulation results show the method could improve scheduling performances effectively in peak pattern. Group elevators' efficient operation is realized by the RO scheduling method.

Production System of Peranakan Etawah Goat under Application of Feed Technology: Productivity and Economic Efficiency

Directory of Open Access Journals (Sweden)

Akhmad Sodiq

2009-09-01

Full Text Available Feed resources are the major constraint in increasing goat production in the village. The main constraints to goat raising are related to feeds (i the high cost of transport of crop residues and grass to the homesteads, (ii the low nutritive value of feeds used, particularly in the dry period. This research was design to evaluate goat productivity and economic efficiency of goat farming under application of feed technology production system in Peranakan Etawah goat farmer group of Gumelar Banyumas Central Java. All farmers were taken as respondents using census methods. On farm research with participative focused group discussion, indepth interview, and farm observation. Descriptive analysis and independent t test methods were used to analyze the data. Results of this study showed that there was a significant improvement goat productivity on production system with the application of feed technology. Body weight at weaning, survival rate till weaning, and doe productivity were increased 7%, 2% and 5%, respectively. There was no evidence of significant different of farmers income and economic efficiency before and after the applied feed technology (P>0.05. The calculation was based on cash flow. Before application, farmers income per year and economic efficiency were Rp14.404.520,00 and 1.21, then insignificantly improve into Rp16.487.100,00 and 1.27, respectively. (Animal Production 11(3: 202-208 (2009 Key Words: Livestock production system, Peranakan Etawah goat, feed technology aplication, productivity and economic efficiency

On the complex analysis of the reliability, safety, and economic efficiency of atomic electric power stations

International Nuclear Information System (INIS)

Emel'yanov, I.Ya.; Klemin, A.I.; Polyakov, E.F.

1977-01-01

The problem is posed of effectively increasing the engineering performance of nuclear electric power stations (APS). The principal components of the engineering performance of modern large APS are considered: economic efficiency, radiation safety, reliability, and their interrelationship. A nomenclature is proposed for the quantitative indices which most completely characterize the enumerated properties and are convenient for the analysis of the engineering performance. The urgent problem of developing a methodology for the complex analysis and optimization of the principal performance components is considered; this methodology is designed to increase the efficiency of the work on high-performance competitive APS. The principle of complex optimization of the reliability, safety, and economic-efficiency indices is formulated; specific recommendations are made for the practical realization of this principle. The structure of the complex quantiative analysis of the enumerated performance components is given. The urgency and promise of the complex approach to solving the problem of APS optimization is demonstrated, i.e., the solution of the problem of creating optimally reliable, fairly safe, and maximally economically efficient stations

Scheduled Collision Avoidance in wireless sensor network using Zigbee

DEFF Research Database (Denmark)

Dnyaneshwar, Mantri; Prasad, Neeli R.; Prasad, Ramjee

2014-01-01

Transmission reliability and energy consumptions are two critical concerns associated with wireless sensor network (WSN) design for a long time and continuous operation. With the increase in reliability of the transmission, the energy consumption increases by affecting the efficiency of the network....... This paper proposes the Schedule based Collision Avoidance (SCA) algorithm for finding the tradeoff between reliability and energy efficiency by fusion of CSMA/CA and TDMA techniques in Zigbee/ IEEE802.15.4. It uses the multi-path data propagation for collision avoidance and effective utilization...... of the channel providing efficient energy consumption. It analyses different scheduling schemes to provide an appropriate solution for reducing collisions and improving network lifetime....

Algorithms for Scheduling and Network Problems

Science.gov (United States)

1991-09-01

time. We already know, by Lemma 2.2.1, that WOPT = O(log( mpU )), so if we could solve this integer program optimally we would be done. However, the...Folydirat, 15:177-191, 1982. [6] I.S. Belov and Ya. N. Stolin. An algorithm in a single path operations scheduling problem. In Mathematical Economics and

Metaheuristic Approaches for Hydropower System Scheduling

Directory of Open Access Journals (Sweden)

Ieda G. Hidalgo

2015-01-01

Full Text Available This paper deals with the short-term scheduling problem of hydropower systems. The objective is to meet the daily energy demand in an economic and safe way. The individuality of the generating units and the nonlinearity of their efficiency curves are taken into account. The mathematical model is formulated as a dynamic, mixed integer, nonlinear, nonconvex, combinatorial, and multiobjective optimization problem. We propose two solution methods using metaheuristic approaches. They combine Genetic Algorithm with Strength Pareto Evolutionary Algorithm and Ant Colony Optimization. Both approaches are divided into two phases. In the first one, to maximize the plant’s net generation, the problem is solved for each hour of the day (static dispatch. In the second phase, to minimize the units’ switching on-off, the day is considered as a whole (dynamic dispatch. The proposed methodology is applied to two Brazilian hydroelectric plants, in cascade, that belong to the national interconnected system. The nondominated solutions from both approaches are presented. All of them meet demand respecting the physical, electrical, and hydraulic constraints.

Reviewing the economic efficiency of disaster risk management

Science.gov (United States)

Mechler, Reinhard

2013-04-01

There is a lot of rhetoric suggesting that disaster risk management (DRM) pays, yet surprisingly little in the way of hard facts. Cost-benefit analysis (CBA) is one major tool that can provide quantitative information about the prioritization of disaster risk management (DRM) (and climate adaptation) based on economic principles. Yet, on a global scale, there has been surprisingly little robust evidence on the economic efficiency and benefits of risk management measures. This review shows that for the limited evidence reported the economic case for DRM across a range of hazards is strong and that the benefits of investing in DRM outweigh the costs of doing so, on average, by about four times the cost in terms of avoided and reduced losses. Most studies using a CBA approach focus on structural DRM and most information has been made available on physical flood prevention. There have been some limited studies on preparedness and risk financing. The global evidence base is limited and estimates appear not very solid, and overall, in line with the conclusion of the recent IPCC SREX report, there is limited evidence and medium agreement across the literature. Some of the factors behind the limited robustness are inherent to CBA more widely: these challenges comprise the inability to price intangibles, evaluating strategies rather than single projects, difficulties in assessing softer rather than infrastructure-related options, choices regarding a proper discount rate, lack of accounting for the distribution of benefits and costs and difficulties with assessing nonmarket values such as those related to health, the environment, or public goods. Although techniques exist to address some of these challenges, they are not very likely to easily go away. Other challenges associated specifically with DRM, such as the need and difficulty to undertake risk -based analysis can be overcome, and there have been manuals and reports providing a way forward. In an age of austerity, cost

Comparison of Strategies for Signaling of Scheduling Assignments in Wireless OFDMA

OpenAIRE

Moosavi, Reza; Eriksson, Jonas; Larsson, Erik G.; Wiberg, Niclas; Frenger, Pål; Gunnarsson, Fredrik

2010-01-01

This paper considers transmission of scheduling information in  OFDMA-based cellular communication systems such as 3GPP long-term  evolution (LTE). These systems provide efficient usage of radio  resources by allowing users to be scheduled dynamically in both  frequency and time. This requires considerable amounts of scheduling  information to be sent to the users.  The paper compares two basic transmission strategies: transmitting a  separate scheduling message to each user versus broadcasti...

An improved charging/discharging strategy of lithium batteries considering depreciation cost in day-ahead microgrid scheduling

International Nuclear Information System (INIS)

Zhang, Zhong; Wang, Jianxue; Wang, Xiuli

2015-01-01

Highlights: • A quantitative depreciation cost model is put forward for lithium batteries. • A practical charging/discharging strategy is applied to battery management. • The depth of discharge of the battery storage is scheduled more rationally. • The proposed strategy improves the cost efficiency of lithium batteries in MGs. - Abstract: An energy storage system is critical for the safe and stable operation of a microgrid (MG) and has a promising prospect in future power system. Economical and safe operation of storage system is of great significance to MGs. This paper presents an improved management strategy for lithium battery storage by establishing a battery depreciation cost model and employing a practical charging/discharging strategy. Firstly, experimental data of lithium battery cycle lives, which are functions of the depth of discharge, are investigated and synthesized. A quantitative depreciation cost model is put forward for lithium batteries from the perspective of cycle life. Secondly, a practical charging/discharging strategy is applied to the lithium battery management in MGs. Then, an optimal scheduling model is developed to minimize MG operational cost including battery depreciation cost. Finally, numerical tests are conducted on a typical grid-connected MG. Results show that the depth of discharge of storage is scheduled more rationally, and operational cost is simultaneously saved for MG under the proposed management strategy. This study helps to improve the cost efficiency and alleviate the aging process for lithium batteries.

Economic effects of energy efficiency improvements in the Finnish building stock

International Nuclear Information System (INIS)

Tuominen, Pekka; Forsström, Juha; Honkatukia, Juha

2013-01-01

This study estimates the economic effects of investing in energy efficiency in buildings on a national level. First conservation potentials in space heating for two different scenarios with different levels of investment in energy efficiency are quantified. This was done relying on statistical data and future projections of the development of the building stock. Then economic modeling was used to estimate the effects on energy sector and the economy at large. The results show that a rather modest increase resulting in a few percent rise in annual construction and renovation investments can decrease total primary energy consumption 3.8–5.3% by 2020 and 4.7–6.8% by 2050 compared to a baseline scenario. On the short term a slight decrease in the level of GDP and employment is expected. On the medium to long term, however, the effects on both would be positive. Furthermore, a significant drop in harmful emissions and hence external costs is anticipated. Overall, a clear net benefit is expected from improving energy efficiency. - Highlights: ► The possible cut in energy consumption: 3.8–5.3% by 2020 and 4.7–6.8% by 2050. ► Short term negative effects to GDP and long term positive effects are expected. ► A significant drop in harmful emissions and hence external costs is anticipated.

RESEARCHES CONCERNING THE ECONOMIC EFFICIENCY ACHIEVED SUCCESSIVE TO THE APPLICATION OF BIOLOGICALLY-ACTIVE PRODUCTS IN SMOOTH BROME CROP

Directory of Open Access Journals (Sweden)

ELENA PEł

2008-05-01

Full Text Available Within any branch of material production, the supervision of the economic effects caused by the applied technologies is an essential requirement. Not only related to the productive activity, but also related to scientific research, designing and other fields of activity, the final goal is represented by the achievement of immediate or far off economic effects. The introduction and generalization into production of the newest technologies of forage production must rely upon calculations of economic efficiency, too. The objective of these calculations is to offer to any producer the possibility to choose among the optimal technologic variants, with great productions per surface unit, of high quality and low costs. The calculations of economic efficiency were carried out during the three years of experimentation. The economic efficiency obtained after the application of biostimulants in smooth brome during the first year of production is expressed through the achievement of a profit per surface unit of 75.85 – 127.00 €/ha. Successive to the calculations of economic efficiency, during the second year of production, the profit per surface unit recorded values between 79.10 – 153.10 €/ha depending upon the applied biostimulant, and during the third year of production the profit obtained per surface unit was 211.05 – 270.70 €/ha.

Manufacturing Scheduling Using Colored Petri Nets and Reinforcement Learning

Directory of Open Access Journals (Sweden)

Maria Drakaki

2017-02-01

Full Text Available Agent-based intelligent manufacturing control systems are capable to efficiently respond and adapt to environmental changes. Manufacturing system adaptation and evolution can be addressed with learning mechanisms that increase the intelligence of agents. In this paper a manufacturing scheduling method is presented based on Timed Colored Petri Nets (CTPNs and reinforcement learning (RL. CTPNs model the manufacturing system and implement the scheduling. In the search for an optimal solution a scheduling agent uses RL and in particular the Q-learning algorithm. A warehouse order-picking scheduling is presented as a case study to illustrate the method. The proposed scheduling method is compared to existing methods. Simulation and state space results are used to evaluate performance and identify system properties.

Scheduling home appliances for energy efficient buildings

DEFF Research Database (Denmark)

Rossello Busquet, Ana; Kardaras, Georgios; Iversen, Villy Bæk

2010-01-01

The number of appliances found in users’ homes is increasing together with electricity consumption of users’ residences. In addition, there is a tendency to consume during the same period leading to demand peaks. During these periods, electricity providers are forced to develop costly methods...... to generate enough power to meet consumers’ requirements. In addition, high demand peaks can lead to electricity shortages or even blackouts in certain areas. In order to avoid demand peaks, users’ appliances should consume electricity in a more distributed way. A new methodology to schedule the usage of home...... appliances is proposed and analyzed. The main concept behind this approach is the aggregation of home appliances into priority classes and the definition of a maximum power consumption threshold, which is not allowed to be exceeded during peak hours. The scenario simulated describes a modern household, where...

A Two-Level Task Scheduler on Multiple DSP System for OpenCL

Directory of Open Access Journals (Sweden)

Li Tian

2014-04-01

Full Text Available This paper addresses the problem that multiple DSP system does not support OpenCL programming. With the compiler, runtime, and the kernel scheduler proposed, an OpenCL application becomes portable not only between multiple CPU and GPU, but also between embedded multiple DSP systems. Firstly, the LLVM compiler was imported for source-to-source translation in which the translated source was supported by CCS. Secondly, two-level schedulers were proposed to support efficient OpenCL kernel execution. The DSP/BIOS is used to schedule system level tasks such as interrupts and drivers; however, the synchronization mechanism resulted in heavy overhead during task switching. So we designed an efficient second level scheduler especially for OpenCL kernel work-item scheduling. The context switch process utilizes the 8 functional units and cross path links which was superior to DSP/BIOS in the aspect of task switching. Finally, dynamic loading and software managed CACHE were redesigned for OpenCL running on multiple DSP system. We evaluated the performance using some common OpenCL kernels from NVIDIA, AMD, NAS, and Parboil benchmarks. Experimental results show that the DSP OpenCL can efficiently exploit the computing resource of multiple cores.

Uplink Packet-Data Scheduling in DS-CDMA Systems

Science.gov (United States)

Choi, Young Woo; Kim, Seong-Lyun

In this letter, we consider the uplink packet scheduling for non-real-time data users in a DS-CDMA system. As an effort to jointly optimize throughput and fairness, we formulate a time-span minimization problem incorporating the time-multiplexing of different simultaneous transmission schemes. Based on simple rules, we propose efficient scheduling algorithms and compare them with the optimal solution obtained by linear programming.

Essays in economics of energy efficiency in residential buildings - An empirical analysis[Dissertation 17157

Energy Technology Data Exchange (ETDEWEB)

Jakob, M.

2007-07-01

Energy efficiency in the building sector is a key element of cost-effective climate change and energy policies in most countries throughout the world. (...) However, a gap between the cost-effectiveness of energy efficiency measures, their benefits, the necessities from a societal point of view on the one hand and the actual investments in the building stock - particularly in the moment of re-investment and refurbishing - on the other hand became more and more evident. The research questions that arose against this background were whether this gap and the low energy efficiency levels and rates could be confirmed empirically and if yes, how the gap could be explained and how it could be overcome by adequate policy measures. To address these questions, the multi-functional character of buildings (i.e. well conditioned and quiet living rooms and working space) had to be considered. Associated benefits arise on the societal level (ancillary benefits) and on the private level (co-benefits), the latter being increasingly addressed by different building labels such as 'Minergie', 'Passive House', and others. It was assumed that these co-benefits are of economic relevance, but empirical evidence regarding their economic value was missing. Thus, putting these benefits into an appropriate economic appraisal framework was at stake to make use of them in market information and policy instruments, preventing uninformed and biased cost benefit analyses and decisions on the private and on the societal level. The research presented in this PhD thesis had the goal to provide a sound empirical basis about costs and benefits of energy efficiency investments in residential buildings, with a special emphasis on the economic valuation of their co-benefits from a building user perspective (owner-occupiers, purchasers and tenants). In view of long time-horizons in the building sector, the techno-economic dynamics should also be addressed. The results should be useful

Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm

Directory of Open Access Journals (Sweden)

Lvjiang Yin

2016-12-01

Full Text Available Nowadays, manufacturing enterprises face the challenge of just-in-time (JIT production and energy saving. Therefore, study of JIT production and energy consumption is necessary and important in manufacturing sectors. Moreover, energy saving can be attained by the operational method and turn off/on idle machine method, which also increases the complexity of problem solving. Thus, most researchers still focus on small scale problems with one objective: a single machine environment. However, the scheduling problem is a multi-objective optimization problem in real applications. In this paper, a single machine scheduling model with controllable processing and sequence dependence setup times is developed for minimizing the total earliness/tardiness (E/T, cost, and energy consumption simultaneously. An effective multi-objective evolutionary algorithm called local multi-objective evolutionary algorithm (LMOEA is presented to tackle this multi-objective scheduling problem. To accommodate the characteristic of the problem, a new solution representation is proposed, which can convert discrete combinational problems into continuous problems. Additionally, a multiple local search strategy with self-adaptive mechanism is introduced into the proposed algorithm to enhance the exploitation ability. The performance of the proposed algorithm is evaluated by instances with comparison to other multi-objective meta-heuristics such as Nondominated Sorting Genetic Algorithm II (NSGA-II, Strength Pareto Evolutionary Algorithm 2 (SPEA2, Multiobjective Particle Swarm Optimization (OMOPSO, and Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D. Experimental results demonstrate that the proposed LMOEA algorithm outperforms its counterparts for this kind of scheduling problems.

A new distributed systems scheduling algorithm: a swarm intelligence approach

Science.gov (United States)

Haghi Kashani, Mostafa; Sarvizadeh, Raheleh; Jameii, Mahdi

2011-12-01

The scheduling problem in distributed systems is known as an NP-complete problem, and methods based on heuristic or metaheuristic search have been proposed to obtain optimal and suboptimal solutions. The task scheduling is a key factor for distributed systems to gain better performance. In this paper, an efficient method based on memetic algorithm is developed to solve the problem of distributed systems scheduling. With regard to load balancing efficiently, Artificial Bee Colony (ABC) has been applied as local search in the proposed memetic algorithm. The proposed method has been compared to existing memetic-Based approach in which Learning Automata method has been used as local search. The results demonstrated that the proposed method outperform the above mentioned method in terms of communication cost.

Algorithms for classical and modern scheduling problems

OpenAIRE

Ott, Sebastian

2016-01-01

Subject of this thesis is the design and the analysis of algorithms for scheduling problems. In the first part, we focus on energy-efficient scheduling, where one seeks to minimize the energy needed for processing certain jobs via dynamic adjustments of the processing speed (speed scaling). We consider variations and extensions of the standard model introduced by Yao, Demers, and Shenker in 1995 [79], including the addition of a sleep state, the avoidance of preemption, and variable speed lim...

Spike: Artificial intelligence scheduling for Hubble space telescope

Science.gov (United States)

Johnston, Mark; Miller, Glenn; Sponsler, Jeff; Vick, Shon; Jackson, Robert

1990-01-01

Efficient utilization of spacecraft resources is essential, but the accompanying scheduling problems are often computationally intractable and are difficult to approximate because of the presence of numerous interacting constraints. Artificial intelligence techniques were applied to the scheduling of the NASA/ESA Hubble Space Telescope (HST). This presents a particularly challenging problem since a yearlong observing program can contain some tens of thousands of exposures which are subject to a large number of scientific, operational, spacecraft, and environmental constraints. New techniques were developed for machine reasoning about scheduling constraints and goals, especially in cases where uncertainty is an important scheduling consideration and where resolving conflicts among conflicting preferences is essential. These technique were utilized in a set of workstation based scheduling tools (Spike) for HST. Graphical displays of activities, constraints, and schedules are an important feature of the system. High level scheduling strategies using both rule based and neural network approaches were developed. While the specific constraints implemented are those most relevant to HST, the framework developed is far more general and could easily handle other kinds of scheduling problems. The concept and implementation of the Spike system are described along with some experiments in adapting Spike to other spacecraft scheduling domains.

ERWIN2: User's manual for a computer model to calculate the economic efficiency of wind energy systems

International Nuclear Information System (INIS)

Van Wees, F.G.H.

1992-01-01

During the last few years the Business Unit ESC-Energy Studies of the Netherlands Energy Research Foundation (ECN) developed calculation programs to determine the economic efficiency of energy technologies, which programs support several studies for the Dutch Ministry of Economic Affairs. All these programs form the so-called BRET programs. One of these programs is ERWIN (Economische Rentabiliteit WINdenergiesystemen or in English: Economic Efficiency of Wind Energy Systems) of which an updated manual (ERWIN2) is presented in this report. An outline is given of the possibilities and limitations to carry out calculations with the model

EVALUATION OF ECOLOGICAL AND ECONOMIC EFFICIENCY OF STEEL-MAKING SLAG IN ROAD CONSTRUCTION

Directory of Open Access Journals (Sweden)

A. K. Коstenkо

2008-01-01

Full Text Available The paper provides an estimation of ecological and economic efficiency of utilization of the electric steel-melting slag of the Belarussian Steel Works in the road construction. The obtained results  give us a reason to consider that involvement of this type of industrial waste into economic turnover is an economically expedient and ecologically justified measure that will allow road-construction enterprises to reduce the cost of installation and construction works and enlarge their resource potential as well as to help the producer of wastes to release funds for innovation development and solve the problem of waste accumulation in the near future.

Optimal Scheduling of Domestic Appliances via MILP

Directory of Open Access Journals (Sweden)

Zdenek Bradac

2014-12-01

Full Text Available This paper analyzes a consumption scheduling mechanism for domestic appliances within a home area network. The aim of the proposed scheduling is to minimize the total energy price paid by the consumer and to reduce power peaks in order to achieve a balanced daily load schedule. An exact and computationally efficient mixed-integer linear programming (MILP formulation of the problem is presented. This model is verified by several problem instances. Realistic scenarios based on the real price tariffs commercially available in the Czech Republic are calculated. The results obtained by solving the optimization problem are compared with a simulation of the ripple control service currently used by many domestic consumers in the Czech Republic.

