WorldWideScience

Sample records for warehouses

  1. Model Warehouse

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    This paper puts forward a new conception:model warehouse,analyzes the reason why model warehouse appears and introduces the characteristics and architecture of model warehouse.Last,this paper points out that model warehouse is an important part of WebGIS.

  2. Warehouse automation

    OpenAIRE

    Pogačnik, Jure

    2017-01-01

    An automated high bay warehouse is commonly used for storing large number of material with a high throughput. In an automated warehouse pallet movements are mainly performed by a number of automated devices like conveyors systems, trolleys, and stacker cranes. From the introduction of the material to the automated warehouse system to its dispatch the system requires no operator input or intervention since all material movements are done automatically. This allows the automated warehouse to op...

  3. Music Warehouses

    DEFF Research Database (Denmark)

    Deliege, Francois; Pedersen, Torben Bach

    2006-01-01

    Music Information Retrieval has received increasing attention from both the industrial and the research communities in recent years. Many audio extraction techniques providing content-based music information have been developed, sparking the need for intelligent storage and retrieval facilities....... This paper proposes to satisfy this need by extending technology from business-oriented data warehouses to so-called music warehouses that integrate a large variety of music-related information, including both low-level features and high-level musical information. Music warehouses thus help to close...... the “semantic gap” by supporting integrated querying of these two kinds of music data. This paper presents a number of new challenges for the database community that must be taken up to meet the particular demands of music warehouses....

  4. Warehouse Sanitation Workshop Handbook.

    Science.gov (United States)

    Food and Drug Administration (DHHS/PHS), Washington, DC.

    This workshop handbook contains information and reference materials on proper food warehouse sanitation. The materials have been used at Food and Drug Administration (FDA) food warehouse sanitation workshops, and are selected by the FDA for use by food warehouse operators and for training warehouse sanitation employees. The handbook is divided…

  5. Conceptual Data Warehouse Structures

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    1998-01-01

    We analyze some of the problems related to conceptual modeling in data warehousing environments. The long-term data warehousing challenge is flexibility rather than efficiency. The reason is that most warehouses will contain growing collections of historical data that are supposed to satisfy...... changing information needs. We show how the event-entity-relationship model (EVER) can be used for schema design and query formulation in data warehouses. Our work is based on a layered data warehouse architecture in which a global data warehouse is used for flexible long-term organization and storage...... of all warehouse data whereas local data warehouses are used for efficient query formulation and answering. In order to support flexible modeling of global warehouses we use a flexible version of EVER for global schema design. In order to support efficient query formulation in local data warehouses we...

  6. Automation in Warehouse Development

    CERN Document Server

    Verriet, Jacques

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and supports the quality of picking processes. Secondly, the development of models to simulate and analyse warehouse designs and their components facilitates the challenging task of developing warehouses that take into account each customer’s individual requirements and logistic processes. Automation in Warehouse Development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and auton...

  7. Conceptual Data Warehouse Structures

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    1998-01-01

    changing information needs. We show how the event-entity-relationship model (EVER) can be used for schema design and query formulation in data warehouses. Our work is based on a layered data warehouse architecture in which a global data warehouse is used for flexible long-term organization and storage......We analyze some of the problems related to conceptual modeling in data warehousing environments. The long-term data warehousing challenge is flexibility rather than efficiency. The reason is that most warehouses will contain growing collections of historical data that are supposed to satisfy...... of all warehouse data whereas local data warehouses are used for efficient query formulation and answering. In order to support flexible modeling of global warehouses we use a flexible version of EVER for global schema design. In order to support efficient query formulation in local data warehouses we...

  8. Automation in Warehouse Development

    NARCIS (Netherlands)

    Hamberg, R.; Verriet, J.

    2012-01-01

    The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and support

  9. Evaluation of warehouse workers productivity

    OpenAIRE

    Štěpánková, Anna

    2015-01-01

    The aim of this diploma thesis is to create a new system to measure and evaluate the productivity of warehouse processes in Euromedia books wholesale warehouse. The Warehouse management system (WMS) is implemented in the warehouse, so the company has information about processes within warehouse. However, the system does not have any tool to measure and report the productivity of individual workers and shifts. So the manager of the warehouse does not have enough data for efficient human resour...

  10. Envirofacts Data Warehouse

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Envirofacts Data Warehouse contains information from select EPA Environmental program office databases and provides access about environmental activities that...

  11. Envirofacts Data Warehouse

    Science.gov (United States)

    The Envirofacts Data Warehouse contains information from select EPA Environmental program office databases and provides access about environmental activities that may affect air, water, and land anywhere in the United States. The Envirofacts Warehouse supports its own web enabled tools as well as a host of other EPA applications.

  12. Building a Data Warehouse.

    Science.gov (United States)

    Levine, Elliott

    2002-01-01

    Describes how to build a data warehouse, using the Schools Interoperability Framework (www.sifinfo.org), that supports data-driven decision making and complies with the Freedom of Information Act. Provides several suggestions for building and maintaining a data warehouse. (PKP)

  13. Database Vs Data Warehouse

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Data warehouse technology includes a set of concepts and methods that offer the users useful information for decision making. The necessity to build a data warehouse arises from the necessity to improve the quality of information in the organization. The date proceeding from different sources, having a variety of forms - both structured and unstructured, are filtered according to business rules and are integrated in a single large data collection. Using informatics solutions, managers have understood that data stored in operational systems - including databases, are an informational gold mine that must be exploited. Data warehouses have been developed to answer the increasing demands for complex analysis, which could not be properly achieved with operational databases. The present paper emphasizes some of the criteria that information application developers can use in order to choose between a database solution or a data warehouse one.

  14. HRSA Data Warehouse

    Data.gov (United States)

    U.S. Department of Health & Human Services — The HRSA Data Warehouse is the go-to source for data, maps, reports, locators, and dashboards on HRSA's public health programs. This website provides a wide variety...

  15. USGS Publications Warehouse

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The USGS Publications Warehouse is a metadata clearinghouse of all USGS Series Publications produced by the bureau since 1879. It is managed and operated as part of...

  16. Public Refrigerated Warehouses

    Data.gov (United States)

    Department of Homeland Security — The International Association of Refrigerated Warehouses (IARW) came into existence in 1891 when a number of conventional warehousemen took on the demands of storing...

  17. Chronic Condition Data Warehouse

    Data.gov (United States)

    U.S. Department of Health & Human Services — The CMS Chronic Condition Data Warehouse (CCW) provides researchers with Medicare and Medicaid beneficiary, claims, and assessment data linked by beneficiary across...

  18. HRSA Geospatial Data Warehouse (HGDW)

    Data.gov (United States)

    U.S. Department of Health & Human Services — HRSA Geospatial Data Warehouse (HGDW): The HRSA Geospatial Data Warehouse (HGDW) provides a single point of access to current HRSA information, health resources,...

  19. Warehouse Simulation Through Model Configuration

    NARCIS (Netherlands)

    Verriet, J.H.; Hamberg, R.; Caarls, J.; Wijngaarden, B. van

    2013-01-01

    The pre-build development of warehouse systems leads from a specific customer request to a specific customer quotation. This involves a process of configuring a warehouse system using a sequence of steps that contain increasingly more details. Simulation is a helpful tool in analyzing warehouse desi

  20. DATA WAREHOUSES SECURITY IMPLEMENTATION

    Directory of Open Access Journals (Sweden)

    Burtescu Emil

    2009-05-01

    Full Text Available Data warehouses were initially implemented and developed by the big firms and they were used for working out the managerial problems and for making decisions. Later on, because of the economic tendencies and of the technological progress, the data warehou

  1. 7 CFR 1427.11 - Warehouse receipts.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse receipts. 1427.11 Section 1427.11... Deficiency Payments § 1427.11 Warehouse receipts. (a) Producers may obtain loans on eligible cotton represented by warehouse receipts only if the warehouse receipts meet the definition of a warehouse...

  2. Health Claims Data Warehouse (HCDW)

    Data.gov (United States)

    Office of Personnel Management — The Health Claims Data Warehouse (HCDW) will receive and analyze health claims data to support management and administrative purposes. The Federal Employee Health...

  3. Fire detection in warehouse facilities

    CERN Document Server

    Dinaburg, Joshua

    2013-01-01

    Automatic sprinklers systems are the primary fire protection system in warehouse and storage facilities. The effectiveness of this strategy has come into question due to the challenges presented by modern warehouse facilities, including increased storage heights and areas, automated storage retrieval systems (ASRS), limitations on water supplies, and changes in firefighting strategies. The application of fire detection devices used to provide early warning and notification of incipient warehouse fire events is being considered as a component of modern warehouse fire protection.Fire Detection i

  4. The Data Warehouse Lifecycle Toolkit

    CERN Document Server

    Kimball, Ralph; Thornthwaite, Warren; Mundy, Joy; Becker, Bob

    2011-01-01

    A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systemsThe world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerge

  5. Contextualizing Data Warehouses with Documents

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Berlanga, Rafael; Aramburu, Maria Jose

    2008-01-01

    Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data...... warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, the user first selects an analysis context by supplying some keywords. Then, the analysis is performed on a novel type of OLAP cube, called an R-cube, which is materialized by retrieving and ranking the documents...

  6. Actions for data warehouse success

    Directory of Open Access Journals (Sweden)

    Aziza CHAKIR

    2013-09-01

    Full Text Available Problem statement: The Data Warehouse is a database dedicated to the storage of all data used in the decision analysis, it meets the customer requirements, to ensure, in time, that a data warehouse complies with the rules of construction and manages the evolutions necessary of the information system (IS. Results: According to the studies carried out, we see that a system based on a data warehouse governed by the best practices of The Information Technology Infrastructure Library (ITIL and equipped with a multi-agent system will make it possible our direction to ensure governance tending towards the optimization of the exploitation of the data warehouse.

  7. 7 CFR 1421.107 - Warehouse receipts.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse receipts. 1421.107 Section 1421.107... § 1421.107 Warehouse receipts. (a) Warehouse receipts tendered to CCC under § 1421.3 for marketing... program documents. (b) Warehouse receipts must be issued in the name of the eligible producer or CCC....

  8. On building Information Warehouses

    CERN Document Server

    Laha, Arijit

    2009-01-01

    One of the most important goals of information management (IM) is supporting the knowledge workers in performing their works. In this paper we examine issues of relevance, linkage and provenance of information, as accessed and used by the knowledge workers. These are usually not adequately addressed in most of the IT based solutions for IM. Here we propose a non-conventional approach for building information systems for supporting the knowledge workers which addresses these issues. The approach leads to the ideas of building Information Warehouses (IW) and Knowledge work Support Systems (KwSS). Such systems can open up potential for building innovative applications of significant impact, including those capable of helping organizations in implementing processes for double-loop learning.

  9. University Accreditation using Data Warehouse

    Science.gov (United States)

    Sinaga, A. S.; Girsang, A. S.

    2017-01-01

    The accreditation aims assuring the quality the quality of the institution education. The institution needs the comprehensive documents for giving the information accurately before reviewed by assessor. Therefore, academic documents should be stored effectively to ease fulfilling the requirement of accreditation. However, the data are generally derived from various sources, various types, not structured and dispersed. This paper proposes designing a data warehouse to integrate all various data to prepare a good academic document for accreditation in a university. The data warehouse is built using nine steps that was introduced by Kimball. This method is applied to produce a data warehouse based on the accreditation assessment focusing in academic part. The data warehouse shows that it can analyse the data to prepare the accreditation assessment documents.

  10. 7 CFR 735.303 - Electronic warehouse receipts.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Electronic warehouse receipts. 735.303 Section 735.303... AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Receipts § 735.303 Electronic warehouse receipts. (a) Warehouse operators issuing EWR under the Act may issue...

  11. 7 CFR 735.107 - Warehouse charges and tariffs.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Warehouse charges and tariffs. 735.107 Section 735.107... AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Licensing § 735.107 Warehouse charges and tariffs. (a) A warehouse operator must not make any unreasonable...

  12. 7 CFR 735.302 - Paper warehouse receipts.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Paper warehouse receipts. 735.302 Section 735.302... AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Receipts § 735.302 Paper warehouse receipts. Paper warehouse receipts must be issued as follows: (a)...

  13. 7 CFR 735.300 - Warehouse receipt requirements.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Warehouse receipt requirements. 735.300 Section 735..., DEPARTMENT OF AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Warehouse Receipts § 735.300 Warehouse receipt requirements. (a) Warehouse receipts may be: (1)...

  14. 7 CFR 1423.10 - Exceptions for United States Warehouse Act licensed warehouses.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Exceptions for United States Warehouse Act licensed warehouses. 1423.10 Section 1423.10 Agriculture Regulations of the Department of Agriculture (Continued... CREDIT CORPORATION APPROVED WAREHOUSES § 1423.10 Exceptions for United States Warehouse Act...

  15. The PANGAEA® Data Warehouse

    Science.gov (United States)

    Schindler, U.; Diepenbroek, M.; Grobe, H.; Sieger, R.

    2009-04-01

    PANGAEA® - Publishing Network for Geoscientific & Environmental Data (www.pangaea.de) currently provides published data entities for download that can be cited like publications using authors, year, title and a Digital Object Identifier (DOI). A lot of scientists, especially modellers, need compilations of various data sets for analyzing. On the other hand, data producers want to be cited for their work, which is nearly impossible with huge compilations containing thousands of distinct data sets, especially when data compilation is done manually outside of the PANGAEA data library. We will present our recently introduced, AJAX-based web interface based on data warehouse technologies that can used for highly efficient retrievals and compilations of time slices or surface data matrixes on any measurement parameters out of the whole data continuum. The user is able to first select the original datasets using the current PANGAEA full text search engine (based on ISO 19115 metadata). After that he can select the configuration of measurement parameters and methods for the data compilation using an innovative scoring algorithm based on the original search query. The data matrix can be downloaded along with an ISO 19115 compatible metadata description about the compilation, referencing all original datasets. Additionally, each data point can be traced back to the original, citable data set.

  16. A warehouse design decision model: case study

    OpenAIRE

    Geraldes, Carla A. S. (Ed.); Carvalho, Maria do Sameiro; Pereira, Guilherme

    2008-01-01

    Today’s competitive and volatile market requires flexibility, quality and efficiency from the logistics operations. In this context, warehouses are an important link of the logistic chain and warehouse management plays an important role over customer's service. Throughout this work we analyze a mathematical model aiming to support warehouse management decisions. A case study is used for that purpose and the model jointly identifies product allocation to the functional areas in the warehouse, ...

  17. Structuring warehouse management: Exploring the fit between warehouse characteristics and warehouse planning and control structure, and its effect on warehouse performance

    OpenAIRE

    Faber, Nynke

    2015-01-01

    markdownabstractAbstract This dissertation studies the management processes that plan, control, and optimize warehouse operations. The inventory in warehouses decouples supply from demand. As such, economies of scale can be achieved in production, purchasing, and transport. As warehouses become more and more vital for the success of many companies, they are facing increasing demands with respect to costs, productivity, and customer service. At the same time, warehouse operations have become m...

  18. BioWarehouse: a bioinformatics database warehouse toolkit

    Directory of Open Access Journals (Sweden)

    Stringer-Calvert David WJ

    2006-03-01

    Full Text Available Abstract Background This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational database managers. BioWarehouse integrates its component databases into a common representational framework within a single database management system, thus enabling multi-database queries using the Structured Query Language (SQL but also facilitating a variety of database integration tasks such as comparative analysis and data mining. BioWarehouse currently supports the integration of a pathway-centric set of databases including ENZYME, KEGG, and BioCyc, and in addition the UniProt, GenBank, NCBI Taxonomy, and CMR databases, and the Gene Ontology. Loader tools, written in the C and JAVA languages, parse and load these databases into a relational database schema. The loaders also apply a degree of semantic normalization to their respective source data, decreasing semantic heterogeneity. The schema supports the following bioinformatics datatypes: chemical compounds, biochemical reactions, metabolic pathways, proteins, genes, nucleic acid sequences, features on protein and nucleic-acid sequences, organisms, organism taxonomies, and controlled vocabularies. As an application example, we applied BioWarehouse to determine the fraction of biochemically characterized enzyme activities for which no sequences exist in the public sequence databases. The answer is that no sequence exists for 36% of enzyme activities for which EC numbers have been assigned. These gaps in sequence data significantly limit the accuracy of genome annotation and metabolic pathway prediction, and are a barrier for metabolic engineering. Complex queries of this type provide examples of the value of the data warehousing approach to bioinformatics research. Conclusion BioWarehouse embodies significant progress on the

  19. Structuring warehouse management : Exploring the fit between warehouse characteristics and warehouse planning and control structure, and its effect on warehouse performance

    NARCIS (Netherlands)

    N. Faber (Nynke)

    2015-01-01

    markdownabstractThis dissertation studies the management processes that plan, control, and optimize warehouse operations. The inventory in warehouses decouples supply from demand. As such, economies of scale can be achieved in production, purchasing, and transport. As warehouses become more and more

  20. Structuring warehouse management : Exploring the fit between warehouse characteristics and warehouse planning and control structure, and its effect on warehouse performance

    NARCIS (Netherlands)

    N. Faber (Nynke)

    2015-01-01

    markdownabstractAbstract This dissertation studies the management processes that plan, control, and optimize warehouse operations. The inventory in warehouses decouples supply from demand. As such, economies of scale can be achieved in production, purchasing, and transport. As warehouses become mor

  1. Stochastic Modelling and Analysis of Warehouse Operations

    NARCIS (Netherlands)

    Y. Gong (Yeming)

    2009-01-01

    textabstractThis thesis has studied stochastic models and analysis of warehouse operations. After an overview of stochastic research in warehouse operations, we explore the following topics. Firstly, we search optimal batch sizes in a parallel-aisle warehouse with online order arrivals. We employ a

  2. Cooperation between Multiple Newsvendors with Warehouses

    NARCIS (Netherlands)

    Ozen, U.; Fransoo, J.; Norde, H.W.; Slikker, M.

    2004-01-01

    This study considers a supply chain that consists of n retailers, each of them facing a newsvendor problem, m warehouses and a supplier.The retailers are supplied with a single product via some warehouses.In these warehouses, the ordered amounts of goods of these retailers become available after

  3. Electronic warehouse receipts registry as a step from paper to electronic warehouse receipts

    Directory of Open Access Journals (Sweden)

    Kovačević Vlado

    2016-01-01

    Full Text Available The aim of this paper is to determine the economic viability of the electronic warehouse receipt registry introduction, as a step toward electronic warehouse receipts. Both forms of warehouse receipt paper and electronic exist in practice, but paper warehouse receipts are more widespread. In this paper, the dematerialization process is analyzed in two steps. The first step is the dematerialization of warehouse receipt registry, with warehouse receipts still in paper form. The second step is the introduction of electronic warehouse receipts themselves. Dematerialization of warehouse receipts is more complex than that for financial securities, because of the individual characteristics of each warehouse receipt. As a consequence, electronic warehouse receipts are in place for only to a handful of commodities, namely cotton and a few grains. Nevertheless, the movement towards the electronic warehouse receipt, which began several decades ago with financial securities, is now taking hold in the agricultural sector. In this paper is analyzed Serbian electronic registry, since the Serbia is first country in EU with electronic warehouse receipts registry donated by FAO. Performed analysis shows the considerable impact of electronic warehouse receipts registry establishment on enhancing the security of the system of public warehouses, and on advancing the trade with warehouse receipt.

  4. Security Data Warehouse Application

    Science.gov (United States)

    Vernon, Lynn R.; Hennan, Robert; Ortiz, Chris; Gonzalez, Steve; Roane, John

    2012-01-01

    The Security Data Warehouse (SDW) is used to aggregate and correlate all JSC IT security data. This includes IT asset inventory such as operating systems and patch levels, users, user logins, remote access dial-in and VPN, and vulnerability tracking and reporting. The correlation of this data allows for an integrated understanding of current security issues and systems by providing this data in a format that associates it to an individual host. The cornerstone of the SDW is its unique host-mapping algorithm that has undergone extensive field tests, and provides a high degree of accuracy. The algorithm comprises two parts. The first part employs fuzzy logic to derive a best-guess host assignment using incomplete sensor data. The second part is logic to identify and correct errors in the database, based on subsequent, more complete data. Host records are automatically split or merged, as appropriate. The process had to be refined and thoroughly tested before the SDW deployment was feasible. Complexity was increased by adding the dimension of time. The SDW correlates all data with its relationship to time. This lends support to forensic investigations, audits, and overall situational awareness. Another important feature of the SDW architecture is that all of the underlying complexities of the data model and host-mapping algorithm are encapsulated in an easy-to-use and understandable Perl language Application Programming Interface (API). This allows the SDW to be quickly augmented with additional sensors using minimal coding and testing. It also supports rapid generation of ad hoc reports and integration with other information systems.

  5. Pemanfaatan Data Warehouse pada Institusi Pemerintahan

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2012-06-01

    Full Text Available Data warehouse has a very important role in assisting of decision making, where the data warehouse became the core. Data in the data warehouse provide valuable information for its users. By using data warehouse, governance institutions can conduct data analyzes in order to build new strategies to make benefits for all stakeholders. This paper discusses about the design of data warehouse in Balai Besar Riset Sosial Ekonomi dan Kelautan. Data warehouse design using dimensional model approach introduced by Kimball. The information required by management at Balai Besar Riset Sosial Ekonimi dan Kelautan are divided into three groups: income, consumption and commerce. With the data warehouse organizations can easily perform analyses and generate reports, which can be viewed from various scopes, including time, region, fishermen and fisheries.

  6. Enhancing ETL Performance with Warehouse Builder

    Directory of Open Access Journals (Sweden)

    Manole VELICANU

    2013-07-01

    Full Text Available We live in a dynamic world, in a permanent move, were performance of information systems continually increases. Thus, the need of being informed, regardless of place or time, is very great using data warehouses solutions. Therefore, the need for efficient information systems is very high. The efficiency can be achieved by using various methods/techniques and technologies "to build" the data warehouse. The ones, we will present in our paper, are: methods of Enhancing ETL Performance with Warehouse Builder: the purpose of ETL strategies is to create an integrated, complex, coherent software solution; techniques of data warehouse optimization: in order to improve the performance of data warehouse processing can be applied several optimization techniques; and "in terms" of technology, we will consider: data warehouses (using Oracle Warehouse Builder.

  7. Energy Finance Data Warehouse Manual

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Sangkeun [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Chinthavali, Supriya [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Shankar, Mallikarjun [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Zeng, Claire [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Hendrickson, Stephen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2016-11-30

    The Office of Energy Policy and Systems Analysis s finance team (EPSA-50) requires a suite of automated applications that can extract specific data from a flexible data warehouse (where datasets characterizing energy-related finance, economics and markets are maintained and integrated), perform relevant operations and creatively visualize them to provide a better understanding of what policy options affect various operators/sectors of the electricity system. In addition, the underlying data warehouse should be structured in the most effective and efficient way so that it can become increasingly valuable over time. This report describes the Energy Finance Data Warehouse (EFDW) framework that has been developed to accomplish the defined requirement above. We also specifically dive into the Sankey generator use-case scenario to explain the components of the EFDW framework and their roles. An excel-based data warehouse was used in the creation of the energy finance Sankey diagram and other detailed data finance visualizations to support energy policy analysis. The framework also captures the methodology, calculations and estimations analysts used for the calculation as well as relevant sources so newer analysts can build on work done previously.

  8. Development of Geological Data Warehouse

    Institute of Scientific and Technical Information of China (English)

    Li Zhenhua; Hu Guangdao; Zhang Zhenfei

    2003-01-01

    Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in different levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis always needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.

  9. 27 CFR 26.211 - Warehouse receipts covering distilled spirits.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Warehouse receipts... and Recordkeeping § 26.211 Warehouse receipts covering distilled spirits. The sale of warehouse..., warehouse receipts for distilled spirits stored in warehouses, or elsewhere, must register and keep...

  10. Data Warehouse Architecture for DSS Applciations

    Directory of Open Access Journals (Sweden)

    V. J. Anand

    1996-11-01

    Full Text Available A data warehouse facilitates the integration of disparate operational databases in an enterprise into a single store. The warehouse then provides knowledge workers with easy access to historical, summarized and other forms of aggregated data. A major flaw in present warehouse architectures is the de-coupling of the warehouse database from its underlying operational databases. This creates two problems: the difficulty in updating the warehouse and the inability to provide users with a drill-down feature from warehouse to current data. We propose an architecture that is based on a federated database system extended to incorporate a materialized warehouse. A federated database provides the basic mechanism to tightly couple heterogeneous databases, which in this case are the operational and warehouse databases. The warehouse database is a special component in the federation, made up of historical data, external data and materialized views of the operational data. This approach enables users to access historical and current data when required, and provides a method of maintaining the warehouse as an integrated view of the underlying operational data sources.

  11. 76 FR 12364 - Agency Information Collection Activities: Bonded Warehouse Regulations

    Science.gov (United States)

    2011-03-07

    ... SECURITY U.S. Customs and Border Protection Agency Information Collection Activities: Bonded Warehouse... Bonded Warehouse Regulations. This request for comment is being made pursuant to the Paperwork Reduction... concerning the following information collection: Title: Bonded Warehouse Regulations. OMB Number:...

  12. DWEB: A Data Warehouse Engineering Benchmark

    CERN Document Server

    Darmont, Jérôme; Boussaïd, Omar

    2005-01-01

    Data warehouse architectural choices and optimization techniques are critical to decision support query performance. To facilitate these choices, the performance of the designed data warehouse must be assessed. This is usually done with the help of benchmarks, which can either help system users comparing the performances of different systems, or help system engineers testing the effect of various design choices. While the TPC standard decision support benchmarks address the first point, they are not tuneable enough to address the second one and fail to model different data warehouse schemas. By contrast, our Data Warehouse Engineering Benchmark (DWEB) allows to generate various ad-hoc synthetic data warehouses and workloads. DWEB is fully parameterized to fulfill data warehouse design needs. However, two levels of parameterization keep it relatively easy to tune. Finally, DWEB is implemented as a Java free software that can be interfaced with most existing relational database management systems. A sample usag...

  13. Creation of Warehouse Models for Different Layout Designs

    OpenAIRE

    Köhler, Mirko; Lukić, Ivica; Nenadić, Krešimir

    2014-01-01

    Warehouse is one of the most important components in logistics of the supply chain network. Efficiency of warehouse operations is influenced by many different factors. One of the key factors is the racks layout configuration. A warehouse with good racks layout may significantly reduce the cost of warehouse servicing. The objective of this paper is to give a scheme for building warehouses models with one-block and two-block layout for future research in warehouse optimization. An algorithm ...

  14. Advances in DataWarehouse: A Survey

    Directory of Open Access Journals (Sweden)

    Tonáhtiu Arturo Ramírez Romero

    2016-04-01

    Full Text Available In this work we present a brief introduction to data warehouse,followed by the most relevant topics in the last years. First shown Knowledge warehouse, which is a data warehouse for data sources formatted or unformatted, later we present Data warehouse Federation, It focuses to interconnect different systems established by access rules, after we present Near Real Time – ETL which aims to update the stores quickly and close to online systems, later DW quality and finally QuiDA Architecture

  15. An Empirical Analysis of Humanitarian Warehouse Locations

    Directory of Open Access Journals (Sweden)

    Sander de Leeuw

    2016-06-01

    Full Text Available The purpose of this paper is to empirically verify characteristics of current warehouse locations of humanitarian organizations (based on public information and to relate those to the model developed by Richardson, de Leeuw and Dullaert (2016. This paper is based on desk research. Public data such as (annual reports and databases are used to determine the features of the location in empirical terms. We find that a significant proportion of our sample co-locates their products at UNHRD premises. This suggests that organizations prefer to cluster their warehouse activities, particularly when there is no fee involved for using the warehouse (as is the case in the UNHRD network. The geographic map of the current warehouses, together with the quantified location factors, provides an overview of the current warehouse locations. We found that the characteristics of the current warehouse locations are aligned with literature on location selection factors. Current location can be characterized by infrastructure characteristics (in particular closeness to airport and safety concerns and by the low occurrence of disasters. Other factors that were considered by us but were not supported by empirical evidence were labor quality and availability as well as the political environment. In our study we were only able to use a limited sample of warehouses. We also focused our research on countries where two or more organizations have their warehouses located. We did not account for warehouse sizes or the kinds of products stored in our analysis.

  16. Layout and Routing Methods for Warehouses

    NARCIS (Netherlands)

    K.J. Roodbergen (Kees-Jan)

    2001-01-01

    textabstractLayout and Routing Methods for Warehouses discusses aspects of order picking in warehouses. Order picking is the process by which products are retrieved from storage to meet customer demand. Various new routing methods are introduced to determine efficient sequences in which products hav

  17. Integrating Data Warehouses with Web Data

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Berlanga, Rafael; Aramburu, Maria Jose

    This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query and retrieve web data, and their application to data warehouses. The paper addresses the problem of integrating...

  18. Information Architecture: The Data Warehouse Foundation.

    Science.gov (United States)

    Thomas, Charles R.

    1997-01-01

    Colleges and universities are initiating data warehouse projects to provide integrated information for planning and reporting purposes. A survey of 40 institutions with active data warehouse projects reveals the kinds of tools, contents, data cycles, and access currently used. Essential elements of an integrated information architecture are…

  19. Enhancing Warehouse Performance by Efficient Order Picking

    NARCIS (Netherlands)

    M. Yu (Mengfei)

    2008-01-01

    textabstractThis thesis studies order picking in warehouses. Order picking, the process of retrieval products from their storage locations to fill customer orders, is regarded as the most critical operation in a warehouse. Using stochastic modelling, we develop a model to estimate order picking syst

  20. Virtual cancer image data warehouse.

    Science.gov (United States)

    Oyama, H; Wakao, F; Mishina, T; Lu, Y; Honjo, A

    1997-01-01

    We previously developed a system with which we have created more than 100 virtual cancer images from CT or MR data of individual patients with cancer (Cancer Edutainment Virtual Reality Theater: CEVRT). These images can be used to help explain procedures, findings, etc. to the patient, to obtain informed consent, to simulate surgery, and to estimate cancer invasion to surrounding organs. We recently developed a web-based object-oriented database both to access these cancer images and to register medical images at international research sites via the Internet. In this report, we introduce an international medical VR data warehouse created using an object-oriented database.

  1. 27 CFR 24.141 - Bonded wine warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Bonded wine warehouse. 24... § 24.141 Bonded wine warehouse. Where all operations at a bonded wine warehouse are to be permanently discontinued, the warehouse proprietor shall file with the appropriate TTB officer a notice in letter form...

  2. 19 CFR 19.13 - Requirements for establishment of warehouse.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Requirements for establishment of warehouse. 19.13...; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN Manufacturing Warehouses § 19.13 Requirements for establishment of warehouse. (a) Buildings or parts...

  3. 27 CFR 26.45 - Warehouse receipts covering distilled spirits.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Warehouse receipts... Recordkeeping § 26.45 Warehouse receipts covering distilled spirits. The sale of warehouse receipts for... distilled spirits into the United States from Puerto Rico who sells, or offers for sale, warehouse...

  4. 19 CFR 144.27 - Withdrawal from warehouse by transferee.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Withdrawal from warehouse by transferee. 144.27...; DEPARTMENT OF THE TREASURY (CONTINUED) WAREHOUSE AND REWAREHOUSE ENTRIES AND WITHDRAWALS Transfer of Right To Withdraw Merchandise from Warehouse § 144.27 Withdrawal from warehouse by transferee. At any time...

  5. 19 CFR 144.34 - Transfer to another warehouse.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Transfer to another warehouse. 144.34 Section 144... THE TREASURY (CONTINUED) WAREHOUSE AND REWAREHOUSE ENTRIES AND WITHDRAWALS Withdrawals from Warehouse § 144.34 Transfer to another warehouse. (a) At the same port. With the concurrence of the proprietors...

  6. 19 CFR 19.17 - Application to establish warehouse; bond.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Application to establish warehouse; bond. 19.17...; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN Smelting and Refining Warehouses § 19.17 Application to establish warehouse; bond. (a) Application....

  7. 27 CFR 28.285 - Receipt in manufacturing bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... bonded warehouse. 28.285 Section 28.285 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX... Export Receipt in Manufacturing Bonded Warehouse § 28.285 Receipt in manufacturing bonded warehouse. On..., as amended, 1380, as amended (26 U.S.C. 5214, 5362)) Receipt in Customs Bonded Warehouse...

  8. 27 CFR 24.108 - Bonded wine warehouse application.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Bonded wine warehouse... wine warehouse application. A warehouse company or other person desiring to establish a bonded wine warehouse on bonded wine premises for storing wine or allied products for credit purposes shall file...

  9. 27 CFR 44.111 - Change in export warehouse premises.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Change in export warehouse... Qualification of Export Warehouse Proprietors Changes in Location and Premises § 44.111 Change in export warehouse premises. Where an export warehouse is to be changed to an extent which will make inaccurate...

  10. 19 CFR 144.14 - Removal to warehouse.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Removal to warehouse. 144.14 Section 144.14... TREASURY (CONTINUED) WAREHOUSE AND REWAREHOUSE ENTRIES AND WITHDRAWALS Requirements and Procedures for Warehouse Entry § 144.14 Removal to warehouse. When the entry summary, Customs Form 7501, and the bond...

  11. Web-enabled Data Warehouse and Data Webhouse

    Directory of Open Access Journals (Sweden)

    Cerasela PIRVU

    2008-01-01

    Full Text Available In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web-enabled data warehouse. The web revolution has propelled the data warehouse out onto the main stage, because in many situations the data warehouse must be the engine that controls or analysis the web experience. In order to step up to this new responsibility, the data warehouse must adjust. The nature of the data warehouse needs to be somewhat different. As a result, our data warehouses are becoming data webhouses. The data warehouse is becoming the infrastructure that supports customer relationship management (CRM. And the data warehouse is being asked to make the customer clickstream available for analysis. This rebirth of data warehousing architecture is called the data webhouse.

  12. DICOM Data Warehouse: Part 2.

    Science.gov (United States)

    Langer, Steve G

    2016-06-01

    In 2010, the DICOM Data Warehouse (DDW) was launched as a data warehouse for DICOM meta-data. Its chief design goals were to have a flexible database schema that enabled it to index standard patient and study information, modality specific tags (public and private), and create a framework to derive computable information (derived tags) from the former items. Furthermore, it was to map the above information to an internally standard lexicon that enables a non-DICOM savvy programmer to write standard SQL queries and retrieve the equivalent data from a cohort of scanners, regardless of what tag that data element was found in over the changing epochs of DICOM and ensuing migration of elements from private to public tags. After 5 years, the original design has scaled astonishingly well. Very little has changed in the database schema. The knowledge base is now fluent in over 90 device types. Also, additional stored procedures have been written to compute data that is derivable from standard or mapped tags. Finally, an early concern is that the system would not be able to address the variability DICOM-SR objects has been addressed. As of this writing the system is indexing 300 MR, 600 CT, and 2000 other (XA, DR, CR, MG) imaging studies per day. The only remaining issue to be solved is the case for tags that were not prospectively indexed-and indeed, this final challenge may lead to a noSQL, big data, approach in a subsequent version.

  13. Evaluating a healthcare data warehouse for cancer diseases

    OpenAIRE

    Sheta, Dr. Osama E.; Eldeen, Ahmed Nour

    2013-01-01

    This paper presents the evaluation of the architecture of healthcare data warehouse specific to cancer diseases. This data warehouse containing relevant cancer medical information and patient data. The data warehouse provides the source for all current and historical health data to help executive manager and doctors to improve the decision making process for cancer patients. The evaluation model based on Bill Inmon's definition of data warehouse is proposed to evaluate the Cancer data warehouse.

  14. Evaluating a healthcare data warehouse for cancer diseases

    OpenAIRE

    Sheta, Dr. Osama E.; Eldeen, Ahmed Nour

    2013-01-01

    This paper presents the evaluation of the architecture of healthcare data warehouse specific to cancer diseases. This data warehouse containing relevant cancer medical information and patient data. The data warehouse provides the source for all current and historical health data to help executive manager and doctors to improve the decision making process for cancer patients. The evaluation model based on Bill Inmon's definition of data warehouse is proposed to evaluate the Cancer data warehouse.

  15. Building a Data Warehouse step by step

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Data warehouses have been developed to answer the increasing demands of quality information required by the top managers and economic analysts of organizations. Their importance in now a day business area is unanimous recognized, being the foundation for developing business intelligence systems. Data warehouses offer support for decision-making process, allowing complex analyses which cannot be properly achieved from operational systems. This paper presents the ways in which a data warehouse may be developed and the stages of building it.

  16. National health data warehouse: issues to consider.

    Science.gov (United States)

    Blewett, Lynn A; Parente, Stephen T; Finch, Michael D; Peterson, Eileen

    2004-01-01

    A national data warehouse that links public and private data could be used to monitor trends in healthcare costs, utilization, quality of care, and adherence to quality guidelines and changes in treatment protocols. The development of the data warehouse, however, would require overcoming a number of political and technical challenges to gain access to private insurance data. This article outlines recommendations from a national conference sponsored by the Agency for Healthcare Research and Quality (AHRQ) on the private sector's role in quality monitoring and provides an operational outline for the development of a national private sector health data warehouse.

  17. A Join Index for XML Data Warehouses

    CERN Document Server

    Mahboubi, Hadj; Darmont, Jérôme

    2008-01-01

    XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native-XML database management systems (DBMSs) currently bear limited performances and it is necessary to research for ways to optimize them. In this paper, we propose a new join index that is specifically adapted to the multidimensional architecture of XML warehouses. It eliminates join operations while preserving the information contained in the original warehouse. A theoretical study and experimental results demonstrate the efficiency of our join index. They also show that native XML DBMSs can compete with XML-compatible, relational DBMSs when warehousing and analyzing XML data.

  18. Dynamic index selection in data warehouses

    CERN Document Server

    Azefack, Stéphane; Darmont, Jérôme

    2008-01-01

    Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response times, data warehouse administrators casually use indexing techniques. This task is nevertheless complex and fastidious. In this paper, we present an automatic, dynamic index selection method for data warehouses that is based on incremental frequent itemset mining from a given query workload. The main advantage of this approach is that it helps update the set of selected indexes when workload evolves instead of recreating it from scratch. Preliminary experimental results illustrate the efficiency of this approach, both in terms of performance enhancement and overhead.

  19. Protecting privacy in a clinical data warehouse.

    Science.gov (United States)

    Kong, Guilan; Xiao, Zhichun

    2015-06-01

    Peking University has several prestigious teaching hospitals in China. To make secondary use of massive medical data for research purposes, construction of a clinical data warehouse is imperative in Peking University. However, a big concern for clinical data warehouse construction is how to protect patient privacy. In this project, we propose to use a combination of symmetric block ciphers, asymmetric ciphers, and cryptographic hashing algorithms to protect patient privacy information. The novelty of our privacy protection approach lies in message-level data encryption, the key caching system, and the cryptographic key management system. The proposed privacy protection approach is scalable to clinical data warehouse construction with any size of medical data. With the composite privacy protection approach, the clinical data warehouse can be secure enough to keep the confidential data from leaking to the outside world. © The Author(s) 2014.

  20. Goal-oriented Data Warehouse Quality Measurement

    CERN Document Server

    Cachero, Cristina

    2009-01-01

    Requirements engineering is known to be a key factor for the success of software projects. Inside this discipline, goal-oriented requirements engineering approaches have shown specially suitable to deal with projects where it is necessary to capture the alignment between system requirements and stakeholders' needs, as is the case of data-warehousing projects. However, the mere alignment of data-warehouse system requirements with business goals is not enough to assure better data-warehousing products; measures and techniques are also needed to assure the data-warehouse quality. In this paper, we provide a modelling framework for data-warehouse quality measurement (i*DWQM). This framework, conceived as an i* extension, provides support for the definition of data-warehouse requirements analysis models that include quantifiable quality scenarios, defined in terms of well-formed measures. This extension has been defined by means of a UML profiling architecture. The resulting framework has been implemented in the E...