MEDICAL STAFF SCHEDULING USING SIMULATED ANNEALING

Directory of Open Access Journals (Sweden)

Ladislav Rosocha

2015-07-01

Full Text Available Purpose: The efficiency of medical staff is a fundamental feature of healthcare facilities quality. Therefore the better implementation of their preferences into the scheduling problem might not only rise the work-life balance of doctors and nurses, but also may result into better patient care. This paper focuses on optimization of medical staff preferences considering the scheduling problem.Methodology/Approach: We propose a medical staff scheduling algorithm based on simulated annealing, a well-known method from statistical thermodynamics. We define hard constraints, which are linked to legal and working regulations, and minimize the violations of soft constraints, which are related to the quality of work, psychic, and work-life balance of staff.Findings: On a sample of 60 physicians and nurses from gynecology department we generated monthly schedules and optimized their preferences in terms of soft constraints. Our results indicate that the final value of objective function optimized by proposed algorithm is more than 18-times better in violations of soft constraints than initially generated random schedule that satisfied hard constraints.Research Limitation/implication: Even though the global optimality of final outcome is not guaranteed, desirable solutionwas obtained in reasonable time. Originality/Value of paper: We show that designed algorithm is able to successfully generate schedules regarding hard and soft constraints. Moreover, presented method is significantly faster than standard schedule generation and is able to effectively reschedule due to the local neighborhood search characteristics of simulated annealing.

Implementation of energy efficiency standards of household refrigerator/freezer in China: Potential environmental and economic impacts

International Nuclear Information System (INIS)

Tao, Jing; Yu, Suiran

2011-01-01

Due to the rapid economic development, living standards in China are improving fast. Chinese families are having more household electrical appliances, among which refrigerators are indispensable. Energy consumption of refrigerators is huge in China and causes environmental concerns. China has issued the national energy efficiency standards of household refrigerators, GB12021.2-2003 and GB12021.2-2008 to promote high-efficiency refrigerator production and use. This study evaluated the impacts of the standards on the environment, manufacturers and consumers over a long-term period of 2003-2023. It first evaluated the potential electricity conservation and GHG emission reduction resulting from energy efficiency improvements driven by the standards. Next, manufacturers' technological and economic concerns about complying with the standards were discussed. Some efficiency improving design options were considered and the resulting increases in manufacturing cost and retail price were estimated. The return of consumers from invest in efficiency was analyzed based on lifecycle cost saving of the improved models. The economical viability of the standards was then evaluated by national consumer costs and benefits. Results showed that the considered efficiency standards will potentially save a cumulative total of 588-1180 TWh electricity, and reduce emission of 629-1260 million tons of CO 2 , 4.00-8.04 million tons of SO x and 2.37-4.76 million tons of NO x by 2023, depending on sale share of models by efficiency. In a more environmentally optimal case (75% sale share of high-efficiency models), the national consumer benefits are 121 billion RMB (discounted), with the benefit/cost ratio of consumer's expenditure being 1.45:1. However, the preference to high-efficiency models is substantial influenced by consumer's expectation on return from the additional cost on efficiency.

Multiprocessor Global Scheduling on Frame-Based DVFS Systems

OpenAIRE

Berten, Vandy; Goossens, Joël

2008-01-01

International audience; In this work, we are interested in multiprocessor energy efficient systems where task durations are not known in advance but are known stochastically. More precisely we consider global scheduling algorithms for frame-based multiprocessor stochastic DVFS (Dynamic Voltage and Frequency Scaling) systems. Moreover we consider processors with a discrete set of available frequencies. We provide a global scheduling algorithm, and formally show that no deadline will ever be mi...

How to measure the economic impacts of changes in growth, feed efficiency and survival in aquaculture

NARCIS (Netherlands)

Kankainen, M.; Setala, J.; Berrill, I.K.; Ruohonen, K.; Noble, C.; Schneider, O.

2012-01-01

In this article we introduce a variety of bio-economic models that can be used to calculate the economic benefits associated with improved productivity in aquaculture. In the aquaculture industry, three important biological productivity factors are growth, survival and feed efficiency. The

Designing of Vague Logic Based 2-Layered Framework for CPU Scheduler

Directory of Open Access Journals (Sweden)

Supriya Raheja

2016-01-01

Full Text Available Fuzzy based CPU scheduler has become of great interest by operating system because of its ability to handle imprecise information associated with task. This paper introduces an extension to the fuzzy based round robin scheduler to a Vague Logic Based Round Robin (VBRR scheduler. VBRR scheduler works on 2-layered framework. At the first layer, scheduler has a vague inference system which has the ability to handle the impreciseness of task using vague logic. At the second layer, Vague Logic Based Round Robin (VBRR scheduling algorithm works to schedule the tasks. VBRR scheduler has the learning capability based on which scheduler adapts intelligently an optimum length for time quantum. An optimum time quantum reduces the overhead on scheduler by reducing the unnecessary context switches which lead to improve the overall performance of system. The work is simulated using MATLAB and compared with the conventional round robin scheduler and the other two fuzzy based approaches to CPU scheduler. Given simulation analysis and results prove the effectiveness and efficiency of VBRR scheduler.

Research and Applications of Shop Scheduling Based on Genetic Algorithms

Directory of Open Access Journals (Sweden)

Hang ZHAO

Full Text Available ABSTRACT Shop Scheduling is an important factor affecting the efficiency of production, efficient scheduling method and a research and application for optimization technology play an important role for manufacturing enterprises to improve production efficiency, reduce production costs and many other aspects. Existing studies have shown that improved genetic algorithm has solved the limitations that existed in the genetic algorithm, the objective function is able to meet customers' needs for shop scheduling, and the future research should focus on the combination of genetic algorithm with other optimized algorithms. In this paper, in order to overcome the shortcomings of early convergence of genetic algorithm and resolve local minimization problem in search process,aiming at mixed flow shop scheduling problem, an improved cyclic search genetic algorithm is put forward, and chromosome coding method and corresponding operation are given.The operation has the nature of inheriting the optimal individual ofthe previous generation and is able to avoid the emergence of local minimum, and cyclic and crossover operation and mutation operation can enhance the diversity of the population and then quickly get the optimal individual, and the effectiveness of the algorithm is validated. Experimental results show that the improved algorithm can well avoid the emergency of local minimum and is rapid in convergence.

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs

Directory of Open Access Journals (Sweden)

Mohd Usama

2017-11-01

Full Text Available At present, big data is very popular, because it has proved to be much successful in many fields such as social media, E-commerce transactions, etc. Big data describes the tools and technologies needed to capture, manage, store, distribute, and analyze petabyte or larger-sized datasets having different structures with high speed. Big data can be structured, unstructured, or semi structured. Hadoop is an open source framework that is used to process large amounts of data in an inexpensive and efficient way, and job scheduling is a key factor for achieving high performance in big data processing. This paper gives an overview of big data and highlights the problems and challenges in big data. It then highlights Hadoop Distributed File System (HDFS, Hadoop MapReduce, and various parameters that affect the performance of job scheduling algorithms in big data such as Job Tracker, Task Tracker, Name Node, Data Node, etc. The primary purpose of this paper is to present a comparative study of job scheduling algorithms along with their experimental results in Hadoop environment. In addition, this paper describes the advantages, disadvantages, features, and drawbacks of various Hadoop job schedulers such as FIFO, Fair, capacity, Deadline Constraints, Delay, LATE, Resource Aware, etc, and provides a comparative study among these schedulers.

Energy-efficient approach to minimizing the energy consumption in an extended job-shop scheduling problem

Science.gov (United States)

Tang, Dunbing; Dai, Min

2015-09-01

The traditional production planning and scheduling problems consider performance indicators like time, cost and quality as optimization objectives in manufacturing processes. However, environmentally-friendly factors like energy consumption of production have not been completely taken into consideration. Against this background, this paper addresses an approach to modify a given schedule generated by a production planning and scheduling system in a job shop floor, where machine tools can work at different cutting speeds. It can adjust the cutting speeds of the operations while keeping the original assignment and processing sequence of operations of each job fixed in order to obtain energy savings. First, the proposed approach, based on a mixed integer programming mathematical model, changes the total idle time of the given schedule to minimize energy consumption in the job shop floor while accepting the optimal solution of the scheduling objective, makespan. Then, a genetic-simulated annealing algorithm is used to explore the optimal solution due to the fact that the problem is strongly NP-hard. Finally, the effectiveness of the approach is performed smalland large-size instances, respectively. The experimental results show that the approach can save 5%-10% of the average energy consumption while accepting the optimal solution of the makespan in small-size instances. In addition, the average maximum energy saving ratio can reach to 13%. And it can save approximately 1%-4% of the average energy consumption and approximately 2.4% of the average maximum energy while accepting the near-optimal solution of the makespan in large-size instances. The proposed research provides an interesting point to explore an energy-aware schedule optimization for a traditional production planning and scheduling problem.

Sustainable Sport Scheduling Approach Considering Team Equity for the Korean Professional Baseball League

Directory of Open Access Journals (Sweden)

Young Dae Ko

2018-02-01

Full Text Available Since the Korea Baseball League (KBL had nine teams, an odd number, in the 2013 season, one team was unable to compete at certain times in the rotation while the other eight teams played games. Therefore, it was necessary to consider several elements to generate an annual match schedule in terms of team equity. However, the annual match schedule created by the conventional method could not fully reflect the elements regarding team equity, and there were a great many complaints from teams and fans. As a result, applying an optimization technique was decided upon to derive an efficient annual match schedule for the 2014 season. All the required conditions for scheduling are formulated as one or more equations and several parameter values concerning team equity are calculated with the related equations. Due to the complicated scheduling conditions, a sequential solution approach is applied by dividing the overall planning horizon in three parts. The derived annual match schedule was used for the 2014 season after some modifications, and the staff of the KBL was satisfied with the performance of the proposed scheduling methodology. Currently, this sustainable scheduling methodology is still in use to generate an efficient annual match schedule for the KBL.

Schedulability analysis for systems with data and control dependencies

DEFF Research Database (Denmark)

Pop, Paul; Eles, Petru; Peng, Zebo

2000-01-01

Is this paper we present an approach to schedulability analysis for hard real-time systems with control and data dependencies. We consider distributed architectures consisting of multiple programmable processors, and the scheduling policy is based on a static priority preemptive strategy! Our model...... of the system captures bath data and control dependencies, and the schedulability approach is able to reduce the pessimism of the analysis by using the knowledge about control ann data dependencies. Extensive experiments as well as a real life example demonstrate the efficiency of our approach....

Emission Trading and the Kyoto protocol: Are they efficient economic instruments?

International Nuclear Information System (INIS)

Ibanez Londono, Ana Maria

1998-02-01

The Kyoto Protocol establishes a tradeable permits market for green house gases -GHG- emissions to reduce the costs of meeting the Protocol obligations. Economic theory provides the arguments to support the creation of GHG tradeable permits. Several economic researches have shown that vis-a-vis command and control regulations, tradeable permits induce economic agents to achieve environmental goals at a minimum cost. However, the conditions to minimize costs through tradeable permits are stringent. Tradeable permits require well functioning markets, e.g. perfect competition and perfect information. The tradeable permits market created by the Kyoto Protocol hardly meet these necessary conditions. Some countries like Japan, Great Britain and the United Stated are large emitters and thus may exert market power. Price manipulation may have implications over the static and dynamic efficiency of the permits. This paper takes a first look to the consequences of imperfect markets on the tradeable permit system of the Kyoto Protocol

Efficient STEP (solar thermal electrochemical photo) production of hydrogen - an economic assessment

Energy Technology Data Exchange (ETDEWEB)

Licht, Stuart [Department of Chemistry, George Washington University, Ashburn, VA 20147 (United States); Solar Institute, George Washington University, Washington, DC 20052 (United States); Chitayat, Olivia; Bergmann, Harry; Dick, Andrew; Ayub, Hina [Solar Institute, George Washington University, Washington, DC 20052 (United States); Ghosh, Susanta [Department of Chemistry, George Washington University, Ashburn, VA 20147 (United States); Department of Chemistry, Visva-Bharati, Santiniketan (India)

2010-10-15

A consideration of the economic viability of hydrogen fuel production is important in the STEP (Solar Thermal Electrochemical Photo) production of hydrogen fuel. STEP is an innovative way to decrease costs and increase the efficiency of hydrogen fuel production, which is a synergistic process that can use concentrating photovoltaics (CPV) and solar thermal energy to drive a high temperature, low voltage, electrolysis (water-splitting), resulting in H{sub 2} at decreased energy and higher solar efficiency. This study provides evidence that the STEP system is an economically viable solution for the production of hydrogen. STEP occurs at both higher electrolysis and solar conversion efficiencies than conventional room temperature photovoltaic (PV) generation of hydrogen. This paper probes the economic viability of this process, by comparing four different systems: (1) 10% or (2) 14% flat plate PV driven aqueous alkaline electrolysis H{sub 2} production, (3) 25% CPV driven molten electrolysis H{sub 2} production, and (4) 35% CPV driven solid oxide electrolysis H{sub 2} production. The molten and solid oxide electrolysers are high temperature systems that can make use of light, normally discarded, for heating. This significantly increases system efficiency. Using levelized cost analysis, this study shows significant cost reduction using the STEP system. The total price per kg of hydrogen is shown to decrease from 5.74 to 4.96 to 3.01 to 2.61 with the four alternative systems. The advanced STEP plant requires less than one seventh of the land area of the 10% flat cell plant. To generate the 216 million kg H{sub 2}/year required by 1 million fuel cell vehicles, the 35% CPV driven solid oxide electrolysis requires a plant only 9.6 mi{sup 2} in area. While PV and electrolysis components dominate the cost of conventional PV generated hydrogen, they do not dominate the cost of the STEP-generated hydrogen. The lower cost of STEP hydrogen is driven by residual distribution and

Economic comparison of clean coal generating technologies with natural gas-combined cycle systems

International Nuclear Information System (INIS)

Sebesta, J.J.; Hoskins, W.W.

1990-01-01

This paper reports that there are four combustion technologies upon which U.S. electric utilities are expected to rely for the majority of their future power generating needs. These technologies are pulverized coal- fired combustion (PC); coal-fired fluidized bed combustion (AFBC); coal gasification, combined cycle systems (CGCC); and natural gas-fired combined cycle systems (NGCC). The engineering and economic parameters which affect the choice of a technology include capital costs, operating and maintenance costs, fuel costs, construction schedule, process risk, environmental and site impacts, fuel efficiency and flexibility, plant availability, capacity factors, timing of startup, and the importance of utility economic and financial factors

Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks

Directory of Open Access Journals (Sweden)

Chih-Yu Wen

2009-05-01

Full Text Available This paper presents two scheduling management schemes for wireless sensor networks, which manage the sensors by utilizing the hierarchical network structure and allocate network resources efficiently. A local criterion is used to simultaneously establish the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. The proposed schemes are simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithms provide efficient network power control and can achieve high scalability in wireless sensor networks.

Dynamic hierarchical sleep scheduling for wireless ad-hoc sensor networks.

Science.gov (United States)

Wen, Chih-Yu; Chen, Ying-Chih

2009-01-01

This paper presents two scheduling management schemes for wireless sensor networks, which manage the sensors by utilizing the hierarchical network structure and allocate network resources efficiently. A local criterion is used to simultaneously establish the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. The proposed schemes are simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithms provide efficient network power control and can achieve high scalability in wireless sensor networks.

Incorporating price-responsive customers in day-ahead scheduling of smart distribution networks

International Nuclear Information System (INIS)

Mazidi, Mohammadreza; Monsef, Hassan; Siano, Pierluigi

2016-01-01

Highlights: • Proposing a model for incorporating price-responsive customers in day-ahead scheduling of smart distribution networks; this model provides a win–win situation. • Introducing a risk management model based on a bi-level information-gap decision theory and recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions. • Utilizing mixed-integer linear programing formulation that is efficiently solved by commercial optimization software. - Abstract: Demand response and real-time pricing of electricity are key factors in a smart grid as they can increase economic efficiency and technical performances of power grids. This paper focuses on incorporating price-responsive customers in day-ahead scheduling of smart distribution networks under a dynamic pricing environment. A novel method is proposed and formulated as a tractable mixed integer linear programming optimization problem whose objective is to find hourly sale prices offered to customers, transactions (purchase/sale) with the wholesale market, commitment of distribution generation units, dispatch of battery energy storage systems and planning of interruptible loads in a way that the profit of the distribution network operator is maximized while customers’ benefit is guaranteed. To hedge distribution network operator against financial risk arising from uncertainty of wholesale market prices, a risk management model based on a bi-level information-gap decision theory is proposed. The proposed bi-level problem is solved by recasting it into its equivalent single-level robust optimization problem using Karush–Kuhn–Tucker optimality conditions. Performance of the proposed model is verified by applying it to a modified version of the IEEE 33-bus distribution test network. Numerical results demonstrate the effectiveness and efficiency of the proposed method.

Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan

Directory of Open Access Journals (Sweden)

Min-Ren Yan

2013-02-01

Full Text Available High-technology industries provide opportunities for economic growth, but also raise concerns because of their energy-demanding nature. This paper provides an integrated evaluation of both economic benefits and energy efficiency of high-technology industries based on the real data from one of the globally recognized high-technology industrial clusters, the national science parks in Taiwan. A nation-wide industrial Input-Output Analysis is conducted to demonstrate the positive effects of science parks on national economic developments and industrial upgrades. The concept of energy intensity and an energy-efficient economy index are applied to an integrated assessment of the relationship between economic growth and energy consumption. The proposed case study suggests that economic and energy efficiency objectives can be simultaneously achieved by the development of high-technology industries, while three energy policy implications are considered. First, a nation-wide macro viewpoint is needed and high-technology industries should be considered as parts of the national/regional economies by governmental agencies. Second, a proper industrial clustering mechanism and the shared environmental facilities supported by the government, such as planned land and road usage, electricity and water supply, telecommunications system, sewerage system and wastewater treatments, can improve energy efficiency of high-technology industries. Third, the governmental policies on the taxing and management system in science parks would also direct energy-efficient economy of high-technology industries.

A customizable, scalable scheduling and reporting system.

Science.gov (United States)

Wood, Jody L; Whitman, Beverly J; Mackley, Lisa A; Armstrong, Robert; Shotto, Robert T

2014-06-01

Scheduling is essential for running a facility smoothly and for summarizing activities in use reports. The Penn State Hershey Clinical Simulation Center has developed a scheduling interface that uses off-the-shelf components, with customizations that adapt to each institution's data collection and reporting needs. The system is designed using programs within the Microsoft Office 2010 suite. Outlook provides the scheduling component, while the reporting is performed using Access or Excel. An account with a calendar is created for the main schedule, with separate resource accounts created for each room within the center. The Outlook appointment form's 2 default tabs are used, in addition to a customized third tab. The data are then copied from the calendar into either a database table or a spreadsheet, where the reports are generated.Incorporating this system into an institution-wide structure allows integration of personnel lists and potentially enables all users to check the schedule from their desktop. Outlook also has a Web-based application for viewing the basic schedule from outside the institution, although customized data cannot be accessed. The scheduling and reporting functions have been used for a year at the Penn State Hershey Clinical Simulation Center. The schedule has increased workflow efficiency, improved the quality of recorded information, and provided more accurate reporting. The Penn State Hershey Clinical Simulation Center's scheduling and reporting system can be adapted easily to most simulation centers and can expand and change to meet future growth with little or no expense to the center.

Departure Queue Prediction for Strategic and Tactical Surface Scheduler Integration

Science.gov (United States)

Zelinski, Shannon; Windhorst, Robert

2016-01-01

A departure metering concept to be demonstrated at Charlotte Douglas International Airport (CLT) will integrate strategic and tactical surface scheduling components to enable the respective collaborative decision making and improved efficiency benefits these two methods of scheduling provide. This study analyzes the effect of tactical scheduling on strategic scheduler predictability. Strategic queue predictions and target gate pushback times to achieve a desired queue length are compared between fast time simulations of CLT surface operations with and without tactical scheduling. The use of variable departure rates as a strategic scheduler input was shown to substantially improve queue predictions over static departure rates. With target queue length calibration, the strategic scheduler can be tuned to produce average delays within one minute of the tactical scheduler. However, root mean square differences between strategic and tactical delays were between 12 and 15 minutes due to the different methods the strategic and tactical schedulers use to predict takeoff times and generate gate pushback clearances. This demonstrates how difficult it is for the strategic scheduler to predict tactical scheduler assigned gate delays on an individual flight basis as the tactical scheduler adjusts departure sequence to accommodate arrival interactions. Strategic/tactical scheduler compatibility may be improved by providing more arrival information to the strategic scheduler and stabilizing tactical scheduler changes to runway sequence in response to arrivals.

Economic efficiency of environmental management system operation in industrial companies

Science.gov (United States)

Dukmasova, N.; Ershova, I.; Plastinina, I.; Boyarinov, A.

2017-06-01

The article examines the issue of the efficiency of the environmental management system (EMS) implementation in the Russian machine-building companies. The analysis showed that Russia clearly lags behind other developed and developing countries in terms of the number of ISO 14001 certified companies. According to the authors, the main cause of weak system implementation activity is attributed to the lack of interest in ISO 14001 certification on the Russian market. Five-year primary (field) research aimed at the analysis of the environmental priorities of the civilians suggests that the image component of the economic benefits ensures the increase in economic and financial performance of the company due to the increase in customers’ loyalty to the products of the EMS adopter. To quantify economic benefits obtained from EMS implementation, a methodological approach with regard to the image component and the decrease in semi-fixed costs due to the increase in the production scale has been developed. This approach has been tested in a machine-building electrical equipment manufacturer in Ekaterinburg. This approach applied to data processing yields the conclusion that EMS gives a good additional competitive advantage to its adopters.

Short-term economic environmental hydrothermal scheduling using improved multi-objective gravitational search algorithm

International Nuclear Information System (INIS)

Li, Chunlong; Zhou, Jianzhong; Lu, Peng; Wang, Chao

2015-01-01

Highlights: • Improved multi-objective gravitational search algorithm. • An elite archive set is proposed to guide evolutionary process. • Neighborhood searching mechanism to improve local search ability. • Adopt chaotic mutation for avoiding premature convergence. • Propose feasible space method to handle hydro plant constrains. - Abstract: With growing concerns about energy and environment, short-term economic environmental hydrothermal scheduling (SEEHS) plays a more and more important role in power system. Because of the two objectives and various constraints, SEEHS is a complex multi-objective optimization problem (MOOP). In order to solve the problem, we propose an improved multi-objective gravitational search algorithm (IMOGSA) in this paper. In IMOGSA, the mass of the agent is redefined by multiple objectives to make it suitable for MOOP. An elite archive set is proposed to keep Pareto optimal solutions and guide evolutionary process. For balancing exploration and exploitation, a neighborhood searching mechanism is presented to cooperate with chaotic mutation. Moreover, a novel method based on feasible space is proposed to handle hydro plant constraints during SEEHS, and a violation adjustment method is adopted to handle power balance constraint. For verifying its effectiveness, the proposed IMOGSA is applied to a hydrothermal system in two different case studies. The simulation results show that IMOGSA has a competitive performance in SEEHS when compared with other established algorithms

Improved Scheduling Mechanisms for Synchronous Information and Energy Transmission.