  1. KONSOLIDASI DATA WAREHOUSE UNTUK APLIKASI BUSINESS INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    Rudy

    2012-11-01

    Full Text Available As the business competition is getting strong, corporate leaders need complete data that as a basis for determining future business strategies. Similarly with management of company "A", a pharmaceutical company which has three distribution companies. Each distribution company already has a data warehouse to generate reports for each of them. For business operational and corporate strategies, chairman PT "A" requires an integrated report, so analysis of data owned by the three distribution companies can be done in a full report to answer the problems faced by the managemet. Thus, data warehouse consilidation can be used as a solution for company "A". Methodology starts with analysis of information needs to be displayed on the application of business intelligence, data warehouse consolidation, ETL (extract, transform and load, data warehousing, OLAP and Dashboard. Using data warehouse consolidation, information access by management of company "A" can be done in a single presentation, which can display data comparison between the three distribution companies.

  2. MANFAAT DATA WAREHOUSE PADA PT ABC

    Directory of Open Access Journals (Sweden)

    Evaristus Didik Madyatmadja

    2013-11-01

    Full Text Available The purpose of this paper is to analyze the current system to find out problems faced by the company and propose alternative solutions and generate information needed by management by designing a data warehouse according to the information needs of PT ABC. This research implements analysis and design of data warehouse by Ralph Kimball and Ross cited by Connolly and Begg, known as Nine-Step Methodology. The result obtained is a data warehouse application that may present a multidimensional historical data that can assist the management in decisions. Designing data warehouse at PT ABC makes concise the enterprise data and can be viewed from several dimensions. It helps users analyze data for strategic decision quickly and accurately.

  3. XWeB: The XML Warehouse Benchmark

    Science.gov (United States)

    Mahboubi, Hadj; Darmont, Jérôme

    With the emergence of XML as a standard for representing business data, new decision support applications are being developed. These XML data warehouses aim at supporting On-Line Analytical Processing (OLAP) operations that manipulate irregular XML data. To ensure feasibility of these new tools, important performance issues must be addressed. Performance is customarily assessed with the help of benchmarks. However, decision support benchmarks do not currently support XML features. In this paper, we introduce the XML Warehouse Benchmark (XWeB), which aims at filling this gap. XWeB derives from the relational decision support benchmark TPC-H. It is mainly composed of a test data warehouse that is based on a unified reference model for XML warehouses and that features XML-specific structures, and its associate XQuery decision support workload. XWeB's usage is illustrated by experiments on several XML database management systems.

  4. XWeB: the XML Warehouse Benchmark

    CERN Document Server

    Mahboubi, Hadj

    2011-01-01

    With the emergence of XML as a standard for representing business data, new decision support applications are being developed. These XML data warehouses aim at supporting On-Line Analytical Processing (OLAP) operations that manipulate irregular XML data. To ensure feasibility of these new tools, important performance issues must be addressed. Performance is customarily assessed with the help of benchmarks. However, decision support benchmarks do not currently support XML features. In this paper, we introduce the XML Warehouse Benchmark (XWeB), which aims at filling this gap. XWeB derives from the relational decision support benchmark TPC-H. It is mainly composed of a test data warehouse that is based on a unified reference model for XML warehouses and that features XML-specific structures, and its associate XQuery decision support workload. XWeB's usage is illustrated by experiments on several XML database management systems.

  5. Konsolidasi Data Warehouse untuk Aplikasi Business Intelligence

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2012-12-01

    Full Text Available As the business competition is getting strong, corporate leaders need complete data that as a basis for determining future business strategies. Similarly with management of company "A", a pharmaceutical company which has three distribution companies. Each distribution company already has a data warehouse to generate reports for each of them. For business operational and corporate strategies, chairman PT "A" requires an integrated report, so analysis of data owned by the three distribution companies can be done in a full reportto answer the problems faced by the managemet. Thus, data warehouse consilidation can be used as a solution for company "A". Methodology starts with analysis of information needs to be displayed on the application ofbusiness intelligence, data warehouse consolidation, ETL (extract, transform and load, data warehousing, OLAP and Dashboard. Using data warehouse consolidation, information access by management of company "A" can be done in a single presentation, which can display data comparison between the three distribution companies.

  6. Designing a Data Warehouse for Cyber Crimes

    Directory of Open Access Journals (Sweden)

    Il-Yeol Song

    2006-09-01

    Full Text Available One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the mountains of data. In this paper, we explore designing a dimensional model for a data warehouse that can be used in analyzing cyber crime data. We also present some interesting queries and the types of cyber crime analyses that can be performed based on the data warehouse. We discuss several ways of utilizing the data warehouse using OLAP and data mining technologies. We finally discuss legal issues and data population issues for the data warehouse.

  7. Data Warehouse Discovery Framework: The Foundation

    Science.gov (United States)

    Apanowicz, Cas

    The cost of building an Enterprise Data Warehouse Environment runs usually in millions of dollars and takes years to complete. The cost, as big as it is, is not the primary problem for a given corporation. The risk that all money allocated for planning, design and implementation of the Data Warehouse and Business Intelligence Environment may not bring the result expected, fare out way the cost of entire effort [2,10]. The combination of the two above factors is the main reason that Data Warehouse/Business Intelligence is often single most expensive and most risky IT endeavor for companies [13]. That situation was the main author's inspiration behind founding of Infobright Corp and later on the concept of Data Warehouse Discovery Framework.

  8. Integrating Data Warehouses with Web Data

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Berlanga, Rafael; Aramburu, Maria Jose

    This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data. It studies the XML technologies that are currently being used to integrate, store, query and retrieve web data, and their application to data warehouses. The paper addresses the problem of integrating...... heterogeneous DWs and explains how to deal with both semi-structured and unstructured data in DWs and On-Line Analytical Processing....

  9. Two Methods for Extending Quantum Key Warehouse

    Institute of Scientific and Technical Information of China (English)

    WU Min; LIAO Chang-jun; LIU Song-hao

    2006-01-01

    Because the rates of quantum key distribution systems are too low,the interleaving technique and interpolation technique are used to extend the capacity of the quantum key warehouse to increase the quantum key rates of quantum secure communication systems. the simulation technique can extend random sequences and that their randomness are invariable. The correlative theory and technique of digital singal processing is an effective method of extending the quantum dey warehouse.

  10. PERANCANGAN DATA WAREHOUSE PADA SOFTWARE LABORATORY CENTER

    Directory of Open Access Journals (Sweden)

    Alvin Chandra

    2010-11-01

    Methodology that used by Ralph Kimball's to design star schema. The result is data warehouse that provides some global information which global, relevant, and integrated which can be seen from various points of view that is useful for the leaders to make decisions. Separate data warehouse from operational databases that already exist required by Software Laboratory Center to assist leaders in making strategic decisions in a fast and precise way.

  11. Integrated approaches to warehouse planning and operations

    OpenAIRE

    Geraldes, Carla A. S.

    2010-01-01

    In this talk we discuss a tactical model recently available in warehouse literature. The model integrates the replenishment decision in inventory management, the allocation of products to warehousing systems and the assignment of products to storage locations in warehousing management. Our aim is to show the models’ potentialities and weaknesses when applied to a wide variety of problems and to identify challenging research opportunities for developing global warehouse decision support mod...

  12. Modeling of regional warehouse network generation

    Directory of Open Access Journals (Sweden)

    Popov Pavel Vladimirovich

    2016-08-01

    Full Text Available One of the factors that has a significant impact on the socio-economic development of the Russian Federation’s regions is the logistics infrastructure. It provides integrated transportation and distribution service of material flows. One of the main elements of logistics infrastructure is a storage infrastructure, which includes distribution center, distribution-and-sortout and sortout warehouses. It is the most expedient to place distribution center in the vicinity of the regional center. One of the tasks of the distribution network creation within the regions of the Russian Federation is to determine the location, capacity and number of stores. When determining regional network location of general purpose warehouses methodological approaches to solving the problems of location of production and non-production can be used which depend on various economic factors. The mathematical models for solving relevant problems are the deployment models. However, the existing models focus on the dimensionless power storage. The purpose of the given work is to develop a model to determine the optimal location of general-purpose warehouses on the Russian Federation area. At the first stage of the work, the authors assess the main economic indicators influencing the choice of the location of general purpose warehouses. An algorithm for solving the first stage, based on ABC, discriminant and cluster analysis were proposed by the authors in earlier papers. At the second stage the specific locations of general purpose warehouses and their power is chosen to provide the cost minimization for the construction and subsequent maintenance of warehouses and transportation heterogeneous products. In order to solve this problem the authors developed a mathematical model that takes into account the possibility of delivery in heterogeneous goods from suppliers and manufacturers in the distribution and storage sorting with specified set of capacities. The model allows

  13. Developing a standardized healthcare cost data warehouse.

    Science.gov (United States)

    Visscher, Sue L; Naessens, James M; Yawn, Barbara P; Reinalda, Megan S; Anderson, Stephanie S; Borah, Bijan J

    2017-06-12

    Research addressing value in healthcare requires a measure of cost. While there are many sources and types of cost data, each has strengths and weaknesses. Many researchers appear to create study-specific cost datasets, but the explanations of their costing methodologies are not always clear, causing their results to be difficult to interpret. Our solution, described in this paper, was to use widely accepted costing methodologies to create a service-level, standardized healthcare cost data warehouse from an institutional perspective that includes all professional and hospital-billed services for our patients. The warehouse is based on a National Institutes of Research-funded research infrastructure containing the linked health records and medical care administrative data of two healthcare providers and their affiliated hospitals. Since all patients are identified in the data warehouse, their costs can be linked to other systems and databases, such as electronic health records, tumor registries, and disease or treatment registries. We describe the two institutions' administrative source data; the reference files, which include Medicare fee schedules and cost reports; the process of creating standardized costs; and the warehouse structure. The costing algorithm can create inflation-adjusted standardized costs at the service line level for defined study cohorts on request. The resulting standardized costs contained in the data warehouse can be used to create detailed, bottom-up analyses of professional and facility costs of procedures, medical conditions, and patient care cycles without revealing business-sensitive information. After its creation, a standardized cost data warehouse is relatively easy to maintain and can be expanded to include data from other providers. Individual investigators who may not have sufficient knowledge about administrative data do not have to try to create their own standardized costs on a project-by-project basis because our data

  14. A CONCEPTUAL METADATA FRAMEWORK FOR SPATIAL DATA WAREHOUSE

    Directory of Open Access Journals (Sweden)

    M.Laxmaiah

    2013-05-01

    Full Text Available Metadata represents the information about data to be stored in Data Warehouses. It is a mandatory element of Data Warehouse to build an efficient Data Warehouse. Metadata helps in data integration, lineage, data quality and populating transformed data into data warehouse. Spatial data warehouses are based on spatial data mostly collected from Geographical Information Systems (GIS and the transactional systems that are specific to an application or enterprise. Metadata design and deployment is the most critical phase in building of data warehouse where it is mandatory to bring the spatial information and data modeling together. In this paper, we present a holistic metadata framework that drives metadata creation for spatial data warehouse. Theoretically, the proposed metadata framework improves the efficiency of accessing of data in response to frequent queries on SDWs. In other words, the proposed framework decreases the response time of the query and accurate information is fetched from Data Warehouse including the spatial information

  15. Development of National Pathological Data Warehouse (NPDW For Bangladesh

    Directory of Open Access Journals (Sweden)

    Vaskor Mostafa

    2016-10-01

    Full Text Available Building a data warehouse for pathological data is a challenging task because data are collected from diverse sources. To capture and integrate these diverse data sources for pathological reporting and analysis, plans have developed data warehouse. A data warehouse is considered as an architecture that is designed for query and analysis over traditional transaction processing. Historical data can be derived from the transaction processing and data warehouse mainly stores these historical data. But it can also include data from other sources. Pathological data warehouse contains historical information of patients and their different test results. The construction of data warehouses involves data cleaning, data integration, and data transformation. In this paper we have developed an architecture of a data warehouse model, a star schema and a development process suitable for integrating data from diverse healthcare sources have been presented. Finally the data warehouse can be viewed as an important preprocessing step for data mining.

  16. Kagi steel warehouse, Winterthur, Switzerland

    Energy Technology Data Exchange (ETDEWEB)

    Guetermann, A.

    1999-07-01

    The steel warehouse of the Kagi company in Winterthur near Zurich is a two-hall complex. The older (left) hall (3,000 m{sup 2}, 30,000 m{sup 3}) was completely uninsulated and has an open basement (6,500 m{sup 3}) to store infrequently used items. To prevent condensation on the cold steel surfaces in spring and early summer and to provide a smaller temperature difference between the hall and the basement for workers in the summer, (and avoid productivity loss due to illness), as well as to raise temperatures in the winter, the following measures were taken in a step-by-step approach: A ventilation system was installed (1986) to circulate sun-warmed air from under the roof to the basement. It was shown that, under the given circumstances, such a system worked well and was cost-effective in comparison with a conventional heating system. Complete external insulation was added to the hall (1994) and a roof-integrated 350 m{sup 2} air collector installed so that the circulating air could be warmed. Construction of a separate adjoining new hall (1996) profited from all the above experience. The air collector is integrated in the facade facing south-east. The first stage (1986) was monitored in detail, while only rough measurements were made for the modified system (1994). The 1996 system for the new hall was analysed by computer simulation. (author)

  17. European experience of signing contract storage in warehouse

    OpenAIRE

    Демчук, Антон Михайлович; Demchuk, Anton M.

    2015-01-01

    The article is devoted to the development of relations stored on the warehouse of origin from England to its development in Ukraine. This article analyzes the experience of warehousing in Europe and the legislative provision storage in Ukrainian law. We analyze the concluding a separate contract storage at the warehouse simultaneously with the transfer of warehouse receipts. The necessity of referring to the warehouse receipts securities. Analyzed the following types of ware...

  18. What Academia Can Gain from Building a Data Warehouse.

    Science.gov (United States)

    Wierschem, David; McMillen, Jeremy; McBroom, Randy

    2003-01-01

    Describes how, when used effectively, data warehouses can be a significant component of strategic decision making on campus. Discusses what a data warehouse is and what its informational contents may include, environmental drivers and obstacles, and strategies to justify developing a data warehouse for an academic institution. (EV)

  19. 27 CFR 27.31 - Warehouse receipts covering distilled spirits.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Warehouse receipts... BEER Dealer Registration and Recordkeeping § 27.31 Warehouse receipts covering distilled spirits. The sale of warehouse receipts for distilled spirits is equivalent to the sale of distilled...

  20. 27 CFR 28.244 - Shipment to manufacturing bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... bonded warehouse. 28.244 Section 28.244 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX... Export Consignment § 28.244 Shipment to manufacturing bonded warehouse. Distilled spirits and wines withdrawn for shipment to a manufacturing bonded warehouse shall be consigned to the proprietor of...

  1. 29 CFR 779.113 - Warehouse and stock room employees.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 3 2010-07-01 2010-07-01 false Warehouse and stock room employees. 779.113 Section 779.113 Labor Regulations Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS....113 Warehouse and stock room employees. Warehouse and stock room employees of retail businesses...

  2. 27 CFR 31.47 - Warehouse receipts covering spirits.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Warehouse receipts... Part Certain Organizations, Agencies, and Persons § 31.47 Warehouse receipts covering spirits. The sale of warehouse receipts for distilled spirits is equivalent to the sale of distilled...

  3. 19 CFR 146.64 - Entry for warehouse.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Entry for warehouse. 146.64 Section 146.64 Customs... (CONTINUED) FOREIGN TRADE ZONES Transfer of Merchandise From a Zone § 146.64 Entry for warehouse. (a) Foreign... status may not be entered for warehouse from a zone. Merchandise in nonprivileged foreign...

  4. 19 CFR 143.16 - Substitution of warehouse entry.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Substitution of warehouse entry. 143.16 Section 143.16 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT... warehouse entry. The importer may substitute an entry for warehouse at any time within 1 year from the...

  5. KONSEP INTEGRATION LAYER DALAM PEMBANGUNAN DATA WAREHOUSE

    Directory of Open Access Journals (Sweden)

    I WAYAN PULANTARA

    2012-11-01

    Full Text Available Information availability in exact time is one of keys for correct decision making. One of thesolutions is by developing a Data Warehouse for supporting decision making. In general DataWarehouse contains Dependent Data Mart (DDM, Integration Layer(IL, and Extract-Transform-Load (ETL. Integration Layer is a database that contains data that already integrated,stored in aid for one or more decision support system. For its data source, integration layerrequire Extract-Transform-Load (ETL as supplier for clean and integrated data. IntegrationLayer volume would be much larger than any on dependent data mart that its support, so thefocus aspect in developing Integration Layer as core part of Data Warehouse is how to handle ahuge amount of data in considerable performance. Beside that, interfacing aspect is alsoimportant, e.g. how Integration Layer interact with ETL Process and supporting dependent data.

  6. IR and OLAP in XML document warehouses

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Pedersen, Torben Bach; Berlanga, Rafael

    2005-01-01

    In this paper we propose to combine IR and OLAP (On-Line Analytical Processing) technologies to exploit a warehouse of text-rich XML documents. In the system we plan to develop, a multidimensional implementation of a relevance modeling document model will be used for interactively querying...... the warehouse by allowing navigation in the structure of documents and in a concept hierarchy of query terms. The facts described in the relevant documents will be ranked and analyzed in a novel OLAP cube model able to represent and manage facts with relevance indexes....

  7. A business-oriented approach to data warehouse development

    Directory of Open Access Journals (Sweden)

    Ania Cravero Leal

    2012-09-01

    Full Text Available Several surveys have indicated that many data warehouses fail to meet business objectives or are outright failures. One reason for this is that requirement engineering is typically overlooked in real projects. This paper addresses data warehouse design from a business perspective by highlighting business strategy analysis, alignment between data warehouse objectives and a firm’s strategy, goal-orientated information requirements’ modelling and how an underlying multidimensional data warehouse model may be derived. A set of guidelines is provided allowing developers to design a data warehouse aligned with a prevailing business strategy. A classic case study is presented.

  8. Web-enabled Data Warehouse and Data Webhouse

    OpenAIRE

    Cerasela PIRVU; Ion BULIGIU; Mehedintu, Anca

    2008-01-01

    In this paper, our objectives are to understanding what data warehouse means examine the reasons for doing so, appreciate the implications of the convergence of Web technologies and those of the data warehouse and examine the steps for building a Web-enabled data warehouse. The web revolution has propelled the data warehouse out onto the main stage, because in many situations the data warehouse must be the engine that controls or analysis the web experience. In order to step up to this new re...

  9. Data Warehouse Schema Evolution and Adaptation Framework Using Ontology

    Directory of Open Access Journals (Sweden)

    M.Thenmozhi

    2014-07-01

    Full Text Available Data Warehouse systems aim at integrating data from multiple heterogeneous, distributed, autonomous data sources. Due to changing business needs the data warehouse systems are never meant to be static. Changes in the data source structure or business requirements would result in the evolution of data warehouse schema structure. When data warehouse schema evolves the dependent modules such as its mappings, queries and views gets affected. The existing works on data warehouse evolution focus only on schema evolution at the physical level. As ontology seems to be a promising solution in data warehouse research, the proposed framework handles data warehouse schema evolution at ontological level. Moreover, it analyses the impact of the dependent modules and proposes methods to automatically adapt to changes.

  10. Managing dual warehouses with an incentive policy for deteriorating items

    Science.gov (United States)

    Yu, Jonas C. P.; Wang, Kung-Jeng; Lin, Yu-Siang

    2016-02-01

    Distributors in a supply chain usually limit their own warehouse in finite capacity for cost reduction and excess stock is held in a rent warehouse. In this study, we examine inventory control for deteriorating items in a two-warehouse setting. Assuming that there is an incentive offered by a rent warehouse that allows the rental fee to decrease over time, the objective of this study is to maximise the joint profit of the manufacturer and the distributor. An optimisation procedure is developed to derive the optimal joint economic lot size policy. Several criteria are identified to select the most appropriate warehouse configuration and inventory policy on the basis of storage duration of materials in a rent warehouse. Sensitivity analysis is done to examine the results of model robustness. The proposed model enables a manufacturer with a channel distributor to coordinate the use of alternative warehouses, and to maximise the joint profit of the manufacturer and the distributor.

  11. WAREHOUSE PERFORMANCE MEASUREMENT - A CASE STUDY

    Directory of Open Access Journals (Sweden)

    Crisan Emil

    2009-05-01

    Full Text Available Companies could gain cost advantage using their logistics area of the business. Warehouse management is a possible source of cost improvements from logistics that companies could use during this economic crisis. The goal of this article is to expose a few

  12. Warehouse receipts functioning to reduce market risk

    Directory of Open Access Journals (Sweden)

    Jovičić Daliborka

    2014-01-01

    Full Text Available Cereal production underlies the market risk to a great extent due to its elastic demand. Prices of grain have cyclic movements and significant decline in the harvest periods as a result of insufficient supply and high demand. The very specificity of agricultural production leads to the fact that agricultures are forced to sell their products at unfavorable conditions in order to resume production. The Public Warehouses System allows the agriculturers, who were previously unable to use the bank loans to finance the continuation of their production, to efficiently acquire the necessary funds, by the support of the warehouse receipts which serve as collaterals. Based on the results obtained by applying statistical methods (variance and standard deviation, as a measure of market risk under the assumption that warehouse receipts' prices will approximately follow the overall consumer price index, it can be concluded that the warehouse receipts trade will have a significant impact on risk reduction in cereal production. Positive effects can be manifested through the stabilization of prices, reduction of cyclic movements in the production of basic grains and, in the final stage, on the country's food security.

  13. Models for warehouse management: classification and examples

    NARCIS (Netherlands)

    Berg, van den J.P.; Zijm, W.H.M.

    1999-01-01

    In this paper we discuss warehousing systems and present a classification of warehouse management problems. We start with a typology and a brief description of several types of warehousing systems. Next, we present a hierarchy of decision problems encountered in setting up warehousing systems, inclu

  14. Information Support of Processes in Warehouse Logistics

    Directory of Open Access Journals (Sweden)

    Gordei Kirill

    2013-11-01

    Full Text Available In the conditions of globalization and the world economic communications, the role of information support of business processes increases in various branches and fields of activity. There is not an exception for the warehouse activity. Such information support is realized in warehouse logistic systems. In relation to territorial administratively education, the warehouse logistic system gets a format of difficult social and economic structure which controls the economic streams covering the intermediary, trade and transport organizations and the enterprises of other branches and spheres. Spatial movement of inventory items makes new demands to participants of merchandising. Warehousing (in the meaning – storage – is one of the operations entering into logistic activity, on the organization of a material stream, as a requirement. Therefore, warehousing as "management of spatial movement of stocks" – is justified. Warehousing, in such understanding, tries to get rid of the perception as to containing stocks – a business expensive. This aspiration finds reflection in the logistic systems working by the principle: "just in time", "economical production" and others. Therefore, the role of warehouses as places of storage is transformed to understanding of warehousing as an innovative logistic system.

  15. 7 CFR 1427.1086 - Approval of warehouse, requests for reconsideration.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Approval of warehouse, requests for reconsideration... Standards for Approval of Warehouses for Cotton and Cotton Linters § 1427.1086 Approval of warehouse, requests for reconsideration. (a) CCC will approve a warehouse if it determines that the warehouse...

  16. 19 CFR 19.4 - CBP and proprietor responsibility and supervision over warehouses.

    Science.gov (United States)

    2010-04-01

    ..., quantity counts of goods in warehouse inventories, spot checks of selected warehouse transactions or... transportation, receipts, deliveries, sampling, recordkeeping, repacking, manipulation, destruction, physical and... warehouse and present merchandise within a reasonable time after request by any Customs officer. (3...

  17. Importance of public warehouse system for financing agribusiness sector

    Directory of Open Access Journals (Sweden)

    Zakić Vladimir

    2014-01-01

    Full Text Available The aim of this study was to determine the economic viability of the use of warehouse receipts for the storage of wheat and corn, based on the analysis of trends in product prices, storage costs in public warehouses and interest rate of loans against warehouse receipts. Agricultural producers are urged to sell grain at the harvest time when the price of agricultural products is usually lowest, mostly because of their needs for financial sources. Instead of selling products, farmers can store them in the public warehouses and use short-time financing by lending against warehouse receipt with usually lowest interest rate. In following months, farmers can sell products at higher price and repay short-term loan. This study showed that strategy of using public warehouses and postponing the sale of grains after harvest is profitable strategy for agricultural producers.

  18. The Critical Factors Influencing the Adoptions of Data Warehouse

    Directory of Open Access Journals (Sweden)

    Erappa G.

    2014-05-01

    Full Text Available Data warehousing is the leading and most reliable technology used today by companies for planning, forecasting, and management A lot has been done in this field regarding design and development of data warehouses and a lot still needs to be done but one area which needs special attention from research community is data warehouse maintenance. The main reason for a data warehouse failure is poor management. Without proper management desired results are nearly impossible to attain from a data warehouse. Unlike operational system data warehouse need a lot more management and a support team of qualified professionals is needed to take care of the issues that arise after its deployment including data extraction, data loading, network management, training and communication, materialized view and some other related tasks. The subject of my research is to explore the impact of the selected factors, under organizational, Project related and environmental dimensions, on data warehouse applications

  19. Improve Performance of Data Warehouse by Query Cache

    Science.gov (United States)

    Gour, Vishal; Sarangdevot, S. S.; Sharma, Anand; Choudhary, Vinod

    2010-11-01

    The primary goal of data warehouse is to free the information locked up in the operational database so that decision makers and business analyst can make queries, analysis and planning regardless of the data changes in operational database. As the number of queries is large, therefore, in certain cases there is reasonable probability that same query submitted by the one or multiple users at different times. Each time when query is executed, all the data of warehouse is analyzed to generate the result of that query. In this paper we will study how using query cache improves performance of Data Warehouse and try to find the common problems faced. These kinds of problems are faced by Data Warehouse administrators which are minimizes response time and improves the efficiency of query in data warehouse overall, particularly when data warehouse is updated at regular interval.

  20. Comparative Study of Data Warehouse Design Approaches : A Survey

    Directory of Open Access Journals (Sweden)

    Rajni Jindal

    2012-03-01

    Full Text Available The process of developing a data warehouse starts with identifying and gathering requirements, designing the dimensional model followed by testing and maintenance. The design phase is the most important activity in the successful building of a data warehouse. In this paper, we surveyed and evaluated the literature related to the various data warehouse design approaches on the basis of design criteria and propose a generalized object oriented conceptual designframework based on UML that meets all types of user needs.

  1. Research of ERP model system of spatial data warehouse

    Institute of Scientific and Technical Information of China (English)

    CHEN Xue-long; WANG Yan-zhang

    2004-01-01

    The broad sharing of spatial information is demanded in the infrastructure construction of spatial data in our country. And the spatial data warehouse realizes the effective management and sharing of spatial information serving as an efficient tool. This article proposes ERP model system that of general-decision-oriented for constructing spatial data warehouse from the aspect of decision application. In the end of article, the construction process of spatial data warehouse based on ERP model system is discussed.

  2. An optimisation model for the warehouse design and planning problem

    OpenAIRE

    Geraldes, Carla A. S.; Carvalho, Sameiro; Pereira, Guilherme

    2011-01-01

    In spite of the importance of warehouses in the field of the supply chain management, there is not a single decision model that integrates all the decisions that concerns the warehouse design and planning problem. A number of warehouse decision support models have been proposed in the literature but considerable difficulties in applying these models still remain, due to the large amount of information to be processed and to the large number of possible alternatives. In this paper we discuss a...

  3. Operational research models in warehouse design and planning

    OpenAIRE

    Geraldes, Carla A. S.; Carvalho, Sameiro; Pereira, Guilherme

    2010-01-01

    The design and operation of a warehouse involve many challenging decision problems. In this paper, a literature review on warehousing models is presented. Authors start with a hierarchy of decision problems encountered in setting up warehouse design and planning processes. Next, some operational research decision models and solution algorithms supporting decision making at each discussed level are presented. The aim is to link academic researchers and warehouse practitioners, explaining what ...

  4. An integrated approach for warehouse design and planning

    OpenAIRE

    Pereira, Guilherme; Geraldes, Carla Alexandra Soares; Carvalho, Maria Sameiro

    2011-01-01

    Warehouse design and planning is a great challenge in the field of Supply Chain Management. Inventory level management, warehouse design and operations, and customers’ requirements are examples of important challenges in this context. Throughout this work we discuss a mathematical model aiming to support some warehouse management decisions and inventory decisions. Our aim is to show model’s potentialities and weaknesses when applied to real world problems and to identify challenging research ...

  5. Clinical Use of an Enterprise Data Warehouse

    Science.gov (United States)

    Evans, R. Scott; Lloyd, James F.; Pierce, Lee A.

    2012-01-01

    The enormous amount of data being collected by electronic medical records (EMR) has found additional value when integrated and stored in data warehouses. The enterprise data warehouse (EDW) allows all data from an organization with numerous inpatient and outpatient facilities to be integrated and analyzed. We have found the EDW at Intermountain Healthcare to not only be an essential tool for management and strategic decision making, but also for patient specific clinical decision support. This paper presents the structure and two case studies of a framework that has provided us the ability to create a number of decision support applications that are dependent on the integration of previous enterprise-wide data in addition to a patient’s current information in the EMR. PMID:23304288

  6. Warehouse site selection in an international environment

    Directory of Open Access Journals (Sweden)

    Sebastjan ŠKERLIČ

    2013-01-01

    Full Text Available The changed conditions in the automotive industry as the market and the production are moving from west to east, both at global and at European level, require constant adjustment from Slovenian companies. The companies strive to remain close to their customers and suppliers, as only by maintaining a high quality and streamlined supply chain, their existence within the demanding automotive industry is guaranteed in the long term. Choosing the right location for a warehouse in an international environment is therefore one of the most important strategic decisions that takes into account a number of interrelated factors such as transport networks, transport infrastructure, trade flows and the total cost. This paper aims to explore the important aspects of selecting a location for a warehouse and to identify potential international strategic locations, which could have a significant impact on the future operations of Slovenian companies in the global automotive industry.

  7. Clinical use of an enterprise data warehouse.

    Science.gov (United States)

    Evans, R Scott; Lloyd, James F; Pierce, Lee A

    2012-01-01

    The enormous amount of data being collected by electronic medical records (EMR) has found additional value when integrated and stored in data warehouses. The enterprise data warehouse (EDW) allows all data from an organization with numerous inpatient and outpatient facilities to be integrated and analyzed. We have found the EDW at Intermountain Healthcare to not only be an essential tool for management and strategic decision making, but also for patient specific clinical decision support. This paper presents the structure and two case studies of a framework that has provided us the ability to create a number of decision support applications that are dependent on the integration of previous enterprise-wide data in addition to a patient's current information in the EMR.

  8. Configurable Web Warehouses construction through BPM Systems

    Directory of Open Access Journals (Sweden)

    Andrea Delgado

    2016-08-01

    Full Text Available The process of building Data Warehouses (DW is well known with well defined stages but at the same time, mostly carried out manually by IT people in conjunction with business people. Web Warehouses (WW are DW whose data sources are taken from the web. We define a flexible WW, which can be configured accordingly to different domains, through the selection of the web sources and the definition of data processing characteristics. A Business Process Management (BPM System allows modeling and executing Business Processes (BPs providing support for the automation of processes. To support the process of building flexible WW we propose a two BPs level: a configuration process to support the selection of web sources and the definition of schemas and mappings, and a feeding process which takes the defined configuration and loads the data into the WW. In this paper we present a proof of concept of both processes, with focus on the configuration process and the defined data.

  9. Warehouse Order-Picking Process. Review

    Directory of Open Access Journals (Sweden)

    E. V. Korobkov

    2015-01-01

    Full Text Available This article describes basic warehousing activities, namely: movement, information storage and transfer, as well as connections between typical warehouse operations (reception, transfer, assigning storage position and put-away, order-picking, hoarding and sorting, cross-docking, shipping. It presents a classification of the warehouse order-picking systems in terms of manual labor on offer as well as external (marketing channels, consumer’s demand structure, supplier’s replenishment structure and inventory level, total production demand, economic situation and internal (mechanization level, information accessibility, warehouse dimensionality, method of dispatch for shipping, zoning, batching, storage assignment method, routing method factors affecting the designing systems complexity. Basic optimization considerations are described. There is a literature review on the following sub-problems of planning and control of orderpicking processes.A layout design problem has been taken in account at two levels — external (facility layout problem and internal (aisle configuration problem. For a problem of distributing goods or stock keeping units the following methods are emphasized: random, nearest open storage position, and dedicated (COI-based, frequency-based distribution, as well as class-based and familygrouped (complimentary- and contact-based one. Batching problem can be solved by two main methods, i.e. proximity order batching (seed and saving algorithms and time-window order batching. There are two strategies for a zoning problem: progressive and synchronized, and also a special case of zoning — bucket brigades method. Hoarding/sorting problem is briefly reviewed. Order-picking routing problem will be thoroughly described in the next article of the cycle “Warehouse order-picking process”.

  10. The impact of e-commerce on warehouse operations

    Directory of Open Access Journals (Sweden)

    Wiktor Żuchowski

    2016-03-01

    Full Text Available Background: We often encounter opinions concerning the unusual nature of warehouses used for the purposes of e-commerce, most often spread by providers of modern technological equipment and designers of such solutions. Of course, in the case of newly built facilities, it is advisable to consider innovative technologies, especially in terms of order picking. However, in many cases, the differences between "standard" warehouses, serving, for example, the vehicle spare parts market, and warehouses that are ready to handle retail orders placed electronically (defined as e-commerce are negligible. The scale of the differences between the existing "standard" warehouses and those adapted to handle e-commerce is dependent on the industry and supported of customers' structure. Methods: On the basis of experiences and on examples of enterprises two cases of the impact of a hypothetical e-commerce implementation for the warehouse organization and technology have been analysed. Results: The introduction of e-commerce into warehouses entails respective changes to previously handled orders. Warehouses serving the retail market are in principle prepared to process electronic orders. In this case, the introduction of (direct electronic sales is justified and feasible with relatively little effort. Conclusions: It cannot be said with certainty that the introduction of e-commerce in the warehouse is a revolution for its employees and managers. It depends on the markets in which the company operates, and on customers served by the warehouse prior to the introduction of e-commerce.

  11. Outpatient health care statistics data warehouse--logical design.

    Science.gov (United States)

    Natek, S

    1999-01-01

    Outpatient Health Care Statistics on a state level is a central point where all relevant statistic data are collected from various sources from all over the country. Various and complex requirements for processing and reporting data makes Outpatient Health Care Statistics on a state level a perfect example for efficient implementing of Data warehouse technology. The research investigates logical design of data warehouse with a special attention on a different data modeling technique in various phases of a logical data warehouse design. The research shows that a requirement for processing statistical data determines the design decision and thus the scope and semantic value of final data warehouse.

  12. Data warehouse til elbilers opladning og elpriser

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Torp, Kristian

    Denne rapport præsenterer, hvordan GPS og CAN bus målinger fra opladning af elbilerne er renset for typiske fejl og gemt i et data warehouse. GPS og CAN bus målingerne er i data warehouset integreret med priserne fra det Nordeuropæiske el spotmarked Nord Pool Spot. Denne integration muliggør...... målinger om opladningen af elbiler er sammen med priserne fra el spotmarkedet indlæst i et data warehouse, som er fuldt ud implementeret. Den logiske data model for dette data warehouse præsenteres i detaljer. Håndteringen af GPS og CAN bus målingerne er generisk og kan udvides til nye data kilder......-en-elbil projektet. Data er renset for fejl så som uventede hop i kilometertælleren, uventede hop i State of Charge (SoC) værdien og svingende SoC værdier. For hver fejltype er fejlen beskrevet med et konkret eksempel fra rå data og antal af fejl er listet. Det beskrives yderligere, hvordan hver enkelt fejl er...

  13. Building a data warehouse with examples in SQL server

    CERN Document Server

    Rainardi, Vincent

    2008-01-01

    ""Building a Data Warehouse: With Examples in SQL Server"" describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Rainardi also describes some practical issues that developers are likely to encounter in their first data warehousing project, along with solutions and advice.

  14. Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi

    CERN Document Server

    Warnars, H L H Spits

    2010-01-01

    Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).

  15. 27 CFR 28.286 - Receipt in customs bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Receipt in customs bonded... in Customs Bonded Warehouse § 28.286 Receipt in customs bonded warehouse. On receipt of the distilled spirits or wine and the related TTB Form 5100.11 or 5110.30 as the case may be, the customs officer...

  16. 27 CFR 46.236 - Articles in a warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Articles in a warehouse. 46.236 Section 46.236 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU... Tubes Held for Sale on April 1, 2009 Filing Requirements § 46.236 Articles in a warehouse. (a)...

  17. 76 FR 28801 - Agency Information Collection Activities: Bonded Warehouse Regulations

    Science.gov (United States)

    2011-05-18

    ... SECURITY U.S. Customs and Border Protection Agency Information Collection Activities: Bonded Warehouse... approval in accordance with the Paperwork Reduction Act: Bonded Warehouse Regulations. This is a proposed..., mechanical, or other technological techniques or other forms of information. Title: Bonded...

  18. Simultaneous determination of warehouse layout and control policies

    NARCIS (Netherlands)

    Roodbergen, Kees Jan; Vis, Iris F. A.; Taylor, G. Don

    2015-01-01

    In a supply chain's order fulfilment process, it is often the warehouse that plays a central role in making the right product available to the right customer at the right time. This paper aims to improve warehouse performance by deriving an effective design method for the simultaneous determination

  19. Design and Control of Warehouse Order Picking: a literature review

    NARCIS (Netherlands)

    M.B.M. de Koster (René); T. Le-Duc (Tho); K.J. Roodbergen (Kees-Jan)

    2006-01-01

    textabstractOrder picking has long been identified as the most labour-intensive and costly activity for almost every warehouse; the cost of order picking is estimated to be as much as 55% of the total warehouse operating expense. Any underperformance in order picking can lead to unsatisfactory servi

  20. Simultaneous determination of warehouse layout and control policies

    NARCIS (Netherlands)

    Roodbergen, Kees Jan; Vis, Iris F. A.; Taylor, G. Don

    2015-01-01

    In a supply chain's order fulfilment process, it is often the warehouse that plays a central role in making the right product available to the right customer at the right time. This paper aims to improve warehouse performance by deriving an effective design method for the simultaneous determination

  1. Congestion-Aware Warehouse Flow Analysis and Optimization

    KAUST Repository

    AlHalawani, Sawsan

    2015-12-18

    Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.

  2. Enhancing XML Data Warehouse Query Performance by Fragmentation

    CERN Document Server

    Mahboubi, Hadj

    2009-01-01

    XML data warehouses form an interesting basis for decision-support applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currently suffer from limited performances in terms of manageable data volume and response time for complex analytical queries. Fragmenting and distributing XML data warehouses (e.g., on data grids) allow to address both these issues. In this paper, we work on XML warehouse fragmentation. In relational data warehouses, several studies recommend the use of derived horizontal fragmentation. Hence, we propose to adapt it to the XML context. We particularly focus on the initial horizontal fragmentation of dimensions' XML documents and exploit two alternative algorithms. We experimentally validate our proposal and compare these alternatives with respect to a unified XML warehouse model we advocate for.