Science.gov (United States)

Qin, Danyang; Yang, Songxiang; Zhang, Yan; Ma, Jingya; Ding, Qun

2017-06-09

Wireless energy collecting technology can effectively reduce the network time overhead and prolong the wireless sensor network (WSN) lifetime. However, the traditional energy collecting technology cannot achieve the balance between ergodic channel capacity and average collected energy. In order to solve the problem of the network transmission efficiency and the limited energy of wireless devices, three improved scheduling mechanisms are proposed: improved signal noise ratio (SNR) scheduling mechanism (IS2M), improved N-SNR scheduling mechanism (INS2M) and an improved Equal Throughput scheduling mechanism (IETSM) for different channel conditions to improve the whole network performance. Meanwhile, the average collected energy of single users and the ergodic channel capacity of three scheduling mechanisms can be obtained through the order statistical theory in Rayleig, Ricean, Nakagami- m and Weibull fading channels. It is concluded that the proposed scheduling mechanisms can achieve better balance between energy collection and data transmission, so as to provide a new solution to realize synchronous information and energy transmission for WSNs.

Impact of interference on the performance of selection based parallel multiuser scheduling

KAUST Repository

Nam, Sungsik

2012-02-01

In conventional multiuser parallel scheduling schemes, every scheduled user is interfering with every other scheduled user, which limits the capacity and performance of multiuser systems, and the level of interference becomes substantial as the number of scheduled users increases. Based on the above observations, we investigate the trade-off between the system throughput and the number of scheduled users through the exact analysis of the total average sum rate capacity and the average spectral efficiency. Our analytical results can help the system designer to carefully select the appropriate number of scheduled users to maximize the overall throughput while maintaining an acceptable quality of service under certain channel conditions. © 2012 IEEE.

Project Scheduling Heuristics-Based Standard PSO for Task-Resource Assignment in Heterogeneous Grid

OpenAIRE

Chen, Ruey-Maw; Wang, Chuin-Mu

2011-01-01

The task scheduling problem has been widely studied for assigning resources to tasks in heterogeneous grid environment. Effective task scheduling is an important issue for the performance of grid computing. Meanwhile, the task scheduling problem is an NP-complete problem. Hence, this investigation introduces a named “standard“ particle swarm optimization (PSO) metaheuristic approach to efficiently solve the task scheduling problems in grid. Meanwhile, two promising heuristics based on multimo...

Environmental policy and economic efficiency: tradable permits versus regulatory instrument to control air pollution: a comparative approach USA/France

International Nuclear Information System (INIS)

Cros, Ch.

1998-12-01

The key issue of the thesis paradox of the weak implementation of economic instruments whereas 1) they are theoretically and also empirically considered as efficient; 2) the market imposes itself as the central reference to modem economies; and 3) economic efficiency is nowadays a legitimacy measure of public policies. Two different answers can be given: either theoretical analysis does not enable to explain the real economic efficiency of a political instrument, or environmental policies do not have economic efficiency as their main objective. The analysis take place in a context of a limited rationality and an inter-temporal consistency of public policies. The purpose is to understand the role of economic efficiency criteria during the adoption, building, and evolution of an environmental policy with an analytical point of view, and not a normative one. The institutional analysis of the American and the French pollution control policies, representative of the implementation of a trading permit system for the first, and of a regulatory instrument for the second, prove that the theoretical analysis of an instrument can not explain a real coordination, but only one organizational form among others. An institutional trajectory is the interpretation of policy instruments of policy instruments from 5 fundamental elements: the nature of the legitimacy of the policy; the nature of the regulator hypothesis on the information; the nature of the decision-making basis; the nature of the collective action. A coordination changes when the occurrence of an event moves one of the fundamental elements, and disorganizes the satisfying equilibrium of the agents. Then, the economic efficiency becomes a negotiation point. A political instrument is adopted for its own ability to solve a dysfunction without disrupting the coordination. (author)

Cloud Computing Task Scheduling Based on Cultural Genetic Algorithm

Directory of Open Access Journals (Sweden)

Li Jian-Wen

2016-01-01

Full Text Available The task scheduling strategy based on cultural genetic algorithm(CGA is proposed in order to improve the efficiency of task scheduling in the cloud computing platform, which targets at minimizing the total time and cost of task scheduling. The improved genetic algorithm is used to construct the main population space and knowledge space under cultural framework which get independent parallel evolution, forming a mechanism of mutual promotion to dispatch the cloud task. Simultaneously, in order to prevent the defects of the genetic algorithm which is easy to fall into local optimum, the non-uniform mutation operator is introduced to improve the search performance of the algorithm. The experimental results show that CGA reduces the total time and lowers the cost of the scheduling, which is an effective algorithm for the cloud task scheduling.

Optimizing Air Transportation Service to Metroplex Airports. Par 2; Analysis Using the Airline Schedule Optimization Model (ASOM)

Science.gov (United States)

Donoue, George; Hoffman, Karla; Sherry, Lance; Ferguson, John; Kara, Abdul Qadar

2010-01-01

The air transportation system is a significant driver of the U.S. economy, providing safe, affordable, and rapid transportation. During the past three decades airspace and airport capacity has not grown in step with demand for air transportation; the failure to increase capacity at the same rate as the growth in demand results in unreliable service and systemic delay. This report describes the results of an analysis of airline strategic decision-making that affects geographic access, economic access, and airline finances, extending the analysis of these factors using historic data (from Part 1 of the report). The Airline Schedule Optimization Model (ASOM) was used to evaluate how exogenous factors (passenger demand, airline operating costs, and airport capacity limits) affect geographic access (markets-served, scheduled flights, aircraft size), economic access (airfares), airline finances (profit), and air transportation efficiency (aircraft size). This analysis captures the impact of the implementation of airport capacity limits, as well as the effect of increased hedged fuel prices, which serve as a proxy for increased costs per flight that might occur if auctions or congestion pricing are imposed; also incorporated are demand elasticity curves based on historical data that provide information about how passenger demand is affected by airfare changes.

Is the Economic andTesting the Efficient Markets Hypothesis on the Romanian Capital Market

Directory of Open Access Journals (Sweden)

Dragoș Mînjină

2013-11-01

Full Text Available Informational efficiency of capital markets has been the subject of numerous empirical studies. Intensive research of the field is justified by the important implications of the knowledge of the of informational efficiency level in the financial practice. Empirical studies that have tested the efficient markets hypothesis on the Romanian capital market revealed mostly that this market is not characterised by the weak form of the efficient markets hypothesis. However, recent empirical studies have obtained results for the weak form of the efficient markets hypothesis. The present decline period of the Romanian capital market, recorded on the background of adverse economic developments internally and externally, will be an important test for the continuation of recent positive developments, manifested the level of informational efficiency too.

Erratum to ''Johnson's algorithm : A key to solve optimally or approximately flowshop scheduling problems with unavailability periods'' [International Journal of Production Economics 121 (2009) 81-87

OpenAIRE

Rapine , Christophe

2013-01-01

International audience; In Allaoui H., Artiba A, ''Johnson's algorithm : A key to solve optimally or approximately flowshop scheduling problems with unavailability periods'' [International Journal of Production Economics 121 (2009)] the authors propose optimality conditions for the Johnson sequence in presence of one unavailability period on the first machine and pretend for a performance guarantee of 2 when several unavailability periods may occur. We establish in this note that these condit...

Multi-objective scheduling of electric vehicles in smart distribution system

International Nuclear Information System (INIS)

Zakariazadeh, Alireza; Jadid, Shahram; Siano, Pierluigi

2014-01-01

Highlights: • Environmental/economic operational scheduling of electric vehicles. • The Vehicle to Grid capability and the actual patterns of drivers are considered. • A novel conceptual model for an electric vehicle management system is proposed. - Abstract: When preparing for the widespread adoption of Electric Vehicles (EVs), an important issue is to use a proper EVs’ charging/discharging scheduling model that is able to simultaneously consider economic and environmental goals as well as technical constraints of distribution networks. This paper proposes a multi-objective operational scheduling method for charging/discharging of EVs in a smart distribution system. The proposed multi-objective framework, based on augmented ε-constraint method, aims at minimizing the total operational costs and emissions. The Vehicle to Grid (V2G) capability as well as the actual patterns of drivers are considered in order to generate the Pareto-optimal solutions. The Benders decomposition technique is used in order to solve the proposed optimization model and to convert the large scale mixed integer nonlinear problem into mixed-integer linear programming and nonlinear programming problems. The effectiveness of the proposed resources scheduling approach is tested on a 33-bus distribution test system over a 24-h period. The results show that the proposed EVs’ charging/discharging method can reduce both of operation cost and air pollutant emissions

ECONOMIC AND SOCIAL OPERATIONAL EFFICIENCY OF MARKET DISTRIBUTION OF INCOME: APPROACHES TO EVALUATION

Directory of Open Access Journals (Sweden)

Z. Halushka

2015-03-01

Full Text Available This article provides a comparison between scientific approaches to understanding the economic and social efficiency of market income distribution. Based on multidisciplinary approaches the essence of the concepts of fairness and efficiency in the distribution; explored approaches to combining efficiency and equity used in policy income distribution at different levels of management; the possible social and economic consequences of ineffective regulation of income in today’s economy. The analysis is based on comparing the four concepts of justice that are considered socially efficient. Considered: utilitarian, formulated by J. Bentham; egalitarian, which provides for equal distribution; market (liberal approach – to polar egalitarian and roulzianskyy that treats justice as fairness, approaches. Based on the generalization of existing approaches analyzed method of estimating social justice in the distribution and the possibility of its application. The structure of the article includes the following sections: 1.Views on terms of efficiency and equity in the distribution of resources and income; 2. Classical and modern approaches to combining efficiency and equity in the distribution; 3. Conflicts combination of the principles of fairness and efficiency in the distribution of incomes policy. The authors also noted that the uneven distribution of income acts as an objective reality, and the question is to prevent dangerous indicators of this unevenness. Market income distribution does not guarantee every person an acceptable level of income. The causes of irregularity are: differences in abilities, mental as well as physical; differences in possession of the property, in the educational level and group reasons associated with luck, chance, surprise win more. This is a definite social injustice market. State, taking a significant share of responsibility for maintaining a basic human right to a dignified life, organizes redistribution.

Job scheduling in a heterogenous grid environment

Energy Technology Data Exchange (ETDEWEB)

Oliker, Leonid; Biswas, Rupak; Shan, Hongzhang; Smith, Warren

2004-02-11

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. However, a number of major technical hurdles must be overcome before this potential can be realized. One problem that is critical to effective utilization of computational grids is the efficient scheduling of jobs. This work addresses this problem by describing and evaluating a grid scheduling architecture and three job migration algorithms. The architecture is scalable and does not assume control of local site resources. The job migration policies use the availability and performance of computer systems, the network bandwidth available between systems, and the volume of input and output data associated with each job. An extensive performance comparison is presented using real workloads from leading computational centers. The results, based on several key metrics, demonstrate that the performance of our distributed migration algorithms is significantly greater than that of a local scheduling framework and comparable to a non-scalable global scheduling approach.

VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans

Science.gov (United States)

Wang, Song; Gupta, Chetan; Mehta, Abhay

There are data streams all around us that can be harnessed for tremendous business and personal advantage. For an enterprise-level stream processing system such as CHAOS [1] (Continuous, Heterogeneous Analytic Over Streams), handling of complex query plans with resource constraints is challenging. While several scheduling strategies exist for stream processing, efficient scheduling of complex DAG query plans is still largely unsolved. In this paper, we propose a novel execution scheme for scheduling complex directed acyclic graph (DAG) query plans with meta-data enriched stream tuples. Our solution, called Virtual Pipelined Chain (or VPipe Chain for short), effectively extends the "Chain" pipelining scheduling approach to complex DAG query plans.

Influence of cable losses on the economic analysis of efficient and sustainable electrical equipment

International Nuclear Information System (INIS)

Lobão, J.A.; Devezas, T.; Catalão, J.P.S.

2014-01-01

Increasing energy needs are accompanied by environmental responsibilities, since nowadays electricity companies operate in a competitive and sustainable energy framework. In this context, any proposal for action on energy efficiency becomes important for consumers to minimize operational costs. In electrical installations, electricity consumption can be decreased by reducing losses in the cables, associated with the overall efficiency of the equipment, allowing a better use of the installed power. The losses must be analysed in conjunction with all loads that contribute to the currents in the sections of an electrical installation. When replacing equipment in output distribution boxes with more efficient ones, the current in those sections is reduced in association with the decrease in power losses. This decrease, often forgotten, is taken into account in this work for the economic analysis of efficiency and sustainable electrical equipment. This paper presents a new software application that compares and chooses the best investment in the acquisition of electrical equipment. Simulation results obtained with the new software application are provided and are then validated with experimental results from a real electrical installation. - Highlights: • Any proposal for action on energy efficiency is important for consumers. • Electricity consumption can be decreased by reducing losses in the cables. • A new software application that compares and chooses the best investment is provided. • The economic analysis of efficiency and sustainable electrical equipment is carried out. • Simulation results are validated with experimental results from a real electrical installation

Management information system for cost-schedule integration control for nuclear power projects

International Nuclear Information System (INIS)

Liu Wei; Wang Yongqing; Tian Li

2001-01-01

Based on the project management experience abroad and at home, a cost-schedule integration control model was developed to improve nuclear power project management. The model integrates cost data with the scheduling data by unity coding to efficiently implement cost-schedule integration control on line. The software system architecture and database is designed and implemented. The system functions include estimating and forecasting dynamically cash flow, scheduling and evaluating deviation from the cost-schedule plan, etc. The research and development of the system should improve the architecture of computer integrated management information systems for nuclear power projects in China

Comparing Book- and Tablet-Based Picture Activity Schedules: Acquisition and Preference.

Science.gov (United States)

Giles, Aimee; Markham, Victoria

2017-09-01

Picture activity schedules consist of a sequence of images representing the order of tasks for a person to complete. Although, picture activity schedules have traditionally been presented in a book format, recently picture activity schedules have been evaluated on technological devices such as an iPod™ touch. The present study compared the efficiency of picture activity schedule acquisition on book- and tablet-based modalities. In addition, participant preference for each modality was assessed. Three boys aged below 5 years with a diagnosis of autism participated. Participants were taught to follow the schedules using both modalities. Following mastery of each modality of picture activity schedule, a concurrent-chains preference assessment was conducted to evaluate participant preference for each modality. Differences in acquisition rates across the two modalities were marginal. Preference for book- or tablet-based schedules was idiosyncratic across participants.

Analysis of the influence of external factors on efficiency of use of resource potential and economic growth of the region

Directory of Open Access Journals (Sweden)

M. P. Vasiliev

2017-01-01

Full Text Available In the article are described and analyzed the influence of factors of external and internal environments on maintaining the planned economic growth, efficient use of the resource potential of the regional economic complex. Are provided methods of analysis and comprehensive measures to maintain the planned pace of economic growth of the region, expansion of competitive advantages. Enlargement and generalization determine the impact of economic environmental factors, in accordance with the duration of optimization and changes in the business cycle, provide a high level of confidence in the estimates of the impact of the macro environment on the process of achieving economic success, efficient use of the resource potential of the regional economic complex. Analysis of the internal conditions of region is carried out by management on the basis of establishing the optimal values of the distribution of the resource potential for high-priority, economically viable, and socially important areas of efficient use of logistical, labor, information, and natural resources, analysis of the current or having a tendency to the formation of informal communities in the sectoral components of economic activities, industrial complexes and social services. The possibilities of the availability and abilities of the region to influence the structural components in achieving the economic and financial goals of the activity are considered, including ensuring sustainable dynamics in increasing the efficiency of regional production, providing competitive advantages in the use of consumed resources. The factors proposed for consideration, different management of the regional economy, contribute to the creation of both formal and informal organizational and economic communities, taking into account the interests of all its participants. In addition, mechanisms and tools are proposed that facilitate the creation of favorable conditions for participants in informal clusters

Constraint-based job shop scheduling with ILOG SCHEDULER

NARCIS (Netherlands)

Nuijten, W.P.M.; Le Pape, C.

1998-01-01

We introduce constraint-based scheduling and discuss its main principles. An approximation algorithm based on tree search is developed for the job shop scheduling problem using ILOG SCHEDULER. A new way of calculating lower bounds on the makespan of the job shop scheduling problem is presented and

Economic rationalism and the cost efficiency of hospital chaplaincy: an Australian study.

Science.gov (United States)

Newell, C; Carey, L B

2000-01-01

Health care reform is also occurring in Australia and effects hospital chaplaincy programs. "Economic rationalism" is the philosophic foundation of this effort and its contrast with the values inherit in hospital chaplaincy are highlighted. Selected research results from the Australian system are described and the authors offer a perspective on the cost efficiency of hospital chaplaincy.

Factors that are influencing the economical efficiency of the CHP plants

International Nuclear Information System (INIS)

Ruieneanu, Liviu; Ion, Mircea

2004-01-01

This paper presents some factors that might influence the economical efficiency of a cogeneration plant. These factors are: the understanding of the fuel economy at consumers; - the influence of the electricity production efficiency; - the influence of exergy losses. The statistical data for different countries of Europe show that under the conditions of a deregulated liberalized market of energy the cogeneration plants have numerous financial difficulties. Even if the use of cogeneration ensures a fuel saving, if this economy it is not obvious for the consumers, those consumers might prefer for the production of heat the use of a heat only generating plant. This trend might spread rapidly if the increase of the electricity will not be present immediately in the bill of the consumers that renounce to the heat produced by the CHP plant. The method used for cost allocation on both types of energy has also a great importance, because it might facilitate the rehabilitation measures and doing so it might allow lower prices for both types of energy. Perhaps the most important factor for the economical efficiency of the plant are the exergy losses. The analysis presented above shows two things, namely: - that the electricity production has a very high price, and this cost might be lowered down by some rehabilitation measures (for example repowering); - and that the heat only plants (boilers) are not affected by the exergy losses and that's why if we analyse only the heat production, the use of cogeneration might seem inappropriate

Centralized mission planning and scheduling system for the Landsat Data Continuity Mission

Science.gov (United States)

Kavelaars, Alicia; Barnoy, Assaf M.; Gregory, Shawna; Garcia, Gonzalo; Talon, Cesar; Greer, Gregory; Williams, Jason; Dulski, Vicki

2014-01-01

Satellites in Low Earth Orbit provide missions with closer range for studying aspects such as geography and topography, but often require efficient utilization of space and ground assets. Optimizing schedules for these satellites amounts to a complex planning puzzle since it requires operators to face issues such as discontinuous ground contacts, limited onboard memory storage, constrained downlink margin, and shared ground antenna resources. To solve this issue for the Landsat Data Continuity Mission (LDCM, Landsat 8), all the scheduling exchanges for science data request, ground/space station contact, and spacecraft maintenance and control will be coordinated through a centralized Mission Planning and Scheduling (MPS) engine, based upon GMV’s scheduling system flexplan9 . The synchronization between all operational functions must be strictly maintained to ensure efficient mission utilization of ground and spacecraft activities while working within the bounds of the space and ground resources, such as Solid State Recorder (SSR) and available antennas. This paper outlines the functionalities that the centralized planning and scheduling system has in its operational control and management of the Landsat 8 spacecraft.

A first Experimental Investigation of the Practical Efficiency of Battery Scheduling

NARCIS (Netherlands)

Miliche, Damien; de Graaf, Maurits; Hoekstra, Gerard; Jongerden, M.R.; Haverkort, Boudewijn R.H.M.

Nowadays, mobile devices are used more and more, and their battery lifetime is a key concern. In this paper, we concentrate on a method called battery scheduling with the aim to optimize the battery lifetime of mobile devices. This technique has already been largely theoretically studied in other

Gain and exposure scheduling to compensate for photorefractive neural-network weight decay

Science.gov (United States)

Goldstein, Adam A.; Petrisor, Gregory C.; Jenkins, B. Keith

1995-03-01

A gain and exposure schedule that theoretically eliminates the effect of photorefractive weight decay for the general class of outer-product neural-network learning algorithms (e.g., backpropagation, Widrow-Hoff, perceptron) is presented. This schedule compensates for photorefractive diffraction-efficiency decay by iteratively increasing the spatial-light-modulator transfer function gain and decreasing the weight-update exposure time. Simulation results for the scheduling procedure, as applied to backpropagation learning for the exclusive-OR problem, show improved learning performance compared with results for networks trained without scheduling.

Sensitivity of the optimal parameter settings for a LTE packet scheduler

NARCIS (Netherlands)

Fernandez-Diaz, I.; Litjens, R.; van den Berg, C.A.; Dimitrova, D.C.; Spaey, K.

Advanced packet scheduling schemes in 3G/3G+ mobile networks provide one or more parameters to optimise the trade-off between QoS and resource efficiency. In this paper we study the sensitivity of the optimal parameter setting for packet scheduling in LTE radio networks with respect to various

Efficient Resource Scheduling by Exploiting Relay Cache for Cellular Networks

Directory of Open Access Journals (Sweden)

Chun He

2015-01-01

Full Text Available In relay-enhanced cellular systems, throughput of User Equipment (UE is constrained by the bottleneck of the two-hop link, backhaul link (or the first hop link, and access link (the second hop link. To maximize the throughput, resource allocation should be coordinated between these two hops. A common resource scheduling algorithm, Adaptive Distributed Proportional Fair, only ensures that the throughput of the first hop is greater than or equal to that of the second hop. But it cannot guarantee a good balance of the throughput and fairness between the two hops. In this paper, we propose a Two-Hop Balanced Distributed Scheduling (TBS algorithm by exploiting relay cache for non-real-time data traffic. The evolved Node Basestation (eNB adaptively adjusts the number of Resource Blocks (RBs allocated to the backhaul link and direct links based on the cache information of relays. Each relay allocates RBs for relay UEs based on the size of the relay UE’s Transport Block. We also design a relay UE’s ACK feedback mechanism to update the data at relay cache. Simulation results show that the proposed TBS can effectively improve resource utilization and achieve a good trade-off between system throughput and fairness by balancing the throughput of backhaul and access link.

Research on Energy-Saving Production Scheduling Based on a Clustering Algorithm for a Forging Enterprise

Directory of Open Access Journals (Sweden)

Yifei Tong

2016-02-01

Full Text Available Energy efficiency is a buzzword of the 21st century. With the ever growing need for energy efficient and low-carbon production, it is a big challenge for high energy-consumption enterprises to reduce their energy consumption. To this aim, a forging enterprise, DVR (the abbreviation of a forging enterprise, is researched. Firstly, an investigation into the production processes of DVR is given as well as an analysis of forging production. Then, the energy-saving forging scheduling is decomposed into two sub-problems. One is for cutting and machining scheduling, which is similar to traditional machining scheduling. The other one is for forging and heat treatment scheduling. Thirdly, former forging production scheduling is presented and solved based on an improved genetic algorithm. Fourthly, the latter is discussed in detail, followed by proposed dynamic clustering and stacking combination optimization. The proposed stacking optimization requires making the gross weight of forgings as close to the maximum batch capacity as possible. The above research can help reduce the heating times, and increase furnace utilization with high energy efficiency and low carbon emissions.

The R-Shell approach - Using scheduling agents in complex distributed real-time systems

Science.gov (United States)

Natarajan, Swaminathan; Zhao, Wei; Goforth, Andre

1993-01-01

Large, complex real-time systems such as space and avionics systems are extremely demanding in their scheduling requirements. The current OS design approaches are quite limited in the capabilities they provide for task scheduling. Typically, they simply implement a particular uniprocessor scheduling strategy and do not provide any special support for network scheduling, overload handling, fault tolerance, distributed processing, etc. Our design of the R-Shell real-time environment fcilitates the implementation of a variety of sophisticated but efficient scheduling strategies, including incorporation of all these capabilities. This is accomplished by the use of scheduling agents which reside in the application run-time environment and are responsible for coordinating the scheduling of the application.

Engineering schedule control of nuclear power project planning and management

International Nuclear Information System (INIS)

Meng Hao

2014-01-01

Nuclear power design is the important part of project management of nuclear power project, it is the way to control the project organization, design schedule, design progress, design quality and cost control. The good schedule system and control is the key to the success for the project. It is also analyzed the problem during the project, by using some theory and analyze the project structure, design schedule management, IED and document management and interface management propose some new idea for better improve the design management to finally better improve the management quality and efficiency. (author)

Iterative group splitting algorithm for opportunistic scheduling systems

KAUST Repository

Nam, Haewoon; Alouini, Mohamed-Slim

2014-01-01

An efficient feedback algorithm for opportunistic scheduling systems based on iterative group splitting is proposed in this paper. Similar to the opportunistic splitting algorithm, the proposed algorithm adjusts (or lowers) the feedback threshold

Research on Arrival/Departure Scheduling of Flights on Multirunways Based on Genetic Algorithm

Directory of Open Access Journals (Sweden)

Hang Zhou

2014-01-01

Full Text Available Aiming at the phenomenon of a large number of flight delays in the terminal area makes a reasonable scheduling for the approach and departure flights, which will minimize flight delay losses and improve runway utilization. This paper considered factors such as operating conditions and safety interval of multi runways; the maximum throughput and minimum flight delay losses as well as robustness were taken as objective functions; the model of optimization scheduling of approach and departure flights was established. Finally, the genetic algorithm was introduced to solve the model. The results showed that, in the program whose advance is not counted as a loss, its runway throughput is improved by 18.4%, the delay losses are reduced by 85.8%, and the robustness is increased by 20% compared with the results of FCFS (first come first served algorithm, while, compared with the program whose advance is counted as a loss, the runway throughput is improved by 15.16%, flight delay losses are decreased by 75.64%, and the robustness is also increased by 20%. The algorithm can improve the efficiency and reduce delay losses effectively and reduce the workload of controllers, thereby improving economic results.

A new approach for global synchronization in hierarchical scheduled real-time systems

NARCIS (Netherlands)

Behnam, M.; Nolte, T.; Bril, R.J.

2009-01-01

We present our ongoing work to improve an existing synchronization protocol SIRAP for hierarchically scheduled real-time systems. A less pessimistic schedulability analysis is presented which can make the SIRAP protocol more efficient in terms of calculated CPU resource needs. In addition and for

Multiresource allocation and scheduling for periodic soft real-time applications

Science.gov (United States)

Gopalan, Kartik; Chiueh, Tzi-cker

2001-12-01

Real-time applications that utilize multiple system resources, such as CPU, disks, and network links, require coordinated scheduling of these resources in order to meet their end-to-end performance requirements. Most state-of-the-art operating systems support independent resource allocation and deadline-driven scheduling but lack coordination among multiple heterogeneous resources. This paper describes the design and implementation of an Integrated Real-time Resource Scheduler (IRS) that performs coordinated allocation and scheduling of multiple heterogeneous resources on the same machine for periodic soft real-time application. The principal feature of IRS is a heuristic multi-resource allocation algorithm that reserves multiple resources for real-time applications in a manner that can maximize the number of applications admitted into the system in the long run. At run-time, a global scheduler dispatches the tasks of the soft real-time application to individual resource schedulers according to the precedence constraints between tasks. The individual resource schedulers, which could be any deadline based schedulers, can make scheduling decisions locally and yet collectively satisfy a real-time application's performance requirements. The tightness of overall timing guarantees is ultimately determined by the properties of individual resource schedulers. However, IRS maximizes overall system resource utilization efficiency by coordinating deadline assignment across multiple tasks in a soft real-time application.

Research on Scheduling Algorithm for Multi-satellite and Point Target Task on Swinging Mode

Science.gov (United States)

Wang, M.; Dai, G.; Peng, L.; Song, Z.; Chen, G.

2012-12-01

Nowadays, using satellite in space to observe ground is an important and major method to obtain ground information. With the development of the scientific technology in the field of space, many fields such as military and economic and other areas have more and more requirement of space technology because of the benefits of the satellite's widespread, timeliness and unlimited of area and country. And at the same time, because of the wide use of all kinds of satellites, sensors, repeater satellites and ground receiving stations, ground control system are now facing great challenge. Therefore, how to make the best value of satellite resources so as to make full use of them becomes an important problem of ground control system. Satellite scheduling is to distribute the resource to all tasks without conflict to obtain the scheduling result so as to complete as many tasks as possible to meet user's requirement under considering the condition of the requirement of satellites, sensors and ground receiving stations. Considering the size of the task, we can divide tasks into point task and area task. This paper only considers point targets. In this paper, a description of satellite scheduling problem and a chief introduction of the theory of satellite scheduling are firstly made. We also analyze the restriction of resource and task in scheduling satellites. The input and output flow of scheduling process are also chiefly described in the paper. On the basis of these analyses, we put forward a scheduling model named as multi-variable optimization model for multi-satellite and point target task on swinging mode. In the multi-variable optimization model, the scheduling problem is transformed the parametric optimization problem. The parameter we wish to optimize is the swinging angle of every time-window. In the view of the efficiency and accuracy, some important problems relating the satellite scheduling such as the angle relation between satellites and ground targets, positive

CARMENES instrument control system and operational scheduler

Science.gov (United States)

Garcia-Piquer, Alvaro; Guàrdia, Josep; Colomé, Josep; Ribas, Ignasi; Gesa, Lluis; Morales, Juan Carlos; Pérez-Calpena, Ana; Seifert, Walter; Quirrenbach, Andreas; Amado, Pedro J.; Caballero, José A.; Reiners, Ansgar

2014-07-01

The main goal of the CARMENES instrument is to perform high-accuracy measurements of stellar radial velocities (1m/s) with long-term stability. CARMENES will be installed in 2015 at the 3.5 m telescope in the Calar Alto Observatory (Spain) and it will be equipped with two spectrographs covering from the visible to the near-infrared. It will make use of its near-IR capabilities to observe late-type stars, whose peak of the spectral energy distribution falls in the relevant wavelength interval. The technology needed to develop this instrument represents a challenge at all levels. We present two software packages that play a key role in the control layer for an efficient operation of the instrument: the Instrument Control System (ICS) and the Operational Scheduler. The coordination and management of CARMENES is handled by the ICS, which is responsible for carrying out the operations of the different subsystems providing a tool to operate the instrument in an integrated manner from low to high user interaction level. The ICS interacts with the following subsystems: the near-IR and visible channels, composed by the detectors and exposure meters; the calibration units; the environment sensors; the front-end electronics; the acquisition and guiding module; the interfaces with telescope and dome; and, finally, the software subsystems for operational scheduling of tasks, data processing, and data archiving. We describe the ICS software design, which implements the CARMENES operational design and is planned to be integrated in the instrument by the end of 2014. The CARMENES operational scheduler is the second key element in the control layer described in this contribution. It is the main actor in the translation of the survey strategy into a detailed schedule for the achievement of the optimization goals. The scheduler is based on Artificial Intelligence techniques and computes the survey planning by combining the static constraints that are known a priori (i.e., target

Political and Economic Decisions and Competition – What is the Efficient Antimonopoly Policy?

Directory of Open Access Journals (Sweden)

Irakli Lekvinadze

2014-03-01

Full Text Available This article discusses the influence of economic decisions which affect the antitrust and competition support policies. Many countries provide governmental initiatives for improving antirust legislation. There is an effort to develop efficient legislation, to define market boundaries, to identify dominating companies, and to prevent cartel development. A review of the literature has shown that refined legislation does not work. Qualified and non-politicized economic decisions are required to provide fair and equitable competition in the marketplace. The discussions of various researchers are profiled on the economic issues. This article analyzes The Republic of Georgia’s 20 year unique market experiences in Eastern Europe. Recommendations have been proposed to increase the effectiveness of an anti-monopoly policy. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4

Relationship among performance, carcass, and feed efficiency characteristics, and their ability to predict economic value in the feedlot.

Science.gov (United States)

Retallick, K M; Faulkner, D B; Rodriguez-Zas, S L; Nkrumah, J D; Shike, D W

2013-12-01

A 4-yr study was conducted using 736 steers of known Angus, Simmental, or Simmental × Angus genetics to determine performance, carcass, and feed efficiency factors that explained variation in economic performance. Steers were pen fed and individual DMI was recorded using a GrowSafe automated feeding system (GrowSafe Systems Ltd., Airdrie, Alberta, Canada). Steers consumed a similar diet and received similar management each year. The objectives of this study were to: 1) determine current economic value of feed efficiency and 2) identify performance, carcass, and feed efficiency characteristics that predict: carcass value, profit, cost of gain, and feed costs. Economic data used were from 2011 values. Feed efficiency values investigated were: feed conversion ratio (FCR; feed to gain), residual feed intake (RFI), residual BW gain (RG), and residual intake and BW gain (RIG). Dependent variables were carcass value ($/steer), profit ($/steer), feed costs ($/steer • d(-1)), and cost of gain ($/kg). Independent variables were year, DMI, ADG, HCW, LM area, marbling, yield grade, dam breed, and sire breed. A 10% improvement in RG (P Profit increased with a 10% improvement in feed efficiency (P profit. Eighty-five percent of the variation in cost of gain was explained by ADG, DMI, HCW, and year. Prediction equations were developed that excluded ADG and DMI, and included feed efficiency values. Using these equations, cost of gain was explained primarily by FCR (R(2) = 0.71). Seventy-three percent of profitability was explained, with 55% being accounted for by RG and marbling. These prediction equations represent the relative importance of factors contributing to economic success in feedlot cattle based on current prices.

Refinery scheduling

Energy Technology Data Exchange (ETDEWEB)

Magalhaes, Marcus V.; Fraga, Eder T. [PETROBRAS, Rio de Janeiro, RJ (Brazil); Shah, Nilay [Imperial College, London (United Kingdom)

2004-07-01

This work addresses the refinery scheduling problem using mathematical programming techniques. The solution adopted was to decompose the entire refinery model into a crude oil scheduling and a product scheduling problem. The envelope for the crude oil scheduling problem is composed of a terminal, a pipeline and the crude area of a refinery, including the crude distillation units. The solution method adopted includes a decomposition technique based on the topology of the system. The envelope for the product scheduling comprises all tanks, process units and products found in a refinery. Once crude scheduling decisions are Also available the product scheduling is solved using a rolling horizon algorithm. All models were tested with real data from PETROBRAS' REFAP refinery, located in Canoas, Southern Brazil. (author)

Scheduling in Heterogeneous Grid Environments: The Effects of DataMigration

Energy Technology Data Exchange (ETDEWEB)

Oliker, Leonid; Biswas, Rupak; Shan, Hongzhang; Smith, Warren

2004-01-01

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. However, a number of major technical hurdles must be overcome before this goal can be fully realized. One problem critical to the effective utilization of computational grids is efficient job scheduling. Our prior work addressed this challenge by defining a grid scheduling architecture and several job migration strategies. The focus of this study is to explore the impact of data migration under a variety of demanding grid conditions. We evaluate our grid scheduling algorithms by simulating compute servers, various groupings of servers into sites, and inter-server networks, using real workloads obtained from leading supercomputing centers. Several key performance metrics are used to compare the behavior of our algorithms against reference local and centralized scheduling schemes. Results show the tremendous benefits of grid scheduling, even in the presence of input/output data migration - while highlighting the importance of utilizing communication-aware scheduling schemes.

Job shop scheduling with makespan objective: A heuristic approach

Directory of Open Access Journals (Sweden)

Mohsen Ziaee

2014-04-01

Full Text Available Job shop has been considered as one of the most challenging scheduling problems and there are literally tremendous efforts on reducing the complexity of solution procedure for solving job shop problem. This paper presents a heuristic method to minimize makespan for different jobs in a job shop scheduling. The proposed model is based on a constructive procedure to obtain good quality schedules, very quickly. The performance of the proposed model of this paper is examined on standard benchmarks from the literature in order to evaluate its performance. Computational results show that, despite its simplicity, the proposed heuristic is computationally efficient and practical approach for the problem.

A Reconfigured Whale Optimization Technique (RWOT for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt

Directory of Open Access Journals (Sweden)

Noha H. El-Amary

2018-03-01

Full Text Available This paper studies the effect on the rate of growth of carbon dioxide emission in seaports’ atmosphere of replacing a part of the fossil fuel electrical power generation by clean renewable electrical energies, through two different scheduling strategies. The increased rate of harmful greenhouse gas emissions due to conventional electrical power generation severely affects the whole global atmosphere. Carbon dioxide and other greenhouse gases emissions are responsible for a significant share of global warming. Developing countries participate in this environmental distortion to a great percentage. Two different suggested strategies for renewable electrical energy scheduling are discussed in this paper, to attain a sustainable green port by the utilization of two mutual sequential clean renewable energies, which are biomass and photovoltaic (PV energy. The first strategy, which is called the eco-availability mode, is a simple method. It is based on operating the renewable electrical energy sources during the available time of operation, taking into consideration the simple and basic technical issues only, without considering the sophisticated technical and economical models. The available operation time is determined by the environmental condition. This strategy is addressed to result on the maximum available Biomass and PV energy generation based on the least environmental and technical conditions (panel efficiency, minimum average daily sunshine hours per month, minimum average solar insolation per month. The second strategy, which is called the Intelligent Scheduling (IS mode, relies on an intelligent Reconfigured Whale Optimization Technique (RWOT based-model. In this strategy, some additional technical and economical issues are considered. The studied renewable electrical energy generation system is considered in two scenarios, which are with and without storage units. The objective (cost function of the scheduling optimization problem, for

The effect of economic factors and energy efficiency programs on residential electricity consumption

Science.gov (United States)

Sakai, Mihoko

Many countries have implemented policies to correct market and behavioral failures that lead to inefficient energy use. It is important to know what factors and policies can effectively overcome such failures and improve energy efficiency; however, a comprehensive analysis has been difficult because of data limitations. Using state scores compiled by American organizations recently, and adopting fixed-effects regression models, I analyze the joint impacts of relevant factors and policy programs on residential electricity consumption in each U.S. state. The empirical results reveal that increases in electricity price have small and negative effects, and increases in personal income have positive effects on residential electricity sales per capita (a measure of energy efficiency). The results suggest that it may take time for economic factors to affect electricity sales. The effects of personal income suggest the difficulty of controlling residential electricity consumption; however, they also imply that there is some room in households to reduce electricity use. The study also finds that programs and budgets of several policies seem to be associated with electricity sales. The estimates from a model including interaction terms suggest the importance of including multiple policies when analyzing and designing policies to address electricity efficiency. The results also imply the possibility of rebound effects of some policies, whereby improvements in energy efficiency lead to increases in energy consumption due to the associated lower per unit cost. Future studies should analyze both short-term and long-term effects of economic factors and policies, based on improved and accumulated time series and panel data, in order to design more effective policies for improving residential electricity efficiency.

Algorithm of composing the schedule of construction and installation works

Science.gov (United States)

Nehaj, Rustam; Molotkov, Georgij; Rudchenko, Ivan; Grinev, Anatolij; Sekisov, Aleksandr

2017-10-01

An algorithm for scheduling works is developed, in which the priority of the work corresponds to the total weight of the subordinate works, the vertices of the graph, and it is proved that for graphs of the tree type the algorithm is optimal. An algorithm is synthesized to reduce the search for solutions when drawing up schedules of construction and installation works, allocating a subset with the optimal solution of the problem of the minimum power, which is determined by the structure of its initial data and numerical values. An algorithm for scheduling construction and installation work is developed, taking into account the schedule for the movement of brigades, which is characterized by the possibility to efficiently calculate the values of minimizing the time of work performance by the parameters of organizational and technological reliability through the use of the branch and boundary method. The program of the computational algorithm was compiled in the MatLAB-2008 program. For the initial data of the matrix, random numbers were taken, uniformly distributed in the range from 1 to 100. It takes 0.5; 2.5; 7.5; 27 minutes to solve the problem. Thus, the proposed method for estimating the lower boundary of the solution is sufficiently accurate and allows efficient solution of the minimax task of scheduling construction and installation works.

Economic Efficiency of Innovative Materials for Sectors of Economy

Directory of Open Access Journals (Sweden)

Miroshnikova Tatyana

2016-01-01

Full Text Available The paper proposes an approach to the assessment of the economic efficiency of innovative anti-corrosion coatings for sectors of the national economy of the Russia on the basis of a synthesis of strategic sectoral and cost analysis. According to the authors, a comparative analysis of composite polymeric anticorrosion protecting coatings with similar products, estimating of direct and indirect economic effect and prognosis of implementation, forms a deeper understanding of the role of innovative technologies in the Russian state development of import substitution, the investment attractiveness of Russian industries in the new part technologies, applied research activities of private companies. Metal consumption sectors of the economy were chosen as an object of research, as they are characterized by the use of the following products: industrial construction and reconstruction, nuclear and thermal power, chemical, oil and gas, utilities, food processing, automotive, shipbuilding, aviation and rocket science, other industry. Basic modeling of implementation of anticorrosion protecting coatings in industrial enterprises was carried out on the basis of generating energy enterprises as one of the main end-users of anti-corrosive materials that also issue accurate statements.

Health economics, equity, and efficiency: are we almost there?

Directory of Open Access Journals (Sweden)

Ferraz MB

2015-02-01

Full Text Available Marcos Bosi Ferraz1,21Department of Medicine, Escola Paulista de Medicina, Federal University of São Paulo, São Paulo, Brazil; 2São Paulo Center for Health Economics (GRIDES, Escola Paulista de Medicina, Federal University of São Paulo, São Paulo, Brazil Abstract: Health care is a highly complex, dynamic, and creative sector of the economy. While health economics has to continue its efforts to improve its methods and tools to better inform decisions, the application needs to be aligned with the insights and models of other social sciences disciplines. Decisions may be guided by four concept models based on ethical and distributive justice: libertarian, communitarian, egalitarian, and utilitarian. The societal agreement on one model or a defined mix of models is critical to avoid inequity and unfair decisions in a public and/or private insurance-based health care system. The excess use of methods and tools without fully defining the basic goals and philosophical principles of the health care system and without evaluating the fitness of these measures to reaching these goals may not contribute to an efficient improvement of population health. Keywords: health care, health care system, population health

The efficiency frontier approach to economic evaluation of health-care interventions.

Science.gov (United States)

Caro, J Jaime; Nord, Erik; Siebert, Uwe; McGuire, Alistair; McGregor, Maurice; Henry, David; de Pouvourville, Gérard; Atella, Vincenzo; Kolominsky-Rabas, Peter

2010-10-01

IQWiG commissioned an international panel of experts to develop methods for the assessment of the relation of benefits to costs in the German statutory health-care system. The panel recommended that IQWiG inform German decision makers of the net costs and value of additional benefits of an intervention in the context of relevant other interventions in that indication. To facilitate guidance regarding maximum reimbursement, this information is presented in an efficiency plot with costs on the horizontal axis and value of benefits on the vertical. The efficiency frontier links the interventions that are not dominated and provides guidance. A technology that places on the frontier or to the left is reasonably efficient, while one falling to the right requires further justification for reimbursement at that price. This information does not automatically give the maximum reimbursement, as other considerations may be relevant. Given that the estimates are for a specific indication, they do not address priority setting across the health-care system. This approach informs decision makers about efficiency of interventions, conforms to the mandate and is consistent with basic economic principles. Empirical testing of its feasibility and usefulness is required.

After-installation service, a contribution to enhanced economic efficiency of reactors

International Nuclear Information System (INIS)

Bilger, H.

1996-01-01

After-installation service agreements are concluded in general for the following plant systems or tasks: power operation, inspection and repair during outages, plant enhancements (retrofitting), instrumentation and control (software). The paper gives various examples selected from power plant practice in Germany, showing that service contracts are a major factor contributing to maintaining economic efficiency, or enhancing it. Examples of nuclear power plant management abroad relying on service contracts are also given (USA, France, Japan). (orig./HP) [de

Scheduling of Conditional Process Graphs for the Synthesis of Embedded Systems

DEFF Research Database (Denmark)

Eles, Petru; Kuchcinski, Krzysztof; Peng, Zebo

1998-01-01

We present an approach to process scheduling based on an abstract graph representation which captures both dataflow and the flow of control. Target architectures consist of several processors, ASICs and shared busses. We have developed a heuristic which generates a schedule table so that the worst...... case delay is minimized. Several experiments demonstrate the efficiency of the approach....