  3. Tata Kelola Database Perguruan Tinggi Yang Optimal Dengan Data Warehouse

    CERN Document Server

    Warnars, Spits

    2010-01-01

    The emergence of new higher education institutions has created the competition in higher education market, and data warehouse can be used as an effective technology tools for increasing competitiveness in the higher education market. Data warehouse produce reliable reports for the institution's high-level management in short time for faster and better decision making, not only on increasing the admission number of students, but also on the possibility to find extraordinary, unconventional funds for the institution. Efficiency comparison was based on length and amount of processed records, total processed byte, amount of processed tables, time to run query and produced record on OLTP database and data warehouse. Efficiency percentages was measured by the formula for percentage increasing and the average efficiency percentage of 461.801,04% shows that using data warehouse is more powerful and efficient rather than using OLTP database. Data warehouse was modeled based on hypercube which is created by limited hig...

  4. Analisis Dan Perancangan Data Warehouse Pada PT Gajah Tunggal Prakarsa

    Directory of Open Access Journals (Sweden)

    Choirul Huda

    2010-12-01

    Full Text Available The purpose of this helpful in making decisions more quickly and precisely. Research methodology includes analysis study was to analyze the data base support in helping decisions making, identifying needs and designing a data warehouse. With the support of data warehouse, company leaders can be more of current systems, library research, designing a data warehouse using star schema. The result of this research is the availability of a data warehouse that can generate information quickly and precisely, thus helping the company in making decisions. The conclusion of this research is the application of data warehouse can be a media aide related parties on PT. Gajah Tunggal initiative in decision making. 

  5. Refrigerated Warehouse Demand Response Strategy Guide

    Energy Technology Data Exchange (ETDEWEB)

    Scott, Doug [VaCom Technologies, San Luis Obispo, CA (United States); Castillo, Rafael [VaCom Technologies, San Luis Obispo, CA (United States); Larson, Kyle [VaCom Technologies, San Luis Obispo, CA (United States); Dobbs, Brian [VaCom Technologies, San Luis Obispo, CA (United States); Olsen, Daniel [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-11-01

    This guide summarizes demand response measures that can be implemented in refrigerated warehouses. In an appendix, it also addresses related energy efficiency opportunities. Reducing overall grid demand during peak periods and energy consumption has benefits for facility operators, grid operators, utility companies, and society. State wide demand response potential for the refrigerated warehouse sector in California is estimated to be over 22.1 Megawatts. Two categories of demand response strategies are described in this guide: load shifting and load shedding. Load shifting can be accomplished via pre-cooling, capacity limiting, and battery charger load management. Load shedding can be achieved by lighting reduction, demand defrost and defrost termination, infiltration reduction, and shutting down miscellaneous equipment. Estimation of the costs and benefits of demand response participation yields simple payback periods of 2-4 years. To improve demand response performance, it’s suggested to install air curtains and another form of infiltration barrier, such as a rollup door, for the passageways. Further modifications to increase efficiency of the refrigeration unit are also analyzed. A larger condenser can maintain the minimum saturated condensing temperature (SCT) for more hours of the day. Lowering the SCT reduces the compressor lift, which results in an overall increase in refrigeration system capacity and energy efficiency. Another way of saving energy in refrigerated warehouses is eliminating the use of under-floor resistance heaters. A more energy efficient alternative to resistance heaters is to utilize the heat that is being rejected from the condenser through a heat exchanger. These energy efficiency measures improve efficiency either by reducing the required electric energy input for the refrigeration system, by helping to curtail the refrigeration load on the system, or by reducing both the load and required energy input.

  6. The Data Warehouse: Keeping It Simple. MIT Shares Valuable Lessons Learned from a Successful Data Warehouse Implementation.

    Science.gov (United States)

    Thorne, Scott

    2000-01-01

    Explains why the data warehouse is important to the Massachusetts Institute of Technology community, describing its basic functions and technical design points; sharing some non-technical aspects of the school's data warehouse implementation that have proved to be important; examining the importance of proper training in a successful warehouse…

  7. Enhanced Architecture of a Web Warehouse based on Quality Evaluation Framework to Incorporate Quality Aspects in Web Warehouse Creation

    Directory of Open Access Journals (Sweden)

    Umm-e-Mariya Shah

    2011-01-01

    Full Text Available In the recent years, it has been observed that World Wide Web (www became a vast source of information explosion about all areas of interest. Relevant information retrieval is difficult from the web space as there is no universal configuration and organization of the web data. Taking the advantage of data warehouse functionality and integrating it with the web to retrieve relevant data is the core concept of web warehouse. It is a repository that store relevant web data for business decision making. The basic function of web warehouse is to collect and store the information for analysis of users. The quality of web warehouse data affects a lot on data analysis. To enhance the quality of decision making different quality dimensions must be incorporated in web warehouse architecture. In this paper enhanced web warehouse architecture is proposed and discussed. The enhancement in the existing architecture is based on the quality evaluation framework. The enhanced architecture adds three layers in existing architecture to insure quality at various phases of web warehouse system creation. The source assessment, query evaluation and data quality layers enhance the quality of data store in web warehouse.

  8. Mobile Information Collectors' Trajectory Data Warehouse Design

    CERN Document Server

    oueslati, wided

    2010-01-01

    To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (physicians, commercial representatives, transporters, ecologists ...) concerned with mobility. This work aims to make trajectories as a first class concept in the trajectory data conceptual model and to design a TDW, in which data resulting from mobile information collectors' trajectory are gathered. These data will be analyzed, according to trajectory characteristics, for decision making purposes, such as new products commercialization, new commerce implementation, etc.

  9. 19 CFR 19.14 - Materials for use in manufacturing warehouse.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Materials for use in manufacturing warehouse. 19... Manufacturing Warehouses § 19.14 Materials for use in manufacturing warehouse. (a) Imported merchandise to be used in a bonded manufacturing warehouse shall be entered on Customs Form 7501 at the port at...

  10. 27 CFR 44.210 - Return of shipment to factory or export warehouse.

    Science.gov (United States)

    2010-04-01

    ... factory or export warehouse. 44.210 Section 44.210 Alcohol, Tobacco Products and Firearms ALCOHOL AND... Proprietors Miscellaneous Provisions § 44.210 Return of shipment to factory or export warehouse. A manufacturer or export warehouse proprietor may return to his factory or export warehouse, without...

  11. 27 CFR 44.201 - Return to manufacturer or customs warehouse proprietor.

    Science.gov (United States)

    2010-04-01

    ... customs warehouse proprietor. 44.201 Section 44.201 Alcohol, Tobacco Products and Firearms ALCOHOL AND... Proprietors Notice of Removal of Shipment § 44.201 Return to manufacturer or customs warehouse proprietor... to the factory, or cigars are removed from such a warehouse for return to a customs warehouse,...

  12. 76 FR 13973 - United States Warehouse Act; Processed Agricultural Products Licensing Agreement

    Science.gov (United States)

    2011-03-15

    ... Farm Service Agency United States Warehouse Act; Processed Agricultural Products Licensing Agreement... warehouse licenses may be issued under the United States Warehouse Act (USWA). Through this notice, FSA is... processed agricultural products that are stored in climate controlled, cooler, and freezer warehouses....

  13. 7 CFR 29.9406 - Failure of warehouse to comply with opening and selling schedule.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Failure of warehouse to comply with opening and... Markets § 29.9406 Failure of warehouse to comply with opening and selling schedule. (a) Each warehouse... warehouse may exceed its scheduled sales opportunity for designated or undesignated tobacco, but the...

  14. 7 CFR 800.185 - Duties of official personnel and warehouse samplers.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Duties of official personnel and warehouse samplers... official personnel and warehouse samplers. (a) General. Official personnel and warehouse samplers shall... of § 800.161. (d) Scope of operations. Official personnel and warehouse samplers shall operate...

  15. 7 CFR 735.401 - Electronic warehouse receipt and USWA electronic document providers.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Electronic warehouse receipt and USWA electronic... (Continued) FARM SERVICE AGENCY, DEPARTMENT OF AGRICULTURE REGULATIONS FOR WAREHOUSES REGULATIONS FOR THE UNITED STATES WAREHOUSE ACT Electronic Providers § 735.401 Electronic warehouse receipt and...

  16. WATCHMAN: A Data Warehouse Intelligent Cache Manager

    Science.gov (United States)

    Scheuermann, Peter; Shim, Junho; Vingralek, Radek

    1996-01-01

    Data warehouses store large volumes of data which are used frequently by decision support applications. Such applications involve complex queries. Query performance in such an environment is critical because decision support applications often require interactive query response time. Because data warehouses are updated infrequently, it becomes possible to improve query performance by caching sets retrieved by queries in addition to query execution plans. In this paper we report on the design of an intelligent cache manager for sets retrieved by queries called WATCHMAN, which is particularly well suited for data warehousing environment. Our cache manager employs two novel, complementary algorithms for cache replacement and for cache admission. WATCHMAN aims at minimizing query response time and its cache replacement policy swaps out entire retrieved sets of queries instead of individual pages. The cache replacement and admission algorithms make use of a profit metric, which considers for each retrieved set its average rate of reference, its size, and execution cost of the associated query. We report on a performance evaluation based on the TPC-D and Set Query benchmarks. These experiments show that WATCHMAN achieves a substantial performance improvement in a decision support environment when compared to a traditional LRU replacement algorithm.

  17. Data mining a diabetic data warehouse.

    Science.gov (United States)

    Breault, Joseph L; Goodall, Colin R; Fos, Peter J

    2002-01-01

    Diabetes is a major health problem in the United States. There is a long history of diabetic registries and databases with systematically collected patient information. We examine one such diabetic data warehouse, showing a method of applying data mining techniques, and some of the data issues, analysis problems, and results. The diabetic data warehouse is from a large integrated health care system in the New Orleans area with 30,383 diabetic patients. Methods for translating a complex relational database with time series and sequencing information to a flat file suitable for data mining are challenging. We discuss two variables in detail, a comorbidity index and the HgbA1c, a measure of glycemic control related to outcomes. We used the classification tree approach in Classification and Regression Trees (CART) with a binary target variable of HgbA1c >9.5 and 10 predictors: age, sex, emergency department visits, office visits, comorbidity index, dyslipidemia, hypertension, cardiovascular disease, retinopathy, end-stage renal disease. Unexpectedly, the most important variable associated with bad glycemic control is younger age, not the comorbiditity index or whether patients have related diseases. If we want to target diabetics with bad HgbA1c values, the odds of finding them is 3.2 times as high in those Data mining can discover novel associations that are useful to clinicians and administrators [corrected].

  18. A PROPOSAL OF DATA QUALITY FOR DATA WAREHOUSES ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Leo Willyanto Santoso

    2006-01-01

    Full Text Available The quality of the data provided is critical to the success of data warehousing initiatives. There is strong evidence that many organisations have significant data quality problems, and that these have substantial social and economic impacts. This paper describes a study which explores modeling of the dynamic parts of the data warehouse. This metamodel enables data warehouse management, design and evolution based on a high level conceptual perspective, which can be linked to the actual structural and physical aspects of the data warehouse architecture. Moreover, this metamodel is capable of modeling complex activities, their interrelationships, the relationship of activities with data sources and execution details.

  19. Usage of data warehouse for analysing software's bugs

    Science.gov (United States)

    Živanov, Danijel; Krstićev, Danijela Boberić; Mirković, Duško

    2017-07-01

    We analysed the database schema of Bugzilla system and taking into account user's requirements for reporting, we presented a dimensional model for the data warehouse which will be used for reporting software defects. The idea proposed in this paper is not to throw away Bugzilla system because it certainly has many strengths, but to make integration of Bugzilla and the proposed data warehouse. Bugzilla would continue to be used for recording bugs that occur during the development and maintenance of software while the data warehouse would be used for storing data on bugs in an appropriate form, which is more suitable for analysis.

  20. Intelligent Control Mechanism of Part Picking Operations of Automated Warehouse

    Institute of Scientific and Technical Information of China (English)

    Chwen-Tzeng; Su

    2002-01-01

    This paper studies the part picking operations of a ut omated warehouse. It assumed the demand of picking orders of automated warehouse are dynamic generated. Once the picking orders of certain period of time are kn own, it is necessary to decide an efficient order picking sequence and routing t o minimize the total travel distance to complete those orders. Assumed there are n i items to be picked in order O i. Each item in the picking ord er is located in different locations in the warehouse. Since i...

  1. Materialized View Selection by Query Clustering in XML Data Warehouses

    CERN Document Server

    Mahboubi, Hadj; Darmont, Jérôme

    2008-01-01

    XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited performances and it is necessary to design strategies to optimize them. In this paper, we propose an automatic strategy for the selection of XML materialized views that exploits a data mining technique, more precisely the clustering of the query workload. To validate our strategy, we implemented an XML warehouse modeled along the XCube specifications. We executed a workload of XQuery decision-support queries on this warehouse, with and without using our strategy. Our experimental results demonstrate its efficiency, even when queries are complex.

  2. Data warehouse and data mining in a surgical clinic.

    Science.gov (United States)

    Tusch, G; Müller, M; Rohwer-Mensching, K; Heiringhoff, K; Klempnauer, J

    2000-01-01

    Hospitals and clinics have taken advantage of information systems to streamline many clinical and administrative processes. However, the potential of health care information technology as a source of data for clinical and administrative decision support has not been fully explored. In response to pressure for timely information, many hospitals are developing clinical data warehouses. This paper attempts to identify problem areas in the process of developing a data warehouse to support data mining in surgery. Based on the experience from a data warehouse in surgery several solutions are discussed.

  3. 31 CFR 560.408 - Importation into and release from a bonded warehouse or foreign trade zone.

    Science.gov (United States)

    2010-07-01

    ... bonded warehouse or foreign trade zone. 560.408 Section 560.408 Money and Finance: Treasury Regulations... warehouse or foreign trade zone. The prohibitions in § 560.201 apply to importation into a bonded warehouse... bonded warehouse or a foreign trade zone of Iranian-origin goods imported into a bonded warehouse or...

  4. Warehouse Optimization Model Based on Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Guofeng Qin

    2013-01-01

    Full Text Available This paper takes Bao Steel logistics automated warehouse system as an example. The premise is to maintain the focus of the shelf below half of the height of the shelf. As a result, the cost time of getting or putting goods on the shelf is reduced, and the distance of the same kind of goods is also reduced. Construct a multiobjective optimization model, using genetic algorithm to optimize problem. At last, we get a local optimal solution. Before optimization, the average cost time of getting or putting goods is 4.52996 s, and the average distance of the same kinds of goods is 2.35318 m. After optimization, the average cost time is 4.28859 s, and the average distance is 1.97366 m. After analysis, we can draw the conclusion that this model can improve the efficiency of cargo storage.

  5. A Survey on Data Warehouse Evolution

    CERN Document Server

    oueslati, wided

    2010-01-01

    The data warehouse (DW) technology was developed to integrate heterogeneous information sources for analysis purposes. Information sources are more and more autonomous and they often change their content due to perpetual transactions (data changes) and may change their structure due to continual users' requirements evolving (schema changes). Handling properly all type of changes is a must. In fact, the DW which is considered as the core component of the modern decision support systems has to be update according to different type of evolution of information sources to reflect the real world subject to analysis. The goal of this paper is to propose an overview and a comparative study between different works related to the DW evolution problem.

  6. On the issues of building Information Warehouses

    CERN Document Server

    Laha, Arijit

    2009-01-01

    While performing knowledge-intensive tasks of professional nature, the knowledge workers need to access and process large volume of information. Apart from the quantity, they also require that the information received is of high quality in terms of authenticity and details. This, in turn, requires that the information delivered should also include argumentative support, exhibiting the reasoning process behind their development and provenance to indicate their lineage. In conventional document-centric practices for information management, such details are difficult to capture, represent/archive and retrieve/deliver. To achieve such capability we need to re-think some core issues of information management from the above requirements perspective. In this paper we develop a framework for comprehensive representation of information in archive, capturing informational contents along with their context. We shall call it the "Information Warehouse (IW)" framework of information archival. The IW is a significant yet t...

  7. Extended SQL for manipulating clinical warehouse data.

    Science.gov (United States)

    Johnson, S B; Chatziantoniou, D

    1999-01-01

    Health care institutions are beginning to collect large amounts of clinical data through patient care applications. Clinical data warehouses make these data available for complex analysis across patient records, benefiting administrative reporting, patient care and clinical research. Data gathered for patient care purposes are difficult to manipulate for analytic tasks; the schema presents conceptual difficulties for the analyst, and many queries perform poorly. An extension to SQL is presented that enables the analyst to designate groups of rows. These groups can then be manipulated and aggregated in various ways to solve a number of useful analytic problems. The extended SQL is concise and runs in linear time, while standard SQL requires multiple statements with polynomial performance. The extensions are extremely powerful for performing aggregations on large amounts of data, which is useful in clinical data mining applications.

  8. Minimizing Warehouse Space with a Dedicated Storage Policy

    Directory of Open Access Journals (Sweden)

    Andrea Fumi

    2013-07-01

    inevitably be supported by warehouse management system software. On the contrary, the proposed methodology relies upon a dedicated storage policy, which is easily implementable by companies of all sizes without the need for investing in expensive IT tools.

  9. A Multidimensional Data Warehouse for Community Health Centers.

    Science.gov (United States)

    Kunjan, Kislaya; Toscos, Tammy; Turkcan, Ayten; Doebbeling, Brad N

    2015-01-01

    Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across the practice. We have developed a multidimensional clinic data warehouse (CDW) by working with 7 CHCs across the state of Indiana and integrating their operational, financial and electronic patient records to support ongoing delivery of care. We describe in detail the rationale for the project, the data architecture employed, the content of the data warehouse, along with a description of the challenges experienced and strategies used in the development of this repository that may help other researchers, managers and leaders in health informatics. The resulting multidimensional data warehouse is highly practical and is designed to provide a foundation for wide-ranging healthcare data analytics over time and across the community health research enterprise.

  10. Canada-BC data warehouse: information architecture strategy

    National Research Council Canada - National Science Library

    2000-01-01

    This document provides the final needs assessment and results analysis components of the Canada/BC Data Warehouse - Phase 2 Business Requirements Project along with the recommended options and deployment strategy...

  11. 19 CFR 19.1 - Classes of customs warehouses.

    Science.gov (United States)

    2010-04-01

    ... manufacture for home consumption or exportation of cigars in whole of tobacco imported from one country. (7... domestic consumption. (8) Class 8. Bonded warehouses established for the purpose of cleaning,...

  12. Data Mining-based Fragmentation of XML Data Warehouses

    CERN Document Server

    Mahboubi, Hadj

    2008-01-01

    With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve. However, XML-native database systems currently suffer from limited performances, both in terms of manageable data volume and response time. Fragmentation helps address both these issues. Derived horizontal fragmentation is typically used in relational data warehouses and can definitely be adapted to the XML context. However, the number of fragments produced by classical algorithms is difficult to control. In this paper, we propose the use of a k-means-based fragmentation approach that allows to master the number of fragments through its $k$ parameter. We experimentally compare its efficiency to classical derived horizontal fragmentation algorithms adapted to XML data warehouses and show its superiority.

  13. Using Ontologies for the Design of Data Warehouses

    CERN Document Server

    Pardillo, Jesús; 10.5121/ijdms.2011.3205

    2011-01-01

    Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have detected a set of situations we have faced up with in real-world projects in which we believe that the use of ontologies will improve several aspects of the design of data warehouses. The aim of this article is to describe several shortcomings of current data warehouse design approaches and discuss the benefit of using ontologies to overcome them. This work is a starting point for discussing the convenience of using ontologies in data warehouse design.

  14. Outpatient health care statistics data warehouse--implementation.

    Science.gov (United States)

    Zilli, D

    1999-01-01

    Data warehouse implementation is assumed to be a very knowledge-demanding, expensive and long-lasting process. As such it requires senior management sponsorship, involvement of experts, a big budget and probably years of development time. Presented Outpatient Health Care Statistics Data Warehouse implementation research provides ample evidence against the infallibility of the above statements. New, inexpensive, but powerful technology, which provides outstanding platform for On-Line Analytical Processing (OLAP), has emerged recently. Presumably, it will be the basis for the estimated future growth of data warehouse market, both in the medical and in other business fields. Methods and tools for building, maintaining and exploiting data warehouses are also briefly discussed in the paper.

  15. Planning of Creative Commercial Components Virtual Warehouse Platform

    Directory of Open Access Journals (Sweden)

    Wang Yantao

    2013-07-01

    Full Text Available In this study, through the analysis of actual goods warehouse application, creative commercial components virtual warehouse platform over the networks is proposed to support the complex mechanical product commercial work mode. This platform may play an important role during the collaborative commodity design process, especially the geometrical model to the commercial model. First, the framework of commercial design process was described detailed with the supporting of virtual components warehouse platform. Then, those platform features such as networks-based, agent-oriented and enterprises alliance-served were discussed. The platform application modes, on-line stocking and inquiring were also classified. Finally, the planning framework of the commercial components virtual warehouse platform was studied detailed.

  16. Decision method for optimal selection of warehouse material handling strategies by production companies

    Science.gov (United States)

    Dobos, P.; Tamás, P.; Illés, B.

    2016-11-01

    Adequate establishment and operation of warehouse logistics determines the companies’ competitiveness significantly because it effects greatly the quality and the selling price of the goods that the production companies produce. In order to implement and manage an adequate warehouse system, adequate warehouse position, stock management model, warehouse technology, motivated work force committed to process improvement and material handling strategy are necessary. In practical life, companies have paid small attantion to select the warehouse strategy properly. Although it has a major influence on the production in the case of material warehouse and on smooth costumer service in the case of finished goods warehouse because this can happen with a huge loss in material handling. Due to the dynamically changing production structure, frequent reorganization of warehouse activities is needed, on what the majority of the companies react basically with no reactions. This work presents a simulation test system frames for eligible warehouse material handling strategy selection and also the decision method for selection.

  17. Operational management system for warehouse logistics of metal trading companies

    Directory of Open Access Journals (Sweden)

    Khayrullin Rustam Zinnatullovich

    2014-07-01

    Full Text Available Logistics is an effective tool in business management. Metal trading business is a part of metal promotion chain from producer to consumer. It's designed to serve as a link connecting the interests of steel producers and end users. We should account for the specifics warehousing trading. The specificity of warehouse metal trading consists primarily in the fact that the purchase is made in large lots, and the sale - in medium and small parties. Loading and unloading of cars and trucks is produced by overhead cranes. Some part of the purchased goods are shipped in relatively large lots without presales preparation. Another part of the goods undergoes presale preparation. Indoor and outdoor warehouses are used with the address storage system. In the process of prolonged storage the metal rusts. Some part of the goods is subjected to final completion (cutting, welding, coloration in service centers and small factories, usually located at the warehouse. The quantity of simultaneously shipped cars, and the quantity of the loader workers brigade can reach few dozens. So it is necessary to control the loading workers, to coordinate and monitor the performance of loading and unloading operations, to make the daily analysis of their work, to evaluate the warehouse operations as a whole. There is a need to manage and control movement of cars and trucks on the warehouse territory to reduce storage and transport costs and improve customer service. ERP-systems and WMS-systems, which are widely used, do not cover fully the functions and processes of the warehouse trading, and do not effectively manage all logistics processes. In this paper the specialized software is proposed. The software is intended for operational logistics management in warehouse metal products trading. The basic functions and processes of metal warehouse trading are described. The effectiveness indices for logistics processes and key effective indicators of warehouse trading are proposed

  18. A study on building data warehouse of hospital information system.

    Science.gov (United States)

    Li, Ping; Wu, Tao; Chen, Mu; Zhou, Bin; Xu, Wei-guo

    2011-08-01

    Existing hospital information systems with simple statistical functions cannot meet current management needs. It is well known that hospital resources are distributed with private property rights among hospitals, such as in the case of the regional coordination of medical services. In this study, to integrate and make full use of medical data effectively, we propose a data warehouse modeling method for the hospital information system. The method can also be employed for a distributed-hospital medical service system. To ensure that hospital information supports the diverse needs of health care, the framework of the hospital information system has three layers: datacenter layer, system-function layer, and user-interface layer. This paper discusses the role of a data warehouse management system in handling hospital information from the establishment of the data theme to the design of a data model to the establishment of a data warehouse. Online analytical processing tools assist user-friendly multidimensional analysis from a number of different angles to extract the required data and information. Use of the data warehouse improves online analytical processing and mitigates deficiencies in the decision support system. The hospital information system based on a data warehouse effectively employs statistical analysis and data mining technology to handle massive quantities of historical data, and summarizes from clinical and hospital information for decision making. This paper proposes the use of a data warehouse for a hospital information system, specifically a data warehouse for the theme of hospital information to determine latitude, modeling and so on. The processing of patient information is given as an example that demonstrates the usefulness of this method in the case of hospital information management. Data warehouse technology is an evolving technology, and more and more decision support information extracted by data mining and with decision-making technology is

  19. The impact of e-commerce on warehouse operations

    OpenAIRE

    Wiktor Żuchowski

    2016-01-01

    Background: We often encounter opinions concerning the unusual nature of warehouses used for the purposes of e-commerce, most often spread by providers of modern technological equipment and designers of such solutions. Of course, in the case of newly built facilities, it is advisable to consider innovative technologies, especially in terms of order picking. However, in many cases, the differences between "standard" warehouses, serving, for example, the vehicle spare parts market, an...

  20. A Performance Evaluation of Online Warehouse Update Algorithms

    Science.gov (United States)

    1998-01-01

    able to present a fully consistent ver- sion of the warehouse to the queries while the warehouse is being updated. Multiversioning has been used...LST97]). Special- ized multiversion access structures have also been proposed ([LS89, LS90, dBS96, BC97, VV97, MOPW98]) In the context of OLTP systems...collection processes. 2.1 Multiversioning MVNL supports multiple versions by using Time Travel ([Sto87]). Each row has two extra at- tributes, Tmin

  1. A study on building data warehouse of hospital information system

    Institute of Scientific and Technical Information of China (English)

    LI Ping; WU Tao; CHEN Mu; ZHOU Bin; XU Wei-guo

    2011-01-01

    Background Existing hospital information systems with simple statistical functions cannot meet current management needs. It is well known that hospital resources are distributed with private property rights among hospitals, such as in the case of the regional coordination of medical services. In this study, to integrate and make full use of medical data effectively, we propose a data warehouse modeling method for the hospital information system. The method can also be employed for a distributed-hospital medical service system. Methods To ensure that hospital information supports the diverse needs of health care, the framework of the hospital information system has three layers: datacenter layer, system-function layer, and user-interface layer. This paper discusses the role of a data warehouse management system in handling hospital information from the establishment of the data theme to the design of a data model to the establishment of a data warehouse. Online analytical processing tools assist user-friendly multidimensional analysis from a number of different angles to extract the required data and information. Results Use of the data warehouse improves online analytical processing and mitigates deficiencies in the decision support system. The hospital information system based on a data warehouse effectively employs statistical analysis and data mining technology to handle massive quantities of historical data, and summarizes from clinical and hospital information for decision making. Conclusions This paper proposes the use of a data warehouse for a hospital information system, specifically a data warehouse for the theme of hospital information to determine latitude, modeling and so on. The processing of patient information is given as an example that demonstrates the usefulness of this method in the case of hospital information management. Data warehouse technology is an evolving technology, and more and more decision support information extracted by data mining

  2. N Research on 3D Visualization of Warehouse

    Institute of Scientific and Technical Information of China (English)

    Lintao Du; Jianliang Xu; Jingjing Sun

    2012-01-01

      With the development of technology,visual management for warehouse now can use 3D simulation technology in combination with database system to gain better results. This paper focuses on the method for presentation architecture. Using 3DMAX and WPF 3D technology with MVVM and Prism to create the geometry, mathematical model,the warehouse can be dynamically presented by the computer according to the customization,thus can realize quick location,view of materials in storage.

  3. DEVS Models of Palletized Ground Stacking in Storeyed Grain Warehouse

    Directory of Open Access Journals (Sweden)

    Hou Shu-Yi

    2016-01-01

    Full Text Available Processed grain stored in storeyed warehouse is generally stacked on the ground without pallets. However, in order to improve the storing way, we developed a new stacking method, palletized ground stacking. Simulation should be used to present this new storing way. DEVS provides a formalized way to describe the system model. In this paper, DEVS models of palletized ground stacking in storeyed grain warehouse are given and a simulation model is developed by AutoMod.

  4. Localization of pallets in warehouses using passive RFID system

    Institute of Scientific and Technical Information of China (English)

    周俊儒; 张宏建; 周洪亮

    2015-01-01

    Warehouse operation has become a critical activity in supply chain. Position information of pallets is important in warehouse management which can enhance the efficiency of pallets picking and sortation. Radio frequency identification (RFID) has been widely used in warehouse for item identifying. Meanwhile, RFID technology also has great potential for pallets localization which is underutilized in warehouse management. RFID-based checking-in and inventory systems have been applied in warehouse management by many enterprises. Localization approach is studied, which is compatible with existing RFID checking-in and inventory systems. A novel RFID localization approach is proposed for pallets checking-in. Phase variation of nearby tags was utilized to estimate the position of added pallets. A novel inventory localization approach combing angle of arrival (AOA) measurement and received signal strength (RSS) is also proposed for pallets inventory. Experiments were carried out using standard UHF passive RFID system. Experimental results show an acceptable localization accuracy which can satisfy the requirement of warehouse management.

  5. Design and applications of a multimodality image data warehouse framework.

    Science.gov (United States)

    Wong, Stephen T C; Hoo, Kent Soo; Knowlton, Robert C; Laxer, Kenneth D; Cao, Xinhau; Hawkins, Randall A; Dillon, William P; Arenson, Ronald L

    2002-01-01

    A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications--namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains.

  6. An Architecture for Handling Fuzzy Queries in Data Warehouses

    Science.gov (United States)

    Singh, Manu Pratap; Tiwari, Rajdev; Mahajan, Manish; Dani, Diksha

    This paper presents an augmented architecture of Data Warehouse for fuzzy query handling to improve the performance of Data Mining process. The performance of Data Mining may become worst while mining the fuzzy information from the large Data Warehouses. There are number of preprocessing steps suggested and implemented so far to support the mining process. But querying large Data warehouses for fuzzy information is still a challenging task for the researchers’ community. The model proposed here may provide a more realistic and powerful technique for handling the vague queries directly. The basic idea behind the creation of Data Warehouses is to integrate a large amount of pre-fetched data and information from the distributed sources for direct querying and analysis .But the end user’s queries contain the maximum fuzziness and to handle those queries directly may not yield the desired response. So the model proposed here will create a fuzzy extension of Data warehouse by applying Neuro-Fuzzy technique and the fuzzy queries then will get handled directly by the extension of data warehouse.

  7. Design and Applications of a Multimodality Image Data Warehouse Framework

    Science.gov (United States)

    Wong, Stephen T.C.; Hoo, Kent Soo; Knowlton, Robert C.; Laxer, Kenneth D.; Cao, Xinhau; Hawkins, Randall A.; Dillon, William P.; Arenson, Ronald L.

    2002-01-01

    A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications—namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains. PMID:11971885

  8. Implementation of Lean Warehouse to Minimize Wastes in Finished Goods Warehouse of PT Charoen Pokphand Indonesia Semarang

    Directory of Open Access Journals (Sweden)

    Nia Budi Puspitasari

    2016-03-01

    Full Text Available PT. Charoen Pokphand Indonesia Semarang is one of the largest poultry feed companies in Indonesia. To store the finished products that are ready to be distributed, it needs a finished goods warehouse. To minimize the wastes that occur in the process of warehousing the finished goods, the implementation of lean warehouse is required. The core process of finished goods warehouse is the process of putting bag that has been through the process of pallets packing, and then transporting the pallets contained bags of feed at finished goods warehouses and the process of unloading food from the finished goods warehouse to the distribution truck. With the implementation of the lean warehouse, we can know whether the activities are value added or not, to be identified later which type of waste happened. Opinions of stakeholders regarding the waste that must be eliminated first need to be determined by questionnaires. Based on the results of the questionnaires, three top wastes are selected to be identified the cause by using fishbone diagram. They can be repaired by using the implementation of 5S, namely Seiri, Seiton, Seiso, Seiketsu, and Shitsuke. Defect waste can be minimized by selecting pallet, putting sack correctly, forklift line clearance, applying working procedures, and creating cleaning schedule. Next, overprocessing waste is minimized by removing unnecessary items, putting based on the date of manufacture, and manufacture of feed plan. Inventory waste is minimized by removing junks, putting feed based on the expired date, and cleaning the barn

  9. Report: Early Warning Report: Main EPA Headquarters Warehouse in Landover, Maryland, Requires Immediate EPA Attention

    Science.gov (United States)

    Report #13-P-0272, May 31, 2013. Our initial research at the EPA’s Landover warehouse raised significant concerns with the lack of agency oversight of personal property and warehouse space at the facility.

  10. 77 FR 6814 - Agency Information Collection Activities: Bonded Warehouse Proprietor's Submission

    Science.gov (United States)

    2012-02-09

    ... SECURITY U.S. Customs and Border Protection Agency Information Collection Activities: Bonded Warehouse... the Bonded Warehouse Proprietor's Submission (CBP Form 300). This request for comment is being made... CBP is soliciting comments concerning the following information collection: Title: Bonded...

  11. Measuring Mortality Information in Clinical Data Warehouses.

    Science.gov (United States)

    Jones, Barrett; Vawdrey, David K

    2015-01-01

    The ability to track and report long-term outcomes, especially mortality, is essential for advancing clinical research. The purpose of this study was to present a framework for assessing the quality of mortality information in clinical research databases. Using the clinical data warehouse (CDW) at Columbia University Medical Center as a case study, we measured: 1) agreement in vital status between our institution's patient registration system and the U.S. Social Security Administration's Death Master File (DMF), 2) the proportion of patients marked as deceased according to the DMF records who had subsequent visits to our institution, and 3) the proportion of patients still living according to Columbia's CDW who were over 100 and 120 years of age. Of 33,295 deaths recorded in our institution's patient registration system, 13,167 (39.5%) did not exist in the DMF. Of 315,037 patients in our CDW who marked as deceased according to the DMF, 2.1% had a subsequent clinical encounter at our institution. The proportion of patients still living according to Columbia's CDW who were over 100 and 120 years of age was 43.6% and 43.1%, respectively. These measures may be useful to other clinical research investigators seeking to assess the quality of mortality data (1-4).

  12. Data Warehouse Governance Programs in Healthcare Settings: A Literature Review and a Call to Action

    OpenAIRE

    Elliott, Thomas E; Holmes, John H; Davidson,Arthur J.; La Chance, Pierre-Andre; Nelson, Andrew F.; Steiner, John F.

    2013-01-01

    Purpose: Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. Methods: A comprehensive literature search using five data bases, journal article title-search, and citation searc...

  13. Radio frequency identification (RFID) technologies for locating warehouse resources: A conceptual framework

    OpenAIRE

    Hassan, M; M Ali; Aktas, E

    2012-01-01

    Copyright @ 2012 Information Technology Society In the supply chain, a warehouse is a crucial component for linking all chain parties. It is necessary to track the real time resource location and status to support warehouse operations effectively. Therefore, RFID technology has been adopted to facilitate the collection and sharing of data in a warehouse environment. However, an essential decision should be made on the type of RFID tags the warehouse managers should adopt, because it is ver...

  14. Optimized Database of Higher Education Management Using Data Warehouse

    Directory of Open Access Journals (Sweden)

    Spits Warnars

    2010-04-01

    Full Text Available The emergence of new higher education institutions has created the competition in higher education market, and data warehouse can be used as an effective technology tools for increasing competitiveness in the higher education market. Data warehouse produce reliable reports for the institution’s high-level management in short time for faster and better decision making, not only on increasing the admission number of students, but also on the possibility to find extraordinary, unconventional funds for the institution. Efficiency comparison was based on length and amount of processed records, total processed byte, amount of processed tables, time to run query and produced record on OLTP database and data warehouse. Efficiency percentages was measured by the formula for percentage increasing and the average efficiency percentage of 461.801,04% shows that using data warehouse is more powerful and efficient rather than using OLTP database. Data warehouse was modeled based on hypercube which is created by limited high demand reports which usually used by high level management. In every table of fact and dimension fields will be inserted which represent the loading constructive merge where the ETL (Extraction, Transformation and Loading process is run based on the old and new files.

  15. TRUNCATULIX--a data warehouse for the legume community.

    Science.gov (United States)

    Henckel, Kolja; Runte, Kai J; Bekel, Thomas; Dondrup, Michael; Jakobi, Tobias; Küster, Helge; Goesmann, Alexander

    2009-02-11

    Databases for either sequence, annotation, or microarray experiments data are extremely beneficial to the research community, as they centrally gather information from experiments performed by different scientists. However, data from different sources develop their full capacities only when combined. The idea of a data warehouse directly adresses this problem and solves it by integrating all required data into one single database - hence there are already many data warehouses available to genetics. For the model legume Medicago truncatula, there is currently no such single data warehouse that integrates all freely available gene sequences, the corresponding gene expression data, and annotation information. Thus, we created the data warehouse TRUNCATULIX, an integrative database of Medicago truncatula sequence and expression data. The TRUNCATULIX data warehouse integrates five public databases for gene sequences, and gene annotations, as well as a database for microarray expression data covering raw data, normalized datasets, and complete expression profiling experiments. It can be accessed via an AJAX-based web interface using a standard web browser. For the first time, users can now quickly search for specific genes and gene expression data in a huge database based on high-quality annotations. The results can be exported as Excel, HTML, or as csv files for further usage. The integration of sequence, annotation, and gene expression data from several Medicago truncatula databases in TRUNCATULIX provides the legume community with access to data and data mining capability not previously available. TRUNCATULIX is freely available at http://www.cebitec.uni-bielefeld.de/truncatulix/.

  16. Efficient Aggregation Algorithms on Very Large Compressed Data Warehouses

    Institute of Scientific and Technical Information of China (English)

    LI Jianzhong; LI Yingshu; Jaideep Srivastava

    2000-01-01

    Multidimensional aggregation is a dominant operation on data warehouses for on-line analytical processing (CLAP). Many efficient algorithms to compute multidimensional aggregation on relational database based data warehouses have been developed. However, to our knowledge, there is nothing to date in the literature about aggregation algorithms on multidimensional data warehouses that store datasets in multidimensional arrays rather than in tables. This paper presents a set of multidimensional aggregation algorithms on very large and compressed multidimensional data warehouses. These algorithms operate directly on compressed datasets in multidimensional data warehouses without the need to first decompress them. They are applicable to a variety of data compression methods. The algorithms have different performance behavior as a function of dataset parameters, sizes of outputs and main memory availability. The algorithms are described and analyzed with respect to the I/O and CPU costs. A decision procedure to select the most efficient algorithm, given an aggregation request, is also proposed. The analytical and experimental results show that the algorithms are more efficient than the traditional aggregation algorithms.

  17. 7 CFR 1427.16 - Movement and protection of warehouse-stored cotton.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Movement and protection of warehouse-stored cotton... Cotton Loan and Loan Deficiency Payments § 1427.16 Movement and protection of warehouse-stored cotton. (a... to the following conditions: (1) The cotton is represented by an electronic warehouse receipt;...

  18. 77 FR 20353 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Science.gov (United States)

    2012-04-04

    ...; ] DEPARTMENT OF AGRICULTURE Farm Service Agency United States Warehouse Act; Export Food Aid Commodities... agreement offered by the Farm Service Agency (FSA) under the United States Warehouse Act (USWA... voluntary program. Warehouse operators that apply for USWA licensing agree to be licensed, comply with...