Study on degrading graphene oxide in wastewater under different conditions for developing an efficient and economical degradation method.

Science.gov (United States)

Li, Ting; Zhang, Chao-Zhi; Gu, Chengyue

2017-12-01

With popular application of graphene and graphene oxide (GO), they have been discharged into water. Graphene and GO harm organisms. However, an efficient and economical method for removing graphene and GO in wastewater has seldom been reported. Graphene can be oxidized by hydrogen peroxide to give GO; therefore, degradation of graphene oxide is an important step in the procedure of removal of graphene from water. In this paper, GO degradation via photo-Fenton reaction under different conditions was carried out. Experimental results suggested that GO in wastewater can be efficiently and economically degraded into carbon dioxide and H 2 O when pH value is 3, concentration of H 2 O 2 and FeCl 3 are 35 mM and 5 ppm, respectively. Degradation mechanism of GO was suggested based on UV-vis absorption spectra, scanning electron microscopy, X-ray diffraction and liquid chromatography-mass spectra data of degradation intermediates. This paper suggests an efficient and economical degradation way of GO in wastewater.

An Improved Recovery Algorithm for Decayed AES Key Schedule Images

Science.gov (United States)

Tsow, Alex

A practical algorithm that recovers AES key schedules from decayed memory images is presented. Halderman et al. [1] established this recovery capability, dubbed the cold-boot attack, as a serious vulnerability for several widespread software-based encryption packages. Our algorithm recovers AES-128 key schedules tens of millions of times faster than the original proof-of-concept release. In practice, it enables reliable recovery of key schedules at 70% decay, well over twice the decay capacity of previous methods. The algorithm is generalized to AES-256 and is empirically shown to recover 256-bit key schedules that have suffered 65% decay. When solutions are unique, the algorithm efficiently validates this property and outputs the solution for memory images decayed up to 60%.

CQPSO scheduling algorithm for heterogeneous multi-core DAG task model

Science.gov (United States)

Zhai, Wenzheng; Hu, Yue-Li; Ran, Feng

2017-07-01

Efficient task scheduling is critical to achieve high performance in a heterogeneous multi-core computing environment. The paper focuses on the heterogeneous multi-core directed acyclic graph (DAG) task model and proposes a novel task scheduling method based on an improved chaotic quantum-behaved particle swarm optimization (CQPSO) algorithm. A task priority scheduling list was built. A processor with minimum cumulative earliest finish time (EFT) was acted as the object of the first task assignment. The task precedence relationships were satisfied and the total execution time of all tasks was minimized. The experimental results show that the proposed algorithm has the advantage of optimization abilities, simple and feasible, fast convergence, and can be applied to the task scheduling optimization for other heterogeneous and distributed environment.

Efficient Feasibility Analysis for Real-Time Systems with EDF Scheduling

OpenAIRE

Albers , Karsten; Slomka , Frank

2005-01-01

Submitted on behalf of EDAA (http://www.edaa.com/); International audience; This paper presents new fast exact feasibility tests for uniprocessor real-time systems using preemptive EDF scheduling. Task sets which are accepted by previously described sufficient tests will be evaluated in nearly the same time as with the old tests by the new algorithms. Many task sets are not accepted by the earlier tests despite them beeing feasible. These task sets will be evaluated by the new algorithms a lo...

Hepatitis B vaccination in prison with a 3-week schedule is more efficient than the standard 6-month schedule

DEFF Research Database (Denmark)

Christensen, Peer B; Fisker, Niels; Krarup, Henrik B

2004-01-01

A randomized study of injecting drug users in a Danish prison comparing vaccination at 0, 1 and 3 weeks with the 0, 1 and 6 months schedule (20microg Engerix B i.m.) was conducted. Due to a low participation rate, a second nonrandomized study was conducted in Estonia where all prisoners were vacc...

EFFICIENCY OF EDUCATIONAL INNOVATIVE TECHNIQUES IN TEACHING FINANCIAL AND ECONOMIC DISCIPLINES (BASED ON SOCIAL RESEARCH

Directory of Open Access Journals (Sweden)

Irina Konstantinovna Bitkina

2013-11-01

Full Text Available Importance of the presented study consists in need of the introduction innovation educational technology when teaching in high educational institutions. Objectivity specified need you-is the Russian system of the higher education called by turning on standards within the framework of Bolognaagreement. Existing in persisting time scientific studies and practical developments in incomplete measure touch in-ask, concerning using educational innovation technology in the field of teaching social-humanitarian sciences, including coursesfinancial-economic profile. Considering aforesaid, purpose persisting studies is a development of the methodical approach to estimation of efficiency of the using educational innovation and proving of the directions on improvement of their use in high school thrifty persons of the profile when learning student discipline to specialization. In the course of undertaking the study were used methods of the collection and processing statistical and sociological information, summeries and groups got data, quantitative estimation to efficiency applicable technology. The Results of the study touch the methodical questions of the estimation to efficiency educational innovation in high school financial-economic profile and practical aspects of their use when teaching of discipline to specialization beside student.Purpose: development methodical approach educational innovation estimation and proving ways of improving using educational innovation in the economical universities.Methodology: statistical summary, statistical grouping, sociological questioning, effectivity estimation, comparative analyses.Results:1 ways of effectivity estimation educational innovation using were revealed;2 the practical recommendation for improving using educational innovation  were proved.Practical implications: educational activity in the socio-economical higher institutions.DOI: http://dx.doi.org/10.12731/2218-7405-2013-8-37

An UAV scheduling and planning method for post-disaster survey

Science.gov (United States)

Li, G. Q.; Zhou, X. G.; Yin, J.; Xiao, Q. Y.

2014-11-01

Annually, the extreme climate and special geological environments lead to frequent natural disasters, e.g., earthquakes, floods, etc. The disasters often bring serious casualties and enormous economic losses. Post-disaster surveying is very important for disaster relief and assessment. As the Unmanned Aerial Vehicle (UAV) remote sensing with the advantage of high efficiency, high precision, high flexibility, and low cost, it is widely used in emergency surveying in recent years. As the UAVs used in emergency surveying cannot stop and wait for the happening of the disaster, when the disaster happens the UAVs usually are working at everywhere. In order to improve the emergency surveying efficiency, it is needed to track the UAVs and assign the emergency surveying task for each selected UAV. Therefore, a UAV tracking and scheduling method for post-disaster survey is presented in this paper. In this method, Global Positioning System (GPS), and GSM network are used to track the UAVs; an emergency tracking UAV information database is built in advance by registration, the database at least includes the following information, e.g., the ID of the UAVs, the communication number of the UAVs; when catastrophe happens, the real time location of all UAVs in the database will be gotten using emergency tracking method at first, then the traffic cost time for all UAVs to the disaster region will be calculated based on the UAVs' the real time location and the road network using the nearest services analysis algorithm; the disaster region is subdivided to several emergency surveying regions based on DEM, area, and the population distribution map; the emergency surveying regions are assigned to the appropriated UAV according to shortest cost time rule. The UAVs tracking and scheduling prototype is implemented using SQLServer2008, ArcEnginge 10.1 SDK, Visual Studio 2010 C#, Android, SMS Modem, and Google Maps API.

OPTICAL FIBER SENSOR TECHNOLOGIES FOR EFFICIENT AND ECONOMICAL OIL RECOVERY

Energy Technology Data Exchange (ETDEWEB)

Anbo Wang; Kristie L. Cooper; Gary R. Pickrell

2003-06-01

Efficient recovery of petroleum reserves from existing oil wells has been proven to be difficult due to the lack of robust instrumentation that can accurately and reliably monitor processes in the downhole environment. Commercially available sensors for measurement of pressure, temperature, and fluid flow exhibit shortened lifetimes in the harsh downhole conditions, which are characterized by high pressures (up to 20 kpsi), temperatures up to 250 C, and exposure to chemically reactive fluids. Development of robust sensors that deliver continuous, real-time data on reservoir performance and petroleum flow pathways will facilitate application of advanced recovery technologies, including horizontal and multilateral wells. This is the final report for the four-year program ''Optical Fiber Sensor Technologies for Efficient and Economical Oil Recovery'', funded by the National Petroleum Technology Office of the U.S. Department of Energy, and performed by the Center for Photonics Technology of the Bradley Department of Electrical and Computer Engineering at Virginia Tech from October 1, 1999 to March 31, 2003. The main objective of this research program was to develop cost-effective, reliable optical fiber sensor instrumentation for real-time monitoring of various key parameters crucial to efficient and economical oil production. During the program, optical fiber sensors were demonstrated for the measurement of temperature, pressure, flow, and acoustic waves, including three successful field tests in the Chevron/Texaco oil fields in Coalinga, California, and at the world-class oil flow simulation facilities in Tulsa, Oklahoma. Research efforts included the design and fabrication of sensor probes, development of signal processing algorithms, construction of test systems, development and testing of strategies for the protection of optical fibers and sensors in the downhole environment, development of remote monitoring capabilities allowing real

A Methodology for the Estimation of the Wind Generator Economic Efficiency

Science.gov (United States)

Zaleskis, G.

2017-12-01

Integration of renewable energy sources and the improvement of the technological base may not only reduce the consumption of fossil fuel and environmental load, but also ensure the power supply in regions with difficult fuel delivery or power failures. The main goal of the research is to develop the methodology of evaluation of the wind turbine economic efficiency. The research has demonstrated that the electricity produced from renewable sources may be much more expensive than the electricity purchased from the conventional grid.

A manpower scheduling heuristic for aircraft maintenance application

Science.gov (United States)

Sze, San-Nah; Sze, Jeeu-Fong; Chiew, Kang-Leng

2012-09-01

This research studies a manpower scheduling for aircraft maintenance, focusing on in-flight food loading operation. A group of loading teams with flexible shifts is required to deliver and upload packaged meals from the ground kitchen to aircrafts in multiple trips. All aircrafts must be served within predefined time windows. The scheduling process takes into account of various constraints such as meal break allocation, multi-trip traveling and food exposure time limit. Considering the aircrafts movement and predefined maximum working hours for each loading team, the main objective of this study is to form an efficient roster by assigning a minimum number of loading teams to the aircrafts. We proposed an insertion based heuristic to generate the solutions in a short period of time for large instances. This proposed algorithm is implemented in various stages for constructing trips due to the presence of numerous constraints. The robustness and efficiency of the algorithm is demonstrated in computational results. The results show that the insertion heuristic more efficiently outperforms the company's current practice.

Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks

OpenAIRE

Chih-Yu Wen; Ying-Chih Chen

2009-01-01

This paper presents two scheduling management schemes for wireless sensor networks, which manage the sensors by utilizing the hierarchical network structure and allocate network resources efficiently. A local criterion is used to simultaneously establish the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. The proposed schemes are simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show t...

Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

Energy Technology Data Exchange (ETDEWEB)

Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-05-23

This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

The impact of economic growth on environmental efficiency of the electricity sector: A hybrid window DEA methodology for the USA.

Science.gov (United States)

Halkos, George E; Polemis, Michael L

2018-04-01

This paper estimates the efficiency of the power generation sector in the USA by using Window Data Envelopment Analysis (W-DEA). We integrate radial and non-radial efficiency measurements in DEA using the hybrid measure while we extend the proposed model by considering good and undesirable outputs as separable and non separable. Then in the second stage, we perform parametric and non-parametric econometric techniques in order to model the relationship between the calculated environmental efficiencies and economic growth in attaining sustainability. Our empirical findings indicate a stable N-shape relationship between environmental efficiency and regional economic growth in the case of global and total pollutants but an inverted N-shape in the case of local pollutants. This implies that attention is required when considering local and global pollutants and the extracted environmental efficiency scores. A clear message to policy makers and government officials is that climate change which calls for economic, environmental and social concern should be analyzed according to its dispersion and regional dimension. Copyright © 2018 Elsevier Ltd. All rights reserved.

Gender discrepancies in the outcomes of schedule control on overtime hours and income in Germany

OpenAIRE

Lott, Yvonne; Chung, Heejung

2016-01-01

Schedule control can have both positive – e.g., increased income – but also negative outcomes – e.g., increased overtime. Here our core interest is whether there are gender discrepancies in these outcomes. Given the different ways in which schedule control can be used, and perceived to be used by men and women, their outcomes are also expected to be different. This is examined using the German Socio-Economic Panel Study (2003-2011), and panel regression models. The results show that schedule ...

SOFIA's Choice: Automating the Scheduling of Airborne Observations

Science.gov (United States)

Frank, Jeremy; Norvig, Peter (Technical Monitor)

1999-01-01

This paper describes the problem of scheduling observations for an airborne telescope. Given a set of prioritized observations to choose from, and a wide range of complex constraints governing legitimate choices and orderings, how can we efficiently and effectively create a valid flight plan which supports high priority observations? This problem is quite different from scheduling problems which are routinely solved automatically in industry. For instance, the problem requires making choices which lead to other choices later, and contains many interacting complex constraints over both discrete and continuous variables. Furthermore, new types of constraints may be added as the fundamental problem changes. As a result of these features, this problem cannot be solved by traditional scheduling techniques. The problem resembles other problems in NASA and industry, from observation scheduling for rovers and other science instruments to vehicle routing. The remainder of the paper is organized as follows. In 2 we describe the observatory in order to provide some background. In 3 we describe the problem of scheduling a single flight. In 4 we compare flight planning and other scheduling problems and argue that traditional techniques are not sufficient to solve this problem. We also mention similar complex scheduling problems which may benefit from efforts to solve this problem. In 5 we describe an approach for solving this problem based on research into a similar problem, that of scheduling observations for a space-borne probe. In 6 we discuss extensions of the flight planning problem as well as other problems which are similar to flight planning. In 7 we conclude and discuss future work.

Elastic Scheduling of Scientific Workflows under Deadline Constraints in Cloud Computing Environments

Directory of Open Access Journals (Sweden)

Nazia Anwar

2018-01-01

Full Text Available Scientific workflow applications are collections of several structured activities and fine-grained computational tasks. Scientific workflow scheduling in cloud computing is a challenging research topic due to its distinctive features. In cloud environments, it has become critical to perform efficient task scheduling resulting in reduced scheduling overhead, minimized cost and maximized resource utilization while still meeting the user-specified overall deadline. This paper proposes a strategy, Dynamic Scheduling of Bag of Tasks based workflows (DSB, for scheduling scientific workflows with the aim to minimize financial cost of leasing Virtual Machines (VMs under a user-defined deadline constraint. The proposed model groups the workflow into Bag of Tasks (BoTs based on data dependency and priority constraints and thereafter optimizes the allocation and scheduling of BoTs on elastic, heterogeneous and dynamically provisioned cloud resources called VMs in order to attain the proposed method’s objectives. The proposed approach considers pay-as-you-go Infrastructure as a Service (IaaS clouds having inherent features such as elasticity, abundance, heterogeneity and VM provisioning delays. A trace-based simulation using benchmark scientific workflows representing real world applications, demonstrates a significant reduction in workflow computation cost while the workflow deadline is met. The results validate that the proposed model produces better success rates to meet deadlines and cost efficiencies in comparison to adapted state-of-the-art algorithms for similar problems.

Industrial energy efficiency: Interdisciplinary perspectives on the thermodynamic, technical and economic constraints

OpenAIRE

McKenna, Russell

2009-01-01

Overreliance on energy from fossil fuels is unsustainable because of their regional depletion and associated environmental impacts. The British industrial sector accounts for around one fifth of final energy demand and one third of carbon emissions nationally. This thesis attempts to quantify the potential for industrial energy efficiency from the current baseline, by adopting thermodynamic and economic perspectives. The methodology involves a top-down analysis of energy trends within the man...

ANALYSIS OF INFLUENCE FACTORS OF ECONOMIC EFFICIENCY ON THE ECONOMY OF THE INTEGRATED STRUCTURES

Directory of Open Access Journals (Sweden)

I. P. Bogomolova

2014-01-01

Full Text Available Currently in Russia, special attention is paid to the food industry, providing a key influence on the state's economy and food security of the country. The food industry not only creates substantial part of the gross domestic product, which is one of the main sources of fillings budgets of all levels, and contributes to the strengthening of the state in world markets. These circum-stances make it necessary to increase the efficiency of industrial structures by mobilizing factors affecting the economy of enterprises, including by shifting emphasis on the integration of food industry enterprises in General competitiveness of the goods produced, the stability of the entire industry, its leading industries and organizations. The article substantiates the expediency of application of integrated structures, discusses the methods and tools of analysis of influence factors of economic efficiency on the economy of inte-grated structures. Evaluation is recommended in two key areas: assessment of the financial condition and evaluation of training and development of staff, taking into account the strategic objectives of integrated structures. The analysis makes it possible to correctly allocate financial resources and to achieve balanced economic performance management through more effective use of credit re-sources, the rational management of economic parameters optimization of the number of employees and production capacity.

Surgical scheduling: a lean approach to process improvement.

Science.gov (United States)

Simon, Ross William; Canacari, Elena G

2014-01-01

A large teaching hospital in the northeast United States had an inefficient, paper-based process for scheduling orthopedic surgery that caused delays and contributed to site/side discrepancies. The hospital's leaders formed a team with the goals of developing a safe, effective, patient-centered, timely, efficient, and accurate orthopedic scheduling process; smoothing the schedule so that block time was allocated more evenly; and ensuring correct site/side. Under the resulting process, real-time patient information is entered into a database during the patient's preoperative visit in the surgeon's office. The team found the new process reduced the occurrence of site/side discrepancies to zero, reduced instances of changing the sequence of orthopedic procedures by 70%, and increased patient satisfaction. Copyright © 2014 AORN, Inc. Published by Elsevier Inc. All rights reserved.

Nonstrict vector simulation in multi-operation scheduling

NARCIS (Netherlands)

Sevastianov, S.V.

1995-01-01

We consider several multi??operation scheduling problems with m machines and n jobs??, including fl??ow shop??, open shop,?? assembly line,?? and a few special cases of job shop with the makespan criterion. It is demonstrated that the problems in question can be effi??ciently solved by approximation

THE ECONOMIC EFFICIENCY OF THE INTEGRATED SYSTEM OF PROTECTION OF WHITE CABBAGE

Directory of Open Access Journals (Sweden)

B. U. Misrieva

2017-01-01

Full Text Available The climatic conditions of the Derbent district of the Republic of Dagestan are favorable for seed-growing cabbage of white-cabbage and other varieties by a nonstop method. In the complex of measures to increase the efficiency of production of cabbage seeds, pest and disease control  plays an important  role. The article proves the application of a new approach to the protection system of testes of white cabbage. On the basis of long-term phytosanitary   monitoring   and   biocenotic   principles, which  allow differentiating  the use of  protective  equipment in each specific case, an integrated system of protection of testes of cabbage from the main pests in the conditions  of the south of Russia has been developed. New progressive methods in the implementation of basic technological  processes are economically justified.  The introduction of the system ensured a significant increase in the yield of testes of white cabbage and the profitability of  seed production.  For each ruble of  expenses for crop protection, 8.1 rubles of additional income was received. Applied in FIC VNIIR AES testicles of cabbage allowed  to  harvest 190 kg of  additional  yield of  hybrid seeds from each hectare. The amount of realization of the additional harvest was 114,000 rubles. The recoupment of  costs  in  terms  of  the  ruble  costs  is  29.5  rubles. Reducing the  pesticide  load on  agrocenosis, yielded a yield with good quality characteristics. The difference in germination was 5-6% higher when using satellites. The fulfillment of the seeds also depended on the protection system. Thus, the mass of 1000 seeds when using the AES of testes of cabbage in the F1 Hybrid Extra was 4.68 g, while the schedule of treatment was 3.83 g.

Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments

Directory of Open Access Journals (Sweden)

Kairong Duan

2018-05-01

Full Text Available Cloud computing is a new commercial model that enables customers to acquire large amounts of virtual resources on demand. Resources including hardware and software can be delivered as services and measured by specific usage of storage, processing, bandwidth, etc. In Cloud computing, task scheduling is a process of mapping cloud tasks to Virtual Machines (VMs. When binding the tasks to VMs, the scheduling strategy has an important influence on the efficiency of datacenter and related energy consumption. Although many traditional scheduling algorithms have been applied in various platforms, they may not work efficiently due to the large number of user requests, the variety of computation resources and complexity of Cloud environment. In this paper, we tackle the task scheduling problem which aims to minimize makespan by Genetic Algorithm (GA. We propose an incremental GA which has adaptive probabilities of crossover and mutation. The mutation and crossover rates change according to generations and also vary between individuals. Large numbers of tasks are randomly generated to simulate various scales of task scheduling problem in Cloud environment. Based on the instance types of Amazon EC2, we implemented virtual machines with different computing capacity on CloudSim. We compared the performance of the adaptive incremental GA with that of Standard GA, Min-Min, Max-Min , Simulated Annealing and Artificial Bee Colony Algorithm in finding the optimal scheme. Experimental results show that the proposed algorithm can achieve feasible solutions which have acceptable makespan with less computation time.

Efficiency and economic benefits of skipjack pole and line (huhate) in central Moluccas, Indonesia

Science.gov (United States)

Siahainenia, Stevanus M.; Hiariey, Johanis; Baskoro, Mulyono S.; Waeleruny, Wellem

2017-10-01

Excess fishing capacity is a crucial problem in marine capture fisheries. This phenomenon needed to be investigated regarding sustainability and development of the fishery. This research was aimed at analyzing technical efficiency (TE) and computing financial aspects of the skipjack pole and line. Primary data were collected from the owners of the fishing units at the different size of gross boat tonnage (GT), while secondary data were gathered from official publications relating to this research. Data envelopment analysis (DEA) approach was applied to estimate technical efficiency whereas a selected financial analysis was utilized to calculate economic benefits of the skipjack pole and line business. The fishing units with a size of 26-30 GT provided a higher TE value, and also achieved larger economic benefit values than that of the other fishing units. The empirical results indicate that skipjack pole and line in the size of 26-30 GT is a good fishing gear for the business development in central Moluccas.