  19. 76 FR 13972 - United States Warehouse Act; Export Food Aid Commodities Licensing Agreement

    Science.gov (United States)

    2011-03-15

    ... Farm Service Agency United States Warehouse Act; Export Food Aid Commodities Licensing Agreement AGENCY... warehouse licenses may be issued under the United States ] Warehouse Act (USWA). Through this notice, FSA is... licenses for agricultural products include grain, cotton, nuts, cottonseed, and dry beans....

  20. 27 CFR 31.61 - Single sale of liquors or warehouse receipts.

    Science.gov (United States)

    2010-04-01

    ... warehouse receipts. 31.61 Section 31.61 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND... Persons Who Are Not Dealers in Liquors Or Beer § 31.61 Single sale of liquors or warehouse receipts. A single sale of distilled spirits, wines, or beer, or a single sale of one or more warehouse receipts...

  1. 19 CFR 125.32 - Merchandise delivered to a bonded store or bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... warehouse. 125.32 Section 125.32 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND... Merchandise delivered to a bonded store or bonded warehouse. When merchandise is carried, carted or lightered to and received in a bonded store or bonded warehouse, the proprietor or his representative...

  2. 7 CFR 1421.106 - Warehouse-stored marketing assistance loan collateral.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Warehouse-stored marketing assistance loan collateral... Marketing Assistance Loans § 1421.106 Warehouse-stored marketing assistance loan collateral. (a) A commodity may be pledged as collateral for a warehouse-stored marketing assistance loan in the...

  3. 19 CFR 159.52 - Warehouse entry not liquidated until final withdrawal.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Warehouse entry not liquidated until final withdrawal. 159.52 Section 159.52 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND... Warehouse entry not liquidated until final withdrawal. Liquidation of a warehouse or rewarehouse entry...

  4. 77 FR 26024 - Agency Information Collection Activities: Bonded Warehouse Proprietor's Submission

    Science.gov (United States)

    2012-05-02

    ... Information Collection Activities: Bonded Warehouse Proprietor's Submission AGENCY: U.S. Customs and Border... Warehouse Proprietor's Submission (CBP Form 300). This is a proposed extension of an information collection..., or other technological techniques or other forms of information. Title: Bonded Warehouse...

  5. 31 CFR 575.412 - Release of Iraqi goods from bonded warehouse or foreign trade zone.

    Science.gov (United States)

    2010-07-01

    ... warehouse or foreign trade zone. 575.412 Section 575.412 Money and Finance: Treasury Regulations Relating to... SANCTIONS REGULATIONS Interpretations § 575.412 Release of Iraqi goods from bonded warehouse or foreign trade zone. Section 575.204 does not prohibit the release from a bonded warehouse or a foreign...

  6. 19 CFR 191.155 - Merchandise withdrawn from warehouse for exportation.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Merchandise withdrawn from warehouse for... Custody § 191.155 Merchandise withdrawn from warehouse for exportation. The regulations in part 18 of this... from warehouse for exportation without payment of duty shall be followed to the extent applicable....

  7. 22 CFR 123.7 - Exports to warehouses or distribution points outside the United States.

    Science.gov (United States)

    2010-04-01

    ... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Exports to warehouses or distribution points... IN ARMS REGULATIONS LICENSES FOR THE EXPORT OF DEFENSE ARTICLES § 123.7 Exports to warehouses or... required to export defense articles to a warehouse or distribution point outside the United States...

  8. Data warehouse and data mining – neccessity or useless investment

    Directory of Open Access Journals (Sweden)

    Emil BURTESCU

    2010-05-01

    Full Text Available The organization has optimized databases which are used in currentoperations and also used as a part of decision support. What is the next step? DataWarehouses and Data Mining are indispensable and inseparable parts for modernorganization. Organizations will create data warehouses in order for them to be usedby business executives to take important decisions. And as data volume is very large,and a simple filtration of data is not enough in taking decisions, Data Miningtechniques will be called on. What must an organization do to implement a DataWarehouse and a Data Mining? Is this investment profitable (especially in theconditions of economic crisis? In the followings we will try to answer these questions.

  9. Lagrange multiplier for perishable inventory model considering warehouse capacity planning

    Science.gov (United States)

    Amran, Tiena Gustina; Fatima, Zenny

    2017-06-01

    This paper presented Lagrange Muktiplier approach for solving perishable raw material inventory planning considering warehouse capacity. A food company faced an issue of managing perishable raw materials and marinades which have limited shelf life. Another constraint to be considered was the capacity of the warehouse. Therefore, an inventory model considering shelf life and raw material warehouse capacity are needed in order to minimize the company's inventory cost. The inventory model implemented in this study was the adapted economic order quantity (EOQ) model which is optimized using Lagrange multiplier. The model and solution approach were applied to solve a case industry in a food manufacturer. The result showed that the total inventory cost decreased 2.42% after applying the proposed approach.

  10. Development of a Clinical Data Warehouse for Hospital Infection Control

    Science.gov (United States)

    Wisniewski, Mary F.; Kieszkowski, Piotr; Zagorski, Brandon M.; Trick, William E.; Sommers, Michael; Weinstein, Robert A.

    2003-01-01

    Existing data stored in a hospital's transactional servers have enormous potential to improve performance measurement and health care quality. Accessing, organizing, and using these data to support research and quality improvement projects are evolving challenges for hospital systems. The authors report development of a clinical data warehouse that they created by importing data from the information systems of three affiliated public hospitals. They describe their methodology; difficulties encountered; responses from administrators, computer specialists, and clinicians; and the steps taken to capture and store patient-level data. The authors provide examples of their use of the clinical data warehouse to monitor antimicrobial resistance, to measure antimicrobial use, to detect hospital-acquired bloodstream infections, to measure the cost of infections, and to detect antimicrobial prescribing errors. In addition, they estimate the amount of time and money saved and the increased precision achieved through the practical application of the data warehouse. PMID:12807807

  11. Development of a public health reporting data warehouse: lessons learned.

    Science.gov (United States)

    Rizi, Seyed Ali Mussavi; Roudsari, Abdul

    2013-01-01

    Data warehouse projects are perceived to be risky and prone to failure due to many organizational and technical challenges. However, often iterative and lengthy processes of implementation of data warehouses at an enterprise level provide an opportunity for formative evaluation of these solutions. This paper describes lessons learned from successful development and implementation of the first phase of an enterprise data warehouse to support public health surveillance at British Columbia Centre for Disease Control. Iterative and prototyping approach to development, overcoming technical challenges of extraction and integration of data from large scale clinical and ancillary systems, a novel approach to record linkage, flexible and reusable modeling of clinical data, and securing senior management support at the right time were the main factors that contributed to the success of the data warehousing project.

  12. Development of a clinical data warehouse for hospital infection control.

    Science.gov (United States)

    Wisniewski, Mary F; Kieszkowski, Piotr; Zagorski, Brandon M; Trick, William E; Sommers, Michael; Weinstein, Robert A

    2003-01-01

    Existing data stored in a hospital's transactional servers have enormous potential to improve performance measurement and health care quality. Accessing, organizing, and using these data to support research and quality improvement projects are evolving challenges for hospital systems. The authors report development of a clinical data warehouse that they created by importing data from the information systems of three affiliated public hospitals. They describe their methodology; difficulties encountered; responses from administrators, computer specialists, and clinicians; and the steps taken to capture and store patient-level data. The authors provide examples of their use of the clinical data warehouse to monitor antimicrobial resistance, to measure antimicrobial use, to detect hospital-acquired bloodstream infections, to measure the cost of infections, and to detect antimicrobial prescribing errors. In addition, they estimate the amount of time and money saved and the increased precision achieved through the practical application of the data warehouse.

  13. HEALTH CARE DATA WAREHOUSE SYSTEM ARCHITECTURE FOR INFLUENZA (FLU DISEASES

    Directory of Open Access Journals (Sweden)

    Rajib Dutta

    2013-02-01

    Full Text Available Data Warehouse is the most reliable technology used by the company for planning, forecasting and management. Critical business management data was contained in several unrelated and disconnected databases, both internally managed and from external sources. Client was unable to view the data from an integrated viewpoint. The data warehousing is one of the best technique to integrate data. This paper presents the Influenza (Flu diseases specific data warehouse architecture for health care. This could be used by the database administrator or executive manager, doctors, nurses, other staff members of the health care. Health care data warehouse is mostly important to integrate different data format from different data source. All information about patient including their medical test reports are store in the database, the executive manager needs to access those data and make a report. By seeing the report, the doctor takes action.

  14. Study of the Vertical Distribution of Air Temperature in Warehouses

    Directory of Open Access Journals (Sweden)

    César Porras-Amores

    2014-02-01

    Full Text Available Warehouses are usually large, plain industrial buildings commonly used for storage of goods. Vertical distribution of air temperature is an important aspect for indoor environment design, which must be taken into account by architects and engineers in the early stages of warehouse design. The aim of this work is to analyze the vertical temperature gradients existing in warehouses, quantifying their value and analyzing their evolution along the year. To do so, the study outlines the monitoring of several warehouses with different building typology and height located in different areas of Spain for a complete annual cycle. The results obtained when applying a simple linear regression analysis to 175,200 vertical temperature profiles show that there is a strong influence of the outdoor temperature over the stratification of the indoor air. During warm months, the ceiling and the upper strata get warmer, whereas the cold air accumulates in the lower levels, increasing the stratification of indoor air (maximum values between 0.3 °C/m and 0.7 °C/m. During cold months, the ceiling gets cold due to its contact with the outdoor air, therefore, the colder, heavier air moves down to the lower strata, registering insignificant vertical temperature differences. Air conditioning of the warehouse, besides controlling the temperature, limits the influence of the outdoor environment on the stratification of temperatures. The results of the study may be of great use for warehouses for products sensitive to temperature, which may suffer a different evolution, conservation or maturation when the temperature differences are maintained for a long time.

  15. Goal oriented requirements engineering in data warehouses: A comparative study

    Directory of Open Access Journals (Sweden)

    Ania Cravero Leal

    2014-07-01

    Full Text Available Data warehouses provide historical information about the organization that needs to be analyzed by the decision makers; therefore, it is essential to develop them in the context of a strategic business plan. In recent years, a number of engineering approaches for goal-oriented requirements have been proposed, which can obtain the information requirements of a data warehouse using traditional techniques and the objectives of the modeling. This paper provides an overview and a comparative study of the treatment of the requirements in the existing approaches to serve as a starting point for further research.

  16. Reliability in Warehouse-Scale Computing: Why Low Latency Matters

    DEFF Research Database (Denmark)

    Nannarelli, Alberto

    2015-01-01

    , the limiting factor of these warehouse-scale data centers is the power dissipation. Power is dissipated not only in the computation itself, but also in heat removal (fans, air conditioning, etc.) to keep the temperature of the devices within the operating ranges. The need to keep the temperature low within......Warehouse sized buildings are nowadays hosting several types of large computing systems: from supercomputers to large clusters of servers to provide the infrastructure to the cloud. Although the main target, especially for high-performance computing, is still to achieve high throughput...

  17. A study of multidimensional modeling approaches for data warehouse

    Science.gov (United States)

    Yusof, Sharmila Mat; Sidi, Fatimah; Ibrahim, Hamidah; Affendey, Lilly Suriani

    2016-08-01

    Data warehouse system is used to support the process of organizational decision making. Hence, the system must extract and integrate information from heterogeneous data sources in order to uncover relevant knowledge suitable for decision making process. However, the development of data warehouse is a difficult and complex process especially in its conceptual design (multidimensional modeling). Thus, there have been various approaches proposed to overcome the difficulty. This study surveys and compares the approaches of multidimensional modeling and highlights the issues, trend and solution proposed to date. The contribution is on the state of the art of the multidimensional modeling design.

  18. Capturing Complex Multidimensional Data in Location-Based Data Warehouses

    DEFF Research Database (Denmark)

    Timko, Igor; Pedersen, Torben Bach

    2004-01-01

    Motivated by the increasing need to handle complex multidimensional data inlocation-based data warehouses, this paper proposes apowerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportationinfrastructures and the att......Motivated by the increasing need to handle complex multidimensional data inlocation-based data warehouses, this paper proposes apowerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportationinfrastructures...

  19. Mastering data warehouse design relational and dimensional techniques

    CERN Document Server

    Imhoff, Claudia; Geiger, Jonathan G

    2003-01-01

    A cutting-edge response to Ralph Kimball''s challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousingWritten by one of the best-known exponents of the Bill Inmon approach to data warehousingAddresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problemsWeighs the pros and cons of relational vs. dimensional modeling techniquesFocuses on tough modeling problems, including creating and maintaining keys and modeling c

  20. The development of health care data warehouses to support data mining.

    Science.gov (United States)

    Lyman, Jason A; Scully, Kenneth; Harrison, James H

    2008-03-01

    Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.

  1. A Relevance-Extended Multi-dimensional Model for a Data Warehouse Contextualized with Documents

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Pedersen, Torben Bach; Berlanga, Rafael

    2005-01-01

    Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context associated with these data can be found in other internal and external sources of documents. In this paper we propose...... to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, contextualized warehouses keep a historical record of the facts and their contexts as described by the documents. In this framework, the user selects an analysis context which...

  2. Two-warehouse inventory model with ramp-type demand and partially backlogged shortages

    Science.gov (United States)

    Agrawal, Swati; Banerjee, Snigdha

    2011-07-01

    In this article, we consider an inventory model for items that are stored in two-warehouses when demand is a general ramp-type function of time. Shortages are allowed and a constant fraction of shortages is backlogged. The existence and uniqueness of optimal solution is proved for both - the single-warehouse and the two-warehouse models. An algorithm is developed to facilitate the choice between the two-warehouse and the single-warehouse systems and hence to obtain the optimal replenishment policy. Numerical examples are presented. Sensitivity analysis with respect to the parameters of the model is performed.

  3. Data Warehouse, DSS and Parallel Technology%Data Warehouse,DSS与并行技术

    Institute of Scientific and Technical Information of China (English)

    张焱

    1997-01-01

    数据仓库(Data Warehouse)和DSS在当前各个领域的决策过程中有着广泛的应用,如何提高其效率和准确度是人们关注的问题.作者着重通过分析Data Warehouse和DSS本身的数据特点以及使用特性,确认了并行技术应用于其中的可行性;并且结合目前并行产品的不同优缺点,讨论了Data Warehouse和DSS实际对并行硬件产品的合理选择与使用.

  4. Quality assessment of digital annotated ECG data from clinical trials by the FDA ECG Warehouse.

    Science.gov (United States)

    Sarapa, Nenad

    2007-09-01

    The FDA mandates that digital electrocardiograms (ECGs) from 'thorough' QTc trials be submitted into the ECG Warehouse in Health Level 7 extended markup language format with annotated onset and offset points of waveforms. The FDA did not disclose the exact Warehouse metrics and minimal acceptable quality standards. The author describes the Warehouse scoring algorithms and metrics used by FDA, points out ways to improve FDA review and suggests Warehouse benefits for pharmaceutical sponsors. The Warehouse ranks individual ECGs according to their score for each quality metric and produces histogram distributions with Warehouse-specific thresholds that identify ECGs of questionable quality. Automatic Warehouse algorithms assess the quality of QT annotation and duration of manual QT measurement by the central ECG laboratory.

  5. Coupling detrended fluctuation analysis for multiple warehouse-out behavioral sequences

    Science.gov (United States)

    Yao, Can-Zhong; Lin, Ji-Nan; Zheng, Xu-Zhou

    2017-01-01

    Interaction patterns among different warehouses could make the warehouse-out behavioral sequences less predictable. We firstly take a coupling detrended fluctuation analysis on the warehouse-out quantity, and find that the multivariate sequences exhibit significant coupling multifractal characteristics regardless of the types of steel products. Secondly, we track the sources of multifractal warehouse-out sequences by shuffling and surrogating original ones, and we find that fat-tail distribution contributes more to multifractal features than the long-term memory, regardless of types of steel products. From perspective of warehouse contribution, some warehouses steadily contribute more to multifractal than other warehouses. Finally, based on multiscale multifractal analysis, we propose Hurst surface structure to investigate coupling multifractal, and show that multiple behavioral sequences exhibit significant coupling multifractal features that emerge and usually be restricted within relatively greater time scale interval.

  6. A framework for designing a healthcare outcome data warehouse.

    Science.gov (United States)

    Parmanto, Bambang; Scotch, Matthew; Ahmad, Sjarif

    2005-09-06

    Many healthcare processes involve a series of patient visits or a series of outcomes. The modeling of outcomes associated with these types of healthcare processes is different from and not as well understood as the modeling of standard industry environments. For this reason, the typical multidimensional data warehouse designs that are frequently seen in other industries are often not a good match for data obtained from healthcare processes. Dimensional modeling is a data warehouse design technique that uses a data structure similar to the easily understood entity-relationship (ER) model but is sophisticated in that it supports high-performance data access. In the context of rehabilitation services, we implemented a slight variation of the dimensional modeling technique to make a data warehouse more appropriate for healthcare. One of the key aspects of designing a healthcare data warehouse is finding the right grain (scope) for different levels of analysis. We propose three levels of grain that enable the analysis of healthcare outcomes from highly summarized reports on episodes of care to fine-grained studies of progress from one treatment visit to the next. These grains allow the database to support multiple levels of analysis, which is imperative for healthcare decision making.

  7. How Can My State Benefit from an Educational Data Warehouse?

    Science.gov (United States)

    Bergner, Terry; Smith, Nancy J.

    2007-01-01

    Imagine if, at the start of the school year, a teacher could have detailed information about the academic history of every student in her or his classroom. This is possible if the teacher can log on to a Web site that provides access to an educational data warehouse. The teacher would see not only several years of state assessment results, but…

  8. Toward a fully de-identified biomedical information warehouse.

    Science.gov (United States)

    Liu, Jianhua; Erdal, Selnur; Silvey, Scott A; Ding, Jing; Riedel, John D; Marsh, Clay B; Kamal, Jyoti

    2009-11-14

    The Information Warehouse at the Ohio State University Medical Center is a comprehensive repository of business, clinical, and research data from various source systems. Data collected here is a valuable resource that facilitates both translational research and personalized healthcare. The use of such data in research is governed by federal privacy regulations with oversight by the Institutional Review Board. In 2006, the Information Warehouse was recognized by the OSU IRB as an "Honest Broker" of clinical data, providing investigators with de-identified or limited datasets under stipulations contained in a signed data use agreement. In order to streamline this process even further, the Information Warehouse is developing a de-identified data warehouse that is suitable for direct user access through a controlled query tool that is aimed to support both research and education activities. In this paper we report our findings on performance evaluation of different de-identification schemes that may be used to ensure regulatory compliance while also facilitating practical database updating and querying. We also discuss how date-shifting in the de-identification process can impact other data elements such as diagnosis and procedure codes and consider a possible solution to those problems.

  9. Warehouse Management System a jeho implementace

    OpenAIRE

    Kovařík, Šimon

    2014-01-01

    This bachelor thesis deals with Warehouse management system and its implementation in certain company. The first theoretical part of this thesis describes WMS in general and its software solutions. The practical part analyzes particular solution KARAT WMS in company Novum, spol. s.r.o. and compares it with theoretical findings from first part.

  10. Risk control for staff planning in e-commerce warehouses

    NARCIS (Netherlands)

    Wruck, Susanne; Vis, Iris F A; Boter, Jaap

    2016-01-01

    Internet sale supply chains often need to fulfil quickly small orders for many customers. The resulting high demand and planning uncertainties pose new challenges for e-commerce warehouse operations. Here, we develop a decision support tool to assist managers in selecting appropriate risk policies

  11. Distributed Heterogeneous Relational Data Warehouse In A Grid Environment

    CERN Document Server

    Iqbal, S; Newman, H B; Bunn, Julian J.; Iqbal, Saima; Newman, Harvey B.

    2003-01-01

    This paper examines how a "Distributed Heterogeneous Relational Data Warehouse" can be integrated in a Grid environment that will provide physicists with efficient access to large and small object collections drawn from databases at multiple sites. This paper investigates the requirements of Grid-enabling such a warehouse, and explores how these requirements may be met by extensions to existing Grid middleware. We present initial results obtained with a working prototype warehouse of this kind using both SQLServer and Oracle9i, where a Grid-enabled web-services interface makes it easier for web-applications to access the distributed contents of the databases securely. Based on the success of the prototype, we proposes a framework for using heterogeneous relational data warehouse through the web-service interface and create a single "Virtual Database System" for users. The ability to transparently access data in this way, as shown in prototype, is likely to be a very powerful facility for HENP and other grid u...

  12. Data-driven warehouse optimization : Deploying skills of order pickers

    NARCIS (Netherlands)

    M. Matusiak (Marek); M.B.M. de Koster (René); J. Saarinen (Jari)

    2015-01-01

    textabstractBatching orders and routing order pickers is a commonly studied problem in many picker-to-parts warehouses. The impact of individual differences in picking skills on performance has received little attention. In this paper, we show that taking into account differences in the skills of in

  13. Warehouse Management System a jeho implementace

    OpenAIRE

    Kovařík, Šimon

    2014-01-01

    This bachelor thesis deals with Warehouse management system and its implementation in certain company. The first theoretical part of this thesis describes WMS in general and its software solutions. The practical part analyzes particular solution KARAT WMS in company Novum, spol. s.r.o. and compares it with theoretical findings from first part.

  14. Data-driven warehouse optimization : Deploying skills of order pickers

    NARCIS (Netherlands)

    M. Matusiak (Marek); M.B.M. de Koster (René); J. Saarinen (Jari)

    2015-01-01

    textabstractBatching orders and routing order pickers is a commonly studied problem in many picker-to-parts warehouses. The impact of individual differences in picking skills on performance has received little attention. In this paper, we show that taking into account differences in the skills of

  15. TRUNCATULIX – a data warehouse for the legume community

    Directory of Open Access Journals (Sweden)

    Runte Kai J

    2009-02-01

    Full Text Available Abstract Background Databases for either sequence, annotation, or microarray experiments data are extremely beneficial to the research community, as they centrally gather information from experiments performed by different scientists. However, data from different sources develop their full capacities only when combined. The idea of a data warehouse directly adresses this problem and solves it by integrating all required data into one single database – hence there are already many data warehouses available to genetics. For the model legume Medicago truncatula, there is currently no such single data warehouse that integrates all freely available gene sequences, the corresponding gene expression data, and annotation information. Thus, we created the data warehouse TRUNCATULIX, an integrative database of Medicago truncatula sequence and expression data. Results The TRUNCATULIX data warehouse integrates five public databases for gene sequences, and gene annotations, as well as a database for microarray expression data covering raw data, normalized datasets, and complete expression profiling experiments. It can be accessed via an AJAX-based web interface using a standard web browser. For the first time, users can now quickly search for specific genes and gene expression data in a huge database based on high-quality annotations. The results can be exported as Excel, HTML, or as csv files for further usage. Conclusion The integration of sequence, annotation, and gene expression data from several Medicago truncatula databases in TRUNCATULIX provides the legume community with access to data and data mining capability not previously available. TRUNCATULIX is freely available at http://www.cebitec.uni-bielefeld.de/truncatulix/.

  16. Data warehouse governance programs in healthcare settings: a literature review and a call to action.

    Science.gov (United States)

    Elliott, Thomas E; Holmes, John H; Davidson, Arthur J; La Chance, Pierre-Andre; Nelson, Andrew F; Steiner, John F

    2013-01-01

    Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis. Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine. While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain.

  17. THE DEVELOPMENT OF THE APPLICATION OF A DATA WAREHOUSE AT PT JKL

    Directory of Open Access Journals (Sweden)

    Choirul Huda

    2012-05-01

    Full Text Available One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.Keywords: Data Warehouse; Inventory; Contract Approval; Inventory; Dashboard

  18. Warehouse multipoint temperature and humidity monitoring system design based on Kingview

    Science.gov (United States)

    Ou, Yanghui; Wang, Xifu; Liu, Jingyun

    2017-04-01

    Storage is the key link of modern logistics. Warehouse environment monitoring is an important part of storage safety management. To meet the storage requirements of different materials, guarantee their quality in the greatest extent, which has great significance. In the warehouse environment monitoring, the most important parameters are air temperature and relative humidity. In this paper, a design of warehouse multipoint temperature and humidity monitoring system based on King view, which realizes the multipoint temperature and humidity data real-time acquisition, monitoring and storage in warehouse by using temperature and humidity sensor. Also, this paper will take the bulk grain warehouse as an example and based on the data collected in real-time monitoring, giving the corresponding expert advice that combined with the corresponding algorithm, providing theoretical guidance to control the temperature and humidity in grain warehouse.

  19. Bulk soybean grain mass temperature in warehouses with isolated vents and vent-exhaust combined systems

    Directory of Open Access Journals (Sweden)

    Eliza Rigoni de Pontes

    Full Text Available ABSTRACT: This study aimed to compare the temperatures in the mass of bulk soybeans ( Glycine max in warehouses with isolated vents and vent-combined exhaustion. A completely randomized design was used, with two treatments and ten repetitions. Treatments consisted of warehouse with curved vents and warehouse with curved + static exhaust vents. Each repetition contained the average of all readings in three days in all cables of the warehouse part under study, totaling 10 repetitions per month. The variable analyzed was the temperature in the grain mass in the lower, middle and upper parts of the warehouse from January to May 2012. The environment temperature and humidity were also registered. Static hoods, along with curved vents on the roof of the warehouse showed a tendency to reduce the temperature of the soybean mass with decrease in environmental temperature and increase in relative environmental humidity.

  20. Configuring simulation models using CAD techniques : a new approach to warehouse design

    OpenAIRE

    Brito, António Ernesto da Silva Carvalho

    2013-01-01

    The research reported in this thesis is related to the development and use of software tools for supporting warehouse design and management. Computer Aided Design and Simulation techniques are used to develop a software system that forms the basis of a Decision Support System for warehouse design. The current position of simulation software is reviewed. It is investigated how appropriate current simulation software is for warehouse modelling. Special attention is given to Vi...

  1. Route Optimization of Stacker in Automatic Warehouse Based on Genetic Algorithm

    OpenAIRE

    Cui Changqing; Wang Yiqiang

    2013-01-01

    Today, automatic warehouse system gradually replaced manual labor, and played an important role in the production work, especially in the cargo handling work. It was important to research the time-consuming and efficiency of stacker in the automated warehouse system. This paper researched the path of stacker in automated warehouse and calculated the operation time of stacker working path according to actual working condition, and then put forward a route optimization method of stacker based o...

  2. An optimisation model for the warehouse design and product assignment and allocation problem

    OpenAIRE

    Geraldes, Carla A. S.; Carvalho, Sameiro; Pereira, Guilherme

    2013-01-01

    Warehouse design and planning is a great challenge in the field of Supply Chain Management. In this paper we discuss an optimisation model aiming to support some warehouse management decisions. In particular a mixed-integer programming model (MILP) is presented to determine product assignment and allocation to the functional areas, as well as the size of each area. Our aim is to capture the trade-offs among the different warehouse costs in order to achieve global optimal design satisfying th...

  3. The planning of order picking in a warehouse by heuristic algorithms

    OpenAIRE

    Uršič, Jakob

    2014-01-01

    Planning of order picking is essential process in every warehouse. In this thesis, we developed a simple warehouse simulator, which allows us to do various searches on path finding for a certain amount of items for one or more robots, using the A* algorithm. Heuristic guidance of search is mainly based on heuristic evaluation. We have implemented five different heuristic estimates, which we tested experimentally on examples with different warehouse configurations and with different numbers of...

  4. Automatic warehouse system for roll paper; Makitori jido soko system

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-04-20

    This system is a full-automatic warehouse system from storing of delivered roll paper to supplying of such paper to a rotary press for a production line of telephone directories. Main specifications: (1) Handling object: roll base paper, (2) Automatic warehouse: 2 stacker crane (1.25t x H15.55m), (3) Storage capacity: 496 stacks, (4) Peripheral facility: receiving facility (table lifter, stopper, slat CV, receiving truck), shipment facility (shipment table, slat CV, stopper), and paper transfer facility (mirror surface/lump peeling unit, preparation unit, AGV). Feature: (1) Automatic paper winding mechanism to a rotary press without any worker by a stacker crane, mirror surface/lump peeling unit, preparation unit, and AGV. (translated by NEDO)

  5. ROLE OF META-MODEL IN ENGINEERING DATA WAREHOUSE

    Institute of Scientific and Technical Information of China (English)

    SHENGuo-hua; HUANGZhi-qiu; WANGChuan-dong

    2004-01-01

    Engineering data are separately organized and their schemas are increasingly complex and variable. Engineering data management systems are needed to be able to manage the unified data and to be both customizable and extensible. The design of the systems is heavily dependent on the flexibility and self-description of the data model. The characteristics of engineering data and their management facts are analyzed. Then engineering data warehouse (EDW) architecture and multi-layer metamodels are presented. Also an approach to manage anduse engineering data by a meta object is proposed. Finally, an application flight test EDW system (FTEDWS) is described and meta-objects to manage engineering data in the data warehouse are used. It shows that adopting a meta-modeling approach provides a support for interchangeability and a sufficiently flexible environment in which the system evolution and the reusability can be handled.

  6. Selection of Structures with Grid Optimization, in Multiagent Data Warehouse

    Science.gov (United States)

    Gorawski, Marcin; Bańkowski, Sławomir; Gorawski, Michał

    The query optimization problem in data base and data warehouse management systems is quite similar. Changes to Joins sequences, projections and selections, usage of indexes, and aggregations are all decided during the analysis of an execution schedule. The main goal of these changes is to decrease the query response time. The optimization operation is often dedicated to a single node. This paper proposes optimization to grid or cluster data warehouses / databases. Tests were conducted in a multi-agent environment, and the optimization focused not only on a single node but on the whole system as well. A new idea is proposed here with multi-criteria optimization that is based on user-given parameters. Depending on query time, result admissible errors, and the level of system usage, task results were obtained along with grid optimization.

  7. An integrated data warehouse system: development, implementation, and early outcomes.

    Science.gov (United States)

    Myers, D L; Burke, K C; Burke, J D; Culp, K S

    2000-03-01

    This paper describes a generic vision of global information flow and the development of an integrated data warehouse system, using clinical data on all patient encounters and administrative data on all operating transactions as part of an integrated health care system. This new integrated data warehouse system has been successfully used for multiple purposes, including patient care, health services research, resource utilization and feasibility studies. During 1999, core analyses included the electronic abstraction, aggregation, and analysis of data on over 400,000 patients. This approach to building a centralized data system comprised of multiple repositories efficiently meets a variety of individual and aggregate information needs, while reducing the need to create duplicate databases.

  8. AN INTEGRATED PRODUCTION, INVENTORY, WAREHOUSE LOCATION AND DISTRIBUTION MODE

    Directory of Open Access Journals (Sweden)

    Lokendra Kumar Devangan

    2016-12-01

    Full Text Available This paper proposes an integrated production and distribution planning optimization model for multiple manufacturing locations, producing multiple products with deterministic demand at multiple locations. There are multiple modes of transport from plants to demand locations and warehouses. This study presents a model which allows decision makers to optimize plant production, transport and warehouse location simultaneously to fulfill the demands at customer locations within a multi-plant, multi-product, and multi-route supply chain system when the locations of the plants are already fixed. The proposed model is solved for sample problems and tested using real data from a cement manufacturing company in India. An analysis of the results suggests that this model can be used for various strategic and tactical production and planning decisions.

  9. Role of Information Technology Infrastructure Library in Data Warehouses

    Directory of Open Access Journals (Sweden)

    Hasan Y. Wahba

    2011-01-01

    Full Text Available Problem statement: The Information Technology Infrastructure Library (ITIL is most widely used de-facto- standard, consists of set of concepts and practices for Information Technology Service Management (ITSM, IT development and IT operations. Approach: Where as a Data Warehouse (DW is a relational database used for the purpose of query and analysis to generate complex reports for enterprises. Results: This study introduces ITIL and DW, along with DW concepts and challenges and will review how to map ITIL with DW. Conclusion: This study identified that ITIL will play vital role when and where used in Data warehouses, specifically in the form of availablilty management; IT service continuity management; capacity management; financial management; and service level management.

  10. Building A Health Care Data Warehouse for Cancer Diseases

    Directory of Open Access Journals (Sweden)

    Osama E.Sheta

    2012-11-01

    Full Text Available This paper presents architecture for health care data warehouse specific to cancer diseases which could be used by executive managers, doctors, physicians and other health professionals to support the healthcare process. The data today existing in multi sources with different formats makes it necessary to have some techniques for data integration. Executive managers need access to Information so that decision makers can react in real time to changing needs. Information is one of the most factors to an organization success that executive managers or physicians would need to base their decisions on, during decisionmaking. A health care data warehouse is therefore necessary to integrate the different data sources into a central data repository and analysis this data.

  11. Lightweight Sandwich Panel in Cold Stores and Refrigerated Warehouses

    OpenAIRE

    Chidom, Charles

    2013-01-01

    The use of sandwich panels has gained considerable recognition in the construction industry and more use of this composite structure is ever increasing. This study highlights and familiarizes the use of lightweight sandwich panel in refrigerated warehouses and cold storage facility and construction and the challenges such construction faces in warm climates considering the effects of thermal load. The study was commissioned by HAMK Sheet Metal Center, the steel research and development ce...

  12. Ultrawideband MIMO Channel Measurements and Modeling in a Warehouse Environment

    OpenAIRE

    Sangodoyin, Seun; He, Ruisi; Molisch, Andreas; Kristem, Vinod; Tufvesson, Fredrik

    2015-01-01

    This paper presents a detailed description of a propagation channel measurement campaign performed in a warehouse environment and provide a comprehensive channel model for this environment. Using a vector network analyzer (VNA), we explored both Line-of-sight(LOS) and Non-Line-of-sight (NLOS) scenarios over a 2-8 GHz frequency range. We extracted both small-scale and large-scale channel parameters such as distance-dependent pathloss exponent (n), frequency-dependent pathloss exponent (k), sha...

  13. Data Warehouse Design from HL7 Clinical Document Architecture Schema.

    Science.gov (United States)

    Pecoraro, Fabrizio; Luzi, Daniela; Ricci, Fabrizio L

    2015-01-01

    This paper proposes a semi-automatic approach to extract clinical information structured in a HL7 Clinical Document Architecture (CDA) and transform it in a data warehouse dimensional model schema. It is based on a conceptual framework published in a previous work that maps the dimensional model primitives with CDA elements. Its feasibility is demonstrated providing a case study based on the analysis of vital signs gathered during laboratory tests.

  14. Innovative applications of an enterprise-wide information warehouse.

    Science.gov (United States)

    Kamal, Jyoti; Silvey, Scott A; Silvey, Scott Andrew; Buskirk, Jason; Ostrander, Michael; Erdal, Selnur; Dhaval, Rakesh; Ding, Jing; Borlawsky, Tara; Smaltz, Detlev H; Smaltz, Detlev Herb; Payne, Philip R O; Payne, Philip Richard Orrin

    2008-11-06

    The Information Warehouse at The Ohio State University Medical Center is a comprehensive effort integrating data from over 70 sources throughout the enterprise. The IW serves a broad diversity of customers in all mission areas of the medical center, from clinical operations and administration to education, to research. This comprehensiveness has facilitated an innovative application of cross-disciplinary technologies and methodologies to problem domains beyond the roles traditionally envisioned for data warehousing.

  15. Operational management system for warehouse logistics of metal trading companies

    OpenAIRE

    Khayrullin Rustam Zinnatullovich

    2014-01-01

    Logistics is an effective tool in business management. Metal trading business is a part of metal promotion chain from producer to consumer. It's designed to serve as a link connecting the interests of steel producers and end users. We should account for the specifics warehousing trading. The specificity of warehouse metal trading consists primarily in the fact that the purchase is made in large lots, and the sale - in medium and small parties. Loading and unloading of cars and trucks is produ...

  16. Deteksi Outlier Transaksi Menggunakan Visualisasi-Olap Pada Data Warehouse Perguruan Tinggi Swasta

    Directory of Open Access Journals (Sweden)

    Gusti Ngurah Mega Nata

    2016-07-01

    Full Text Available Mendeteksi outlier pada data warehouse merupakan hal penting. Data pada data warehouse sudah diagregasi dan memiliki model multidimensional. Agregasi pada data warehouse dilakukan karena data warehouse digunakan untuk menganalisis data secara cepat pada top level manajemen. Sedangkan, model data multidimensional digunakan untuk melihat data dari berbagai dimensi objek bisnis. Jadi, Mendeteksi outlier pada data warehouse membutuhkan teknik yang dapat melihat outlier pada data yang sudah diagregasi dan dapat melihat dari berbagai dimensi objek bisnis. Mendeteksi outlier pada data warehouse akan menjadi tantangan baru.        Di lain hal, Visualisasi On-line Analytic process (OLAP merupakan tugas penting dalam menyajikan informasi trend (report pada data warehouse dalam bentuk visualisasi data. Pada penelitian ini, visualisasi OLAP digunakan untuk deteksi outlier transaksi. Maka, dalam penelitian ini melakukan analisis untuk mendeteksi outlier menggunakan visualisasi-OLAP. Operasi OLAP yang digunakan yaitu operasi drill-down. Jenis visualisasi yang akan digunakan yaitu visualisasi satu dimensi, dua dimensi dan multi dimensi menggunakan tool weave desktop. Pembangunan data warehouse dilakukan secara button-up. Studi kasus dilakukan pada perguruan tinggi swasta. Kasus yang diselesaikan yaitu mendeteksi outlier transaki pembayaran mahasiswa pada setiap semester. Deteksi outlier pada visualisasi data menggunakan satu tabel dimensional lebih mudah dianalisis dari pada deteksi outlier pada visualisasi data menggunakan dua atau multi tabel dimensional. Dengan kata lain semakin banyak tabel dimensi yang terlibat semakin sulit analisis deteksi outlier yang dilakukan. Kata kunci — Deteksi Outlier,  Visualisasi OLAP, Data warehouse

  17. A Survey of User-Centric Data Warehouses: From Personalization to Recommendation

    CERN Document Server

    Ahmed, Eya Ben; Gargouri, Faïez; 10.5121/ijdms

    2011-01-01

    Providing a customized support for the OLAP brings tremendous challenges to the OLAP technology. Standing at the crossroads of the preferences and the data warehouse, two emerging trends are pointed out; namely: (i) the personalization and (ii) the recommendation. Although the panoply of the proposed approaches, the user-centric data warehouse community issues have not been addressed yet. In this paper we draw an overview of several user centric data warehouse proposals. We also discuss the two promising concepts in this issue, namely, the personalization and the recommendation of the data warehouses. We compare the current approaches among each others with respect to some criteria.

  18. Route Optimization of Stacker in Automatic Warehouse Based on Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Cui Changqing

    2013-11-01

    Full Text Available Today, automatic warehouse system gradually replaced manual labor, and played an important role in the production work, especially in the cargo handling work. It was important to research the time-consuming and efficiency of stacker in the automated warehouse system. This paper researched the path of stacker in automated warehouse and calculated the operation time of stacker working path according to actual working condition, and then put forward a route optimization method of stacker based on genetic algorithm, finally simulated this algorithm by using MATLAB. The simulation results showed that this algorithm could shorten the way of stacker, and increase the working efficiency of the warehouse.

  19. Two warehouse inventory model for deteriorating item with exponential demand rate and permissible delay in payment

    Directory of Open Access Journals (Sweden)

    Kaliraman Naresh Kumar

    2017-01-01

    Full Text Available A two warehouse inventory model for deteriorating items is considered with exponential demand rate and permissible delay in payment. Shortage is not allowed and deterioration rate is constant. In the model, one warehouse is rented and the other is owned. The rented warehouse is provided with better facility for the stock than the owned warehouse, but is charged more. The objective of this model is to find the best replenishment policies for minimizing the total appropriate inventory cost. A numerical illustration and sensitivity analysis is provided.

  20. [Peranesthesic Anaphylactic Shocks: Contribution of a Clinical Data Warehouse].

    Science.gov (United States)

    Osmont, Marie-Noëlle; Campillo-Gimenez, Boris; Metayer, Lucie; Jantzem, Hélène; Rochefort-Morel, Cécile; Cuggia, Marc; Polard, Elisabeth

    2015-10-16

    To evaluate the performance of the collection of cases of anaphylactic shock during anesthesia in the Regional Pharmacovigilance Center of Rennes and the contribution of a query in the biomedical data warehouse of the French University Hospital of Rennes in 2009. Different sources were evaluated: the French pharmacovigilance database (including spontaneous reports and reports from a query in the database of the programme de médicalisation des systèmes d'information [PMSI]), records of patients seen in allergo-anesthesia (source considered as comprehensive as possible) and a query in the data warehouse. Analysis of allergo-anesthesia records detected all cases identified by other methods, as well as two other cases (nine cases in total). The query in the data warehouse enabled detection of seven cases out of the nine. Querying full-text reports and structured data extracted from the hospital information system improves the detection of anaphylaxis during anesthesia and facilitates access to data. © 2015 Société Française de Pharmacologie et de Thérapeutique.

  1. THE SUCCESSION OF DATA WAREHOUSE USING OBJECT ORIENTED APPROACH

    Directory of Open Access Journals (Sweden)

    DR. PUSHPA SURI

    2011-02-01

    Full Text Available This paper describes techniques for designing both front & back end of a data warehouse in such a way that companies can continue to progress their warehouse and query tools as their business changes,customer demands changes, instead of continuously having to estructure and rewrite their existing tools. Object –Oriented approach are driving the current development of ODBMS that will handle complex objects, inheritance and other features that enable direct implementation technology that is being extended to combine data management capabilities with application of logical rules to provide more refined information to management. Object-oriented approach is used in different areas i.e Software Engg, Database Management System and Latest Approach is used in Data warehouse. Object-Oriented envelopment involves more than learning a program, it includes capability for development. A purely Object –Oriented tool like Java, Smalltalk , or the object –oriented use of C++ requires that problem domains be conceptualized in terms of the paradigm inherent in object technology. Most research in Object-oriented programming (OOP including object –oriented database Management systems (OODBMS, is concerned with supporting users which are not served well by more conventional technology. Our research has been from a different point of view – our primary motivating factor is toshow how existing applications can be enhanced using object –oriented Technology.

  2. Research on Collaborative Mechanism of data Warehouse in Sharing Platform

    Directory of Open Access Journals (Sweden)

    Quanhong Sun

    2013-09-01

    Full Text Available With the development of distributed computing technology, there remain some important problems of collaborative control in distributed multi-user data sharing: heterogeneous environment, data consistency and concurrent operation. To solve the sharing issues in drilling engineering, this paper introduces a method of realizing information sharing by combining the advantages of multi-agent collaborative working mechanism and data warehouse technology. Firstly, the structure of multi-agent collaborative working mechanism is put forward based on distributed data warehouse, in which the underlying data layer adopts the distributed data warehouse to organize the information, and the model of that is set up by dimensional modeling technology. Then the information sharing platform and multi-user access controlling method are analyzed, and the collaborative model is put forward. Finally through the multi-agent interaction, the management and sharing of all kinds of information in DDW can be realized. So the application of multi-agent and DDW technology can maximize the value of drilling information and play an important role in improving data sharing degree.

  3. Data warehouses -- main principles, concepts and methods, tools, applications, design and building of data warehouse solution in real company

    OpenAIRE

    Mašek, Martin

    2007-01-01

    The main goal of this thesis is to summarize and introduce general theoretical concepts of Data Warehousing by using the systems approach. The thesis defines Data Warehousing and its main areas and delimitates Data Warehousing area in terms of higher-level area called Business Intelligence. It also describes the history of Data Warehousing & Business Intelligence, focuses on key principals of Data Warehouse building and explains the practical applications of this solution. The aim of the prac...

  4. Implementation of Lean Warehouse to Minimize Wastes in Finished Goods Warehouse of PT. Charoen Pokphand Indonesia Semarang

    Directory of Open Access Journals (Sweden)

    Nia Budi Puspitasari

    2016-06-01

    been through the process of pallets packing, and then transporting the pallets contained bags of feed at finished goods warehouses and the process of unloading food from the finished goods warehouse to the distribution truck. With the implementation of the lean warehouse, we can know whether the activities are value added or not, to be identified later which type of waste happened. Opinions of stakeholders regarding the waste that must be eliminated first need to be determined by questionnaires. Based on the results of the questionnaires, three top wastes are selected to be identified the cause by using fishbone diagram. They can be repaired by using the implementation of 5S, namely Seiri, Seiton, Seiso, Seiketsu, and Shitsuke. Defect waste can be minimized by selecting pallet, putting sack correctly, forklift line clearance, applying working procedures, and creating cleaning schedule. Next, overprocessing waste is minimized by removing unnecessary items, putting based on the date of manufacture, and manufacture of feed plan. Inventory waste is minimized by removing junks, putting feed based on the expired date, and cleaning the barn.

  5. The design and development of a social science data warehouse: A case study of the Human Resources Development Data Warehouse Project of the Human Sciences Research Council, South Africa

    OpenAIRE

    Andrew Paterson

    2003-01-01

    This article focuses on the development of a data warehouse to facilitate government decision-making on national human resources development and to provide public access to information. A set of key challenges was confronted in the development of the data warehouse including: the conceptualisation, design, implementation and management of the data warehouse system. The underlying questions that informed the process were, first: "In what ways will a data warehouse for a social science based re...

  6. Dynamic features analysis for the large-scale logistics system warehouse-out operation

    Science.gov (United States)

    Yao, Can-Zhong; Lin, Ji-Nan; Liu, Xiao-Feng; Zheng, Xu-Zhou

    2014-12-01

    In the paper, we research on the behavior dynamics for the large-scale logistics system warehouse-out operation systematically. First, we discover that steel products warehouse-out of different warehouses in a large-scale logistics system can be characterized by burst, and the warehouse-out inter-event time follows the power-law distribution with exponents close to α=2.5, which differs from the two classical models proposed by Barabasi (2005) and Vazquez (2005) respectively. By analyzing the warehouse-out inter-event time distribution of the products in one certain large-scale logistics system, we further discuss burst features and mechanisms of logistics system. Additionally, we find that in population behaviors, burst features can be explained by the priority that rooted in holidays and interior task scheduling. However, warehouse-out behaviors of active individuals do not show any features of burst. Further, we find that warehouse-out quantity of steel products follows Fractal Brownian motion with the HURST exponent higher than 0.5 by means of R/S, which infers that the quantity of products in a logistics system is not only guided by prices in the present market, but also related closely to the previous quantity of warehouse-out. Based on V statistic, we compare memory length of different products in warehouses. Finally, we apply complex networks visibility graphs for further validation of fractal features in a logistics system and find that almost every visibility graph exhibits small-world and scale-free features. Both R/S and complex networks visibility graphs reinforce that the warehouse-out quantity of products in a logistics system is not a random walk process, but contains intrinsic regularities and long-term correlation between present and previous warehouse-out quantity.

  7. 31 CFR 592.404 - Importation into or release from a bonded warehouse or foreign trade zone.

    Science.gov (United States)

    2010-07-01

    ... bonded warehouse or foreign trade zone. 592.404 Section 592.404 Money and Finance: Treasury Regulations... warehouse or foreign trade zone. The requirements of the Kimberley Process Certification Scheme apply to all... withdrawal from, a bonded warehouse or a foreign trade zone of the United States....

  8. 31 CFR 539.406 - Importation into and release from a bonded warehouse or foreign trade zone.

    Science.gov (United States)

    2010-07-01

    ... bonded warehouse or foreign trade zone. 539.406 Section 539.406 Money and Finance: Treasury Regulations... release from a bonded warehouse or foreign trade zone. The prohibitions in §§ 539.201 and 539.202 apply to importation into a bonded warehouse or a foreign trade zone of the United States....

  9. 7 CFR 29.75b - Display of baled flue-cured tobacco on auction warehouse floors in designated markets.

    Science.gov (United States)

    2010-01-01

    ... warehouse floors in designated markets. 29.75b Section 29.75b Agriculture Regulations of the Department of... Inspection § 29.75b Display of baled flue-cured tobacco on auction warehouse floors in designated markets. Each lot of baled flue-cured tobacco displayed for sale on auction warehouse floors shall have...

  10. 7 CFR 29.75a - Display of burley tobacco on auction warehouse floors in designated markets.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Display of burley tobacco on auction warehouse floors... § 29.75a Display of burley tobacco on auction warehouse floors in designated markets. (a)(1) Each lot of burley tobacco displayed for sale on auction warehouse floors shall have a minimum space of...

  11. User Profile-Driven Data Warehouse Summary for Adaptive OLAP Queries

    Directory of Open Access Journals (Sweden)

    Rym Khemiri

    2013-01-01

    Full Text Available Data warehousing is an essential element of decision support systems. It aims at enabling the userknowledge to make better and faster daily business decisions. To improve this decision support system andto give more and more relevant information to the user, the need to integrate user's profiles into the datawarehouse process becomes crucial. In this paper, we propose to exploit users' preferences as a basis foradapting OLAP (On-Line Analytical Processing queries to the user. For this, we present a user profiledrivendata warehouse approach that allows dening user's profile composed by his/her identifier and a setof his/her preferences. Our approach is based on a general data warehouse architecture and an adaptiveOLAP analysis system. Our main idea consists in creating a data warehouse materialized view for eachuser with respect to his/her profile. This task is performed off-line when the user defines his/her profile forthe first time. Then, when a user query is submitted to the data warehouse, the system deals with his/herdata warehouse materialized view instead of the whole data warehouse. In other words, the datawarehouse view summaries the data warehouse content for the user by taking into account his/herpreferences. Moreover, we are implementing our data warehouse personalization approach under the SQLServer 2005 DBMS (DataBase Management System.

  12. 27 CFR 24.126 - Change in proprietorship involving a bonded wine warehouse.

    Science.gov (United States)

    2010-04-01

    ... involving a bonded wine warehouse. 24.126 Section 24.126 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Establishment and Operations Changes Subsequent to Original Establishment § 24.126 Change in proprietorship involving a bonded wine warehouse...

  13. Protocol for a national blood transfusion data warehouse from donor to recipient

    NARCIS (Netherlands)

    van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W

    2016-01-01

    INTRODUCTION: Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion

  14. Routing orderpickers in a warehouse : a comparison between optimal and heuristic solutions

    NARCIS (Netherlands)

    De Koster, R; Van der Poort, E

    In this paper the problem of finding efficient orderpicking routes is studied for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses, where orderpicking trucks can pick up and deposit pallets at the head of every

  15. Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions

    NARCIS (Netherlands)

    M.B.M. de Koster (René); E. Poort, van der (Edo)

    1998-01-01

    textabstractThe problem of finding efficient orderpicking routes is studied for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses, where orderpicking trucks can pick up and deposit pallets at the head of every

  16. 27 CFR 28.27 - Entry of wine into customs bonded warehouses.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Entry of wine into customs... TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS EXPORTATION OF ALCOHOL Miscellaneous Provisions Customs Bonded Warehouses § 28.27 Entry of wine into customs bonded warehouses. Upon filing of the application...

  17. 27 CFR 28.244a - Shipment to a customs bonded warehouse.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Shipment to a customs... Export Consignment § 28.244a Shipment to a customs bonded warehouse. Distilled spirits and wine withdrawn for shipment to a customs bonded warehouse shall be consigned in care of the customs officer in...

  18. Disseny i implementació del data warehouse d'una cadena de roba

    OpenAIRE

    Soler Vila, Marta

    2016-01-01

    Aquest treball consisteix en el disseny i implementació del data warehouse per a una cadena de roba. Este trabajo consiste en el diseño e implementación del data warehouse para una cadena de ropa. Bachelor thesis for the Computer Science program.

  19. Disseny i implementació del data warehouse per a una cadena de botigues de roba

    OpenAIRE

    Vives Beltrán, Miguel Ángel

    2016-01-01

    Aquest treball té com a objectiu el disseny i la implementació del data warehouse d'una cadena de botigues de roba. Este trabajo tiene como objetivo el diseño y la implementación del data warehouse de una cadena de tiendas de ropa. Bachelor thesis for the Computer Science program on Relational Databases.

  20. Ocular irritation from product of pesticide degradation among workers in a seed warehouse.

    Science.gov (United States)

    Matsukawa, Takehisa; Yokoyama, Kazuhito; Itoh, Hiroaki

    2015-01-01

    Four workers at a seed supply warehouse in Chiba Prefecture, Japan, complained of ocular irritation on the job. Pesticide-coated seeds were stored in the warehouse but no significant amount of pesticide was detected in the air inside the warehouse. To identify the cause of the ocular irritation and to determine an appropriate solution to the problem, the authors used thermal desorption gas chromatography-mass spectrometry to analyze the profiles of volatile organic compounds (VOCs) in the air of the two warehouses at the site-warehouse A, where the four workers experienced ocular irritation, and warehouse B, where no workers experienced ocular irritation. Comparing the profiles of VOCs in these warehouses indicated that n-butyl isocyanate, a hydrolyzed product of the fungicide benomyl, was the cause of the workers' ocular irritation. n-Butyl isocyanate is known to be a contact irritant and if the benomyl-coated seeds were not properly dried before storage in the warehouse n-butyl isocyanate would have been produced. The results of the study suggest that more attention should be paid both to the pesticide itself and to the products of pesticide degradation. In this study, n-butyl isocyanate was identified as a product of pesticide degradation and a causative chemical affecting occupational health.

  1. 27 CFR 44.190 - Return of shipment to a manufacturer or customs warehouse proprietor.

    Science.gov (United States)

    2010-04-01

    ... manufacturer or customs warehouse proprietor. 44.190 Section 44.190 Alcohol, Tobacco Products and Firearms... of Shipments of Tobacco Products and Cigarette Papers and Tubes by Manufacturers and Export Warehouse Proprietors Consignment of Shipment § 44.190 Return of shipment to a manufacturer or customs...

  2. 75 FR 63526 - In the Matter of: Camera Platforms International, Inc., Castleguard Energy, Inc., CD Warehouse...

    Science.gov (United States)

    2010-10-15

    ... From the Federal Register Online via the Government Publishing Office SECURITIES AND EXCHANGE COMMISSION In the Matter of: Camera Platforms International, Inc., Castleguard Energy, Inc., CD Warehouse... information concerning the securities of CD Warehouse, Inc. because it has not filed any periodic...

  3. 78 FR 65300 - Notice of Availability (NOA) for General Purpose Warehouse and Information Technology Center...

    Science.gov (United States)

    2013-10-31

    ...: Federal Docket Management System Office, 4800 Mark Center Drive, East Tower, 2nd floor, Suite 02G09... of the Secretary Notice of Availability (NOA) for General Purpose Warehouse and Information... Purpose Warehouse and Information Technology Center at Defense Distribution Depot San Joaquin,...

  4. Routing orderpickers in a warehouse : a comparison between optimal and heuristic solutions

    NARCIS (Netherlands)

    De Koster, R; Van der Poort, E

    1998-01-01

    In this paper the problem of finding efficient orderpicking routes is studied for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses, where orderpicking trucks can pick up and deposit pallets at the head of every

  5. Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions

    NARCIS (Netherlands)

    M.B.M. de Koster (René); E. Poort, van der (Edo)

    1998-01-01

    textabstractThe problem of finding efficient orderpicking routes is studied for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses, where orderpicking trucks can pick up and deposit pallets at the head of every a

  6. Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

    Directory of Open Access Journals (Sweden)

    Eren Özceylan

    2017-01-01

    Full Text Available It is a known fact that basic health care services cannot reach the majority of the population due to poor geographical accessibility. Unless quantitative location-allocation models and geographic information systems (GIS are used, the final decision may be made on pragmatic considerations which can result far from optimal. In this paper, current and possible (or potential new locations of pharmacy warehouses in Gaziantep are investigated to provide optimal distribution of hospitals and pharmacies. To do so, first of all, geographic information of 10 current and 10 potential pharmacy warehouses, 231 pharmacies and 29 hospitals are gathered using GIS. Second, a set covering mathematical model is handled to determine coverage capability of current and potential pharmacy warehouses and minimize the number of warehouses to be opened. Finally, P-center and P-median mathematical models are applied to open potential warehouses and to assign pharmacies & hospitals to the opened warehouses so that the total distance and the demand’s longest distance to the source are minimized. Developed integer programming (IP models and GIS software are compared with on a case study. Computational experiments prove that our approach can find new potential pharmacy warehouses which cover wider areas than current warehouses to service pharmacies and hospitals in the city.

  7. DESAIN DATA WAREHOUSE PADA SISTEM INFORMASI SUMBER DAYA MANUSIA SUB-SISTEM REKRUTMEN

    Directory of Open Access Journals (Sweden)

    Eka Miranda

    2012-05-01

    and (2 data warehouse design derived from Teh Ying Wah et al. This research results in a data warehouse design and its implementation to analyze transactional data from the related activities of recruitment and employee management to support decision-making.

  8. Protocol for a national blood transfusion data warehouse from donor to recipient

    NARCIS (Netherlands)

    van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W

    2016-01-01

    INTRODUCTION: Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion rec

  9. 48 CFR 47.303-12 - Ex dock, pier, or warehouse, port of importation.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Ex dock, pier, or... ACQUISITION REGULATION CONTRACT MANAGEMENT TRANSPORTATION Transportation in Supply Contracts 47.303-12 Ex dock, pier, or warehouse, port of importation. (a) Explanation of delivery term. Ex dock, pier, or warehouse...

  10. A Relevance-Extended Multi-dimensional Model for a Data Warehouse Contextualized with Documents

    DEFF Research Database (Denmark)

    Perez, Juan Manuel; Pedersen, Torben Bach; Berlanga, Rafael

    2005-01-01

    Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context associated with these data can be found in other internal and external sources of documents. In this paper we propose...... to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, contextualized warehouses keep a historical record of the facts and their contexts as described by the documents. In this framework, the user selects an analysis context which...... with the documents that explain their circumstances. In this work we extend an existing multi-dimensional data model and algebra for representing the R-cubes....

  11. Development of a clinical data warehouse from an intensive care clinical information system.

    Science.gov (United States)

    de Mul, Marleen; Alons, Peter; van der Velde, Peter; Konings, Ilse; Bakker, Jan; Hazelzet, Jan

    2012-01-01

    There are relatively few institutions that have developed clinical data warehouses, containing patient data from the point of care. Because of the various care practices, data types and definitions, and the perceived incompleteness of clinical information systems, the development of a clinical data warehouse is a challenge. In order to deal with managerial and clinical information needs, as well as educational and research aims that are important in the setting of a university hospital, Erasmus Medical Center Rotterdam, The Netherlands, developed a data warehouse incrementally. In this paper we report on the in-house development of an integral part of the data warehouse specifically for the intensive care units (ICU-DWH). It was modeled using Atos Origin Metadata Frame method. The paper describes the methodology, the development process and the content of the ICU-DWH, and discusses the need for (clinical) data warehouses in intensive care. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  12. Combinatorial optimization of order picking and export choosing for bypass type automatic stereoscopic warehouse

    Directory of Open Access Journals (Sweden)

    Jinye WANG

    Full Text Available The automatic stereo warehouse system is a storage system with multi-storey warehouse, by which the automation access and integrated automation management are realized in the computer's direct control and management. The emerging, bypass automatic stereo warehouse has gained more and more application in rapid access. The stacker's working time directly affects the efficiency of the warehouse. To improve the bypass automatic warehouse efficiency and analyze the stacker route, an integrated optimization model considering the export selection and the path picking is established. The model aims to the picking task cycle and develops the population's generating method of genetic algorithm, then solves the optimization model. The last section in this stage is the initial point of the next optimization stage, using the nearest neighbor method to find the optimal export location. Simulation and practical application show that the model and the algorithm are feasible and effective.

  13. Modelling of Data Warehouse on Food Distribution Center and Reserves in The Ministry of Agriculture

    Directory of Open Access Journals (Sweden)

    Edi Purnomo Putra S.Kom

    2015-12-01

    Full Text Available The purpose of this study is to perform databases planning that supports Prototype Modeling Data Warehouse in the Ministry of Agriculture, especially in the Distribution Center and Reserves in the field of distribution, reserve and price. With the prototype of Data Warehouse, the process of data analysis and decision-making process by the top management will be easier and more accurate. Researchs method used was data collection and design method. Data warehouses design method was done by using Kimballs nine steps methodology. Database design was done by using the ERD (Entity Relationship Diagram and activity diagram. The data used for the analysis was obtained from an interview with the head of Distribution, Reserve and Food Price. The results obtained through the analysis incorporated into the Data Warehouse Prototype have been designed to support decision-making. To conclude, Prototype Data Warehouse facilitates the analysis of data, the searching of history data and decision-making by the top management.

  14. MitoMiner: a data warehouse for mitochondrial proteomics data

    OpenAIRE

    Smith, Anthony C.; Blackshaw, James A.; Robinson, Alan J

    2011-01-01

    MitoMiner (http://mitominer.mrc-mbu.cam.ac.uk/) is a data warehouse for the storage and analysis of mitochondrial proteomics data gathered from publications of mass spectrometry and green fluorescent protein tagging studies. In MitoMiner, these data are integrated with data from UniProt, Gene Ontology, Online Mendelian Inheritance in Man, HomoloGene, Kyoto Encyclopaedia of Genes and Genomes and PubMed. The latest release of MitoMiner stores proteomics data sets from 46 studies covering 11 dif...

  15. A Framework for a Clinical Reasoning Knowledge Warehouse

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus; Boye, Niels

    2004-01-01

    In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a Clinical Reasoning Knowledge Warehouse that combines theories and models from Artificial Intelligence...... is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion...

  16. Event-Entity-Relationship Modeling in Data Warehouse Environments

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    We use the event-entity-relationship model (EVER) to illustrate the use of entity-based modeling languages for conceptual schema design in data warehouse environments. EVER is a general-purpose information modeling language that supports the specification of both general schema structures and multi......-dimensional schemes that are customized to serve specific information needs. EVER is based on an event concept that is very well suited for multi-dimensional modeling because measurement data often represent events in multi-dimensional databases...

  17. Use of a data warehouse to monitor simvastatin tablet splitting.

    Science.gov (United States)

    Coblio, Nicholas A; Mowrey, Kim A; Loos, Dana; Ford, V; Haley, James A

    2003-01-01

    A data warehouse was used to examine the LDL levels for patients who were switched from whole to half tablets of simvastatin. The LDL levels were available both pre and post conversion. 7,321 patients were switched and the LDL levels for these patients were tracked. 1,408 patients had a slight increase in LDL (less than 15% above baseline). Those patients whose LDL increased by greater than 15%, and was above 120 mg/dl, were switched back to whole tablets.

  18. A wrapper&mediator prototype for web data warehouses

    OpenAIRE

    Giaudrone, Verónica; Guerra, Marcelo; Vaccaro, Marcelo; Motz, Regina; Marotta, Adriana

    2005-01-01

    There is a lot of information published on the Web that can be useful for decision-making. The work reported in this paper focuses on how to extract and integrate this information in order to construct a Data Warehouse that makes it available. The manual process of extracting and integrating information is expensive and complex. That is the reason why we suggest the development of a tool, based on Wrappers and Mediators, which allows the extraction of information from the Web and integrate...

  19. Part Transportation Improvement in Warehouse of an Automotive Factory

    Science.gov (United States)

    Choojan, Tiwapom; Chutima, Parames

    2016-05-01

    This research is focus on the problems cause the assembly line stop in a Japanese automotive manufacturer in Thailand. The problem arose from not being able to supply parts to the assembly line in time and supplying wrong parts to the assembly line. Methods to resolve these problems involved the followings: 1) design new tag labels, 2) improve operations method and 3) redesign the parts storage layout and supply routes. The result showed that the time for transferring parts from the warehouse to the preparing area and the overlapped routes were reduced. Moreover, the supply accuracy from the preparation area to the assembly line was improved.

  20. Case study: a data warehouse for an academic medical center.

    Science.gov (United States)

    Einbinder, J S; Scully, K W; Pates, R D; Schubart, J R; Reynolds, R E

    2001-01-01

    The clinical data repository (CDR) is a frequently updated relational data warehouse that provides users with direct access to detailed, flexible, and rapid retrospective views of clinical, administrative, and financial patient data for the University of Virginia Health System. This article presents a case study of the CDR, detailing its five-year history and focusing on the unique role of data warehousing in an academic medical center. Specifically, the CDR must support multiple missions, including research and education, in addition to administration and management. Users include not only analysts and administrators but clinicians, researchers, and students.

  1. Data delivery workflow in an academic information warehouse.

    Science.gov (United States)

    Erdal, Selnur; Rogers, Patrick; Santangelo, Jennifer; Buskirk, Jason; Ostrander, Michael; Liu, Jianhua; Kamal, Jyoti

    2008-11-06

    The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) collects data from many systems throughout the OSUMC on load cycles ranging from real-time to on-demand. The data then is prepared for delivery to diversity of customers across the clinical, education, and research sectors of the OSUMC. Some of the data collected at the IW include patient management, billing and finance, procedures, medications, lab results, clinical reports, physician order entry, outcomes, demographics, and so on. This data is made available to the users of the IW in variety of formats and methods.

  2. Roogle: an information retrieval engine for clinical data warehouse.

    Science.gov (United States)

    Cuggia, Marc; Garcelon, Nicolas; Campillo-Gimenez, Boris; Bernicot, Thomas; Laurent, Jean-François; Garin, Etienne; Happe, André; Duvauferrier, Régis

    2011-01-01

    High amount of relevant information is contained in reports stored in the electronic patient records and associated metadata. R-oogle is a project aiming at developing information retrieval engines adapted to these reports and designed for clinicians. The system consists in a data warehouse (full-text reports and structured data) imported from two different hospital information systems. Information retrieval is performed using metadata-based semantic and full-text search methods (as Google). Applications may be biomarkers identification in a translational approach, search of specific cases, and constitution of cohorts, professional practice evaluation, and quality control assessment.

  3. 面向Web与基于Web的数据仓库%Web- Enabled Data Warehouse and Web-Based Data Warehouse

    Institute of Scientific and Technical Information of China (English)

    王孝成

    2002-01-01

    针对Web与数据仓库的结合应用,即面向Web和基于web,简要介绍了数据仓库的基本体系,分析了一种5层结构的系统,以说明面向Web应用的数据仓库的特点.根据数据仓库的发展趋势,提出了基于Web(Web-based)的数据仓库概念,并将点击流(Clickstream)数据仓库作为基于Web的数据仓库的一个特例,讨论了其体系结构.%Web signifies its influence in the evolution of data warehouses with two aspects: Web - enabled and Web -based, each addressing a purpose and a level of system complexity. In this paper an architectural template of datawarehouse is reviewed. A five - level architecture of Web - enabled data warehouse is analyzed to identify its charac-teristics. Web- based data warehouse, for the first time, is termed to reflect the new trends. Clickstream data ware-house, as a specific Web - based data warehouse, is studied with a focus on its infrastructure. This paper highlightsthe roles both Web - related data warehouse can play, and comparisonis also made between them.

  4. Análisis de rendimiento académico estudiantil usando data warehouse y redes neuronales Analysis of students' academic performance using data warehouse and neural networks

    Directory of Open Access Journals (Sweden)

    Carolina Zambrano Matamala

    2011-12-01

    Full Text Available Cada día las organizaciones tienen más información porque sus sistemas producen una gran cantidad de operaciones diarias que se almacenan en bases de datos transaccionales. Con el fin de analizar esta información histórica, una alternativa interesante es implementar un Data Warehouse. Por otro lado, los Data Warehouse no son capaces de realizar un análisis predictivo por sí mismos, pero las técnicas de inteligencia de máquinas se pueden utilizar para clasificar, agrupar y predecir en base a información histórica con el fin de mejorar la calidad del análisis. En este trabajo se describe una arquitectura de Data Warehouse con el fin de realizar un análisis del desempeño académico de los estudiantes. El Data Warehouse es utilizado como entrada de una arquitectura de red neuronal con tal de analizar la información histórica y de tendencia en el tiempo. Los resultados muestran la viabilidad de utilizar un Data Warehouse para el análisis de rendimiento académico y la posibilidad de predecir el número de asignaturas aprobadas por los estudiantes usando solamente su propia información histórica.Every day organizations have more information because their systems produce a large amount of daily operations which are stored in transactional databases. In order to analyze this historical information, an interesting alternative is to implement a Data Warehouse. In the other hand, Data Warehouses are not able to perform predictive analysis for themselves, but machine learning techniques can be used to classify, grouping and predict historical information in order to improve the quality of analysis. This paper depicts architecture of a Data Warehouse useful to perform an analysis of students' academic performance. The Data Warehouse is used as input of a Neural Network in order to analyze historical information and forecast. The results show the viability of using Data Warehouse for academic performance analysis and the feasibility of

  5. INTEGRATING XML DATA INTO MULTIPLE ROLAP DATA WAREHOUSE SCHEMAS

    Directory of Open Access Journals (Sweden)

    Soumya Sen

    2012-02-01

    Full Text Available Data Warehouse is one of the most common ways for analyzing large data for decision based system. Thesedata are often sourced from online transactional system. The transactional data are represented indifferent formats. XML is one of the worldwide standards to represent data in web based system. Numbersof organizations use XML for e-commerce and internet based applications. Integration of XML and datawarehouse for the innovation of business logic and to enhance decision making has therefore emerged as ademanding area of research interest. This paper focuses on integrating XML data based on multiple relatedXML schemas, to an equivalent data warehouse schemas based on relational online analytical processing(ROLAP. This work bears a high relevance towards standardizing of the ETL phase (Extraction,Transformation, and Loading of the OLAP projects. The novelty of the work is that more than one datawarehouse schemas could be identified from a single related XML schema and each of them could becategorized as star schema or snowflake schema. Moreover if the individual schemas are found to berelated according to the analysis, fact constellation could be identified. A new data structure, SchemaGraph has been proposed in the process.

  6. MitoMiner: a data warehouse for mitochondrial proteomics data.

    Science.gov (United States)

    Smith, Anthony C; Blackshaw, James A; Robinson, Alan J

    2012-01-01

    MitoMiner (http://mitominer.mrc-mbu.cam.ac.uk/) is a data warehouse for the storage and analysis of mitochondrial proteomics data gathered from publications of mass spectrometry and green fluorescent protein tagging studies. In MitoMiner, these data are integrated with data from UniProt, Gene Ontology, Online Mendelian Inheritance in Man, HomoloGene, Kyoto Encyclopaedia of Genes and Genomes and PubMed. The latest release of MitoMiner stores proteomics data sets from 46 studies covering 11 different species from eumetazoa, viridiplantae, fungi and protista. MitoMiner is implemented by using the open source InterMine data warehouse system, which provides a user interface allowing users to upload data for analysis, personal accounts to store queries and results and enables queries of any data in the data model. MitoMiner also provides lists of proteins for use in analyses, including the new MitoMiner mitochondrial proteome reference sets that specify proteins with substantial experimental evidence for mitochondrial localization. As further mitochondrial proteomics data sets from normal and diseased tissue are published, MitoMiner can be used to characterize the variability of the mitochondrial proteome between tissues and investigate how changes in the proteome may contribute to mitochondrial dysfunction and mitochondrial-associated diseases such as cancer, neurodegenerative diseases, obesity, diabetes, heart failure and the ageing process.

  7. Geminivirus data warehouse: a database enriched with machine learning approaches.

    Science.gov (United States)

    Silva, Jose Cleydson F; Carvalho, Thales F M; Basso, Marcos F; Deguchi, Michihito; Pereira, Welison A; Sobrinho, Roberto R; Vidigal, Pedro M P; Brustolini, Otávio J B; Silva, Fabyano F; Dal-Bianco, Maximiller; Fontes, Renildes L F; Santos, Anésia A; Zerbini, Francisco Murilo; Cerqueira, Fabio R; Fontes, Elizabeth P B

    2017-05-05

    The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic losses worldwide. Geminiviruses are divided into nine genera, according to their insect vector, host range, genome organization, and phylogeny reconstruction. Using rolling-circle amplification approaches along with high-throughput sequencing technologies, thousands of full-length geminivirus and satellite genome sequences were amplified and have become available in public databases. As a consequence, many important challenges have emerged, namely, how to classify, store, and analyze massive datasets as well as how to extract information or new knowledge. Data mining approaches, mainly supported by machine learning (ML) techniques, are a natural means for high-throughput data analysis in the context of genomics, transcriptomics, proteomics, and metabolomics. Here, we describe the development of a data warehouse enriched with ML approaches, designated geminivirus.org. We implemented search modules, bioinformatics tools, and ML methods to retrieve high precision information, demarcate species, and create classifiers for genera and open reading frames (ORFs) of geminivirus genomes. The use of data mining techniques such as ETL (Extract, Transform, Load) to feed our database, as well as algorithms based on machine learning for knowledge extraction, allowed us to obtain a database with quality data and suitable tools for bioinformatics analysis. The Geminivirus Data Warehouse (geminivirus.org) offers a simple and user-friendly environment for information retrieval and knowledge discovery related to geminiviruses.

  8. Efficient data management tools for the heterogeneous big data warehouse

    Science.gov (United States)

    Alekseev, A. A.; Osipova, V. V.; Ivanov, M. A.; Klimentov, A.; Grigorieva, N. V.; Nalamwar, H. S.

    2016-09-01

    The traditional RDBMS has been consistent for the normalized data structures. RDBMS served well for decades, but the technology is not optimal for data processing and analysis in data intensive fields like social networks, oil-gas industry, experiments at the Large Hadron Collider, etc. Several challenges have been raised recently on the scalability of data warehouse like workload against the transactional schema, in particular for the analysis of archived data or the aggregation of data for summary and accounting purposes. The paper evaluates new database technologies like HBase, Cassandra, and MongoDB commonly referred as NoSQL databases for handling messy, varied and large amount of data. The evaluation depends upon the performance, throughput and scalability of the above technologies for several scientific and industrial use-cases. This paper outlines the technologies and architectures needed for processing Big Data, as well as the description of the back-end application that implements data migration from RDBMS to NoSQL data warehouse, NoSQL database organization and how it could be useful for further data analytics.

  9. Characteristics desired in clinical data warehouse for biomedical research.

    Science.gov (United States)

    Shin, Soo-Yong; Kim, Woo Sung; Lee, Jae-Ho

    2014-04-01

    Due to the unique characteristics of clinical data, clinical data warehouses (CDWs) have not been successful so far. Specifically, the use of CDWs for biomedical research has been relatively unsuccessful thus far. The characteristics necessary for the successful implementation and operation of a CDW for biomedical research have not clearly defined yet. THREE EXAMPLES OF CDWS WERE REVIEWED: a multipurpose CDW in a hospital, a CDW for independent multi-institutional research, and a CDW for research use in an institution. After reviewing the three CDW examples, we propose some key characteristics needed in a CDW for biomedical research. A CDW for research should include an honest broker system and an Institutional Review Board approval interface to comply with governmental regulations. It should also include a simple query interface, an anonymized data review tool, and a data extraction tool. Also, it should be a biomedical research platform for data repository use as well as data analysis. The proposed characteristics desired in a CDW may have limited transfer value to organizations in other countries. However, these analysis results are still valid in Korea, and we have developed clinical research data warehouse based on these desiderata.

  10. Integrating feedback from a clinical data warehouse into practice organisation.

    Science.gov (United States)

    Grant, Andrew; Moshyk, Andriy; Diab, Hassan; Caron, Philippe; de Lorenzi, Fabien; Bisson, Guy; Menard, Line; Lefebvre, Richard; Gauthier, Patricia; Grondin, Richard; Desautels, Michel

    2006-01-01

    A patient oriented hospital information system (ARIANE) was inaugurated at the Sherbrooke University hospital (CHUS) in 1990 and a clinical data warehouse (CDW) completed 2004. The CDW is updated from ARIANE every 24h and includes ICD discharge diagnosis data, visit DRG and SNOMED encoding. The data is encrypted on storage. Data is accessed according to institutional approval. To facilitate data access two levels of tool have been made accessible using a web-browser. The first level consists of a 'dashboard' that has a defined design and enables a set of pre-determined dynamic queries about a patient population. This level can be operated with minimal training. The second level uses a convivial database query tool, which requires some prior training. Two prototype dashboards have been designed and evaluated for acceptability. The first for the emergency department enables analysis of patient occupancy. The second for the biochemistry department enables quality assurance evaluation. In most cases worldwide the clinical data warehouse is only beginning to be exploited, often impeded by lack of connection between different enterprise databases. Our CDW is expected rapidly to create a culture change so that clinical practice can be continuously evaluated using compiled data readily available from the electronic health record/hospital information system.

  11. 知识仓库及其在企业管理中的应用%Knowledge Warehouse and Its Application in Enterprise Management

    Institute of Scientific and Technical Information of China (English)

    邱均平; 陈敬全

    2003-01-01

    Building a knowledge warehouse at the enterprise level is the precondition and foundation for the enterprise to put knowledge management into effect and engage in knowledge business. After describing the concept, background and development trend of knowledge warehouse, this paper discusses the composition of knowledge warehouse and the basic re-quirement for constructing the enterprise knowledge warehouse. The main application of knowledge warehouse in enterprise management is also discussed.

  12. Perancangan Data Warehouse Nilai Mahasiswa Dengan Kimball Nine-Step Methodology

    Directory of Open Access Journals (Sweden)

    Ganda Wijaya

    2017-04-01

    Abstract Student grades has many components that can be analyzed to support decision making. Based on this, the authors conducted a study of student grades. The study was conducted on a database that is in the Bureau of Academic and Student Affairs Administration Bina Sarana Informatika (BAAK BSI. The focus of this research is "How to model a data warehouse that can meet the management needs of the data value of students as supporters of evaluation, planning and decision making?". Data warehouse grades students need to be made in order to obtain the information, reports, and can perform multi-dimensional analysis, which in turn can assist management in making policy. Development of the system is done by using System Development Life Cycle (SDLC with Waterfall approach. While the design of the data warehouse using a nine-step methodology kimball. Results obtained in the form of a star schema and data warehouse value. Data warehouses can provide a summary of information that is fast, accurate and continuous so as to assist management in making policies for the future. In general, the benefits of this research are as additional reference in building a data warehouse using a nine-step methodology kimball.   Keywords: Data Warehouse, Kimball Nine-Step Methodology.

  13. Data Cleaning In Data Warehouse: A Survey of Data Pre-processing Techniques and Tools

    Directory of Open Access Journals (Sweden)

    Anosh Fatima

    2017-03-01

    Full Text Available A Data Warehouse is a computer system designed for storing and analyzing an organization's historical data from day-to-day operations in Online Transaction Processing System (OLTP. Usually, an organization summarizes and copies information from its operational systems to the data warehouse on a regular schedule and management performs complex queries and analysis on the information without slowing down the operational systems. Data need to be pre-processed to improve quality of data, before storing into data warehouse. This survey paper presents data cleaning problems and the approaches in use currently for preprocessing. To determine which technique of preprocessing is best in what scenario to improve the performance of Data Warehouse is main goal of this paper. Many techniques have been analyzed for data cleansing, using certain evaluation attributes and tested on different kind of data sets. Data quality tools such as YALE, ALTERYX, and WEKA have been used for conclusive results to ready the data in data warehouse and ensure that only cleaned data populates the warehouse, thus enhancing usability of the warehouse. Results of paper can be useful in many future activities like cleansing, standardizing, correction, matching and transformation. This research can help in data auditing and pattern detection in the data.