Comment on “Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution” by K.K. Mandal and N. Chakaborty [Energy Convers. Manage. 50 (2009) 97–104

International Nuclear Information System (INIS)

Ahmadi, Abdollah; Nezhad, Ali Esmaeel

2015-01-01

This paper discusses the short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs [Energy Convers Manage. 50 (2009) 97–104], while differential evolution algorithm has been employed to solve the optimization problem. However, this problem is subjected to several constraints like the generation limitations of generating units. The solutions reported in the original paper do not satisfy the constraint on the initial and final reservoir storage volumes of hydro units as well as the constraint on the generated power by such units, which should be positive at any time of the scheduling period. Thus, this paper intends to prove this issue and solve the problem using Normal Boundary Intersection (NBI) method, in order to propose the correct solutions satisfying all the constraints of the short-term hydrothermal scheduling problem

Multi-Satellite Observation Scheduling for Large Area Disaster Emergency Response

Science.gov (United States)

Niu, X. N.; Tang, H.; Wu, L. X.

2018-04-01

an optimal imaging plan, plays a key role in coordinating multiple satellites to monitor the disaster area. In the paper, to generate imaging plan dynamically according to the disaster relief, we propose a dynamic satellite task scheduling method for large area disaster response. First, an initial robust scheduling scheme is generated by a robust satellite scheduling model in which both the profit and the robustness of the schedule are simultaneously maximized. Then, we use a multi-objective optimization model to obtain a series of decomposing schemes. Based on the initial imaging plan, we propose a mixed optimizing algorithm named HA_NSGA-II to allocate the decomposing results thus to obtain an adjusted imaging schedule. A real disaster scenario, i.e., 2008 Wenchuan earthquake, is revisited in terms of rapid response using satellite resources and used to evaluate the performance of the proposed method with state-of-the-art approaches. We conclude that our satellite scheduling model can optimize the usage of satellite resources so as to obtain images in disaster response in a more timely and efficient manner.

An Improved Genetic Algorithm for Single-Machine Inverse Scheduling Problem

Directory of Open Access Journals (Sweden)

Jianhui Mou

2014-01-01

Full Text Available The goal of the scheduling is to arrange operations on suitable machines with optimal sequence for corresponding objectives. In order to meet market requirements, scheduling systems must own enough flexibility against uncertain events. These events can change production status or processing parameters, even causing the original schedule to no longer be optimal or even to be infeasible. Traditional scheduling strategies, however, cannot cope with these cases. Therefore, a new idea of scheduling called inverse scheduling has been proposed. In this paper, the inverse scheduling with weighted completion time (SMISP is considered in a single-machine shop environment. In this paper, an improved genetic algorithm (IGA with a local searching strategy is proposed. To improve the performance of IGA, efficient encoding scheme, fitness evaluation mechanism, feasible initialization methods, and a local search procedure have been employed in the paper. Because of the local improving method, the proposed IGA can balance its exploration ability and exploitation ability. We adopt 27 instances to verify the effectiveness of the proposed algorithm. The experimental results illustrated that the proposed algorithm can generate satisfactory solutions. This approach also has been applied to solve the scheduling problem in the real Chinese shipyard and can bring some benefits.

An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem

International Nuclear Information System (INIS)

Yuan, Xiaohui; Ji, Bin; Yuan, Yanbin; Ikram, Rana M.; Zhang, Xiaopan; Huang, Yuehua

2015-01-01

Highlights: • Thermal unit commitment is considered in hydrothermal generation scheduling (SHTGS). • Two newly proposed promising optimization algorithms are combined to solving SHTGS. • The proposed method is enhanced by integrating a chaotic local search strategy. • Heuristic search strategies are applied to handle the constraints of the SHTGS. • The results verify the proposed method is feasible and efficient for handling SHTGS. - Abstract: This paper establishes a model to deal with the short-term hydrothermal generation scheduling (SHTGS) problem. The problem is composed of three interconnected parts: short-term hydrothermal coordination, thermal unit commitment and economic load dispatch. An efficient hybrid method composed of chaotic backtracking search optimization algorithm and binary charged system search algorithm (CBSA–BCSS) is proposed to solve this problem. In order to analyze the effect of the chaotic map on the performance of the method, three different chaotic maps are adopted to integrate into the proposed method and the corresponding consequences are achieved. Furthermore, efficient heuristic search strategies are adopted to handle with the complicated constraints of the SHTGS system. Finally, a hydrothermal unit commitment system is utilized to verify the feasibility and effectiveness of the proposed method. The results demonstrate the efficiency of the hybrid optimization method and the appropriation of the constraint handling strategies. The comparison of the solutions achieved by different methods shows that the proposed method has higher efficiency in terms of solving SHTGS problem

[Grounding public health policies in ethics and economic efficiency. SESPAS report 2010].

Science.gov (United States)

Ramiro Avilés, Miguel A; Lobo, Félix

2010-12-01

In recent times, various voices in Spain have questioned public health policies as an assault to personal freedom. The present article aims to respond to these voices with ethical and economic arguments. The scope and characteristics of this current of opinion are described. Then, starting with John Stuart Mill, the ethical principles of non-maleficence, beneficence, personal autonomy and justice, as well as related concepts taken from economic efficiency, such as externalities, monopoly, incomplete and asymmetric information, agency relationship, public goods and adverse selection, are discussed. A short mention is made of equity in economics, the welfare state and public health systems. The justification for paternalist actions by the state, as well as limits to these actions, are briefly discussed. Respect for individual freedom does not exclude the implementation of public health actions but rather demands the adoption of such policies. If these actions comply with certain conditions, they do not limit individual freedom but rather serve to protect it. Copyright © 2010 SESPAS. Published by Elsevier Espana. All rights reserved.

Hypergraph+: An Improved Hypergraph-Based Task-Scheduling Algorithm for Massive Spatial Data Processing on Master-Slave Platforms

Directory of Open Access Journals (Sweden)

Bo Cheng

2016-08-01

Full Text Available Spatial data processing often requires massive datasets, and the task/data scheduling efficiency of these applications has an impact on the overall processing performance. Among the existing scheduling strategies, hypergraph-based algorithms capture the data sharing pattern in a global way and significantly reduce total communication volume. Due to heterogeneous processing platforms, however, single hypergraph partitioning for later scheduling may be not optimal. Moreover, these scheduling algorithms neglect the overlap between task execution and data transfer that could further decrease execution time. In order to address these problems, an extended hypergraph-based task-scheduling algorithm, named Hypergraph+, is proposed for massive spatial data processing. Hypergraph+ improves upon current hypergraph scheduling algorithms in two ways: (1 It takes platform heterogeneity into consideration offering a metric function to evaluate the partitioning quality in order to derive the best task/file schedule; and (2 It can maximize the overlap between communication and computation. The GridSim toolkit was used to evaluate Hypergraph+ in an IDW spatial interpolation application on heterogeneous master-slave platforms. Experiments illustrate that the proposed Hypergraph+ algorithm achieves on average a 43% smaller makespan than the original hypergraph scheduling algorithm but still preserves high scheduling efficiency.

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks

Directory of Open Access Journals (Sweden)

Mihai-Victor Micea

2017-06-01

Full Text Available Sensor networks become increasingly a key technology for complex control applications. Their potential use in safety- and time-critical domains has raised the need for task scheduling mechanisms specially adapted to sensor node specific requirements, often materialized in predictable jitter-less execution of tasks characterized by different criticality levels. This paper offers an efficient scheduling solution, named Hybrid Hard Real-Time Scheduling (H2RTS, which combines a static, clock driven method with a dynamic, event driven scheduling technique, in order to provide high execution predictability, while keeping a high node Central Processing Unit (CPU utilization factor. From the detailed, integrated schedulability analysis of the H2RTS, a set of sufficiency tests are introduced and demonstrated based on the processor demand and linear upper bound metrics. The performance and correct behavior of the proposed hybrid scheduling technique have been extensively evaluated and validated both on a simulator and on a sensor mote equipped with ARM7 microcontroller.

Novel Hybrid Scheduling Technique for Sensor Nodes with Mixed Criticality Tasks.

Science.gov (United States)

Micea, Mihai-Victor; Stangaciu, Cristina-Sorina; Stangaciu, Valentin; Curiac, Daniel-Ioan

2017-06-26

Sensor networks become increasingly a key technology for complex control applications. Their potential use in safety- and time-critical domains has raised the need for task scheduling mechanisms specially adapted to sensor node specific requirements, often materialized in predictable jitter-less execution of tasks characterized by different criticality levels. This paper offers an efficient scheduling solution, named Hybrid Hard Real-Time Scheduling (H²RTS), which combines a static, clock driven method with a dynamic, event driven scheduling technique, in order to provide high execution predictability, while keeping a high node Central Processing Unit (CPU) utilization factor. From the detailed, integrated schedulability analysis of the H²RTS, a set of sufficiency tests are introduced and demonstrated based on the processor demand and linear upper bound metrics. The performance and correct behavior of the proposed hybrid scheduling technique have been extensively evaluated and validated both on a simulator and on a sensor mote equipped with ARM7 microcontroller.

Ecological and economical efficiency of monitoring systems for oil and gas production on the shelf

Science.gov (United States)

Kurakin, A. L.; Lobkovsky, L. I.

2014-02-01

Requirements for signals' reliability of monitoring systems (with respect to the errors of the 1st and 2nd kinds, i.e., false alarms and skipping of danger) are deduced from the ratio of expenditures of different kinds (of exploitation expenses and losses due to accidents). The expressions obtained in the research may be used for economic foundations (and optimization) of specifications for monitoring systems. In cases when optimal parameters are not available, the sufficient condition of monitoring systems economical efficiency is presented.

Schedulability-Driven Frame Packing for Multi-Cluster Distributed Embedded Systems

DEFF Research Database (Denmark)

Pop, Paul; Eles, Petru; Peng, Zebo

2003-01-01

We present an approach to frame packing for multi-cluster distributed embedded systems consisting of time-triggered and event-triggered clusters, interconnected via gateways. In our approach, the application messages are packed into frames such that the application is schedulable. Thus, we have...... also proposed a schedulability analysis for applications consisting of mixed event-triggered and time-triggered processes and messages, and a worst case queuing delay analysis for the gateways, responsible for routing inter-cluster traffic. Optimization heuristics for frame packing aiming at producing...... a schedulable system have been proposed. Extensive experiments and a real-life example show the efficiency of our frame-packing approach....

A DIFFERENTIAL EVOLUTION ALGORITHM DEVELOPED FOR A NURSE SCHEDULING PROBLEM

Directory of Open Access Journals (Sweden)

Shahnazari-Shahrezaei, P.

2012-11-01

Full Text Available Nurse scheduling is a type of manpower allocation problem that tries to satisfy hospital managers objectives and nurses preferences as much as possible by generating fair shift schedules. This paper presents a nurse scheduling problem based on a real case study, and proposes two meta-heuristics a differential evolution algorithm (DE and a greedy randomised adaptive search procedure (GRASP to solve it. To investigate the efficiency of the proposed algorithms, two problems are solved. Furthermore, some comparison metrics are applied to examine the reliability of the proposed algorithms. The computational results in this paper show that the proposed DE outperforms the GRASP.

Advance Resource Provisioning in Bulk Data Scheduling

Energy Technology Data Exchange (ETDEWEB)

Balman, Mehmet

2012-10-01

Today?s scientific and business applications generate mas- sive data sets that need to be transferred to remote sites for sharing, processing, and long term storage. Because of increasing data volumes and enhancement in current net- work technology that provide on-demand high-speed data access between collaborating institutions, data handling and scheduling problems have reached a new scale. In this paper, we present a new data scheduling model with ad- vance resource provisioning, in which data movement operations are defined with earliest start and latest comple- tion times. We analyze time-dependent resource assign- ment problem, and propose a new methodology to improve the current systems by allowing researchers and higher-level meta-schedulers to use data-placement as-a-service, so they can plan ahead and submit transfer requests in advance. In general, scheduling with time and resource conflicts is NP-hard. We introduce an efficient algorithm to organize multiple requests on the fly, while satisfying users? time and resource constraints. We successfully tested our algorithm in a simple benchmark simulator that we have developed, and demonstrated its performance with initial test results.

Evaluation of economic and technical efficiency of diesel engines operation on the basis of volume combustion rate

Directory of Open Access Journals (Sweden)

І. О. Берестовой

2016-11-01

Full Text Available The article deals with a new approach to evaluation of complex efficiency of diesel engines. Traditionally, cylinder’s capacity, rotation frequency, average efficient pressure inside cylinder, piston’s stroke, average piston’s velocity, fuel specific consumption and other indices are used as generalizing criteria, characterizing diesel engine’s efficiency, but they do not reflect interrelation between engine’s complex efficiency and a set of economic, mass-dimensional, operational and ecological efficiency. The approach applied in the article makes it possible to reveal the existing and modify the existing methods of solving the problem of improving diesel engine’s efficiency with due regard to interrelation of the parameters, characterizing efficiency of their operation. Statistic analyses were carried out, on the basis of which an assumption regarding the existence of interrelation between specific fuel consumption and the analyzed engine’s parameters was made. Processing of statistical data for various analyzed functions of diesel engines helped offer a function, illustrating the link between volume combustion rate, piston’s area and nominal theoretical specific fuel consumption. Interrelation between volume combustion rate, nominal parameters of diesel operation and efficiency indices, obtained by processing statistical data of more than 500 models of diesels of different series was evaluated, the main feature of it being a mathematical trend. The analysis of the obtained function makes it possible to establish an interrelation between economic efficiency of a diesel, its main index being specific fuel consumption and volume combustion rate and design peculiarities

Economic efficiency versus social equality? The U.S. liberal model versus the European social model.

Science.gov (United States)

Navarro, Vicente; Schmitt, John

2005-01-01

This article begins by challenging the widely held view in neoliberal discourse that there is a necessary trade-off between higher efficiency and lower reduction of inequalities: the article empirically shows that the liberal, U.S. model has been less efficient economically (slower economic growth, higher unemployment) than the social model in existence in the European Union and in the majority of its member states. Based on the data presented, the authors criticize the adoption of features of the liberal model (such as deregulation of their labor markets, reduction of public social expenditures) by some European governments. The second section analyzes the causes for the slowdown of economic growth and the increase of unemployment in the European Union--that is, the application of monetarist and neoliberal policies in the institutional frame of the European Union, including the Stability Pact, the objectives and modus operandi of the European Central Bank, and the very limited resources available to the European Commission for stimulating and distributive functions. The third section details the reasons for these developments, including (besides historical considerations) the enormous influence of financial capital in the E.U. institutions and the very limited democracy. Proposals for change are included.

HE CONVERSION OF THE EFFICIENCY OF LABOR, RESPECTIVELY OF LABOR PRODUCTIVITY IN THE ECONOMIC AND COMMERCIAL RATE OF RETURN

Directory of Open Access Journals (Sweden)

Constantin CĂRUNTU

2010-12-01

Full Text Available Generally, an activity is considered to be efficient if the production implies low costs or if the revenues from selling the products on the market outweigh the expenditures that were made to achieve them. Labor productivity as an efficiency indicator of a production process represents an expression of the relationship between effect (products, services and effort (work means, labor force, work items. Through the labor productivity conversion in rates of return (economic and commercial is determined an evolution and an influence on these rates, driving the company’s own efforts to innovate, produce and harness goods, works and services with maximum utility, efficiency and competitiveness services. The aim of this paper is to highlight the work efficiency, respectively the labor productivity detached from the factorial context in the trade and economic rates of return. The introduction presents some general aspects referring to labor productivity, then it will be presented and discussed the analytical methods used in the process of reflecting the labor productivity in the rates of return, the results analysis, and at the end of this paper it will be presented some conclusions based on the study case. The expected results consist in identifying the mechanisms by which labor efficiency is converted into the company’s economic and financial performance.

Efficiency Assessment of Economic International Cooperation in Development of Arctic Offshore Oil and Gas Resources

Directory of Open Access Journals (Sweden)

Polina V. Beresneva

2015-01-01

Full Text Available The research is focused on efficiency assessment of economic cooperation in development of Arctic offshore oil and gas resources. The author developed an economic model based on cost-benefit analysis (CBA. CBA is used in some countries (EU, USA, Australia as an analytic tool to make public policy decisions. CBA is based on the method of discounting cash flows associated with costs and benefits of public policy. It is assumed that all public goals are equally important inter alia, hence public bodies should opt for those initiatives that maximize public benefits for every dollar spent from the state budget. There are five stages of economic modeling: 1 the definition of public benefits and costs associated with the public initiative; 2 monetary valuation of costs and benefits; 3 the definition of discounting period and discounting rate; 4 the calculation of net present value of cash flows; 5 the comparison of initiatives' net present values. The model is built with a number of hypotheses assumed. It allows making evaluation of investments into the technology to decrease the cost of Arctic offshore oil and gas development. Moreover, the model has two scenarios describing a public policy to support technology development with international economic cooperation and without it. Under given hypotheses both scenarios return positive net present value of policies which proves that governmental initiative to support Arctic technology development is economically justified. Also the model sows that the scenario with international cooperation is more efficient from economic point of view. It is explained by two factors: the higher speed of technology transfer (due W international cooperation and the opportunity to use financial leverage (attracting the funds from foreign partners. The model allows closing the existing scientific gap between the theory of CBA method and its practical use in public decision making.

Tri-generation based hybrid power plant scheduling for renewable resources rich area with energy storage

International Nuclear Information System (INIS)

Pazheri, F.R.

2015-01-01

Highlights: • Involves scheduling of the tri-generation based hybrid power plant. • Utilization of renewable energy through energy storage is discussed. • Benefits of the proposed model are illustrated. • Energy efficient and environmental friendly dispatch is analyzed. • Modeled scheduling problem is applicable to any fuel enriched area. - Abstract: Solving power system scheduling is crucial to ensure smooth operations of the electric power industry. Effective utilization of available conventional and renewable energy sources (RES) by tri-generation and with the aid of energy storage facilities (ESF) can ensure clean and energy efficient power generation. Such power generation can play an important role in countries, like Saudi Arabia, where abundant fossil fuels (FF) and renewable energy sources (RES) are available. Hence, effective modeling of such hybrid power systems scheduling is essential in such countries based on the available fuel resources. The intent of this paper is to present a simple model for tri-generation based hybrid power system scheduling for energy resources rich area in presence of ESF, to ensure optimum fuel utilization and minimum pollutant emissions while meeting the power demand. This research points an effective operation strategy which ensure a clean and energy efficient power scheduling by exploiting available energy resources effectively. Hence, it has an important role in current and future power generation. In order to illustrate the benefits of the presented approach a clean and energy efficient hybrid power supply scheme for King Saud University (KSU), Saudi Arabia, is proposed and analyzed here. Results show that the proposed approach is very suitable for KSU since adequate solar power is available during its peak demand periods

Performance and economic analysis of a plug and play regenerative brake for improving energy efficiency for traction elevators

Science.gov (United States)

Jeraputra, Chuttchaval; Tiptipakorn, Supun

2017-05-01

This paper presents performance and economic analysis of a plug and play regenerative brake for improving energy efficiency for traction elevators. The proposed regenerative brake recycles the energy loss of a dynamic brake and feeds into the grid while an elevator inverter is operating in the braking mode. According to field measurement of energy consumption, it reveals that the efficiency can be improved as much as 18%. The prototype of a regenerative brake 12 kW, 400V, 3ϕ is developed and tested on an elevator simulator. It is shown that it can transfer energy out of a DC capacitor before the dynamic brake kicks in. Further, an economic analysis is provided to carry out the payback period and the present worth equivalent to confirm economic feasibility.

Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle

Energy Technology Data Exchange (ETDEWEB)

Hackbarth, Andre; Schuermann, Gregor [RWTH Aachen (Germany). Lehrstuhl fuer Wirtschaftswissenschaften insb. Energieoekonomik,; RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN); Madlener, Reinhard [Technische Hochschule Aachen (DE). Lehrstuhl fuer Verbrennungskraftmaschinen (VKA)

2009-07-15

The German traffic sector is strongly dependent on fossil fuels. Electric vehicles could reduce this dependence and also help to keep CO2 emissions low. Plug-in hybrid electric vehicles (PHEV) are a technology option that may facilitate the transition to electromobility. The authors investigate the economic efficiencies and amortisation periods of PHEV on the basis of two different business models, i.e. passenger cars (compact and medium-sized) and light vans. It is shown that under the assumed boundary conditions PHEV are not economically efficient at present. The influence of various parameters on economic efficiency and amortisation period is investigated by means of a sensitivity analysis. (orig.)

Modelling efficient innovative work: integration of economic and social psychological approaches

Directory of Open Access Journals (Sweden)

Babanova Yulia

2017-01-01

Full Text Available The article deals with the relevance of integration of economic and social psychological approaches to the solution of enhancing the efficiency of innovation management. The content, features and specifics of the modelling methods within each of approaches are unfolded and options of integration are considered. The economic approach lies in the generation of the integrated matrix concept of management of innovative development of an enterprise in line with the stages of innovative work and the use of the integrated vector method for the evaluation of the innovative enterprise development level. The social psychological approach lies in the development of a system of psychodiagnostic indexes of activity resources within the scope of psychological innovative audit of enterprise management and development of modelling methods for the balance of activity trends. Modelling the activity resources is based on the system of equations accounting for the interaction type of psychodiagnostic indexes. Integration of two approaches includes a methodological level, a level of empirical studies and modelling methods. There are suggested options of integrating the economic and psychological approaches to analyze available material and non-material resources of the enterprises’ innovative work and to forecast an optimal option of development based on the implemented modelling methods.

The applicability of knowledge-based scheduling to the utilities industry

International Nuclear Information System (INIS)

Yoshimoto, G.; Gargan, R. Jr.; Duggan, P.

1992-01-01

The Electric Power Research Institute (EPRI), Nuclear Power Division, has identified the three major goals of high technology applications for nuclear power plants. These goals are to enhance power production through increasing power generation efficiency, to increase productivity of the operations, and to reduce the threats to the safety of the plant. Our project responds to the second goal by demonstrating that significant productivity increases can be achieved for outage maintenance operations based on existing knowledge-based scheduling technology. Its use can also mitigate threats to potential safety problems by means of the integration of risk assessment features into the scheduler. The scheduling approach uses advanced techniques enabling the automation of the routine scheduling decision process that previously was handled by people. The process of removing conflicts in scheduling is automated. This is achieved by providing activity representations that allow schedulers to express a variety of different scheduling constraints and by implementing scheduling mechanisms that simulate kinds of processes that humans use to find better solutions from a large number of possible solutions. This approach allows schedulers to express detailed constraints between activities and other activities, resources (material and personnel), and requirements that certain states exist for their execution. Our scheduler has already demonstrated its benefit to improving the shuttle processing flow management at Kennedy Space Center. Knowledge-based scheduling techniques should be examined by utilities industry researchers, developers, operators and management for application to utilities planning problems because of its great cost benefit potential. 4 refs., 4 figs

Sault Tribe Building Efficiency Energy Audits

Energy Technology Data Exchange (ETDEWEB)

Holt, Jeffrey W.