  14. PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER

    Directory of Open Access Journals (Sweden)

    Harco Leslie Hendric Spits Warnars

    2015-01-01

    Full Text Available As a Computer scientist, a computer science students should have understanding about database theory as a concept of data maintenance. Database will be needed in every single human real life computer implementation such as information systems, information technology, internet, games, artificial intelligence, robot and so on. Inevitably, the right data handling and managament will produce excellent technology implementation. Data warehouse as one of the specialization subject which is offered in computer science study program final semester, provide challenge for computer science students.A survey was conducted on 18 students of early year of computer science study program at Surya university and giving hypothesis that for those students who ever heard of a data warehouse would be interested to learn data warehouse and on other hand, students who had never heard of the data warehouse will not be interested to learn data warehouse. Therefore, it is important that delivery of the Data warehouse subject material should be understood by lecturers, so that students can well understoodwith the data warehouse.

  15. Subcritical calculation of the nuclear material warehouse;Calculo de subcriticidad del almacen del material nuclear

    Energy Technology Data Exchange (ETDEWEB)

    Garcia M, T.; Mazon R, R., E-mail: teodoro.garcia@inin.gob.m [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico)

    2009-07-01

    In this work the subcritical calculation of the nuclear material warehouse of the Reactor TRIGA Mark III labyrinth in the Mexico Nuclear Center is presented. During the adaptation of the nuclear warehouse (vault I), the fuel was temporarily changed to the warehouse (vault II) and it was also carried out the subcritical calculation for this temporary arrangement. The code used for the calculation of the effective multiplication factor, it was the Monte Carlo N-Particle Extended code known as MCNPX, developed by the National Laboratory of Los Alamos, for the particles transport. (Author)

  16. Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases.

    Science.gov (United States)

    Chelico, John D; Wilcox, Adam; Wajngurt, David

    2007-10-11

    As the clinical data warehouse of the New York Presbyterian Hospital has evolved innovative methods of integrating new data sources and providing more effective and efficient data reporting and analysis need to be explored. We designed and implemented a new clinical data warehouse architecture to handle the integration of disparate clinical databases in the institution. By examining the way downstream systems are populated and streamlining the way data is stored we create a virtual clinical data warehouse that is adaptable to future needs of the organization.

  17. Data Warehouse Requirements Analysis Framework: Business-Object Based Approach

    Directory of Open Access Journals (Sweden)

    Anirban Sarkar

    2012-01-01

    Full Text Available Detailed requirements analysis plays a key role towards the design of successful Data Warehouse (DW system. The requirements analysis specifications are used as the prime input for the construction of conceptual level multidimensional data model. This paper has proposed a Business Object based requirements analysis framework for DW system which is supported with abstraction mechanism and reuse capability. It also facilitate the stepwise mapping of requirements descriptions into high level design components of graph semantic based conceptual level object oriented multidimensional data model. The proposed framework starts with the identification of the analytical requirements using business process driven approach and finally refine the requirements in further detail to map into the conceptual level DW design model using either Demand-driven of Mixed-driven approach for DW requirements analysi

  18. MouseMine: a new data warehouse for MGI.

    Science.gov (United States)

    Motenko, H; Neuhauser, S B; O'Keefe, M; Richardson, J E

    2015-08-01

    MouseMine (www.mousemine.org) is a new data warehouse for accessing mouse data from Mouse Genome Informatics (MGI). Based on the InterMine software framework, MouseMine supports powerful query, reporting, and analysis capabilities, the ability to save and combine results from different queries, easy integration into larger workflows, and a comprehensive Web Services layer. Through MouseMine, users can access a significant portion of MGI data in new and useful ways. Importantly, MouseMine is also a member of a growing community of online data resources based on InterMine, including those established by other model organism databases. Adopting common interfaces and collaborating on data representation standards are critical to fostering cross-species data analysis. This paper presents a general introduction to MouseMine, presents examples of its use, and discusses the potential for further integration into the MGI interface.

  19. Salvaging Information Engineering Techniques in the Data Warehouse Environment

    Directory of Open Access Journals (Sweden)

    Anthony L. Politano

    2001-01-01

    Full Text Available The art of Information Engineering (IE continuously evolves and, by today's standards, is considered an integral function in most any organization. Strategic planning teams weave methodologies, which are integrated to process information, the goal being to sort, store, and retrieve useful data.The following article will describe three techniques that can utilize existing information engineering in a data warehouse project. First, the entity relationship diagram and its use in a three phase data model approach. Second, the functional decomposition diagram and its use in segmenting and defining key performance indicators and dimensions. Third, creating a modified CRUD (Create, Read, Update and Delete matrix that deals with logical entities and current systems.

  20. Presence survival spores of Bacillus thuringiensis varieties in grain warehouse

    Directory of Open Access Journals (Sweden)

    Sánchez-Yáñez Juan Manuel

    2016-08-01

    Full Text Available Genus Bacillus thuringiensis (Bt synthesized spores and crystals toxic to pest-insects in agriculture. Bt is comospolitan then possible to isolate some subspecies or varieties from warehouse. The aims of study were: i to isolate Bt varieties from grain at werehouse ii to evaluate Bt toxicity on Spodoptera frugiperda and Shit-ophilus zeamaisese iii to analyze Bt spores persistence in Zea mays grains at werehouse compared to same Bt on grains exposed to sun radiation. Results showed that at werehouse were recovered more than one variety of Bt spores. According to each isolate Bt1 o Bt2 were toxic to S. frugiperda or S. zeamaisese. One those Bt belong to var morrisoni. At werehouse these spores on Z. mays grains surviving more time, while the same spores exposed to boicide sun radiation they died.

  1. Web data modeling for integration in data warehouses

    CERN Document Server

    Miniaoui, Sami; Boussaïd, Omar

    2001-01-01

    In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensional analysis or using data mining algorithms. Furthermore, a data warehouse can require external data. The web is a prevalent data source in this context, but the data broadcasted on this medium are very heterogeneous. We propose in this paper a UML conceptual model for a complex object representing a superclass of any useful data source (databases, plain texts, HTML and XML documents, images, sounds, video clips...). The translation into a logical model is achieved with XML, which helps integrating all these diverse, heterogeneous data into a unified format, and whose schema definition provides first-rate metadata in our data warehousing context. Moreover, we benefit from XML's flexibility, extensibility and from the richness of the semi-structured data model, but we are still able to later map XML documents into a database if more...

  2. Analyzing Mappings and Properties in Data Warehouse Integration

    Directory of Open Access Journals (Sweden)

    Maurizio Vincini

    2017-09-01

    Full Text Available The information inside the Data Warehouse (DW is used to take strategic decisions inside the organization that is why data quality plays a crucial role in guaranteeing the correctness of the decisions. Data quality also becomes a major issue when integrating information from two or more heterogeneous DWs. In the present paper, we perform extensive analysis of a mapping-based DW integration methodology and of its properties. In particular, we will prove that the proposed methodology guarantees coherency, meanwhile in certain cases it is able to maintain soundness and consistency. Moreover, intra-schema homogeneity is discussed and analysed as a necessary condition for summarizability and for optimization by materializing views of dependent queries.

  3. A Complex Data Warehouse for Personalized, Anticipative Medicine

    CERN Document Server

    Darmont, Jérôme

    2008-01-01

    With the growing use of new technologies, healthcare is nowadays undergoing significant changes. Information-based medicine has to exploit medical decision-support systems and requires the analysis of various, heterogeneous data, such as patient records, medical images, biological analysis results, etc. In this paper, we present the design of the complex data warehouse relating to high-level athletes. It is original in two ways. First, it is aimed at storing complex medical data. Second, it is designed to allow innovative and quite different kinds of analyses to support: (1) personalized and anticipative medicine (in opposition to curative medicine) for well-identified patients; (2) broad-band statistical studies over a given population of patients. Furthermore, the system includes data relating to several medical fields. It is also designed to be evolutionary to take into account future advances in medical research.

  4. Development of National Health Data Warehouse for Data Mining

    Directory of Open Access Journals (Sweden)

    Shahidul Islam Khan

    2015-07-01

    Full Text Available Health informatics is currently one of the top focuses of computer science researchers. Availability of timely and accurate data is essential for medical decision making. Health care organizations face a common problem with the large amount of data they have in numerous systems. Researchers, health care providers and patients will not be able to utilize the knowledge stored in different repositories unless amalgamate the information from disparate sources is done. This problem can be solved by Data warehousing. Data warehousing techniques share a common set of tasks, include requirements analysis, data design, architectural design, implementation and deployment. Developing health data warehouse is complex and time consuming but is also essential to deliver quality health services. This paper depicts prospects and complexities of health data warehousing and mining and illustrate a data-warehousing model suitable for integrating data from different health care sources to discover effective knowledge.

  5. Flow shop scheduling algorithm to optimize warehouse activities

    Directory of Open Access Journals (Sweden)

    P. Centobelli

    2016-01-01

    Full Text Available Successful flow-shop scheduling outlines a more rapid and efficient process of order fulfilment in warehouse activities. Indeed the way and the speed of order processing and, in particular, the operations concerning materials handling between the upper stocking area and a lower forward picking one must be optimized. The two activities, drops and pickings, have considerable impact on important performance parameters for Supply Chain wholesaler companies. In this paper, a new flow shop scheduling algorithm is formulated in order to process a greater number of orders by replacing the FIFO logic for the drops activities of a wholesaler company on a daily basis. The System Dynamics modelling and simulation have been used to simulate the actual scenario and the output solutions. Finally, a t-Student test validates the modelled algorithm, granting that it can be used for all wholesalers based on drop and picking activities.

  6. An Adaptive Approach to Schema Classification for Data Warehouse Modeling

    Institute of Scientific and Technical Information of China (English)

    Hong-Ding Wang; Yun-Hai Tong; Shao-Hua Tan; Shi-Wei Tang; Dong-Qing Yang; Guo-Hui Sun

    2007-01-01

    Data warehouse (DW) modeling is a complicated task, involving both knowledge of business processes and familiarity with operational information systems structure and behavior. Existing DW modeling techniques suffer from the following major drawbacks -data-driven approach requires high levels of expertise and neglects the requirements of end users, while demand-driven approach lacks enterprise-wide vision and is regardless of existing models of underlying operational systems. In order to make up for those shortcomings, a method of classification of schema elements for DW modeling is proposed in this paper. We first put forward the vector space models for subjects and schema elements, then present an adaptive approach with self-tuning theory to construct context vectors of subjects, and finally classify the source schema elements into different subjects of the DW automatically. Benefited from the result of the schema elements classification, designers can model and construct a DW more easily.

  7. Mining association rule efficiently based on data warehouse

    Institute of Scientific and Technical Information of China (English)

    陈晓红; 赖邦传; 罗铤

    2003-01-01

    The conventional complete association rule set was replaced by the least association rule set in data warehouse association rule mining process. The least association rule set should comply with two requirements: 1) it should be the minimal and the simplest association rule set; 2) its predictive power should in no way be weaker than that of the complete association rule set so that the precision of the association rule set analysis can be guaranteed.By adopting the least association rule set, the pruning of weak rules can be effectively carried out so as to greatly reduce the number of frequent itemset, and therefore improve the mining efficiency. Finally, based on the classical Apriori algorithm, the upward closure property of weak rules is utilized to develop a corresponding efficient algorithm.

  8. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses

    Science.gov (United States)

    Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan

    2014-01-01

    With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose. PMID:24892048

  9. Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses

    Directory of Open Access Journals (Sweden)

    Tansel Dokeroglu

    2014-01-01

    Full Text Available With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose.

  10. The Technology of Using a Data Warehouse to Support Decision-Making in Health Care

    Directory of Open Access Journals (Sweden)

    Osama E.Sheta

    2013-07-01

    Full Text Available This paper describes the technology of data warehouse in healthcare decision-making and tools for supportof these technologies, which is used to cancer diseases. The healthcare executive managers and doctorsneeds information about and insight into the existing health data, so as to make decision more efficientlywithout interrupting the daily work of an On-Line Transaction Processing (OLTP system. This is acomplex problem during the healthcare decision-making process. To solve this problem, the building ahealthcare data warehouse seems to be efficient. First in this paper we explain the concepts of the datawarehouse, On-Line Analysis Processing (OLAP. Changing the data in the data warehouse into amultidimensional data cube is then shown. Finally,an application example is given to illustrate the use ofthe healthcare data warehouse specific to cancer diseases developed in this study. The executive managersand doctors can view data from more than one perspective with reduced query time, thus making decisionsfaster and more comprehensive.

  11. Building a Data Warehouse for National Social Security Fund of the Republic of Tunisia

    CERN Document Server

    Gouider, Mohamed Salah; 10.5121/ijdms.2010.2207

    2010-01-01

    The amounts of data available to decision makers are increasingly important, given the network availability, low cost storage and diversity of applications. To maximize the potential of these data within the National Social Security Fund (NSSF) in Tunisia, we have built a data warehouse as a multidimensional database, cleaned, homogenized, historicized and consolidated. We used Oracle Warehouse Builder to extract, transform and load the source data into the Data Warehouse, by applying the KDD process. We have implemented the Data Warehouse as an Oracle OLAP. The knowledge extraction has been performed using the Oracle Discoverer tool. This allowed users to take maximum advantage of knowledge as a regular report or as ad hoc queries. We started by implementing the main topic for this public institution, accounting for the movements of insured persons. The great success that has followed the completion of this work has encouraged the NSSF to complete the achievement of other topics of interest within the NSSF. ...

  12. Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2011-06-01

    Full Text Available Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result is a data warehouse featuring business intelligence applications to display information of historical data in tables, graphs, pivot tables, and dashboards and has several points of view for the management. This research concludes that a data warehouse which combines multiple database transactions with business intelligence application can help executives to understand the reports in order to accelerate decision-making processes. 

  13. A Multi-Agent Framework for Data Extraction,Transformation and Loading in Data Warehouse

    Directory of Open Access Journals (Sweden)

    Ramzan Talib

    2016-11-01

    Full Text Available The rapid growth in size of data sets poses chal-lenge to extract and analyze information in timely manner for better prediction and decision making. Data warehouse is the solution for strategic decision making. Data warehouse serves as a repository to store historical and current data. Extraction, Transformation and Loading (ETL process gather data from different sources and integrate it into data warehouse. This paper proposes a multi-agent framework that enhance the efficiency of ETL process. Agents perform specific task assigned to them. The identification of errors at different stages of ETL process become easy. This was difficult and time consuming in traditional ETL process. Multi-agent framework identify data sources, extract, integrate, transform, and load data into data warehouse. A monitoring agent remains active during this process and generate alerts if there is issue at any stage.

  14. Description Model of Warehouse Architecture for Clinical Test at the Molecular Immunology Centre

    Directory of Open Access Journals (Sweden)

    Anthony Rafael Sotolongo León

    2012-05-01

    Full Text Available Accurate and detailed description of the architecture of computer systems is very important to achieve success in their development. As informatic solutions, data warehouses and software support decision-making in institutions that need to implement a detailed description of the architecture. Ralph Kimball proposes the aspects to be considered of the description and explains how it is done. There are specific models used to describe the architecture such as Kruchten 4 +1 views of meta-model or the Common Warehouse Metamodel (CWM however these models do not meet the need of the description that requires a data warehouse that integrates information from clinical trials of the Molecular Immunology Centre (CIM. In this paper we propose a model for describing the data warehouse architecture that fits the needs of the Molecular Immunology Center following the Kimball framework and using as UML 2.0 modeling language.

  15. Data warehouse for detection of occupational diseases in OHS data.

    Science.gov (United States)

    Godderis, L; Mylle, G; Coene, M; Verbeek, C; Viaene, B; Bulterys, S; Schouteden, M

    2015-11-01

    Occupational health and safety (OHS) services collect a wide range of data during health surveillance. To build a 'data warehouse' to make OHS data available for research and to investigate sector-specific health problems. Medical data were extracted, transformed and loaded into the data warehouse. After validation, data on lifestyle, categorized medication use, ICD-9-CM encoded sickness absences and health complaints, collected between 2010 and 2014, were analysed with logistic regression to compare proportions between employment sectors, taking into account age, gender, body mass index (BMI) and year of examination. The data set comprised 585000 employees. Average age and employment seniority were 39 ± 12 and 8 ± 9 years, respectively. BMI was 26 ± 5 kg/m(2). Health complaints, medication use and sickness absence significantly increased with BMI and age. The proportion of employees with health problems was highest in health care (64%), government (61%) and manufacturing (60%) and lowest in the service sector. In all sectors, 10% of workers reported locomotor health problems, apart from the service sector (8%) with similar results for medication consumption. Neuropsychological drugs were more frequently used by health care workers (8%). The transport sector contained the highest proportion of cardiological medication users (12%). Finally, 30-59% of employees reported at least one sickness absence episode. Sickness absence due to locomotor issues was highest in manufacturing (11%) and health care (10%), followed by government (9%) and construction (9%). Significant differences in indices of workers' health were observed between sectors. This information is now being used in the implementation of a sector-oriented health surveillance programme. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  16. Benchmarking distributed data warehouse solutions for storing genomic variant information

    Science.gov (United States)

    Wiewiórka, Marek S.; Wysakowicz, Dawid P.; Okoniewski, Michał J.

    2017-01-01

    Abstract Genomic-based personalized medicine encompasses storing, analysing and interpreting genomic variants as its central issues. At a time when thousands of patientss sequenced exomes and genomes are becoming available, there is a growing need for efficient database storage and querying. The answer could be the application of modern distributed storage systems and query engines. However, the application of large genomic variant databases to this problem has not been sufficiently far explored so far in the literature. To investigate the effectiveness of modern columnar storage [column-oriented Database Management System (DBMS)] and query engines, we have developed a prototypic genomic variant data warehouse, populated with large generated content of genomic variants and phenotypic data. Next, we have benchmarked performance of a number of combinations of distributed storages and query engines on a set of SQL queries that address biological questions essential for both research and medical applications. In addition, a non-distributed, analytical database (MonetDB) has been used as a baseline. Comparison of query execution times confirms that distributed data warehousing solutions outperform classic relational DBMSs. Moreover, pre-aggregation and further denormalization of data, which reduce the number of distributed join operations, significantly improve query performance by several orders of magnitude. Most of distributed back-ends offer a good performance for complex analytical queries, while the Optimized Row Columnar (ORC) format paired with Presto and Parquet with Spark 2 query engines provide, on average, the lowest execution times. Apache Kudu on the other hand, is the only solution that guarantees a sub-second performance for simple genome range queries returning a small subset of data, where low-latency response is expected, while still offering decent performance for running analytical queries. In summary, research and clinical applications that require

  17. Three Tier level Data Warehouse Architecture For Ghanaian Petroleum Industry

    Directory of Open Access Journals (Sweden)

    JerryYao Deku

    2012-11-01

    Full Text Available The data warehouse (DW is a modern proven technique of handling and managing diversity in data sources, format and structure. Recent advances in database technologies are leading to the proliferation of different kinds of information design with independent supporting hardware and software. This technology was developed therefore to integrate heterogeneous information sources for analysis purposes. Information sources are progressively becoming autonomous and they change their content rapidly due to perpetual transactions (data changes and may change their structure due to continual users' requirements evolving (schema changes. Handling correctly all type of these changes however is a real challenge. Thus, strategic decision making is an ongoing process and part of human life. Businesses all over the world are faced with challenging decision making which is the very livelihood to their very existence. There has been intensive research in the field of databases including the grandfather of data warehousing Inmon which they offered tremendous insight into how the power of computing can be harnessed in strategic decision making. There achievement in the petroleum industry has been highlighted and written about by Nimmagadda and his fellow professionals. However how this can be implemented in Africa is remain to be solved. In this paper we investigated the various data capturing systems which they currently in use at the Ghana National Petroleum Cooperation (GNPC – a state agency responsible for the overall management and supervision of the hydrocarbon endowment of the sub-region and recommending a tree tier level petroleum data warehouse architecture for cutting- edge decision making on petroleum resources.

  18. Implementation of Advanced Warehouses in a Hospital Environment - Case study

    Science.gov (United States)

    Costa, J.; Sameiro Carvalho, M.; Nobre, A.

    2015-05-01

    In Portugal, there is an increase of costs in the healthcare sector due to several factors such as the aging of the population, the increased demand for health care services and the increasing investment in new technologies. Thus, there is a need to reduce costs, by presenting the effective and efficient management of logistics supply systems with enormous potential to achieve savings in health care organizations without compromising the quality of the provided service, which is a critical factor, in this type of sector. In this research project the implementation of Advanced Warehouses has been studied, in the Hospital de Braga patient care units, based in a mix of replenishment systems approaches: the par level system, the two bin system and the consignment model. The logistics supply process is supported by information technology (IT), allowing a proactive replacement of products, based on the hospital services consumption records. The case study was developed in two patient care units, in order to study the impact of the operation of the three replenishment systems. Results showed that an important inventory holding costs reduction can be achieved in the patient care unit warehouses while increasing the service level and increasing control of incoming and stored materials with less human resources. The main conclusion of this work illustrates the possibility of operating multiple replenishment models, according to the types of materials that healthcare organizations deal with, so that they are able to provide quality health care services at a reduced cost and economically sustainable. The adoption of adequate IT has been shown critical for the success of the project.

  19. Vision based Object Recognition of E-Puck Mobile Robot for Warehouse Application

    OpenAIRE

    Mehmet S. Guzel; John Erwin; Wan Nurshazwani Wan Zakaria

    2015-01-01

    At present, most warehouses still require human services for unloading of goods. Unloading of goods requires a continuous system to ensure the quality of work productivity. Therefore the need of autonomous robot system in warehouse is needed to improve the quality of work. Thus, a localization and recognition algorithm is developed and implemented on the E-puck robot. The task involves the recognition of desired object based on their colour (red and blue) and locating the desired object to th...

  20. Structuring Business Metadata in Data Warehouse Systems for Effective Business Support

    OpenAIRE

    Sarda, N L

    2001-01-01

    Large organizations today are being served by different types of data processing and informations systems, ranging from the operational (OLTP) systems, data warehouse systems, to data mining and business intelligence applications. It is important to create an integrated repository of what these systems contain and do in order to use them collectively and effectively. The repository contains metadata of source systems, data warehouse, and also the business metadata. Decision support and busine...

  1. Efficient Location of Distribution Centres and Warehouses in the Territory of a Region

    Directory of Open Access Journals (Sweden)

    Pavel Vladimirovich Popov

    2017-09-01

    Full Text Available The article is devoted to the creation of efficient regional logistic infrastructure that has currently a special relevance. The additional task of this problem is a warehouse network formation. The efficient location of warehouses is one of the priority objectives for cross-border regions as it allows them to benefit from membership in a global supply chain, promotes the creation of additional jobs and, finally, leads to the growth of Gross Regional Product (GRP. The authors offer an approach to determine the location of distribution centres and warehouses in the territory of the regions of the Russian Federation. This approach allows solving the problem of the efficient location of warehouse network in a region taking into account its key indicators of socioeconomic development. The implementation of the approach identified the indicators that have a significant impact on a choice of the location of warehouses of a region. Methodological framework of the conducted research includes the methods of ABC and cluster analyses. That provides the identification of the cities and municipal districts of a region, in the territory of which it is expedient to locate warehouses. The developed approach was tested on the example of the Volgograd region. The solution of the problem of warehouse network in this region belongs to the priority one, considering its geographical position and industrial capacity. The analysis of indicator values for the period of 2010–2014 by means of the methods of classical and modern ABC analysis as well as the two-stage cluster analysis allowed the territorial binding of the warehouse network in the Volgograd region. Further, the research showed that when splitting the cities and municipal districts of the region into clusters, the greatest influence is made by such indicators as investments into fixed capital, goods turnover of the motor transport and transportation of goods by the motor transport.

  2. Ant Colony System for a Fuzzy Adjacent Multiple-Level Warehouse Layout Problem

    Institute of Scientific and Technical Information of China (English)

    ZHANG Qiang; YU Ying-zi; LAI K K

    2006-01-01

    A warehouse layout problem where the warehouse has more than one level and both the distance from the cell to the receive/exit bay and demand of item types are fuzzy variables is proposed. The problem is to find a layout with the minimum transportation cost subject to adjacency and other constraints. A fuzzy expected value model is given and an ant colony system is designed to solve the problem. Computational results indicate the efficiency and effectiveness of the method.

  3. COMPUTER-AIDED WAREHOUSE MANAGEMENT AS AN ELEMENT OF LOGISTICS SYSTEM IN ENTERPRISES

    OpenAIRE

    Anna Brzozowska; Norbert Gruenwald

    2011-01-01

    Nowadays, increasing market share and gaining competitive edge plays an important role. This fact forces enterprises to choose adequate strategies of operation and make investments in development activities, including warehouse management, which is an intrinsic element of enterprise activities. It should be emphasized that the existence of any system of warehousing, equipment in warehouses and their structure in any enterprise does not bring the expected and positive effects unless it is rati...

  4. THE APPLICATION OF RFID IN WAREHOUSE PROCESS: CASE STUDY OF CONSUMER PRODUCT MANUFACTURER IN THAILAND

    Directory of Open Access Journals (Sweden)

    Natanaree Sooksaksun

    2014-12-01

    Full Text Available Background: This warehouse has three main problems: poor accuracy of inventory location, long cycle time of receiving process and non-real time empty storage location. Therefore, the objective of this research is to improve the process in the warehouse by applying radio frequency identification (RFID technology. Methods: There are four steps in this research. First of all, the current of the receiving process and the picking process are studied. Second is to give the guideline for RFID application. Third is to implement of RFID system in this warehouse. The last one is to compare the result of the current process and the proposed process. Results and conclusions:  The passive ultra high frequency (UHF RFID is selected for used in this warehouse. The RFID readers are attached on forklift trucks, the warehouse entrance and loading dock area. The system used RFID tags in two forms: one form used to identify pallets and another to indicate the locations of shelves on which pallets are stored. After using RFID system in this warehouse, the results showed that the accuracy of inventory location increased from 78.2% to 100%. The cycle time reduces from 66 minutes to 47 minutes which is down to 28.79%. . Moreover, the empty storage location are known real time. 

  5. Research on Industry Knowledge Warehouse%行业知识库研究

    Institute of Scientific and Technical Information of China (English)

    张明宝; 刘鹏飞

    2015-01-01

    Industry knowledge warehouse is an important development direction of knowledge warehouse applications. It briefly describes the concepts and function features of industry knowledge warehouse and establishes its system architecture reference model. Based on such reference model, progress in the field associated with industry knowledge warehouse is summarized systematically and finally the research status features of industry knowledge warehouse are summarized, which aims to lay the foundation for the coming researches of industry knowledge warehouse.%行业知识库是知识库应用发展的一个重要方向。简要阐述了行业知识库的概念和功能特点,建立了行业知识库系统体系结构参考模型,以该模型描述的问题为框架系统梳理了相关领域的研究进展,总结了行业知识库研究现状的特点,力图为系统研究行业知识库的理论方法奠定基础。

  6. Desain Sistem Semantic Data Warehouse dengan Metode Ontology dan Rule Based untuk Mengolah Data Akademik Universitas XYZ di Bali

    Directory of Open Access Journals (Sweden)

    Made Pradnyana Ambara

    2016-06-01

    Full Text Available Data warehouse pada umumnya yang sering dikenal data warehouse tradisional mempunyai beberapa kelemahan yang mengakibatkan kualitas data yang dihasilkan tidak spesifik dan efektif. Sistem semantic data warehouse merupakan solusi untuk menangani permasalahan pada data warehouse tradisional dengan kelebihan antara lain: manajeman kualitas data yang spesifik dengan format data seragam untuk mendukung laporan OLAP yang baik, dan performance pencarian informasi yang lebih efektif dengan kata kunci bahasa alami. Pemodelan sistem semantic data warehouse menggunakan metode ontology menghasilkan model resource description framework schema (RDFS logic yang akan ditransformasikan menjadi snowflake schema. Laporan akademik yang dibutuhkan dihasilkan melalui metode nine step Kimball dan pencarian semantic menggunakan metode rule based. Pengujian dilakukan menggunakan dua metode uji yaitu pengujian dengan black box testing dan angket kuesioner cheklist. Dari hasil penelitian ini dapat disimpulkan bahwa sistem semantic data warehouse dapat membantu proses pengolahan data akademik yang menghasilkan laporan yang berkualitas untuk mendukung proses pengambilan keputusan.

  7. The design and development of a social science data warehouse: A case study of the Human Resources Development Data Warehouse Project of the Human Sciences Research Council, South Africa

    Directory of Open Access Journals (Sweden)

    Andrew Paterson

    2003-02-01

    Full Text Available This article focuses on the development of a data warehouse to facilitate government decision-making on national human resources development and to provide public access to information. A set of key challenges was confronted in the development of the data warehouse including: the conceptualisation, design, implementation and management of the data warehouse system. The underlying questions that informed the process were, first: "In what ways will a data warehouse for a social science based research project be different from other database structures?" And second: "What are the particular management problems associated with large-scale long term social science based database projects?"

  8. Study on the Warehouse-out Ways of Warehouse Logistics System and the Establishment of the Mathematical Model of Warehouse-out Agency%仓储物流系统出库方式研究及取出机构的数学模型建立

    Institute of Scientific and Technical Information of China (English)

    熊建华

    2014-01-01

    This paper contrastively studies the advantages and disadvantages of the performances in the different warehouse-out agencies to provide theoretical guidance for designing the warehouse-out agencies of warehouse logistics systems and choosing the warehouse-out ways.%本文对不同取出机构的性能优缺点进行了对比研究,为仓储物流系统的取出机构设计和出库方式选择提供了理论指导。

  9. Atlas – a data warehouse for integrative bioinformatics

    Directory of Open Access Journals (Sweden)

    Yuen Macaire MS

    2005-02-01

    Full Text Available Abstract Background We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional annotations of genes, and biological ontologies. The goal of the system is to provide data, as well as a software infrastructure for bioinformatics research and development. Description The Atlas system is based on relational data models that we developed for each of the source data types. Data stored within these relational models are managed through Structured Query Language (SQL calls that are implemented in a set of Application Programming Interfaces (APIs. The APIs include three languages: C++, Java, and Perl. The methods in these API libraries are used to construct a set of loader applications, which parse and load the source datasets into the Atlas database, and a set of toolbox applications which facilitate data retrieval. Atlas stores and integrates local instances of GenBank, RefSeq, UniProt, Human Protein Reference Database (HPRD, Biomolecular Interaction Network Database (BIND, Database of Interacting Proteins (DIP, Molecular Interactions Database (MINT, IntAct, NCBI Taxonomy, Gene Ontology (GO, Online Mendelian Inheritance in Man (OMIM, LocusLink, Entrez Gene and HomoloGene. The retrieval APIs and toolbox applications are critical components that offer end-users flexible, easy, integrated access to this data. We present use cases that use Atlas to integrate these sources for genome annotation, inference of molecular interactions across species, and gene-disease associations. Conclusion The Atlas biological data warehouse serves as data infrastructure for bioinformatics research and development. It forms the backbone of the research activities in our laboratory and facilitates the integration of disparate, heterogeneous biological sources of data enabling new scientific inferences. Atlas achieves integration of diverse data sets at two levels. First

  10. Optimization of ETL Work Flow in Data Warehouse

    Directory of Open Access Journals (Sweden)

    Kommineni Sivaganesh

    2012-09-01

    Full Text Available ETL is responsible for extracting the information or data from different several Areas and applies some cleaning, customization, transformation function for data and finally loading into the datawarehouse. This paper presents , to implement the one ETL scenario with the help of ARKTOS II. It is a stepwise process, firstly to design the conceptual model for the ETL scenario it contains the quickdocumentation which contains their relationships, attributes and transformation among them. Next one is a formal logical model for the ETL scenario, it contains the flow of data from the sources towards the data warehouse through the transformations and data stores. ETL processes handle the large volume of data, and managing the workload. It is a complex task and expensive operations in terms of time andsystem resources. Therefore to minimize the time required for completion of ETL workflow and resources needed for the ETL tasks. So that we implement the optimization for the ETL workflows, in theminimizing the total cost of the ETL scenario.

  11. DW4TR: A Data Warehouse for Translational Research.

    Science.gov (United States)

    Hu, Hai; Correll, Mick; Kvecher, Leonid; Osmond, Michelle; Clark, Jim; Bekhash, Anthony; Schwab, Gwendolyn; Gao, De; Gao, Jun; Kubatin, Vladimir; Shriver, Craig D; Hooke, Jeffrey A; Maxwell, Larry G; Kovatich, Albert J; Sheldon, Jonathan G; Liebman, Michael N; Mural, Richard J

    2011-12-01

    The linkage between the clinical and laboratory research domains is a key issue in translational research. Integration of clinicopathologic data alone is a major task given the number of data elements involved. For a translational research environment, it is critical to make these data usable at the point-of-need. Individual systems have been developed to meet the needs of particular projects though the need for a generalizable system has been recognized. Increased use of Electronic Medical Record data in translational research will demand generalizing the system for integrating clinical data to support the study of a broad range of human diseases. To ultimately satisfy these needs, we have developed a system to support multiple translational research projects. This system, the Data Warehouse for Translational Research (DW4TR), is based on a light-weight, patient-centric modularly-structured clinical data model and a specimen-centric molecular data model. The temporal relationships of the data are also part of the model. The data are accessed through an interface composed of an Aggregated Biomedical-Information Browser (ABB) and an Individual Subject Information Viewer (ISIV) which target general users. The system was developed to support a breast cancer translational research program and has been extended to support a gynecological disease program. Further extensions of the DW4TR are underway. We believe that the DW4TR will play an important role in translational research across multiple disease types. Copyright © 2011 Elsevier Inc. All rights reserved.

  12. 数据仓库的质量管理问题和方法%The Problems and Methods of Quality Management in Data Warehouses

    Institute of Scientific and Technical Information of China (English)

    毛国君

    2003-01-01

    A data warehouse is often a large-scale information system for an enterprise,so its quality management isimportant and difficult. Recently,some researchers have studied the problems of quality management in data ware-houses from different views ,and achieved some good results. This paper will broadly introduce the concept ,methodsand techniques in quality management in data warehouses ,and discuss the important quality factors in data warehous-es in detail.

  13. Proposed Quality Evaluation Framework to Incorporate Quality Aspects in Web Warehouse Creation

    CERN Document Server

    Shah, Umm-e-Mariya; Shamim, Azra; Mehmood, Yasir

    2011-01-01

    Web Warehouse is a read only repository maintained on the web to effectively handle the relevant data. Web warehouse is a system comprised of various subsystems and process. It supports the organizations in decision making. Quality of data store in web warehouse can affect the quality of decision made. For a valuable decision making it is required to consider the quality aspects in designing and modelling of a web warehouse. Thus data quality is one of the most important issues of the web warehousing system. Quality must be incorporated at different stages of the web warehousing system development. It is necessary to enhance existing data warehousing system to increase the data quality. It results in the storage of high quality data in the repository and efficient decision making. In this paper a Quality Evaluation Framework is proposed keeping in view the quality dimensions associated with different phases of a web warehouse. Further more, the proposed framework is validated empirically with the help of quan...

  14. Design of data warehouse in teaching state based on OLAP and data mining

    Science.gov (United States)

    Zhou, Lijuan; Wu, Minhua; Li, Shuang

    2009-04-01

    The data warehouse and the data mining technology is one of information technology research hot topics. At present the data warehouse and the data mining technology in aspects and so on commercial, financial industry as well as enterprise's production, market marketing obtained the widespread application, but is relatively less in educational fields' application. Over the years, the teaching and management have been accumulating large amounts of data in colleges and universities, while the data can not be effectively used, in the light of social needs of the university development and the current status of data management, the establishment of data warehouse in university state, the better use of existing data, and on the basis dealing with a higher level of disposal --data mining are particularly important. In this paper, starting from the decision-making needs design data warehouse structure of university teaching state, and then through the design structure and data extraction, loading, conversion create a data warehouse model, finally make use of association rule mining algorithm for data mining, to get effective results applied in practice. Based on the data analysis and mining, get a lot of valuable information, which can be used to guide teaching management, thereby improving the quality of teaching and promoting teaching devotion in universities and enhancing teaching infrastructure. At the same time it can provide detailed, multi-dimensional information for universities assessment and higher education research.

  15. Diseño, elaboración y explotación de un data warehouse para una institución sanitaria

    OpenAIRE

    Castillo Hernández, Iván

    2014-01-01

    Diseño, elaboración y explotación de un data warehouse para una institución sanitaria. Disseny, elaboració i explotació d'un data warehouse per a una institució sanitària. Bachelor thesis for the Computer Science program on Data warehouse.

  16. 31 CFR 585.412 - Release of goods originating in the FRY (S&M) from a bonded warehouse or foreign trade zone.

    Science.gov (United States)

    2010-07-01

    ... FRY (S&M) from a bonded warehouse or foreign trade zone. 585.412 Section 585.412 Money and Finance... of goods originating in the FRY (S&M) from a bonded warehouse or foreign trade zone. Section 585.204 does not prohibit the release from a bonded warehouse or foreign trade zone of goods originating in...

  17. Diseño, elaboración y explotación de un data warehouse para una institución sanitaria

    OpenAIRE

    Castillo Hernández, Iván

    2014-01-01

    Diseño, elaboración y explotación de un data warehouse para una institución sanitaria. Disseny, elaboració i explotació d'un data warehouse per a una institució sanitària. Bachelor thesis for the Computer Science program on Data warehouse.

  18. 31 CFR 593.412 - Release of any round log or timber product originating in Liberia from a bonded warehouse or...

    Science.gov (United States)

    2010-07-01

    ... product originating in Liberia from a bonded warehouse or foreign trade zone. 593.412 Section 593.412... warehouse or foreign trade zone. (a) The prohibitions in § 593.205 apply to importation into a bonded warehouse or a foreign trade zone in the United States. (b) Section 593.205 does not prohibit the...

  19. 19 CFR 19.23 - Withdrawal for exportation from one port to be credited on warehouse entry account at another port.

    Science.gov (United States)

    2010-04-01

    ... credited on warehouse entry account at another port. 19.23 Section 19.23 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN Smelting and Refining Warehouses § 19.23...

  20. Quantitative performance of E-Scribe warehouse in detecting quality issues with digital annotated ECG data from healthy subjects.

    Science.gov (United States)

    Sarapa, Nenad; Mortara, Justin L; Brown, Barry D; Isola, Lamberto; Badilini, Fabio

    2008-05-01

    The US Food and Drug Administration recommends submission of digital electrocardiograms in the standard HL7 XML format into the electrocardiogram warehouse to support preapproval review of new drug applications. The Food and Drug Administration scrutinizes electrocardiogram quality by viewing the annotated waveforms and scoring electrocardiogram quality by the warehouse algorithms. Part of the Food and Drug Administration warehouse is commercially available to sponsors as the E-Scribe Warehouse. The authors tested the performance of E-Scribe Warehouse algorithms by quantifying electrocardiogram acquisition quality, adherence to QT annotation protocol, and T-wave signal strength in 2 data sets: "reference" (104 digital electrocardiograms from a phase I study with sotalol in 26 healthy subjects with QT annotations by computer-assisted manual adjustment) and "test" (the same electrocardiograms with an intentionally introduced predefined number of quality issues). The E-Scribe Warehouse correctly detected differences between the 2 sets expected from the number and pattern of errors in the "test" set (except for 1 subject with QT misannotated in different leads of serial electrocardiograms) and confirmed the absence of differences where none was expected. E-Scribe Warehouse scores below the threshold value identified individual electrocardiograms with questionable T-wave signal strength. The E-Scribe Warehouse showed satisfactory performance in detecting electrocardiogram quality issues that may impair reliability of QTc assessment in clinical trials in healthy subjects.