2013-09-26

The Sault Ste. Marie Tribe of Chippewa Indians is working to reduce energy consumption and expense in Tribally-owned governmental buildings. The Sault Ste. Marie Tribe of Chippewa Indians will conduct energy audits of nine Tribally-owned governmental buildings in three counties in the Upper Peninsula of Michigan to provide a basis for evaluating and selecting the technical and economic viability of energy efficiency improvement options. The Sault Ste. Marie Tribe of Chippewa Indians will follow established Tribal procurement policies and procedures to secure the services of a qualified provider to conduct energy audits of nine designated buildings. The contracted provider will be required to provide a progress schedule to the Tribe prior to commencing the project and submit an updated schedule with their monthly billings. Findings and analysis reports will be required for buildings as completed, and a complete Energy Audit Summary Report will be required to be submitted with the provider?s final billing. Conducting energy audits of the nine governmental buildings will disclose building inefficiencies to prioritize and address, resulting in reduced energy consumption and expense. These savings will allow Tribal resources to be reallocated to direct services, which will benefit Tribal members and families.

Application of cultural algorithm to generation scheduling of hydrothermal systems

International Nuclear Information System (INIS)

Yuan Xiaohui; Yuan Yanbin

2006-01-01

The daily generation scheduling of hydrothermal power systems plays an important role in the operation of electric power systems for economics and security, which is a large scale dynamic non-linear constrained optimization problem. It is difficult to solve using traditional optimization methods. This paper proposes a new cultural algorithm to solve the optimal daily generation scheduling of hydrothermal power systems. The approach takes the water transport delay time between connected reservoirs into consideration and can conveniently deal with the complicated hydraulic coupling simultaneously. An example is used to verify the correctness and effectiveness of the proposed cultural algorithm, comparing with both the Lagrange method and the genetic algorithm method. The simulation results demonstrate that the proposed algorithm has rapid convergence speed and higher solution precision. Thus, an effective method is provided to solve the optimal daily generation scheduling of hydrothermal systems

Computer-based irrigation scheduling for cotton crop

International Nuclear Information System (INIS)

Laghari, K.Q.; Memon, H.M.

2008-01-01

In this study a real time irrigation schedule for cotton crop has been tested using mehran model, a computer-based DDS (Decision Support System). The irrigation schedule was set on selected MAD (Management Allowable Depletion) and the current root depth position. The total 451 mm irrigation water applied to the crop field. The seasonal computed crop ET (Evapotranspiration) was estimated 421.32 mm and actual (ET/sub ca/) observed was 413 mm. The model over-estimated seasonal ET by only 1.94. WUE (Water Use Efficiency) for seed-cotton achieved 6.59 Kg (ha mm)/sup -1/. The statistical analysis (R/sup 2/=0.96, ARE%=2.00, T-1.17 and F=550.57) showed good performance of the model in simulated and observed ET values. The designed Mehran model is designed quite versatile for irrigation scheduling and can be successfully used as irrigation DSS tool for various crop types. (author)

A multi-group and preemptable scheduling of cloud resource based on HTCondor

Science.gov (United States)

Jiang, Xiaowei; Zou, Jiaheng; Cheng, Yaodong; Shi, Jingyan

2017-10-01

Due to the features of virtual machine-flexibility, easy controlling and various system environments, more and more fields utilize the virtualization technology to construct the distributed system with the virtual resources, also including high energy physics. This paper introduce a method used in high energy physics that supports multiple resource group and preemptable cloud resource scheduling, combining virtual machine with HTCondor (a batch system). It makes resource controlling more flexible and more efficient and makes resource scheduling independent of job scheduling. Firstly, the resources belong to different experiment-groups, and the type of user-groups mapping to resource-groups(same as experiment-group) is one-to-one or many-to-one. In order to make the confused group simply to be managed, we designed the permission controlling component to ensure that the different resource-groups can get the suitable jobs. Secondly, for the purpose of elastically allocating resources for suitable resource-group, it is necessary to schedule resources like scheduling jobs. So this paper designs the cloud resource scheduling to maintain a resource queue and allocate an appropriate amount of virtual resources to the request resource-group. Thirdly, in some kind of situations, because of the resource occupied for a long time, resources need to be preempted. This paper adds the preemption function for the resource scheduling that implement resource preemption based on the group priority. Additionally, the way to preempting is soft that when virtual resources are preempted, jobs will not be killed but also be held and rematched later. It is implemented with the help of HTCondor, storing the held job information in scheduler, releasing the job to idle status and doing second matcher. In IHEP (institute of high energy physics), we have built a batch system based on HTCondor with a virtual resources pool based on Openstack. And this paper will show some cases of experiment JUNO

Instructions, multiple schedules, and extinction: Distinguishing rule-governed from schedule-controlled behavior.

Science.gov (United States)

Hayes, S C; Brownstein, A J; Haas, J R; Greenway, D E

1986-09-01

Schedule sensitivity has usually been examined either through a multiple schedule or through changes in schedules after steady-state responding has been established. This study compared the effects of these two procedures when various instructions were given. Fifty-five college students responded in two 32-min sessions under a multiple fixed-ratio 18/differential-reinforcement-of-low-rate 6-s schedule, followed by one session of extinction. Some subjects received no instructions regarding the appropriate rates of responding, whereas others received instructions to respond slowly, rapidly, or both. Relative to the schedule in operation, the instructions were minimal, partially inaccurate, or accurate. When there was little schedule sensitivity in the multiple schedule, there was little in extinction. When apparently schedule-sensitive responding occurred in the multiple schedule, however, sensitivity in extinction occurred only if differential responding in the multiple schedule could not be due to rules supplied by the experimenter. This evidence shows that rule-governed behavior that occurs in the form of schedule-sensitive behavior may not in fact become schedule-sensitive even though it makes contact with the scheduled reinforcers.

Flexible work schedules, older workers, and retirement.

Science.gov (United States)

Siegenthaler, J K; Brenner, A M

2000-01-01

Older workers in the United States indicate that they would prefer flexible work arrangements rather than abrupt retirement, yet management has done very little to make this possible. A review of two bodies of literature from the late 1980s is presented: social science writings including sociological, gerontological, and economic literature, and business and management literature. There is a clash between the way jobs are traditionally scheduled and the needs of growing numbers of older workers. Workers continue to be subject to obstacles to phased retirement due to the structuring of health care and pension benefits, downsizing, organizational inflexibility, and "corporate culture." Thus, general views among social scientists regarding the desirability of flexible schedules toward retirement will not produce real changes unless management becomes committed to such changes and they are securely embedded in company policies.

Optimal residential smart appliances scheduling considering distribution network constraints

Directory of Open Access Journals (Sweden)

Yu-Ree Kim

2016-01-01

Full Text Available As smart appliances (SAs are more widely adopted within distribution networks, residential consumers can contribute to electricity market operations with demand response resources and reduce their electricity bill. However, if the schedules of demand response resources are determined only by the economic electricity rate signal, the schedule can be unfeasible due to the distribution network constraints. Furthermore, it is impossible for consumers to understand the complex physical characteristics and reflect them in their everyday behaviors. This paper introduces the concept of load coordinating retailer (LCR that deals with demand responsive appliances to reduce electrical consumption for the given distribution network constraints. The LCR can play the role of both conventional retailer and aggregated demand response provider for residential customers. It determines the optimal schedules for the aggregated neighboring SAs according to their types within each distribution feeder. The optimization algorithms are developed using Mixed Integer Linear Programming, and the distribution network is solved by the Newton–Raphson AC power flow.

Energy efficient distributed cluster head scheduling scheme for two tiered wireless sensor network

Directory of Open Access Journals (Sweden)

G. Kannan

2015-07-01

Full Text Available Wireless Sensor Network (WSN provides a significant contribution in the emerging fields such as ambient intelligence and ubiquitous computing. In WSN, optimization and load balancing of network resources are critical concern to provide the intelligence for long duration. Since clustering the sensor nodes can significantly enhance overall system scalability and energy efficiency this paper presents a distributed cluster head scheduling (DCHS algorithm to achieve the network longevity in WSN. The major novelty of this work is that the network is divided into primary and secondary tiers based on received signal strength indication of sensor nodes from the base station. The proposed DCHS supports for two tier WSN architecture and gives suggestion to elect the cluster head nodes and gateway nodes for both primary and secondary tiers. The DCHS mechanism satisfies an ideal distribution of the cluster head among the sensor nodes and avoids frequent selection of cluster head, based on Received Signal Strength Indication (RSSI and residual energy level of the sensor nodes. Since the RSSI is the key parameter for this paper, the practical experiment was conducted to measure RSSI value by using MSP430F149 processor and CC2500 transceiver. The measured RSSI values were given input to the event based simulator to test the DCHS mechanism. The real time experimental study validated the proposed scheme for various scenarios.

Sleep scheduling with expected common coverage in wireless sensor networks

OpenAIRE

Bulut, Eyuphan; Korpeoglu, Ibrahim

2011-01-01

Sleep scheduling, which is putting some sensor nodes into sleep mode without harming network functionality, is a common method to reduce energy consumption in dense wireless sensor networks. This paper proposes a distributed and energy efficient sleep scheduling and routing scheme that can be used to extend the lifetime of a sensor network while maintaining a user defined coverage and connectivity. The scheme can activate and deactivate the three basic units of a sensor node (sensing, proces...

An On-Time Power-Aware Scheduling Scheme for Medical Sensor SoC-Based WBAN Systems

Science.gov (United States)

Hwang, Tae-Ho; Kim, Dong-Sun; Kim, Jung-Guk

2013-01-01

The focus of many leading technologies in the field of medical sensor systems is on low power consumption and robust data transmission. For example, the implantable cardioverter-defibrillator (ICD), which is used to maintain the heart in a healthy state, requires a reliable wireless communication scheme with an extremely low duty-cycle, high bit rate, and energy-efficient media access protocols. Because such devices must be sustained for over 5 years without access to battery replacement, they must be designed to have extremely low power consumption in sleep mode. Here, an on-time, energy-efficient scheduling scheme is proposed that performs power adjustments to minimize the sleep-mode current. The novelty of this scheduler is that it increases the determinacy of power adjustment and the predictability of scheduling by employing non-pre-emptible dual priority scheduling. This predictable scheduling also guarantees the punctuality of important periodic tasks based on their serialization, by using their worst case execution time) and the power consumption optimization. The scheduler was embedded into a system on chip (SoC) developed to support the wireless body area network—a wakeup-radio and wakeup-timer for implantable medical devices. This scheduling system is validated by the experimental results of its performance when used with life-time extensions of ICD devices. PMID:23271602

An on-time power-aware scheduling scheme for medical sensor SoC-based WBAN systems.

Science.gov (United States)

Hwang, Tae-Ho; Kim, Dong-Sun; Kim, Jung-Guk

2012-12-27

The focus of many leading technologies in the field of medical sensor systems is on low power consumption and robust data transmission. For example, the implantable cardioverter-defibrillator (ICD), which is used to maintain the heart in a healthy state, requires a reliable wireless communication scheme with an extremely low duty-cycle, high bit rate, and energy-efficient media access protocols. Because such devices must be sustained for over 5 years without access to battery replacement, they must be designed to have extremely low power consumption in sleep mode. Here, an on-time, energy-efficient scheduling scheme is proposed that performs power adjustments to minimize the sleep-mode current. The novelty of this scheduler is that it increases the determinacy of power adjustment and the predictability of scheduling by employing non-pre-emptible dual priority scheduling. This predictable scheduling also guarantees the punctuality of important periodic tasks based on their serialization, by using their worst case execution time) and the power consumption optimization. The scheduler was embedded into a system on chip (SoC) developed to support the wireless body area network-a wakeup-radio and wakeup-timer for implantable medical devices. This scheduling system is validated by the experimental results of its performance when used with life-time extensions of ICD devices.

Improved Space Surveillance Network (SSN) Scheduling using Artificial Intelligence Techniques

Science.gov (United States)

Stottler, D.

There are close to 20,000 cataloged manmade objects in space, the large majority of which are not active, functioning satellites. These are tracked by phased array and mechanical radars and ground and space-based optical telescopes, collectively known as the Space Surveillance Network (SSN). A better SSN schedule of observations could, using exactly the same legacy sensor resources, improve space catalog accuracy through more complementary tracking, provide better responsiveness to real-time changes, better track small debris in low earth orbit (LEO) through efficient use of applicable sensors, efficiently track deep space (DS) frequent revisit objects, handle increased numbers of objects and new types of sensors, and take advantage of future improved communication and control to globally optimize the SSN schedule. We have developed a scheduling algorithm that takes as input the space catalog and the associated covariance matrices and produces a globally optimized schedule for each sensor site as to what objects to observe and when. This algorithm is able to schedule more observations with the same sensor resources and have those observations be more complementary, in terms of the precision with which each orbit metric is known, to produce a satellite observation schedule that, when executed, minimizes the covariances across the entire space object catalog. If used operationally, the results would be significantly increased accuracy of the space catalog with fewer lost objects with the same set of sensor resources. This approach inherently can also trade-off fewer high priority tasks against more lower-priority tasks, when there is benefit in doing so. Currently the project has completed a prototyping and feasibility study, using open source data on the SSN's sensors, that showed significant reduction in orbit metric covariances. The algorithm techniques and results will be discussed along with future directions for the research.

Neighbourhood generation mechanism applied in simulated annealing to job shop scheduling problems

Science.gov (United States)

Cruz-Chávez, Marco Antonio

2015-11-01

This paper presents a neighbourhood generation mechanism for the job shop scheduling problems (JSSPs). In order to obtain a feasible neighbour with the generation mechanism, it is only necessary to generate a permutation of an adjacent pair of operations in a scheduling of the JSSP. If there is no slack time between the adjacent pair of operations that is permuted, then it is proven, through theory and experimentation, that the new neighbour (schedule) generated is feasible. It is demonstrated that the neighbourhood generation mechanism is very efficient and effective in a simulated annealing.

Schedules of Controlled Substances: Temporary Placement of 4-Fluoroisobutyryl Fentanyl into Schedule I. Temporary scheduling order.

Science.gov (United States)

2017-05-03

The Administrator of the Drug Enforcement Administration is issuing this temporary scheduling order to schedule the synthetic opioid, N-(4-fluorophenyl)-N-(1-phenethylpiperidin-4-yl)isobutyramide (4-fluoroisobutyryl fentanyl or para-fluoroisobutyryl fentanyl), and its isomers, esters, ethers, salts and salts of isomers, esters, and ethers, into schedule I pursuant to the temporary scheduling provisions of the Controlled Substances Act. This action is based on a finding by the Administrator that the placement of 4-fluoroisobutyryl fentanyl into schedule I of the Controlled Substances Act is necessary to avoid an imminent hazard to the public safety. As a result of this order, the regulatory controls and administrative, civil, and criminal sanctions applicable to schedule I controlled substances will be imposed on persons who handle (manufacture, distribute, reverse distribute, import, export, engage in research, conduct instructional activities or chemical analysis, or possess), or propose to handle, 4-fluoroisobutyryl fentanyl.

Tramp Ship Routing and Scheduling - Models, Methods and Opportunities

DEFF Research Database (Denmark)

Vilhelmsen, Charlotte; Larsen, Jesper; Lusby, Richard Martin

of their demand in advance. However, the detailed requirements of these contract cargoes can be subject to ongoing changes, e.g. the destination port can be altered. For tramp operators, a main concern is therefore the efficient and continuous planning of routes and schedules for the individual ships. Due...... and scheduling problem, focus should now be on extending this basic problem to include additional real-world complexities and develop suitable solution methods for those extensions. Such extensions will enable more tramp operators to benefit from the solution methods while simultaneously creating new...

Economic efficiency of the use of the bush vegetation from slopes of the ameliorative canals

International Nuclear Information System (INIS)

Titov, V.N.

2009-01-01

The results of calculations of the economic efficiency of the use of the bush vegetation from slopes of the ameliorative canals for fuel and energy purposes has been presented. The two variants of disposal of bushes are considered burning and conversion into fuel chips. (authors)

Multiprocessor scheduling for real-time systems

CERN Document Server

Baruah, Sanjoy; Buttazzo, Giorgio

2015-01-01

This book provides a comprehensive overview of both theoretical and pragmatic aspects of resource-allocation and scheduling in multiprocessor and multicore hard-real-time systems.  The authors derive new, abstract models of real-time tasks that capture accurately the salient features of real application systems that are to be implemented on multiprocessor platforms, and identify rules for mapping application systems onto the most appropriate models.  New run-time multiprocessor scheduling algorithms are presented, which are demonstrably better than those currently used, both in terms of run-time efficiency and tractability of off-line analysis.  Readers will benefit from a new design and analysis framework for multiprocessor real-time systems, which will translate into a significantly enhanced ability to provide formally verified, safety-critical real-time systems at a significantly lower cost.

Environmental surveillance master sampling schedule

International Nuclear Information System (INIS)

Bisping, L.E.

1995-02-01

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program

Environmental surveillance master sampling schedule

Energy Technology Data Exchange (ETDEWEB)

Bisping, L.E.

1995-02-01

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

Scheduling techniques in the Request Oriented Scheduling Engine (ROSE)

Science.gov (United States)

Zoch, David R.

1991-01-01

Scheduling techniques in the ROSE are presented in the form of the viewgraphs. The following subject areas are covered: agenda; ROSE summary and history; NCC-ROSE task goals; accomplishments; ROSE timeline manager; scheduling concerns; current and ROSE approaches; initial scheduling; BFSSE overview and example; and summary.

A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits.

Science.gov (United States)

Rollan, Catherine Denise; Li, Richard; San Juan, Jayne Lois; Dizon, Liezel; Ong, Karl Benedict

2018-01-15

Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvesting, while balancing the maximization of the carbon sequestered and income realized, into the forestation decision-making and planning process. The validation of the goal programming model formulated demonstrates that the characteristics of natural tree species along with the behavior of growth and timing of yield are significant factors in achieving the environmental and socio-economic aspirations. The proposed model is therefore useful in gauging species behavior and performance over time. Sensitivity analysis was also conducted where the behavior of the income generated and carbon sequestered with respect to the external factors such as carbon market prices, percentage area allocated for protection and discount factor was assessed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms

Science.gov (United States)

Wang, Jianwu; Korambath, Prakashan; Altintas, Ilkay; Davis, Jim; Crawl, Daniel

2017-01-01

With more and more workflow systems adopting cloud as their execution environment, it becomes increasingly challenging on how to efficiently manage various workflows, virtual machines (VMs) and workflow execution on VM instances. To make the system scalable and easy-to-extend, we design a Workflow as a Service (WFaaS) architecture with independent services. A core part of the architecture is how to efficiently respond continuous workflow requests from users and schedule their executions in the cloud. Based on different targets, we propose four heuristic workflow scheduling algorithms for the WFaaS architecture, and analyze the differences and best usages of the algorithms in terms of performance, cost and the price/performance ratio via experimental studies. PMID:29399237

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.

Science.gov (United States)

Wang, Jianwu; Korambath, Prakashan; Altintas, Ilkay; Davis, Jim; Crawl, Daniel

2014-01-01

With more and more workflow systems adopting cloud as their execution environment, it becomes increasingly challenging on how to efficiently manage various workflows, virtual machines (VMs) and workflow execution on VM instances. To make the system scalable and easy-to-extend, we design a Workflow as a Service (WFaaS) architecture with independent services. A core part of the architecture is how to efficiently respond continuous workflow requests from users and schedule their executions in the cloud. Based on different targets, we propose four heuristic workflow scheduling algorithms for the WFaaS architecture, and analyze the differences and best usages of the algorithms in terms of performance, cost and the price/performance ratio via experimental studies.

A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems

Directory of Open Access Journals (Sweden)

Yingni Zhai

2014-10-01

Full Text Available Purpose: A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems (JSP is proposed.Design/methodology/approach: In the algorithm, a number of sub-problems are constructed by iteratively decomposing the large-scale JSP according to the process route of each job. And then the solution of the large-scale JSP can be obtained by iteratively solving the sub-problems. In order to improve the sub-problems' solving efficiency and the solution quality, a detection method for multi-bottleneck machines based on critical path is proposed. Therewith the unscheduled operations can be decomposed into bottleneck operations and non-bottleneck operations. According to the principle of “Bottleneck leads the performance of the whole manufacturing system” in TOC (Theory Of Constraints, the bottleneck operations are scheduled by genetic algorithm for high solution quality, and the non-bottleneck operations are scheduled by dispatching rules for the improvement of the solving efficiency.Findings: In the process of the sub-problems' construction, partial operations in the previous scheduled sub-problem are divided into the successive sub-problem for re-optimization. This strategy can improve the solution quality of the algorithm. In the process of solving the sub-problems, the strategy that evaluating the chromosome's fitness by predicting the global scheduling objective value can improve the solution quality.Research limitations/implications: In this research, there are some assumptions which reduce the complexity of the large-scale scheduling problem. They are as follows: The processing route of each job is predetermined, and the processing time of each operation is fixed. There is no machine breakdown, and no preemption of the operations is allowed. The assumptions should be considered if the algorithm is used in the actual job shop.Originality/value: The research provides an efficient scheduling method for the

Is Municipal Solid Waste Recycling Economically Efficient?

Science.gov (United States)

Lavee, Doron

2007-12-01

It has traditionally been argued that recycling municipal solid waste (MSW) is usually not economically viable and that only when externalities, long-term dynamic considerations, and/or the entire product life cycle are taken into account, recycling becomes worthwhile from a social point of view. This article explores the results of a wide study conducted in Israel in the years 2000 2004. Our results reveal that recycling is optimal more often than usually claimed, even when externality considerations are ignored. The study is unique in the tools it uses to explore the efficiency of recycling: a computer-based simulation applied to an extensive database. We developed a simulation for assessing the costs of handling and treating MSW under different waste-management systems and used this simulation to explore possible cost reductions obtained by designating some of the waste (otherwise sent to landfill) to recycling. We ran the simulation on data from 79 municipalities in Israel that produce over 60% of MSW in Israel. For each municipality, we were able to arrive at an optimal method of waste management and compare the costs associated with 100% landfilling to the costs born by the municipality when some of the waste is recycled. Our results indicate that for 51% of the municipalities, it would be efficient to adopt recycling, even without accounting for externality costs. We found that by adopting recycling, municipalities would be able to reduce direct costs by an average of 11%. Through interviews conducted with representatives of municipalities, we were also able to identify obstacles to the utilization of recycling, answering in part the question of why actual recycling levels in Israel are lower than our model predicts they should be.