  1. 数据仓库中的元数据与CWM规范%Metadata in Data Warehouse and CWM Specification

    Institute of Scientific and Technical Information of China (English)

    张丽娟; 李舟军; 陈火旺

    2003-01-01

    Metadata plays a very important role in data warehouse. Metadata helps developers and administrators develop, maintain and manage data warehouse, it also helps end users understand, acquire and analyze data. In this paper contents and functions about metadata are introduced,and CWM specification advanced by OMG is discussed.

  2. Data Delivery and Mapping Over the Web: National Water-Quality Assessment Data Warehouse

    Science.gov (United States)

    Bell, Richard W.; Williamson, Alex K.

    2006-01-01

    The U.S. Geological Survey began its National Water-Quality Assessment (NAWQA) Program in 1991, systematically collecting chemical, biological, and physical water-quality data from study units (basins) across the Nation. In 1999, the NAWQA Program developed a data warehouse to better facilitate national and regional analysis of data from 36 study units started in 1991 and 1994. Data from 15 study units started in 1997 were added to the warehouse in 2001. The warehouse currently contains and links the following data: -- Chemical concentrations in water, sediment, and aquatic-organism tissues and related quality-control data from the USGS National Water Information System (NWIS), -- Biological data for stream-habitat and ecological-community data on fish, algae, and benthic invertebrates, -- Site, well, and basin information associated with thousands of descriptive variables derived from spatial analysis, like land use, soil, and population density, and -- Daily streamflow and temperature information from NWIS for selected sampling sites.

  3. Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design

    DEFF Research Database (Denmark)

    Xiufeng, Liu; Iftikhar, Nadeem

    2013-01-01

    During data warehouse schema design, designers often encounter how to model big dimensions that typically contain a large number of attributes and records. To investigate effective approaches for modeling big dimensions is necessary in order to achieve better query performance, with respect...... partitioning, vertical partitioning and their hybrid. We formalize the design methods and propose an algorithm that describes the modeling process from an OWL ontology to a data warehouse schema. In addition, this paper also presents an effective ontology-based tool to automate the modeling process. The tool...... can automatically generate the data warehouse schema from the ontology of describing the terms and business semantics for the big dimension. In case of any change in the requirements, we only need to modify the ontology, and re-generate the schema using the tool. This paper also evaluates the proposed...

  4. From capturing nursing knowledge to retrieval of data from a data warehouse.

    Science.gov (United States)

    Thoroddsen, Asta; Guðjónsdóttir, Hanna K; Guðjónsdóttir, Elisabet

    2014-01-01

    The purpose of the project was to capture nursing data and knowledge, represent it for use and re-use by retrieval from a data warehouse, which contains both clinical and financial hospital data. Today nurses at LUH use standardized nursing terminologies to document information related to patients and the nursing care in the EHR at all times. Pre-defined order sets for nursing care have been developed using best practice where available and tacit nursing knowledge has been captured and coded with standardized nursing terminologies and made explicit for dissemination in the EHR. All patient-nursing data is permanently stored in a data repository. Core nursing data elements have been selected for transfer and storage in the data warehouse and patient-nursing data are now captured, stored, can be related to other data elements from the warehouse and be retrieved for use and re-use.

  5. Data warehouse for assessing animal health, welfare, risk management and –communication

    Science.gov (United States)

    2011-01-01

    The objective of this paper is to give an overview of existing databases in Denmark and describe some of the most important of these in relation to establishment of the Danish Veterinary and Food Administrations’ veterinary data warehouse. The purpose of the data warehouse and possible use of the data are described. Finally, sharing of data and validity of data is discussed. There are databases in other countries describing animal husbandry and veterinary antimicrobial consumption, but Denmark will be the first country relating all data concerning animal husbandry, -health and -welfare in Danish production animals to each other in a data warehouse. Moreover, creating access to these data for researchers and authorities will hopefully result in easier and more substantial risk based control, risk management and risk communication by the authorities and access to data for researchers for epidemiological studies in animal health and welfare. PMID:21999393

  6. Roadmap to a Comprehensive Clinical Data Warehouse for Precision Medicine Applications in Oncology.

    Science.gov (United States)

    Foran, David J; Chen, Wenjin; Chu, Huiqi; Sadimin, Evita; Loh, Doreen; Riedlinger, Gregory; Goodell, Lauri A; Ganesan, Shridar; Hirshfield, Kim; Rodriguez, Lorna; DiPaola, Robert S

    2017-01-01

    Leading institutions throughout the country have established Precision Medicine programs to support personalized treatment of patients. A cornerstone for these programs is the establishment of enterprise-wide Clinical Data Warehouses. Working shoulder-to-shoulder, a team of physicians, systems biologists, engineers, and scientists at Rutgers Cancer Institute of New Jersey have designed, developed, and implemented the Warehouse with information originating from data sources, including Electronic Medical Records, Clinical Trial Management Systems, Tumor Registries, Biospecimen Repositories, Radiology and Pathology archives, and Next Generation Sequencing services. Innovative solutions were implemented to detect and extract unstructured clinical information that was embedded in paper/text documents, including synoptic pathology reports. Supporting important precision medicine use cases, the growing Warehouse enables physicians to systematically mine and review the molecular, genomic, image-based, and correlated clinical information of patient tumors individually or as part of large cohorts to identify changes and patterns that may influence treatment decisions and potential outcomes.

  7. Data warehouse for assessing animal health, welfare, risk management and -communication.

    Science.gov (United States)

    Nielsen, Annette Cleveland

    2011-01-01

    The objective of this paper is to give an overview of existing databases in Denmark and describe some of the most important of these in relation to establishment of the Danish Veterinary and Food Administrations' veterinary data warehouse. The purpose of the data warehouse and possible use of the data are described. Finally, sharing of data and validity of data is discussed. There are databases in other countries describing animal husbandry and veterinary antimicrobial consumption, but Denmark will be the first country relating all data concerning animal husbandry, -health and -welfare in Danish production animals to each other in a data warehouse. Moreover, creating access to these data for researchers and authorities will hopefully result in easier and more substantial risk based control, risk management and risk communication by the authorities and access to data for researchers for epidemiological studies in animal health and welfare.

  8. An Application of Rough Set Theory to Modelling and Utilising Data Warehouses

    Institute of Scientific and Technical Information of China (English)

    DENG Ming-rong; YANG Jian-bo; PAN Yun-he

    2001-01-01

    A data warehouse often accommodates enormous summary information in various granularities and is mainly used to support on-line analytical processing. Ideally all detailed data should be accessible by residing in some legacy systems or on-line transaction processing systems. In many cases, however, data sources in computers are also kinds of summary data due to technological problems or budget limits and also because different aggregation hierarchies may need to be used among various transaction systems. In such circumstances, it is necessary to investigate how to design dimensions, which play a major role in dimensional model for a data warehouse, and how to estimate summary information, which is not stored in the data warehouse. In this paper, the rough set theory is applied to support the dimension design and information estimation.

  9. Web-based data warehouse in the osteoporosis community health information management system

    Directory of Open Access Journals (Sweden)

    Wang Qiang

    2013-10-01

    Full Text Available Objective: To investigate the remote management system of osteoporosis community intervention and design the data warehouse. Materials and Methods: The basic principles and methods of data warehouse were applied to the osteoporosis community intervention to build the MySQL 4.5 relational database using PHP as the development tool. A web-based B/S Model remote management system was established for the high risk population of osteoporosis in the community. Results: The system can be used for data management, data query, online analysis, etc., in community health service center, specialist outpatient for osteoporosis, and health administration sectors. Conclusion: The remote management system and data warehouse can provide guidance for policymaking of health administrators, residents health information, and intervention suggestions for general practitioners in community health service centers, patients follow-up information for osteoporosis specialists in general hospitals, as well as large quantities of original research data and preliminary health statistic results.

  10. Mapping from a clinical data warehouse to the HL7 Reference Information Model.

    Science.gov (United States)

    Lyman, Jason A; Scully, Ken; Tropello, Steve; Boyd, James; Dalton, Jason; Pelletier, Sandra; Egyhazy, Csaba

    2003-01-01

    Large-scale data integration efforts to support clinical and biologic research are greatly facilitated by the adoption of standards for the representation and exchange of data. As part of a larger project to design the necessary architecture for multi-institutional sharing of disparate biomedical data, we explored the potential of the HL7 Reference Information Model (RIM) for representing the data stored in a local academic clinical data warehouse. A necessary first step in information exchange with such a warehouse is the development and utilization of tools for transforming between local data schemas and standards-based conceptual data models. We describe our initial efforts at mapping clinical concepts from a relational data warehouse to the HL7 RIM.

  11. A Robust Approach for Redesigning Three Level Supply Chain Warehouses in Uncertain Condition

    Directory of Open Access Journals (Sweden)

    Mahdi Bashiri

    2012-06-01

    Full Text Available Nowadays, warehouses dedicate considerable proportion of network's costs in a supply chain and conditions such as uncertainty in cost parameters, production capacity and demands emphasize on necessity of reasonable decisions on warehouse management. In this paper, uncertainty has been investigated under discrete different scenarios. Moreover, a new model has been proposed for redesigning of warehouses considering the min-max cost function for scenarios in specific customer servicing coverage radius. The robust approach used in this paper has been investigated by numerical examples and the obtained costs have been compared with the expected value model results. Findings imply efficiency of the proposed robust approach. Also, the costs resulted from the new relocation model have been evaluated with respect to the costs of continuing the current supply chain configuration and the findings indicate a significant cost improvement.

  12. Two-warehouse production policy for different demands under volume flexibility

    Directory of Open Access Journals (Sweden)

    Sanjay Sharma

    2013-10-01

    Full Text Available In this paper, an inventory model of two-warehouse is considered, which evaluates the impact of a reduction rate in the selling price with volume flexibility. In real life, there are many products, which may decay or deteriorate or become obsolete. Therefore, one alternative is to clear the stock by selling a large amount of items at reduced prices. Taking this concept into account, this paper considers a fixed demand rate at the beginning of planning until the certain time point occurs, while demand is assumed to follow the pattern of nonlinear and non-decreasing power function of the reduction rate. The total cost function includes warehouse and rented warehouse holding costs, set up cost and the production cost. Numerical illustrations are given to exemplify the model and the proposed model is solved using a Genetic Algorithm (GA with sensitivity analysis.

  13. Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses

    Directory of Open Access Journals (Sweden)

    Jiajia Dou

    2015-01-01

    Full Text Available A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA based task scheduling is combined with reinforcement learning (RL based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In order to achieve higher efficiency of the intelligent warehouse system, we design a new solution by combining these two techniques and provide an effective and alternative way compared with other state-of-the-art methods. Simulation results demonstrate the effectiveness of the proposed approach regarding the optimization of travel time and overall efficiency of the intelligent warehouse system.

  14. Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management.

    Science.gov (United States)

    Karami, Mahtab; Rahimi, Azin

    2017-09-21

    Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population. The aim of this review article is to describe the benefits of clinical data warehouse applications in creating intelligence for disease management programs.

  15. Database Are Not Toasters: A Framework for Comparing Data Warehouse Appliances

    Science.gov (United States)

    Trajman, Omer; Crolotte, Alain; Steinhoff, David; Nambiar, Raghunath Othayoth; Poess, Meikel

    The success of Business Intelligence (BI) applications depends on two factors, the ability to analyze data ever more quickly and the ability to handle ever increasing volumes of data. Data Warehouse (DW) and Data Mart (DM) installations that support BI applications have historically been built using traditional architectures either designed from the ground up or based on customized reference system designs. The advent of Data Warehouse Appliances (DA) brings packaged software and hardware solutions that address performance and scalability requirements for certain market segments. The differences between DAs and custom installations make direct comparisons between them impractical and suggest the need for a targeted DA benchmark. In this paper we review data warehouse appliances by surveying thirteen products offered today. We assess the common characteristics among them and propose a classification for DA offerings. We hope our results will help define a useful benchmark for DAs.

  16. The Analytical Data Warehouse: A sustainable approach for Empowering institutional Decision Making

    Directory of Open Access Journals (Sweden)

    AJIT SINGH

    2011-07-01

    Full Text Available Traditionally, data warehouses have been used to analyze historical data. Recently, there has been a growing trend to use data warehouses to support real-time decision-making about an enterprise’s day-to-day operations. The needs for improved query and update performance are two challenges that arise from this new application of a data warehouse. To address these needs, new data warehouse functionality is needed including: (1 Better access to early query results while queries are running and (2 Making the information stored in a datawarehouse as fresh as possible. Modern businesses use a great number of different computer systems to manage their daily business processes. These systems are known as "operational system" and have been acquired from several vendors during a long time and are based on different technologies and software’s. The integration of their different systems is complex and difficult. The data warehousing approach solves the problem by integrating data from the operational systems into one common data store: the data warehouse. The primary concept of data warehousing is that the data stored for business analysis can most efficiently be accessed by separating the data from the operational systems. The reasons to separate the operational data from analysis data have not significantly changed with the evolution of the data warehousing systems. The purpose of this study was to investigate ways in which principals build successful data-driven information systems within their Institutions using a qualitativemulti-site case study method. Our finding will review the process followed in designing the warehouse, based on enterprise-wide information needs.

  17. Rancang Bangun Data Warehouse Untuk Analisis Kinerja Penjualan Pada Industri Dengan Model Spa-Dw

    Directory of Open Access Journals (Sweden)

    Randy Oktrima Putra

    2014-02-01

    Full Text Available A company, majorly company that active in commercial (profit orientation need to analyze their sales performance. By analyzing sales performance, company can increase their sales performance. One of method to analyze sales performance is by collecting historical data that relates to sales and then process that data so that produce information that show company sales performance.   A data warehouse is a set of data that has characteristic subject oriented, time variant, integrated, and nonvolatile that help company management in processing of decision making. Design of data warehouse is started from collecting data that relate to sales such as product, customer, sales area, sales transaction, etc. After collecting the data, next is data extraction and transformation. Data extraction is a process f or selecting data that will be loaded into data warehouse. Data transformation is making some change to the data afte r extracted to be more consistent. After transformation processing, data are loaded into data warehouse. Data in data warehouse is processed by OLAP (On Line Analytical Processing to produce information.  Information that are produced from data processing  by OLAP are chart and query reporting. Chart reporting are sales chart based on cement type, sales chart based on sales area, sales chart based on plant, monthly and year ly sales chart, and chart based on customer feedback. Query reporting are sales based on cement type, sales area, plant and customer.Keywords: Data warehouse; OLAP; Sales performance analysis; Ready mix market

  18. The Challenges of Data Quality Evaluation in a Joint Data Warehouse.

    Science.gov (United States)

    Bae, Charles J; Griffith, Sandra; Fan, Youran; Dunphy, Cheryl; Thompson, Nicolas; Urchek, John; Parchman, Alandra; Katzan, Irene L

    2015-01-01

    The use of clinically derived data from electronic health records (EHRs) and other electronic clinical systems can greatly facilitate clinical research as well as operational and quality initiatives. One approach for making these data available is to incorporate data from different sources into a joint data warehouse. When using such a data warehouse, it is important to understand the quality of the data. The primary objective of this study was to determine the completeness and concordance of common types of clinical data available in the Knowledge Program (KP) joint data warehouse, which contains feeds from several electronic systems including the EHR. A manual review was performed of specific data elements for 250 patients from an EHR, and these were compared with corresponding elements in the KP data warehouse. Completeness and concordance were calculated for five categories of data including demographics, vital signs, laboratory results, diagnoses, and medications. In general, data elements for demographics, vital signs, diagnoses, and laboratory results were present in more cases in the source EHR compared to the KP. When data elements were available in both sources, there was a high concordance. In contrast, the KP data warehouse documented a higher prevalence of deaths and medications compared to the EHR. Several factors contributed to the discrepancies between data in the KP and the EHR-including the start date and frequency of data feeds updates into the KP, inability to transfer data located in nonstructured formats (e.g., free text or scanned documents), as well as incomplete and missing data variables in the source EHR. When evaluating the quality of a data warehouse with multiple data sources, assessing completeness and concordance between data set and source data may be better than designating one to be a gold standard. This will allow the user to optimize the method and timing of data transfer in order to capture data with better accuracy.

  19. A Schematic Technique Using Data type Preserving Encryption to Boost Data Warehouse Security

    Directory of Open Access Journals (Sweden)

    M. Sreedhar Reddy

    2011-01-01

    Full Text Available An ingenious data warehouse habitually contains information which must be painstaking enormously sensitive and proprietary. Protection of this information, as important as it is, is too often thorny by the presence of assorted computing environments, managerial issues, difficulties in controlling data distribution, and slipshod attitudes towards information security. We present a method of in progression fortification based on an encryption scheme which preserves the data type of the plaintext resource. We suppose that this method is particularly companionable for multifaceted data warehouse environments.

  20. Countermeasures for Lean Warehouse Management%精益化仓储管理对策

    Institute of Scientific and Technical Information of China (English)

    杨文忠

    2012-01-01

    In this paper, we explained the importance of promoting lean warehouse management, analyzed the current status of warehouse management and the problems existing therein, and proposed the countermeasures of promotion.%阐述了推进精益化仓储管理的重要意义,分析了当前仓储管理的现状与存在的主要问题,提出了推进精益化仓储管理的对策措施.

  1. On Data Warehouse and its Application%数据仓库技术及应用

    Institute of Scientific and Technical Information of China (English)

    赵运红

    2011-01-01

    介绍了数据挖掘的概念,分析了数据仓库产生的原因,从数据仓库中数据的组织、管理和提取等角度阐述了数据仓库的建立和应用。%The paper introduces the concept of data mining,and analyzes the reasons why the data warehouse be established.The application of data warehouse is described from the aspects of data organization,data management and data extraction.

  2. CardioVINEdb: a data warehouse approach for integration of life science data in cardiovascular diseases.

    Science.gov (United States)

    Kormeier, Benjamin; Hippe, Klaus; Töpel, Thoralf; Hofestädt, Ralf

    2010-06-28

    One of the major challenges in bioinfomatics is to integrate and manage data from different sources as well as experimental microarray data and present them in a user-friendly format. Therefore, we present CardioVINEdb, a data warehouse approach developed to interact with and explore life science data. The data warehouse architecture provides a platform independent web interface that can be used with any common web browser. A monitor component controls and updates the data from the different sources to guarantee up-todateness. In addition, the system provides a "static" and "dynamic" visualization component for interactive graphical exploration of the data.

  3. Designing ETL Tools to Feed a Data Warehouse Based on Electronic Healthcare Record Infrastructure.

    Science.gov (United States)

    Pecoraro, Fabrizio; Luzi, Daniela; Ricci, Fabrizio L

    2015-01-01

    Aim of this paper is to propose a methodology to design Extract, Transform and Load (ETL) tools in a clinical data warehouse architecture based on the Electronic Healthcare Record (EHR). This approach takes advantages on the use of this infrastructure as one of the main source of information to feed the data warehouse, taking also into account that clinical documents produced by heterogeneous legacy systems are structured using the HL7 CDA standard. This paper describes the main activities to be performed to map the information collected in the different types of document with the dimensional model primitives.

  4. TA-60 Warehouse and Salvage SWPPP Rev 2 Jan 2017-Final

    Energy Technology Data Exchange (ETDEWEB)

    Burgin, Jillian Elizabeth [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-02-07

    The Stormwater Pollution Prevention Team (PPT) for the TA-60-0002 Salvage and Warehouse Area consists of operations and management personnel from the facility, Multi-Sector General Permitting (MSGP) stormwater personnel from Environmental Compliance Programs (EPC-CP) organization, and Deployed Environmental Professionals. The EPC-CP representative is responsible for Laboratory compliance under the National Pollutant Discharge Elimination System (NPDES) permit regulations. The team members are selected on the basis of their familiarity with the activities at the facility and the potential impacts of those activities on stormwater runoff. The Warehouse and Salvage Yard are a single shift operation; therefore, a member of the PPT is always present during operations.

  5. Simple ROI untuk justifikasi investasi proyek Data Warehouse pada perguruan tinggi swasta

    CERN Document Server

    Warnars, Spits

    2010-01-01

    Decreasing new students for private high education push the management particularly for high level management for making an information which can help them to make decisions in order for competition with other high educations. One of way out by building with information technology approaching like data warehouse for data handling and making the best decisions. Simple ROI is used for project justification. Based on ROI value between 1,850.13% and cash flow Rp. 22,081,297,308 then can be concluded that project data warehouse development in private high education can be implemented with the particular assumptions.

  6. Garment Counting in a Textile Warehouse by Means of a Laser Imaging System

    Directory of Open Access Journals (Sweden)

    Alejandro Santos Martínez-Sala

    2013-04-01

    Full Text Available Textile logistic warehouses are highly automated mechanized places where control points are needed to count and validate the number of garments in each batch. This paper proposes and describes a low cost and small size automated system designed to count the number of garments by processing an image of the corresponding hanger hooks generated using an array of phototransistors sensors and a linear laser beam. The generated image is processed using computer vision techniques to infer the number of garment units. The system has been tested on two logistic warehouses with a mean error in the estimated number of hangers of 0.13%.

  7. Modelo ZeEN: uma abordagem minimalista para o desenho de data warehouses

    OpenAIRE

    Gago, Miguel Nuno Silva Gomes Rodrigues

    2013-01-01

    Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação Constituindo o data warehouse o componente estrutural por excelência dum sistema de Business Intelligence, alterações à estrutura do modelo de negócio servido implicam normalmente alterações ao modelo de dados utilizado e, logo, operações especializadas de administração e arquitectura, tais como: paragem do sistema, redesenho e reimplementação do data warehouse, adaptação do...

  8. Evaluation of a data warehouse in an academic health sciences center.

    Science.gov (United States)

    Schubart, J R; Einbinder, J S

    1999-01-01

    A data warehouse can provide significant benefits to a health care organization if successfully designed and implemented. The Clinical Data Repository (CDR) at the University of Virginia Health Sciences Center improves access to needed data for clinical research and effective decision making at many levels of the organization. We conducted an evaluation of the CDR using a survey questionnaire and interviews of key executive leaders. Our results suggest factors that influence the initial decision to use an information resource, examine the impact of communication channels, and highlight key issues that determine the continued use and ultimate success of a healthcare data warehouse.

  9. Managing data quality in an existing medical data warehouse using business intelligence technologies.

    Science.gov (United States)

    Eaton, Scott; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti

    2008-11-06

    The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) is a comprehensive data warehousing facility that provides providing data integration, management, mining, training, and development services to a diversity of customers across the clinical, education, and research sectors of the OSUMC. Providing accurate and complete data is a must for these purposes. In order to monitor the data quality of targeted data sets, an online scorecard has been developed to allow visualization of the critical measures of data quality in the Information Warehouse.

  10. Data Warehouse Designs Achieving ROI with Market Basket Analysis and Time Variance

    CERN Document Server

    Silvers, Fon

    2011-01-01

    Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event. In the past however, the use of these powerful tools in tandem led to performance degradation and resulted in unactionable and even damaging information. Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time Variance presents an innovative, soup-to-nuts approach that successfully

  11. 在DSS/EIS&OLAP环境下构造FoodMark 数据仓库的设计与实现%The Design and Implementation of Building FoodMark Data Warehouse under DSS/EIS&OLAP

    Institute of Scientific and Technical Information of China (English)

    钟乐海

    2002-01-01

    The thesis introduces the theory of data warehouse and data architecture,describes the technology of dataarchitecture and data warehouse. Combining FoodMark data base, the building procedure of data warehouse and ana-lytical method of the data are introduced. The construction of the data warehouse is realized with Visual Basic.

  12. Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack.

    Science.gov (United States)

    Garcelon, Nicolas; Neuraz, Antoine; Benoit, Vincent; Salomon, Rémi; Kracker, Sven; Suarez, Felipe; Bahi-Buisson, Nadia; Hadj-Rabia, Smail; Fischer, Alain; Munnich, Arnold; Burgun, Anita

    2017-09-01

    In the context of rare diseases, it may be helpful to detect patients with similar medical histories, diagnoses and outcomes from a large number of cases with automated methods. To reduce the time to find new cases, we developed a method to find similar patients given an index case leveraging data from the electronic health records. We used the clinical data warehouse of a children academic hospital in Paris, France (Necker-Enfants Malades), containing about 400,000 patients. Our model was based on a vector space model (VSM) to compute the similarity distance between an index patient and all the patients of the data warehouse. The dimensions of the VSM were built upon Unified Medical Language System concepts extracted from clinical narratives stored in the clinical data warehouse. The VSM was enhanced using three parameters: a pertinence score (TF-IDF of the concepts), the polarity of the concept (negated/not negated) and the minimum number of concepts in common. We evaluated this model by displaying the most similar patients for five different rare diseases: Lowe Syndrome (LOWE), Dystrophic Epidermolysis Bullosa (DEB), Activated PI3K delta Syndrome (APDS), Rett Syndrome (RETT) and Dowling Meara (EBS-DM), from the clinical data warehouse representing 18, 103, 21, 84 and 7 patients respectively. The percentages of index patients returning at least one true positive similar patient in the Top30 similar patients were 94% for LOWE, 97% for DEB, 86% for APDS, 71% for EBS-DM and 99% for RETT. The mean number of patients with the exact same genetic diseases among the 30 returned patients was 51%. This tool offers new perspectives in a translational context to identify patients for genetic research. Moreover, when new molecular bases are discovered, our strategy will help to identify additional eligible patients for genetic screening. Copyright © 2017. Published by Elsevier Inc.

  13. Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses

    NARCIS (Netherlands)

    Feng, Ling; Dillon, Tharam S.

    2003-01-01

    A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "whether a total sa

  14. Improve Performance of Extract, Transform and Load (ETL in Data Warehouse

    Directory of Open Access Journals (Sweden)

    Vishal Gour

    2010-05-01

    Full Text Available Extract, transform and load (ETL is the core process of data integration and is typically associated with data warehousing. ETL tools extract data from a chosen source, transform it into new formats according to business rules, and then load it into target data structure. Managing rules and processes for the increasing diversity of data sources and high volumes of data processed thatETL must accommodate, make management, performance and cost the primary and challenges for users. ETL is a key process to bring all the data together in a standard, homogenous environment. ETL functionsreshape the relevant data from the source systems into useful information to be stored in the data warehouse. Without these functions, there would be no strategic information in the data warehouse. If source data taken from various sources is not cleanse, extracted properly, transformed and integrated in the proper way, query process which is the backbone of the data warehouse could not happened In this paper we purpose an ultimate advance approach which will increase the speed of Extract, transform and load in data ware house with the support of query cache. Because the query process is the backbone of the data warehouse It will reduce response time and improve the performance of data ware house.

  15. Implementasi Data Warehouse Dan Data Mining Untuk Pengembangan Sistem Rekomendasi Pemilihan SMA

    Directory of Open Access Journals (Sweden)

    Yusuf Sulistyo Nugroho

    2016-12-01

    Hasil penelitian menunjukkan bahwa sebuah data warehouse telah berhasil dibangun sebagai pengelola data sekolah di Sragen yang terintegrasi dan terhubung dengan sistem rekomendasi untuk membantu calon siswa memilih sekolah yang sesuai berdasarkan kriteria-kriteria yang diajukan. Rekomendasi yang dihasilkan oleh sistem berdasarkan nilai confidence tertinggi dari setiap variabel masing-masing sekolah, prioritas variabel, serta urutan peringkat sekolah.

  16. Combining Data Warehouse and Data Mining Techniques for Web Log Analysis

    DEFF Research Database (Denmark)

    Pedersen, Torben Bach; Jespersen, Søren; Thorhauge, Jesper

    2008-01-01

    a number of approaches thatcombine data warehousing and data mining techniques in order to analyze Web logs.After introducing the well-known click and session data warehouse (DW) schemas,the chapter presents the subsession schema, which allows fast queries on sequences...

  17. The Poet in the Warehouse. Creative Writing as Inquiry: Using Imaginative Writing To Explore Other Disciplines.

    Science.gov (United States)

    McCue, Frances

    This master's project contains two essays and a long poem, examining the possibilities of creative writing as a tool of inquiry in mathematics, history, science, film, art, and architecture. The project's first essay, "The Poet in the Warehouse," introduces a brief history of imaginative writing and an argument for its inclusion in…

  18. Locating spare part warehouses using the concept of gradual coverage - A case study

    DEFF Research Database (Denmark)

    Hansen, Klaus Reinholdt Nyhuus; Grunow, Martin

    2009-01-01

    for MAN Diesel SE is presented, where gradual coverage has been used for locating warehouses for spare parts. In particular it is described, how coverage decay functions are found, which identifies customers’ reaction to the offered ’speed of delivery’ and ’total order cost’. With these functions, demand...

  19. Estimation of warehouse throughput in freight transport demand model for the Netherlands

    NARCIS (Netherlands)

    Davydenko, I.; Tavasszy, L.

    2013-01-01

    This paper presents an extension of the classical four-step freight modeling framework with a logistics chain model. Modeling logistics at the regional level establishes a link between trade flow and transport flow, allows the warehouse and distribution center locations and throughput volumes to be

  20. Protocol for a national blood transfusion data warehouse from donor to recipient.

    Science.gov (United States)

    van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W

    2016-08-04

    Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion recipients are linked. This paper describes the design of the data warehouse, challenges and illustrative applications. Quantitative data on blood donors (eg, age, blood group, antibodies) and products (type of product, processing, storage time) are obtained from the national blood bank. These are linked to data on the transfusion recipients (eg, transfusions administered, patient diagnosis, surgical procedures, laboratory parameters), which are extracted from hospital electronic health records. Expected scientific contributions are illustrated for 4 applications: determine risk factors, predict blood use, benchmark blood use and optimise process efficiency. For each application, examples of research questions are given and analyses planned. The DTD project aims to build a national, continuously updated transfusion data warehouse. These data have a wide range of applications, on the donor/production side, recipient studies on blood usage and benchmarking and donor-recipient studies, which ultimately can contribute to the efficiency and safety of blood transfusion. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  1. Data Warehouse for Professional Skills Required on the IT Labor Market

    Directory of Open Access Journals (Sweden)

    Cristian GEORGESCU

    2012-11-01

    Full Text Available This paper represents a research regarding informatics graduates professional level adjustment to specific requirements of the IT labor market. It uses techniques and models for data warehouse technology to allow a comparative analysis between the supply competencies and the skills demand on the IT labor market.

  2. BI Reporting, Data Warehouse Systems, and Beyond. CDS Spotlight Report. Research Bulletin

    Science.gov (United States)

    Lang, Leah; Pirani, Judith A.

    2014-01-01

    This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…

  3. [Establishment of data warehouse of needling and moxibustion literature based on data mining].

    Science.gov (United States)

    Wang, Jian-Ling; Li, Ren-Ling; Jia, Chun-Sheng

    2012-02-01

    In order to explore the efficacy specificity and valuable rules of clinical application of needling and moxibustion methods in a large quantity of information from literature, a data warehouse needs being established. On the basis of the original databases of red-hot needle therapy and hydro-acupuncture therapy, and the newly-established databases of acupoint catgut embedding therapy, acupoint application therapy, etc., and in accordance with the characteristics of different types of needling-moxibustion literature information, databases on different subjects were established first. These subject databases constitute a general "literature data warehouse on needling moxibustion methods" composing of multi-subjects and multiple dimensions so as to discover useful regularities about clinical treatment and trials collected in the literature by using data mining techniques. In the present paper, the authors introduce the design of the data warehouse, determination of subjects, establishment of subject relations, application of the administration platform, and application of data. This data warehouse will provide a standard data representation mode, enlarge data attributes and create extensive data links among literature information in the network, and may bring us with considerable convenience and profits in clinical application decision making and scientific research about needling-moxibustion techniques.

  4. Modelling of Data Warehouse on Food Distribution Center and Reserves in the Ministry of Agriculture

    Directory of Open Access Journals (Sweden)

    Edi Purnomo Putra

    2015-09-01

    Full Text Available The purpose of this study is to perform database’s planning that supports Prototype Modeling Data Warehouse in the Ministry of Agriculture, especially in the Distribution Center and Reserves in the field of distribution, reserve and price. With the prototype of Data Warehouse, the process of data analysis anddecision-making process by the top management will be easier and more accurate. Research’s method used was data collection and design method. Data warehouse’s design method was done by using Kimball’s nine stepsmethodology. Database design was done by using the ERD (Entity Relationship Diagram and activity diagram. The data used for the analysis was obtained from an interview with the head of Distribution, Reserve and Food Price. The results obtained through the analysis incorporated into the Data Warehouse Prototype have been designed to support decision-making. To conclude, Prototype Data Warehouse facilitates the analysis of data, the searching of history data and decision-making by the top management.

  5. 19 CFR 19.3 - Bonded warehouses; alterations; relocation; suspensions; discontinuance.

    Science.gov (United States)

    2010-04-01

    ... through fraud or the misstatement of a material fact; (2) The warehouse proprietor refuses or neglects to... crime. Any change in the employment status of the corporate officer, (e.g., discharge, resignation... theft, smuggling, or a theft-connected crime, resulting from acts committed while a corporate...

  6. Choice of optimal replacement of equipment in the warehouse of the company

    Science.gov (United States)

    Baeva, Silvia; Tomov, Kiril

    2016-12-01

    The aim of this paper is to find an optimal replacement of equipment in the warehouse of the company. Real data for the machines are used and are processed with appropriate software. The mathematical model is made for this problem as problem for the shortest path from graph theory. The solution is made by Bellman's principle.

  7. Method proposition to set the pallet positions designated to fractioned picking orders in a warehouse

    Directory of Open Access Journals (Sweden)

    Caroline Morito Pereira

    2016-11-01

    Full Text Available Storage processes have acquired great importance in the modern supply chain, which demands better performance by warehouses in organizing goods in order to achieve high utilization of physical space and to facilitate the movement of materials. Sizing the storage area and organizing items strategically in storage positions ensures better efficiency in picking processes and customer service. In this context, this study aims to propose a method for defining the positions of pallets assigned to fractioned picking orders in a warehouse according to criteria based on popularity and turnover of the products. This method will be presented in a case study, and the pallets will be positioned in the warehouse in accordance with the results obtained. The gains in terms of order picking productivity and optimization of storage positions will then be measured. Research in this area has grown rapidly in recent years, but the combination of sizing items and classifying these items has not been closely explored. Thus, it is believed that the results could contribute to future research, bridging academic researchers and warehouse professionals.

  8. Estimation of warehouse throughput in freight transport demand model for the Netherlands

    NARCIS (Netherlands)

    Davydenko, I.; Tavasszy, L.

    2013-01-01

    This paper presents an extension of the classical four-step freight modeling framework with a logistics chain model. Modeling logistics at the regional level establishes a link between trade flow and transport flow, allows the warehouse and distribution center locations and throughput volumes to be

  9. Application genetic algorithms for load management in refrigerated warehouses with wind power penetration

    DEFF Research Database (Denmark)

    Zong, Yi; Cronin, Tom; Gehrke, Oliver

    2009-01-01

    Wind energy is produced at random times, whereas the energy consumption pattern shows distinct demand peaks during day-time and low levels during the night. The use of a refrigerated warehouse as a giant battery for wind energy is a new possibility that is being studied for wind energy integratio...

  10. "More than skin deep": Recurrent primary hand abscesses in a warehouse operative.

    Science.gov (United States)

    Kearney, L; O'Connor, C; Fitzpatrick, F; O'Sullivan, J B

    2015-01-01

    A 25-year-old male right-hand dominant warehouse operator presented with two hand infections within 12 weeks both requiring surgical drainage and antimicrobial therapy. Subsequent testing confirmed Panton-Valentine leukocidin-positive Staphylococcus aureus (PVL-SA). This case highlights the need for prompt multidisciplinary management of hand infections to consider, diagnose and manage atypical infections.

  11. BI Reporting, Data Warehouse Systems, and Beyond. CDS Spotlight Report. Research Bulletin

    Science.gov (United States)

    Lang, Leah; Pirani, Judith A.

    2014-01-01

    This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…

  12. Get Set! E-Ready, ... E-Learn! The E-Readiness of Warehouse Workers

    Science.gov (United States)

    Moolman, Hermanus B.; Blignaut, Seugnet

    2008-01-01

    Modern organizations use technology to expand across traditional business zones and boundaries to survive the global commercial village. While IT systems allow organizations to maintain a competitive edge, South African unskilled labour performing warehouse operations are frequently retrained to keep abreast with Information Technology.…

  13. Electrochemical desalination of salt infected limestone masonry of a historic warehouse

    DEFF Research Database (Denmark)

    Ottosen, Lisbeth M.; Christensen, Iben Vernegren; Rörig-Dalgaard, Inge

    2012-01-01

    plant for electrochemical desalination, a method where the driving force is an applied electrical potential. The test plant covered about 25 m2 surface of a limestone wall of a historic warehouse. It consisted of 72 electrode units which were placed in two rows; the one above the other and the mutual...

  14. Metodología crisp para la implementación Data Warehouse

    Directory of Open Access Journals (Sweden)

    Octavio José Salcedo

    2010-06-01

    Full Text Available Currently, the generation of crystal clear reports, concise and above all based on true corporate information is a fundamental element in decision making, because this imminent need arises data warehouse as an essential resource for conducting the process, primarily founded on the philosophy using the concept OLAP and EIS and DSS for the completion of reports. Within the processes carried out for construction of the data warehouse is mainly involving the extraction, processing and handling Information for further definition of the metadata which in turn are used to define the data warehouse as an integrated system. The trend towards pointing BI, is to the dissemination of information both management and to all who need it from different dimensions and levels associated in order to obtainconsolidated or detailed reports to facilitate the synthesis of certain business process that directly impact the decision-making, which at last is the same purpose of the data warehouse. To carry out the implementation of this process is necessary to have an appropriate methodology, so that the project was designed under the structure ofinternational standards, which are the foundation for obtaining excellent results on project implementation.

  15. Determining The Optimal Order Picking Batch Size In Single Aisle Warehouses

    NARCIS (Netherlands)

    T. Le-Duc (Tho); M.B.M. de Koster (René)

    2002-01-01

    textabstractThis work aims at investigating the influence of picking batch size to average time in system of orders in a one-aisle warehouse under the assumption that order arrivals follow a Poisson process and items are uniformly distributed over the aisle's length. We model this problem as an M

  16. Biomedical informatics: development of a comprehensive data warehouse for clinical and genomic breast cancer research.

    Science.gov (United States)

    Hu, Hai; Brzeski, Henry; Hutchins, Joe; Ramaraj, Mohan; Qu, Long; Xiong, Richard; Kalathil, Surendran; Kato, Rand; Tenkillaya, Santhosh; Carney, Jerry; Redd, Rosann; Arkalgudvenkata, Sheshkumar; Shahzad, Kashif; Scott, Richard; Cheng, Hui; Meadow, Stephen; McMichael, John; Sheu, Shwu-Lin; Rosendale, David; Kvecher, Leonid; Ahern, Stephen; Yang, Song; Zhang, Yonghong; Jordan, Rick; Somiari, Stella B; Hooke, Jeffrey; Shriver, Craig D; Somiari, Richard I; Liebman, Michael N

    2004-10-01

    The Windber Research Institute is an integrated high-throughput research center employing clinical, genomic and proteomic platforms to produce terabyte levels of data. We use biomedical informatics technologies to integrate all of these operations. This report includes information on a multi-year, multi-phase hybrid data warehouse project currently under development in the Institute. The purpose of the warehouse is to host the terabyte-level of internal experimentally generated data as well as data from public sources. We have previously reported on the phase I development, which integrated limited internal data sources and selected public databases. Currently, we are completing phase II development, which integrates our internal automated data sources and develops visualization tools to query across these data types. This paper summarizes our clinical and experimental operations, the data warehouse development, and the challenges we have faced. In phase III we plan to federate additional manual internal and public data sources and then to develop and adapt more data analysis and mining tools. We expect that the final implementation of the data warehouse will greatly facilitate biomedical informatics research.