Economic efficiency, independent power producers and wheeling

International Nuclear Information System (INIS)

Fytche, E.L.

1991-01-01

Traditionally, electric utilities have sought to decrease the cost of production by such means as merit order running of machines, by improving equipment efficiency, by fuel mix, by interconnection and exchange of cheap energy, and by unit participation and firm purchase and sale contracts for long term savings. In the ''new look'', it was suggested that financial and technical competition is not enough, and that economic gains could be achieved through fostering independent power producers, i.e., non-utility generators (NUG's), greater exchanges of economy energy, unrestricted access to the transmission network for moving cheap energy through facilities of third parties, and by bidding to supply energy to non-generators, etc. Naturally, the proposals to change the comfortable and time-hallowed practices by which utility business had been carried out in the past has created an ongoing debate both pro and con, much of it acrimonious, and, unfortunately, some of it ill-informed. The turmoil in the political context impacts on a utility's technical and financial planners, and on their managements, all of whom contribute to justifying and maintaining the flow of capital to the industry and energy to the customer. They must now seek new ways to implement both short- and long-term planning of power supply. Some of the factors that were neglected in the past will demand more attention in the future. This paper discusses some of the costs that, under the anticipated modus operandi, must be integrated into the planning process while meeting the new challenges. The costs are those relating to third-parties, costs of transmission constraints, and costs of wheeling. The opinion is ventured that much of the efficiency improvement anticipated during the debate has already been achieved by conscientious utility managements. (author)

Geometric Distribution-Based Readers Scheduling Optimization Algorithm Using Artificial Immune System

Directory of Open Access Journals (Sweden)

Litian Duan

2016-11-01

Full Text Available In the multiple-reader environment (MRE of radio frequency identification (RFID system, multiple readers are often scheduled to interrogate the randomized tags via operating at different time slots or frequency channels to decrease the signal interferences. Based on this, a Geometric Distribution-based Multiple-reader Scheduling Optimization Algorithm using Artificial Immune System (GD-MRSOA-AIS is proposed to fairly and optimally schedule the readers operating from the viewpoint of resource allocations. GD-MRSOA-AIS is composed of two parts, where a geometric distribution function combined with the fairness consideration is first introduced to generate the feasible scheduling schemes for reader operation. After that, artificial immune system (including immune clone, immune mutation and immune suppression quickly optimize these feasible ones as the optimal scheduling scheme to ensure that readers are fairly operating with larger effective interrogation range and lower interferences. Compared with the state-of-the-art algorithm, the simulation results indicate that GD-MRSOA-AIS could efficiently schedules the multiple readers operating with a fairer resource allocation scheme, performing in larger effective interrogation range.

GLOA: A New Job Scheduling Algorithm for Grid Computing

Directory of Open Access Journals (Sweden)

Zahra Pooranian

2013-03-01

Full Text Available The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA, to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.

Opportunistic splitting for scheduling using a score-based approach

KAUST Repository

Rashid, Faraan

2012-06-01

We consider the problem of scheduling a user in a multi-user wireless environment in a distributed manner. The opportunistic splitting algorithm is applied to find the best group of users without reporting the channel state information to the centralized scheduler. The users find the best among themselves while requiring just a ternary feedback from the common receiver at the end of each mini-slot. The original splitting algorithm is modified to handle users with asymmetric channel conditions. We use a score-based approach with the splitting algorithm to introduce time and throughput fairness while exploiting the multi-user diversity of the network. Analytical and simulation results are given to show that the modified score-based splitting algorithm works well as a fair scheduling scheme with good spectral efficiency and reduced feedback. © 2012 IEEE.

Impact of energy efficiency measures on the economic value of buildings

International Nuclear Information System (INIS)

Popescu, Daniela; Bienert, Sven; Schuetzenhofer, Christian; Boazu, Rodica

2012-01-01

Highlights: → Market driven reasons can strengthen implementation of energy policies in buildings. → Methods that quantify the added value due to energy performance are developed. → Recommendations on how they can be incorporated in the financial analysis are presented. → Case studies on some existing condominiums from Romania are analyzed. → The market sensitivity to energy efficiency measures is also in the focus. -- Abstract: A main objective of energy policies is to make all levels of the society, from governments to citizen, interested in increasing the energy efficiency of buildings. One of the most important barriers in implementation of energy policies is that the cost of potential energy savings, typically considered being the only financial benefit, does not sufficiently motivate investments. The target is therefore to identify further possible drivers pushing positive reaction according to energy saving action. The paper discusses whether a market-based instrument, capturing the increase of the economic value of energy efficient buildings, can be also used. Methods that quantify the added value due to energy performance, including recommendations on how they can be incorporated in the financial analysis of investments in weatherization, are developed. By applying the proposed methods, the payback period of investments in energy efficiency measures depends on two factors: potential energy savings and the added value to the property. Case studies on some existing condominiums from Romania are analyzed and provide evidence to the research question. The market sensitivity to energy efficiency measures, the possibility of an intangible added value as well as the impact to financial investment decisions is subsequently in the focus.

Economic values for health and feed efficiency traits of dual-purpose cattle in marginal areas.

Science.gov (United States)

Krupová, Z; Krupa, E; Michaličková, M; Wolfová, M; Kasarda, R

2016-01-01

Economic values of clinical mastitis, claw disease, and feed efficiency traits along with 16 additional production and functional traits were estimated for the dairy population of the Slovak Pinzgau breed using a bioeconomic approach. In the cow-calf population (suckler cow population) of the same breed, the economic values of feed efficiency traits along with 15 further production and functional traits were calculated. The marginal economic values of clinical mastitis and claw disease incidence in the dairy system were -€ 70.65 and -€ 26.73 per case per cow and year, respectively. The marginal economic values for residual feed intake were -€ 55.15 and -€ 54.64/kg of dry matter per day for cows and breeding heifers in the dairy system and -€ 20.45, -€ 11.30, and -€ 6.04/kg of dry matter per day for cows, breeding heifers, and fattened animals in the cow-calf system, respectively, all expressed per cow and year. The sums of the relative economic values for the 2 new health traits in the dairy system and for residual feed intake across all cattle categories in both systems were 1.4 and 8%, respectively. Within the dairy production system, the highest relative economic values were for milk yield (20%), daily gain of calves (20%), productive lifetime (10%), and cow conception rate (8%). In the cow-calf system, the most important traits were weight gain of calves from 120 to 210 d and from birth to 120 d (19 and 14%, respectively), productive lifetime (17%), and cow conception rate (13%). Based on the calculation of economic values for traits in the dual-purpose Pinzgau breed, milk production and growth traits remain highly important in the breeding goal, but their relative importance should be adapted to new production and economic conditions. The economic importance of functional traits (especially of cow productive lifetime and fertility) was sufficiently high to make the inclusion of these traits into the breeding goal necessary. An increased interest

Breaking out of the economic box: energy efficiency, social rationality and non-economic drivers of behavioral change

Energy Technology Data Exchange (ETDEWEB)

Ehrhardt-Martinez, Karen; Laitner, John A. ' Skip' (ACEEE, American Council for an Energy-Efficient Economy, Washington, D.C. (United States))

2009-07-01

Energy concerns are increasingly on people's minds. According to a recent Gallup poll, nearly 30 percent of American's reported that energy prices were the most important financial problem facing their families today. But are these new concerns likely to translate into long-term behavioral changes and more energy-efficient behavior? Research suggests that it will take more than high prices to achieve maximum energy savings. People may like to think of themselves as rational economic actors, but a variety of studies by social-psychologists and behavioral economists reveal that people often act in ways that may be better described as 'socially-rational' and 'predictably irrational'. Despite these findings, many residential energy programs and most policy assessments continue to model potential energy savings as a function of existing technologies and the cost of those energy resources. This paper explores the ways in which individual behavior is shaped by the social context within which people operate and presents an alternative framework for modeling efficiency behavior. The alternative model recognizes that while individuals may not always behave in economically-rational ways, their behavior may be entirely rational from other vantage points. In fact, individuals often behave as rational social actors, determining what is and isn't 'appropriate' behavior by gleaning information from their own observations, from their peers, and from interactions within their sphere of social influence. As such, this paper explores the ways in which social rules, resources and context shape individual patterns of energy consumption. This alternative approach has important implications for program designs and policy recommendations.

HOLD MODE BASED DYNAMIC PRIORITY LOAD ADAPTIVE INTERPICONET SCHEDULING FOR BLUETOOTH SCATTERNETS

Directory of Open Access Journals (Sweden)

G.S. Mahalakshmi

2011-09-01

Full Text Available Scheduling in piconets has emerged as a challenging research area. Interpiconet scheduling focuses on when a bridge is switched among various piconets and how a bridge node communicates with the masters in different piconets. This paper proposes an interpiconet scheduling algorithm named, hold mode based dynamic traffic priority load adaptive scheduling. The bridges are adaptively switched between the piconets according to various traffic loads. The main goal is to maximize the utilization of the bridge by reducing the bridge switch wastes, utilize intelligent decision making algorithm, resolve conflict between the masters, and allow negotiation for bridge utilization in HDPLIS using bridge failure-bridge repair procedure . The Hold mode - dynamic traffic - priority based - load adaptive scheduling reduces the number of bridge switch wastes and hence increases the efficiency of the bridge which results in increased performance of the system.

Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

Directory of Open Access Journals (Sweden)

Supriya Kinger

2014-01-01

Full Text Available Cloud computing has rapidly emerged as a widely accepted computing paradigm, but the research on Cloud computing is still at an early stage. Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. These hazards can be reduced up to some extent by efficient scheduling of Cloud resources. Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM scheduling. This paper proposes a new proactive technique that considers current and maximum threshold temperature of Server Machines (SMs before making scheduling decisions with the help of a temperature predictor, so that maximum temperature is never reached. Different workload scenarios have been taken into consideration. The results obtained show that the proposed system is better than existing systems of VM scheduling, which does not consider current temperature of nodes before making scheduling decisions. Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated.

Prediction based proactive thermal virtual machine scheduling in green clouds.

Science.gov (United States)

Kinger, Supriya; Kumar, Rajesh; Sharma, Anju

2014-01-01

Cloud computing has rapidly emerged as a widely accepted computing paradigm, but the research on Cloud computing is still at an early stage. Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. These hazards can be reduced up to some extent by efficient scheduling of Cloud resources. Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM) scheduling. This paper proposes a new proactive technique that considers current and maximum threshold temperature of Server Machines (SMs) before making scheduling decisions with the help of a temperature predictor, so that maximum temperature is never reached. Different workload scenarios have been taken into consideration. The results obtained show that the proposed system is better than existing systems of VM scheduling, which does not consider current temperature of nodes before making scheduling decisions. Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated.

Prediction Based Proactive Thermal Virtual Machine Scheduling in Green Clouds

Science.gov (United States)

Kinger, Supriya; Kumar, Rajesh; Sharma, Anju

2014-01-01

Cloud computing has rapidly emerged as a widely accepted computing paradigm, but the research on Cloud computing is still at an early stage. Cloud computing provides many advanced features but it still has some shortcomings such as relatively high operating cost and environmental hazards like increasing carbon footprints. These hazards can be reduced up to some extent by efficient scheduling of Cloud resources. Working temperature on which a machine is currently running can be taken as a criterion for Virtual Machine (VM) scheduling. This paper proposes a new proactive technique that considers current and maximum threshold temperature of Server Machines (SMs) before making scheduling decisions with the help of a temperature predictor, so that maximum temperature is never reached. Different workload scenarios have been taken into consideration. The results obtained show that the proposed system is better than existing systems of VM scheduling, which does not consider current temperature of nodes before making scheduling decisions. Thus, a reduction in need of cooling systems for a Cloud environment has been obtained and validated. PMID:24737962

A transportation-scheduling system for managing silvicultural projects

Science.gov (United States)

Jorge F. Valenzuela; H. Hakan Balci; Timothy McDonald

2005-01-01

A silvicultural project encompasses tasks such as sitelevel planning, regeneration, harvestin, and stand-tending treatments. an essential problem in managing silvicultural projects is to efficiently schedule the operations while considering project task due dates and costs of moving scarce resources to specific job locations. Transportation costs represent a...

An Efficient Meta Heuristic Algorithm to Solve Economic Load Dispatch Problems

Directory of Open Access Journals (Sweden)

R Subramanian

2013-12-01

Full Text Available The Economic Load Dispatch (ELD problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA, for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to limits on generator true power output and transmission losses. The MFA is a stochastic, Meta heuristic approach based on the idealized behaviour of the flashing characteristics of fireflies. This paper presents an application of MFA to ELD for six generator test case system. MFA is applied to ELD problem and compared its solution quality and computation efficiency to Genetic algorithm (GA, Differential Evolution (DE, Particle swarm optimization (PSO, Artificial Bee Colony optimization (ABC, Biogeography-Based Optimization (BBO, Bacterial Foraging optimization (BFO, Firefly Algorithm (FA techniques. The simulation result shows that the proposed algorithm outperforms previous optimization methods.

Discrete Bat Algorithm for Optimal Problem of Permutation Flow Shop Scheduling

Science.gov (United States)

Luo, Qifang; Zhou, Yongquan; Xie, Jian; Ma, Mingzhi; Li, Liangliang

2014-01-01

A discrete bat algorithm (DBA) is proposed for optimal permutation flow shop scheduling problem (PFSP). Firstly, the discrete bat algorithm is constructed based on the idea of basic bat algorithm, which divide whole scheduling problem into many subscheduling problems and then NEH heuristic be introduced to solve subscheduling problem. Secondly, some subsequences are operated with certain probability in the pulse emission and loudness phases. An intensive virtual population neighborhood search is integrated into the discrete bat algorithm to further improve the performance. Finally, the experimental results show the suitability and efficiency of the present discrete bat algorithm for optimal permutation flow shop scheduling problem. PMID:25243220

Discrete bat algorithm for optimal problem of permutation flow shop scheduling.

Science.gov (United States)

Luo, Qifang; Zhou, Yongquan; Xie, Jian; Ma, Mingzhi; Li, Liangliang

2014-01-01

A discrete bat algorithm (DBA) is proposed for optimal permutation flow shop scheduling problem (PFSP). Firstly, the discrete bat algorithm is constructed based on the idea of basic bat algorithm, which divide whole scheduling problem into many subscheduling problems and then NEH heuristic be introduced to solve subscheduling problem. Secondly, some subsequences are operated with certain probability in the pulse emission and loudness phases. An intensive virtual population neighborhood search is integrated into the discrete bat algorithm to further improve the performance. Finally, the experimental results show the suitability and efficiency of the present discrete bat algorithm for optimal permutation flow shop scheduling problem.

Economic feasibility of an energy efficiency project for a steam distribution system in a chemical industry

Directory of Open Access Journals (Sweden)

Flavia Melo Menezes

2017-12-01

Full Text Available The burning of fossil fuels majorly contributes to the increase in global warming, and it represents 93% of greenhouse gases emissions in the chemical industry. Most of the energy demand in this sector is associated with steam systems, where 1/3 of the energy efficiency opportunities are located in its distribution system. However, most of the literature focuses on the design of new systems. Those that deal with existing systems, not always use simple and available methods. Furthermore, they address energy losses of steam systems only due to thermal insulation, ignoring those due to leakages of traps. Given this context, the purpose of this paper is to determine the economic feasibility of an energy efficiency project for a steam distribution system in a chemical industry, located in the metropolitan region of Salvador, Brazil. First, the energy lost in the steam distribution system through heat insulation and steam traps was estimated by applying thermodynamic principles, and technic consulting, respectively. Then, investments were estimated using commercial prices for new thermal insulation and steam traps. Finally, an economic evaluation of the improvement project was made, through the construction of a cash flow, and calculation of economic indicators: payback time, net present value (NPV, and internal rate of return (IRR. Economic indicators showed that the project is economically viable. The NPV and IRR reached approximately 5 million reais, and 66% per year, respectively. Additionally, this project also had social and environmental benefits, such as a reduction in greenhouse gases emissions, and increased local water availability.

Optimal short-term operation schedule of a hydropower plant in a competitive electricity market

International Nuclear Information System (INIS)

Perez-Diaz, Juan I.; Wilhelmi, Jose R.; Arevalo, Luis A.

2010-01-01

This paper presents a dynamic programming model to solve the short-term scheduling problem of a hydropower plant that sells energy in a pool-based electricity market with the objective of maximizing the revenue. This is a nonlinear and non-concave problem subject to strong technical and strategic constraints, and in which discrete and continuous variables take part. The model described in this paper determines, in each hour of the planning horizon (typically from one day to one week), both the optimal number of units in operation (unit commitment) and the power to be generated by the committed units (generation dispatch). The power generated by each unit is considered as a nonlinear function of the actual water discharge and volume of the associated reservoir. The dependence of the units' efficiency and operating limits with the available gross head is also accounted for in this model. The application of this model to a real hydropower plant demonstrates its capabilities in providing the operation schedule that maximizes the revenue of the hydro plant while satisfying several constraints of different classes. In addition, the use of this model as a supporting tool to estimate the economic feasibility of a hydropower plant development project is also analyzed in the paper. (author)

Time and Energy Efficient DVS Scheduling for Real-Time Pinwheel Tasks

OpenAIRE

Da-Ren, Chen; Young-Long, Chen; You-Shyang, Chen

2014-01-01

Dynamic voltage/frequency scaling (DVFS) is one of the most effective techniques for reducing energy use. In this paper, we focus on the pinwheel task model to develop a variable voltage processor with d discrete voltage/speed levels. Depending on the granularity of execution unit to which voltage scaling is applied, DVFS scheduling can be defined in two categories: (i) inter-task DVFS and (ii) intra-task DVFS. In the periodic pinwheel task model, we modified the definitions of both intra- an...

Economics of generating electricity from nuclear power

International Nuclear Information System (INIS)

Boadu, H.O.

2001-01-01

The paper reviews and compares experiences and projected future construction and electricity generation costs for nuclear and fossil fired power plants. On the basis of actual operating experience, nuclear power has been demonstrated to be economically competitive with other base load generation options, and international studies project that this economic competitiveness will be largely maintained in the future, over a range of conditions and in a number of countries. However, retaining and improving this competitive position requires concerted efforts to ensure that nuclear plants are constructed within schedule and budgets, and are operated reliably and efficiently. Relevant cost impacting factors is identified, and conclusions for successful nuclear power plant construction and operation are drawn. The desire to attain sustainable development with balanced resource use and control of the environmental and climate impacts of energy systems could lead to renewed interest in nuclear power as an energy source that does not emit greenhouse gases, thus contributing to a revival of the nuclear option. In this regard, mitigation of emissions from fossil-fuelled power plants could lead to restrictions of fossil fuel use and/or result in higher costs of fossil based generation, thus improving the economic competitiveness of nuclear power (au)

Health economics, equity, and efficiency: are we almost there?

Science.gov (United States)

Ferraz, Marcos Bosi

2015-01-01

Health care is a highly complex, dynamic, and creative sector of the economy. While health economics has to continue its efforts to improve its methods and tools to better inform decisions, the application needs to be aligned with the insights and models of other social sciences disciplines. Decisions may be guided by four concept models based on ethical and distributive justice: libertarian, communitarian, egalitarian, and utilitarian. The societal agreement on one model or a defined mix of models is critical to avoid inequity and unfair decisions in a public and/or private insurance-based health care system. The excess use of methods and tools without fully defining the basic goals and philosophical principles of the health care system and without evaluating the fitness of these measures to reaching these goals may not contribute to an efficient improvement of population health.

Economics of appliance efficiency

International Nuclear Information System (INIS)

Tiedemann, K.H.

2009-01-01

Several significant developments occurred in 2001 that affect the impact of market transformation programs. This paper presented and applied an econometric approach to the identification and estimation of market models for refrigerators, clothes washers, dishwashers and room air conditioners. The purpose of the paper was to understand the impact of energy conservation policy developments on sales of energy efficient appliances. The paper discussed the approach with particular reference to building a database of sales and drivers of sales using publicly available information; estimation of the determinants of sales using econometric models; and estimation of the individual impacts of prices, gross domestic product (GDP) and energy conservation policies on sales using regression results. Market and policy developments were also presented, such as change a light, save the world promotion; the California energy crisis; and the Pacific Northwest drought induced hydro power shortage. It was concluded that an increase in GDP increased the sales of both more efficient and less efficient refrigerators, clothes washers, dishwashers, and room air conditioners. An increase in electricity price increased sales of Energy Star refrigerators, clothes washers, dishwashers, and room air conditioners. 4 refs., 8 tabs.

An On-Time Power-Aware Scheduling Scheme for Medical Sensor SoC-Based WBAN Systems

Directory of Open Access Journals (Sweden)

Jung-Guk Kim

2012-12-01

Full Text Available The focus of many leading technologies in the field of medical sensor systems is on low power consumption and robust data transmission. For example, the implantable cardioverter-defibrillator (ICD, which is used to maintain the heart in a healthy state, requires a reliable wireless communication scheme with an extremely low duty-cycle, high bit rate, and energy-efficient media access protocols. Because such devices must be sustained for over 5 years without access to battery replacement, they must be designed to have extremely low power consumption in sleep mode. Here, an on-time, energy-efficient scheduling scheme is proposed that performs power adjustments to minimize the sleep-mode current. The novelty of this scheduler is that it increases the determinacy of power adjustment and the predictability of scheduling by employing non-pre-emptible dual priority scheduling. This predictable scheduling also guarantees the punctuality of important periodic tasks based on their serialization, by using their worst case execution time and the power consumption optimization. The scheduler was embedded into a system on chip (SoC developed to support the wireless body area network—a wakeup-radio and wakeup-timer for implantable medical devices. This scheduling system is validated by the experimental results of its performance when used with life-time extensions of ICD devices.

2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

Energy Technology Data Exchange (ETDEWEB)

United States. Bonneville Power Administration.

2006-11-01

This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.