  17. Identification of potential surgical site infections leveraging an enterprise clinical information warehouse.

    Science.gov (United States)

    Santangelo, Jennifer; Erdal, Selnur; Wellington, Linda; Mekhjian, Hagop; Kamal, Jyoti

    2008-11-06

    At The Ohio State University Medical Center (OSUMC), infection control practitioners (ICPs) need an accurate list of patients undergoing defined operative procedures to track surgical site infections. Using data from the OSUMC Information Warehouse (IW), we have created an automated report detailing required data. This report also displays associated surgical and pathology text or dictated reports providing additional information to the ICPs.

  18. Optimizing healthcare research data warehouse design through past COSTAR query analysis.

    Science.gov (United States)

    Murphy, S N; Morgan, M M; Barnett, G O; Chueh, H C

    1999-01-01

    Over the past two years we have reviewed and implemented the specifications for a large relational database (a data warehouse) to find research cohorts from data similar to that contained within the clinical COSTAR database at the Massachusetts General Hospital. A review of 16 years of COSTAR research queries was conducted to determine the most common search strategies. These search strategies are relevant to the general research community, because they use the Medical Query Language (MQL) developed for the COSTAR M database which is extremely flexible (much more so than SQL) and allows searches by coded fields, text reports, and laboratory values in a completely ad hoc fashion. By reviewing these search strategies, we were able to obtain user specifications for a research oriented healthcare data warehouse that could support 90% of the queries. The data warehouse was implemented in a relational database using the star schema, allowing for highly optimized analytical processing. This allowed queries that performed slowly in the M database to be performed very rapidly in the relational database. It also allowed the data warehouse to scale effectively.

  19. 医疗数据仓库的研究%Research of Hospital Data Warehouse

    Institute of Scientific and Technical Information of China (English)

    赵云; 丘文峰; 郭扬帆; 尚文刚

    2011-01-01

    按照数据仓库生命周期的规律.依托我院现有的HIS系统.以医疗费用为主题构建医疗数据仓库.本文从建库的业务需求获取、数据模型的建立及数据仓库系统的实现等方面,介绍了建库的方法和步骤.该方法对其他医院建立数据仓库也有借鉴作用.%Started with data circle of data warehouse life梒ycle and combined with hospital data warehouse,we give some examples of hospital expense data. In this paper, the system demand obtains,data model builds, the system of ETL design and data warehouse system's achievement were investigated and a number of methods and procedure were provided. The result indicated that the method could guide us building data warehouse.

  20. Opportunities for Energy Efficiency and Automated Demand Response in Industrial Refrigerated Warehouses in California

    Energy Technology Data Exchange (ETDEWEB)

    Lekov, Alex; Thompson, Lisa; McKane, Aimee; Rockoff, Alexandra; Piette, Mary Ann

    2009-05-11

    This report summarizes the Lawrence Berkeley National Laboratory's research to date in characterizing energy efficiency and open automated demand response opportunities for industrial refrigerated warehouses in California. The report describes refrigerated warehouses characteristics, energy use and demand, and control systems. It also discusses energy efficiency and open automated demand response opportunities and provides analysis results from three demand response studies. In addition, several energy efficiency, load management, and demand response case studies are provided for refrigerated warehouses. This study shows that refrigerated warehouses can be excellent candidates for open automated demand response and that facilities which have implemented energy efficiency measures and have centralized control systems are well-suited to shift or shed electrical loads in response to financial incentives, utility bill savings, and/or opportunities to enhance reliability of service. Control technologies installed for energy efficiency and load management purposes can often be adapted for open automated demand response (OpenADR) at little additional cost. These improved controls may prepare facilities to be more receptive to OpenADR due to both increased confidence in the opportunities for controlling energy cost/use and access to the real-time data.

  1. VHA Corporate Data Warehouse height and weight data: opportunities and challenges for health services research.

    Science.gov (United States)

    Noël, Polly Hitchcock; Copeland, Laurel A; Perrin, Ruth A; Lancaster, A Elizabeth; Pugh, Mary Jo; Wang, Chen-Pin; Bollinger, Mary J; Hazuda, Helen P

    2010-01-01

    Within the Veterans Health Administration (VHA), anthropometric measurements entered into the electronic medical record are stored in local information systems, the national Corporate Data Warehouse (CDW), and in some regional data warehouses. This article describes efforts to examine the quality of weight and height data within the CDW and to compare CDW data with data from warehouses maintained by several of VHA's regional groupings of healthcare facilities (Veterans Integrated Service Networks [VISNs]). We found significantly fewer recorded heights than weights in both the CDW and VISN data sources. In spite of occasional anomalies, the concordance in the number and value of records in the CDW and the VISN warehouses was generally 97% to 99% or greater. Implausible variation in same-day and same-year heights and weights was noted, suggesting measurement or data-entry errors. Our work suggests that the CDW, over time and through validation, has become a generally reliable source of anthropometric data. Researchers should assess the reliability of data contained within any source and apply strategies to minimize the impact of data errors appropriate to their study population.

  2. Managing warehouse efficiency and worker discomfort through enhanced storage assignment decisions

    NARCIS (Netherlands)

    Larco, José Antonio; De Koster, René; Roodbergen, Kees Jan; Dul, Jan

    2017-01-01

    Humans are at the heart of crucial processes in warehouses. Besides the common economic goal of minimizing cycle times, we therefore add in this paper the human well-being goal of minimizing workers' discomfort in the context of order picking. We propose a methodology for identifying the most suitab

  3. Design Criteria in Revitalizing Old Warehouse District on the Kalimas Riverbank Area of Surabaya City

    Directory of Open Access Journals (Sweden)

    Endang Titi Sunarti Darjosanjoto

    2015-09-01

    Full Text Available Neglected warehouse buildings along the Kalimas River have created a poor urban façade in terms of visual quality. However the city government is planning to encourage tourism activities that take advantage of Kalimas River and its surrounding environment. If there is no good plan in accordance with the concept of local identity for old city of Surabaya, it will reduce it as a tourist attraction. In reference to the issue above, design criteria needs to be compiled for revitalizing the old warehouse district, which is expected to revive the identity of this district and be able to support the city’s tourism. This study was conducted by recording field observations, and the data was analyzed using the character appraisal method. The character appraisal analysis method is presented in the form of street picture data, which is divided into determined segments. The results show that there are five components including place attachment, sustainable urban design, green open space design, ecological riverfront design, and activity support that should be considered in the revitalization of the warehouse district. Those components are divided into two parts: building and open space at the riverbank. There are 13 design criteria for building at the riverbank, while there are 14 design criteria for open space at the riverbank. These design criteria can enrich the warehouse district’s revitalization by improving the visual quality of the urban environment.

  4. Estudo de Viabilidade de uma Plataforma de Baixo Custo para Data Warehouse

    CERN Document Server

    de Almeida, Eduardo Cunha

    2011-01-01

    Often corporations need tools to improve their decision making in a competitive market. In general, these tools are based on data warehouse platforms to mange and analyze large amounts of data. However, several of these corporations do not have enough resources to buy such platforms because of the high cost. This work is dedicated to a feasibility study of a low cost platform to data warehouse. We consider as a low cost platform the use of open source software like the PostgreSQL database system and the GNU/Linux operational system. We verify the feasibility of this platform by executing two benchmarks that simulate a data warehouse workload. The workload reproduces a multi-user environment with the execution of complex queries, which executes: aggregations, nested sub queries, multi joins, in-line views and more. Considering the results we were able to highlight some problems on the PostgreSQL database system, and discuss improvements in the context of data warehouse.

  5. Microsoft Enterprise Consortium: A Resource for Teaching Data Warehouse, Business Intelligence and Database Management Systems

    Science.gov (United States)

    Kreie, Jennifer; Hashemi, Shohreh

    2012-01-01

    Data is a vital resource for businesses; therefore, it is important for businesses to manage and use their data effectively. Because of this, businesses value college graduates with an understanding of and hands-on experience working with databases, data warehouses and data analysis theories and tools. Faculty in many business disciplines try to…

  6. 48 CFR 52.247-40 - Ex Dock, Pier, or Warehouse, Port of Importation.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Ex Dock, Pier, or... Provisions and Clauses 52.247-40 Ex Dock, Pier, or Warehouse, Port of Importation. As prescribed in 47.303-12(c), insert the following clause in solicitations and contracts when the delivery term is ex dock...

  7. The Microsoft Data Warehouse Toolkit With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

    CERN Document Server

    Mundy, Joy; Kimball, Ralph

    2011-01-01

    Best practices and invaluable advice from world-renowned data warehouse expertsIn this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming "Business Intelligence release" of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most

  8. Criticality calculation of the nuclear material warehouse of the ININ; Calculo de criticidad del almacen del material nuclear del ININ

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, T.; Angeles, A.; Flores C, J., E-mail: teodoro.garcia@inin.gob.mx [ININ, Carretera Mexico-Toluca s/n, 52750 Ocoyoacac, Estado de Mexico (Mexico)

    2013-10-15

    In this work the conditions of nuclear safety were determined as much in normal conditions as in the accident event of the nuclear fuel warehouse of the reactor TRIGA Mark III of the Instituto Nacional de Investigaciones Nucleares (ININ). The warehouse contains standard fuel elements Leu - 8.5/20, a control rod with follower of standard fuel type Leu - 8.5/20, fuel elements Leu - 30/20, and the reactor fuel Sur-100. To check the subcritical state of the warehouse the effective multiplication factor (keff) was calculated. The keff calculation was carried out with the code MCNPX. (Author)

  9. SUPERFICIAL TALKING ABOUT THE TECHNIQUE OF DATA WAREHOUSE%浅谈数据仓库技术

    Institute of Scientific and Technical Information of China (English)

    王泽明

    2001-01-01

    本文叙述了数据仓库(DW:Data Warehouse)的定义、基本特性与结构,以及数据仓库在决策系统(DSS:Decision Support System)中的应用,并展望了该技术的发展前景。%This paper describe the definite, basic feature and structure of warehouse, and the applica tion of data warehouse in decision support system, and expect the developing foreground of the technique.

  10. Design of Mobile Intelligent Warehouse Management System%移动智能仓储管理系统设计

    Institute of Scientific and Technical Information of China (English)

    毕晓东

    2014-01-01

    针对目前企业仓储管理效率较低等问题,提出采用Android技术开发基于智能终端的移动仓储管理系统设计框架,以提高仓储管理效率,简化管理流程。%For the current business issues such as inefficient warehouse management ,proposes the use of Android technol-ogy to develop mobile warehouse management system framework based on intelligent terminals ,in order to improve the ef-ficiency of warehouse management ,streamline management processes .

  11. Design of a Multi Dimensional Database for the Archimed DataWarehouse.

    Science.gov (United States)

    Bréant, Claudine; Thurler, Gérald; Borst, François; Geissbuhler, Antoine

    2005-01-01

    The Archimed data warehouse project started in 1993 at the Geneva University Hospital. It has progressively integrated seven data marts (or domains of activity) archiving medical data such as Admission/Discharge/Transfer (ADT) data, laboratory results, radiology exams, diagnoses, and procedure codes. The objective of the Archimed data warehouse is to facilitate the access to an integrated and coherent view of patient medical in order to support analytical activities such as medical statistics, clinical studies, retrieval of similar cases and data mining processes. This paper discusses three principal design aspects relative to the conception of the database of the data warehouse: 1) the granularity of the database, which refers to the level of detail or summarization of data, 2) the database model and architecture, describing how data will be presented to end users and how new data is integrated, 3) the life cycle of the database, in order to ensure long term scalability of the environment. Both, the organization of patient medical data using a standardized elementary fact representation and the use of the multi dimensional model have proved to be powerful design tools to integrate data coming from the multiple heterogeneous database systems part of the transactional Hospital Information System (HIS). Concurrently, the building of the data warehouse in an incremental way has helped to control the evolution of the data content. These three design aspects bring clarity and performance regarding data access. They also provide long term scalability to the system and resilience to further changes that may occur in source systems feeding the data warehouse.

  12. Handling Imprecision in Qualitative Data Warehouse: Urban Building Sites Annoyance Analysis Use Case

    Science.gov (United States)

    Amanzougarene, F.; Chachoua, M.; Zeitouni, K.

    2013-05-01

    Data warehouse means a decision support database allowing integration, organization, historisation, and management of data from heterogeneous sources, with the aim of exploiting them for decision-making. Data warehouses are essentially based on multidimensional model. This model organizes data into facts (subjects of analysis) and dimensions (axes of analysis). In classical data warehouses, facts are composed of numerical measures and dimensions which characterize it. Dimensions are organized into hierarchical levels of detail. Based on the navigation and aggregation mechanisms offered by OLAP (On-Line Analytical Processing) tools, facts can be analyzed according to the desired level of detail. In real world applications, facts are not always numerical, and can be of qualitative nature. In addition, sometimes a human expert or learned model such as a decision tree provides a qualitative evaluation of phenomenon based on its different parameters i.e. dimensions. Conventional data warehouses are thus not adapted to qualitative reasoning and have not the ability to deal with qualitative data. In previous work, we have proposed an original approach of qualitative data warehouse modeling, which permits integrating qualitative measures. Based on computing with words methodology, we have extended classical multidimensional data model to allow the aggregation and analysis of qualitative data in OLAP environment. We have implemented this model in a Spatial Decision Support System to help managers of public spaces to reduce annoyances and improve the quality of life of the citizens. In this paper, we will focus our study on the representation and management of imprecision in annoyance analysis process. The main objective of this process consists in determining the least harmful scenario of urban building sites, particularly in dense urban environments.

  13. RFID Transformation Plan of Traditional Warehouse:A Case Study of One Shenzhen Mobile Warehouse%传统仓库RFID改造规划方案--以深圳移动某仓库为例

    Institute of Scientific and Technical Information of China (English)

    孟军齐

    2013-01-01

    The manual work, low means of information problems encountered by the article for conventional warehouses upgrade with the latest RFID systems to transform the warehouse, and in the article a detailed and feasible operational program is developed for the business operations of the warehouse. The accuracy and the efficiency of warehouse and inventory management is also greatly improved.%  该文章针对传统仓库遇到的手工作业,信息化手段低等问题,提出了用最新的RFID系统升级改造该仓库,对仓库的各项业务操作都制定了详细的、可行的操作方案,大大地提高了仓库的效率和库存管理的准确性。

  14. Multidimensional Analysis and Location Intelligence Application for Spatial Data Warehouse Hotspot in Indonesia using SpagoBI

    Science.gov (United States)

    Uswatun Hasanah, Gamma; Trisminingsih, Rina

    2016-01-01

    Spatial data warehouse refers to data warehouse which has a spatial component that represents the geographic location of the position or an object on the Earth's surface. Spatial data warehouse can be visualized in the form of a crosstab tables, graphs, and maps. Spatial data warehouse of hotspot in Indonesia has been constructed by researchers from FIRM NASA 2006-2015. This research develops multidimensional analysis module and location intelligence module using SpagoBI. The multidimensional analysis module is able to visualize online analytical processing (OLAP). The location intelligence module creates dynamic map visualization in map zone and map point. Map zone can display the different colors based on the number of hotspot in each region and map point can display different sizes of the point to represent the number of hotspots in each region. This research is expected to facilitate users in the presentation of hotspot data as needed.

  15. The Pediatrix BabySteps® Data Warehouse--a unique national resource for improving outcomes for neonates.

    Science.gov (United States)

    Spitzer, Alan R; Ellsbury, Dan; Clark, Reese H

    2015-01-01

    The Pediatrix Medical Group Clinical Data Warehouse represents a unique electronic data capture system for the assessment of outcomes, the management of quality improvement (CQI) initiatives, and the resolution of important research questions in the neonatal intensive care unit (NICU). This system is described in detail and the manner in which the Data Warehouse has been used to measure and improve patient outcomes through CQI projects and research is outlined. The Pediatrix Data Warehouse now contains more than 1 million patients, serving as an exceptional tool for evaluating NICU care. Examples are provided of how significant outcome improvement has been achieved and several papers are cited that have used the "Big Data" contained in the Data Warehouse for novel observations that could not be made otherwise.

  16. 基于 RFID 的仓库管理系统研究%Warehouse Management System Based on RFID

    Institute of Scientific and Technical Information of China (English)

    王亚青; 凌翔; 白小波

    2015-01-01

    针对传统仓库管理和条形码仓库管理存在的问题,以 RFID 技术为核心,设计基于 RFID 的仓库管理系统。文中综合介绍了 RFID 仓库管理系统的系统架构,主要功能说明,以及关键操作,诸如入库、出库相关流程的设计。%The traditional warehouse management and warehouse management problems barcode to RFID technology as the core,designed RFID -based warehouse management system.Integrated system architecture introduces RFID warehouse management system,the main functional description,and critical operations,such as storage,a library related to process design.

  17. WMS - Warehouse Management System: Benfeitorias Proporcionadas pela Implantação em um Centro Distribuidor e Atacadista

    National Research Council Canada - National Science Library

    Lévistone Fávero; Sabrina Nascimento; Suzete Antonieta Lizote; Miguel Angel Verdinelli

    2016-01-01

    ... implantação de um sistema WMS (WAREHOUSE MANAGEMENT SYSTEM) de gerenciamento de armazéns, em um centro distribuidor e atacadista do segmento de higiene pessoal e limpeza em Cordilheira Alta/SC...

  18. Comparing the Effectiveness of a Clinical Registry and a Clinical Data Warehouse for Supporting Clinical Trial Recruitment: A Case Study

    Science.gov (United States)

    Weng, Chunhua; Bigger, J Thomas; Busacca, Linda; Wilcox, Adam; Getaneh, Asqual

    2010-01-01

    This paper reports a case study comparing the relative efficiency of using a Diabetes Registry or a Clinical Data Warehouse to recruit participants for a diabetes clinical trial, TECOS. The Clinical Data Warehouse generated higher positive predictive accuracy (31% vs. 6.6%) and higher participant recruitment than the Registry (30 vs. 14 participants) in a shorter time period (59 vs. 74 working days). We identify important factors that increase clinical trial recruitment efficiency and lower cost. PMID:21347102

  19. Comparing the effectiveness of a clinical registry and a clinical data warehouse for supporting clinical trial recruitment: a case study.

    Science.gov (United States)

    Weng, Chunhua; Bigger, J Thomas; Busacca, Linda; Wilcox, Adam; Getaneh, Asqual

    2010-11-13

    This paper reports a case study comparing the relative efficiency of using a Diabetes Registry or a Clinical Data Warehouse to recruit participants for a diabetes clinical trial, TECOS. The Clinical Data Warehouse generated higher positive predictive accuracy (31% vs. 6.6%) and higher participant recruitment than the Registry (30 vs. 14 participants) in a shorter time period (59 vs. 74 working days). We identify important factors that increase clinical trial recruitment efficiency and lower cost.

  20. Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

    Science.gov (United States)

    Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

    2008-11-06

    In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

  1. Analisis dan Perancangan Data Warehouse untuk Penjualan, Identifikasi Status Distributor, dan Perpanjangan Masa Aktif Distributor pada PT Harmoni Dinamik Indonesia

    Directory of Open Access Journals (Sweden)

    Gredion Prajena

    2013-06-01

    Full Text Available The purpose of this study is to analyze sales data from warehouse to distributors, identification of distributor status, and extension periods of active distributors. From the analysis, a data warehouse application is created with user interfaces that are easy to understand so as it can facilitate executive decision making. The analysis is done through the following steps: survey of the running system, analysis of the data obtained from the survey, identification of the information needed for data warehouse creation and identification requirements of the system to be built. Meanwhile, designing a data warehouse uses the Nine-Step Methodology of Ralph Kimball. The result is a data warehouse containing relevant and required information for executives to make decisions. The data warehouse application displays information to the user interface that is easy to understand and quick in making the report. The data needed by the company have been analyzed and produce useful information for executives. In addition, the reports can be generated quickly and the results of the analysis shown in the form of charts and pivot facilitate decision making more rapidly and precisely.

  2. Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment

    Directory of Open Access Journals (Sweden)

    Yadav Dharmendra

    2012-01-01

    Full Text Available Multi-item inventory model for deteriorating items with stock dependent demand under two-warehouse system is developed in fuzzy environment (purchase cost, investment amount and storehouse capacity are imprecise under inflation and time value of money. For display and storage, the retailers hire one warehouse of finite capacity at market place, treated as their own warehouse (OW, and another warehouse of imprecise capacity which may be required at some place distant from the market, treated as a rented warehouse (RW. Joint replenishment and simultaneous transfer of items from one warehouse to another is proposed using basic period (BP policy. As some parameters are fuzzy in nature, objective (average profit functions as well as some constraints are imprecise in nature, too. The model is formulated so to optimize the possibility/necessity measure of the fuzzy goal of the objective functions, and the constraints satisfy some pre-defined necessity. A genetic algorithm (GA is used to solve the model, which is illustrated on a numerical example.

  3. Application of Data Warehouse in Real Life: State-of-the-art Survey from User Preferences’ Perspective

    Directory of Open Access Journals (Sweden)

    Muhammad Bilal Shahid

    2016-04-01

    Full Text Available In recent years, due to increase in data complexity and manageability issues, data warehousing has attracted a great deal of interest in real life applications especially in business, finance, healthcare and industries. As the importance of retrieving the information from knowledge-base cannot be denied, data warehousing is all about making the information available for decision making. Data warehouse is accepted as the heart of the latest decision support systems. Due to the eagerness of data warehouse in real life, the need for the design and implementation of data warehouse in different applications is becoming crucial. Information from operational data sources are integrated by data warehousing into a central repository to start the process of analysis and mining of integrated information and primarily used in strategic decision making by means of online analytical processing techniques (OLAP. Despite the applications of data warehousing techniques in number of areas, there is no comprehensive literature review for it. This survey paper is an effort to present the applications of data warehouse in real life. It focuses to help the scholars knowing the analysis of data warehouse applications in number of domains. This survey provides applications, case studies and analysis of data warehouse used in various domains based on user preferences.

  4. Two-warehouse partial backlogging inventory model for deteriorating items with linear trend in demand under inflationary conditions

    Science.gov (United States)

    Jaggi, Chandra K.; Khanna, Aditi; Verma, Priyanka

    2011-07-01

    In today's business transactions, there are various reasons, namely, bulk purchase discounts, re-ordering costs, seasonality of products, inflation induced demand, etc., which force the buyer to order more than the warehouse capacity. Such situations call for additional storage space to store the excess units purchased. This additional storage space is typically a rented warehouse. Inflation plays a very interesting and significant role here: It increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organisation prefers to keep a higher inventory, thereby increasing the aggregate demand. This additional inventory needs additional storage space, which is facilitated by a rented warehouse. Ignoring the effects of the time value of money and inflation might yield misleading results. In this study, a two-warehouse inventory model with linear trend in demand under inflationary conditions having different rates of deterioration has been developed. Shortages at the owned warehouse are also allowed subject to partial backlogging. The solution methodology provided in the model helps to decide on the feasibility of renting a warehouse. Finally, findings have been illustrated with the help of numerical examples. Comprehensive sensitivity analysis has also been provided.

  5. Perancangan Model Data Warehouse dan Perangkat Analitik untuk Memaksimalkan Proses Pemasaran Hotel: Studi Kasus pada Hotel ABC

    Directory of Open Access Journals (Sweden)

    Eka Miranda

    2013-05-01

    Full Text Available The increasing competition in hotel business forces every hotel to be equipped with analysis tools that can maximize its marketing performance. This paper discusses the development of a data warehouse model and analytic tools to enhance the company"s competitive advantage through the utilization of a variety of data, information and knowledge held by the company as a raw material in the decision making process. A study is done at ABC Hotel which uses a database to save the transactional record. However, the database cannot be directly used to support analysis and decision-making process. Based on this issue, the company needs a data warehouse model and analytic tools that can be used to store large amounts of data and also potentially to gain a new perspective of data distribution which allows to provide reporting and answers of ad hoc users questions and assist managers in making decisions. Further data warehouse model and analytic tools can be used to help manager to formulate planning and marketing strategies. Data are collected through interviews and literature study, followed by data analysis to analyze business processes, to identify the problems and the information to support analysis process. Furthermore, data warehouse is designed using analysis of records related to the activities in hotel"s marketing area and data warehouse model. The result of this paper is data warehouse model and analytic tools to analyze the external and transactional data and to support decision-making process in marketing area.

  6. [Construction and realization of real world integrated data warehouse from HIS on re-evaluation of post-maketing traditional Chinese medicine].

    Science.gov (United States)

    Zhuang, Yan; Xie, Bangtie; Weng, Shengxin; Xie, Yanming

    2011-10-01

    To construct real world integrated data warehouse on re-evaluation of post-marketing traditional Chinese medicine for the research on key techniques of clinic re-evaluation which mainly includes indication of traditional Chinese medicine, dosage usage, course of treatment, unit medication, combined disease and adverse reaction, which provides data for reviewed research on its safety,availability and economy,and provides foundation for perspective research. The integrated data warehouse extracts and integrate data from HIS by information collection system and data warehouse technique and forms standard structure and data. The further research is on process based on the data. A data warehouse and several sub data warehouses were built, which focused on patients' main records, doctor orders, diseases diagnoses, laboratory results and economic indications in hospital. These data warehouses can provide research data for re-evaluation of post-marketing traditional Chinese medicine, and it has clinical value. Besides, it points out the direction for further research.

  7. Query-Optimization Based Virtual Data Warehouse Model%基于查询优化的虚拟数据仓库模型

    Institute of Scientific and Technical Information of China (English)

    徐强; 李文烨; 顾毓清

    2003-01-01

    The technology of virtual data warehouses catches more and more interests of people. In this paper,aQuery-Optimization Based Virtual Data Warehouse (QVDW)model is presented,which not only has all the advantagesthat a virtual data warehouse has,but also can change bottom layer data structures and the model itself according tousers' various query requests. The aim is to offer customized service to OLAP (on-line analysis processing)users.

  8. Vision based Object Recognition of E-Puck Mobile Robot for Warehouse Application

    Directory of Open Access Journals (Sweden)

    Mehmet S. Guzel

    2015-02-01

    Full Text Available At present, most warehouses still require human services for unloading of goods. Unloading of goods requires a continuous system to ensure the quality of work productivity. Therefore the need of autonomous robot system in warehouse is needed to improve the quality of work. Thus, a localization and recognition algorithm is developed and implemented on the E-puck robot. The task involves the recognition of desired object based on their colour (red and blue and locating the desired object to the target location (marked by green marker. In addition, the collision avoidance algorithm is also developed and integrated to allow the robot manoeuvre safely in its working environment. The colour histogram technique is used to recognize the desired object and the target location. Based on the experimental results, the developed algorithm is successfully fulfilling the pick and place requirement with success rate of approximately 70% in simulation study and 50% in real implementation.

  9. Analysis of Relationship between Levofloxacin and Corrected QT Prolongation Using a Clinical Data Warehouse.

    Science.gov (United States)

    Park, Man Young; Kim, Eun Yeob; Lee, Young Ho; Kim, Woojae; Kim, Ku Sang; Sheen, Seung Soo; Lim, Hong Seok; Park, Rae Woong

    2011-03-01

    The aim of this study was to examine whether or not levofloxacin has any relationship with QT prolongation in a real clinical setting by analyzing a clinical data warehouse of data collected from different hospital information systems. Electronic prescription data and medical charts from 3 different hospitals spanning the past 9 years were reviewed, and a clinical data warehouse was constructed. Patients who were both administrated levofloxacin and given electrocardiograms (ECG) were selected. The correlations between various patient characteristics, concomitant drugs, corrected QT (QTc) prolongation, and the interval difference in QTc before and after levofloxacin administration were analyzed. A total of 2,176 patients from 3 different hospitals were included in the study. QTc prolongation was found in 364 patients (16.7%). The study revealed that age (OR 1.026, p data seem to be essential to adverse drug reaction surveillance in future.

  10. An Advanced Data Warehouse for Integrating Large Sets of GPS Data

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Thomsen, Christian

    2014-01-01

    GPS data recorded from driving vehicles is available from many sources and is a very good data foundation for answering traffic related queries. However, most approaches so far have not considered combining GPS data from many sources into a single data warehouse. Further, the integration of GPS...... data with fuel consumption data (from the so-called CAN bus in the vehicles) and weather data has not been done. In this paper, we propose a data warehouse design for handling GPS data, fuel consumption data, and weather data. The design is fully implemented in a running system using the Postgre......SQL DBMS. The system has been in production since March 2011 and the main fact table contains today approximately 3.4 billion rows from 16 different data sources. We show that the system can be used for a number of novel traffic related analyses such as relating the fuel consumption of vehicles...

  11. Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives.

    Science.gov (United States)

    Chelico, John D; Wilcox, Adam B; Vawdrey, David K; Kuperman, Gilad J

    2016-01-01

    Clinical data warehouses, initially directed towards clinical research or financial analyses, are evolving to support quality improvement efforts, and must now address the quality improvement life cycle. In addition, data that are needed for quality improvement often do not reside in a single database, requiring easier methods to query data across multiple disparate sources. We created a virtual data warehouse at NewYork Presbyterian Hospital that allowed us to bring together data from several source systems throughout the organization. We also created a framework to match the maturity of a data request in the quality improvement life cycle to proper tools needed for each request. As projects progress in the Define, Measure, Analyze, Improve, Control stages of quality improvement, there is a proper matching of resources the data needs at each step. We describe the analysis and design creating a robust model for applying clinical data warehousing to quality improvement.

  12. Data warehouse model for monitoring key performance indicators (KPIs) using goal oriented approach

    Science.gov (United States)

    Abdullah, Mohammed Thajeel; Ta'a, Azman; Bakar, Muhamad Shahbani Abu

    2016-08-01

    The growth and development of universities, just as other organizations, depend on their abilities to strategically plan and implement development blueprints which are in line with their vision and mission statements. The actualizations of these statements, which are often designed into goals and sub-goals and linked to their respective actors are better measured by defining key performance indicators (KPIs) of the university. The proposes ReGADaK, which is an extended the GRAnD approach highlights the facts, dimensions, attributes, measures and KPIs of the organization. The measures from the goal analysis of this unit serve as the basis of developing the related university's KPIs. The proposed data warehouse schema is evaluated through expert review, prototyping and usability evaluation. The findings from the evaluation processes suggest that the proposed data warehouse schema is suitable for monitoring the University's KPIs.

  13. A methodical and adaptive framework for Data Warehouse of Salary Management System

    Directory of Open Access Journals (Sweden)

    Manzoor Ahmad

    2015-11-01

    Full Text Available Years of experience as an employee of University of Kashmir has always desired us to have a typical solution where most of the activities related to salary are fully automated without checking across the files whenever there is a need e.g. individual month‟s salary report , web based information submission, filing of returns , increment information etc. After thorough analysis , taking employee satisfaction , sensitivity and security of data , a long term solution was to develop a centralized University salary management system and its data warehouse . In this paper the design and implementation of an adaptive data warehouse is presented which supports large volume of data and saves the cost effectively. It also enable decision makers pose queries and question to the system. However decision support systems only support a set of queries and operations that are to be performed.

  14. BioDWH: a data warehouse kit for life science data integration.

    Science.gov (United States)

    Töpel, Thoralf; Kormeier, Benjamin; Klassen, Andreas; Hofestädt, Ralf

    2008-08-25

    This paper presents a novel bioinformatics data warehouse software kit that integrates biological information from multiple public life science data sources into a local database management system. It stands out from other approaches by providing up-to-date integrated knowledge, platform and database independence as well as high usability and customization. This open source software can be used as a general infrastructure for integrative bioinformatics research and development. The advantages of the approach are realized by using a Java-based system architecture and object-relational mapping (ORM) technology. Finally, a practical application of the system is presented within the emerging area of medical bioinformatics to show the usefulness of the approach. The BioDWH data warehouse software is available for the scientific community at http://sourceforge.net/projects/biodwh/.

  15. A methodical and adaptive framework for Data Warehouse of Salary Management System

    Directory of Open Access Journals (Sweden)

    Manzoor Ahmad

    2014-06-01

    Full Text Available Years of experience as an employee of University of Kashmir has always desired us to have a typical solution where most of the activities related to salary are fully automated without checking across the files whenever there is a need e.g. individual month‟s salary report , web based information submission, filing of returns , increment information etc. After thorough analysis , taking employee satisfaction , sensitivity and security of data , a long term solution was to develop a centralized University salary management system and its data warehouse . In this paper the design and implementation of an adaptive data warehouse is presented which supports large volume of data and saves the cost effectively. It also enable decision makers pose queries and question to the system. However decision support systems only support a set of queries and operations that are to be performed.

  16. Small Warehouse Management System%小型仓库管理系统

    Institute of Scientific and Technical Information of China (English)

    赵艳锋

    2013-01-01

    本系统主要完成对零部件仓库的库存管理,包括零部件的入库、出库、库存,供应商信息以及密码管理等五个方面。系统可以完成对各类信息的浏览、查询、添加、删除、修改、报表等功能。%This system completes the stock management for parts warehouse primarily, including putting the parts into stores in warehouse, delivering of it from storage,the storage, supplier information and password management etc. The sys-tem can complete the view of various information, search, increase, deleting, modifing, statement etc.

  17. Developing Access Control Model of Web OLAP over Trusted and Collaborative Data Warehouses

    Science.gov (United States)

    Fugkeaw, Somchart; Mitrpanont, Jarernsri L.; Manpanpanich, Piyawit; Juntapremjitt, Sekpon

    This paper proposes the design and development of Role- based Access Control (RBAC) model for the Single Sign-On (SSO) Web-OLAP query spanning over multiple data warehouses (DWs). The model is based on PKI Authentication and Privilege Management Infrastructure (PMI); it presents a binding model of RBAC authorization based on dimension privilege specified in attribute certificate (AC) and user identification. Particularly, the way of attribute mapping between DW user authentication and privilege of dimensional access is illustrated. In our approach, we apply the multi-agent system to automate flexible and effective management of user authentication, role delegation as well as system accountability. Finally, the paper culminates in the prototype system A-COLD (Access Control of web-OLAP over multiple DWs) that incorporates the OLAP features and authentication and authorization enforcement in the multi-user and multi-data warehouse environment.

  18. Analysis of yearly variations in drug expenditure for one patient using data warehouse in a hospital.

    Science.gov (United States)

    Chen, Yufeng; Matsumura, Yasushi; Nakagawa, Katsuhiko; Ji, Shanmei; Nakano, Hirohiko; Teratani, Tadamasa; Zhang, Qiyan; Mineno, Takahiro; Takeda, Hiroshi

    2007-02-01

    Medical expense has grown rapidly in Japan. It could be caused by the increase of the patient number and the increase of medical expense per patient. We studied the latter factor on drug expenditure from 1996 to 2002 using the prescription data stored in the data warehouse of one hospital. We found that the drug expenditure per patient had increased 1.32 times. The mean number of prescriptions per patient increased 1.23 times and the mean expenditure of one medicine increased 1.08 times. These results demonstrated that drug expenditure for one patient had gradually increased. This was caused by both the rise in the number of medicines taken by one patient and the rise in the prices of medicines. The data warehouse in the hospital was useful for the analysis of the trends in medical expenditure for one patient.

  19. A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses

    Science.gov (United States)

    Bellatreche, Ladjel; Benkrid, Soumia

    Traditionally, designing a parallel data warehouse consists first in fragmenting its schema and then allocating the generated fragments over the nodes of the parallel machine. The main drawback of this approach is that interdependency between fragmentation and allocation processes is not taken into account during the design phase. This interdependency is characterized by the fact that generated of fragments are one of the inputs of the allocation problem and both processes optimize the same set of queries. In this paper, we present a new approach for designing parallel relational data warehouses on a shared nothing machine, where the fragmentation and the allocation are done simultaneously. To allocate efficiently query workload over nodes, a load balancing method is given. Finally, a validation of our proposals is presented.

  20. Intelligent Storage and Retrieval Systems Based on RFID and Vision in Automated Warehouse

    Directory of Open Access Journals (Sweden)

    Yinghua Xue

    2012-02-01

    Full Text Available The automated warehouse is widely used in different kinds of corporations aiming to improve the storage and retrieval efficiency. In this paper, the robot system with RFID and vision was applied into the design of warehouses. Firstly, the RFID system is used to localize the target roughly and obtain the attributes of the target. Then the onboard vision system is used to recognize and locate the target precisely. Finally, the robot control scheme is designed based on the results of image processing, and the teaching mode and remote mode are used flexibly to assist robot to grasp the target. The combination of these two modes can not only reduce the complexity of robot control, but also can make full use of the results of image processing. Experiments demonstrate the feasibility of the proposed system.

  1. Principles of Creating Data Warehouses in Decision Support Systems of Railway Transport

    Science.gov (United States)

    Kopytov, Eugene; Demidovs, Vasilijs; Petoukhova, Natalia

    2004-08-01

    The basic aspect of operation of any transport company is connected with the freight and passenger traffic. Any mistakes in the planning of any transportation process result in a considerable decrease of the efficiency of a company's operation and of the quality of customers' service. The search of the effective solutions of the future system functioning on the railway should be based on the forecast of a great number of economic, social and technical characteristics of transport processes. For this purpose it is necessary to create up-to-date Data Warehouse, which can store large amounts of information to be used for prediction. The questions of reliability and completeness of source data as well as the account of their temporal nature and the possibility of their flexible usage present the foreground of such systems. The present paper presents a new approach to creating Data Warehouses in the Decision Support Systems.

  2. Two warehouse inventory policy with price dependent demand and deterioration under partial backlogging

    Directory of Open Access Journals (Sweden)

    Mohit Rastogi

    2017-01-01

    Full Text Available In today’s era of higher competition in the business, there are many conditions such as offered concession in bulk purchasing, seasonality, higher ordering cost, etc., which force a retailer to purchase more quantities than needed or exceed the storage capacity. So in this situation the retailer has to purchase an extra warehouse named as rented warehouse to stock the extra quantity. In this paper an inventory model for deteriorating products with selling price dependent rate is developed. The occurring shortages are assumed to be partially backlogged and cycle time is also variable. The purpose of the development of this model is to compute the amount and time of order which can optimize the total average cost of the system. A solution procedure and numerical example are presented to illustrate the implementation of the proposed study. Sensitivity analysis concerning with distinct system parameters is also presented to demonstrate the model.

  3. Expert System Models for Forecasting Forklifts Engagement in a Warehouse Loading Operation: A Case Study

    Directory of Open Access Journals (Sweden)

    Dejan Mirčetić

    2016-08-01

    Full Text Available The paper focuses on the problem of forklifts engagement in warehouse loading operations. Two expert system (ES models are created using several machine learning (ML models. Models try to mimic expert decisions while determining the forklifts engagement in the loading operation. Different ML models are evaluated and adaptive neuro fuzzy inference system (ANFIS and classification and regression trees (CART are chosen as the ones which have shown best results for the research purpose. As a case study, a central warehouse of a beverage company was used. In a beverage distribution chain, the proper engagement of forklifts in a loading operation is crucial for maintaining the defined customer service level. The created ES models represent a new approach for the rationalization of the forklifts usage, particularly for solving the problem of the forklifts engagement incargo loading. They are simple, easy to understand, reliable, and practically applicable tool for deciding on the engagement of the forklifts in a loading operation.

  4. An Advanced Data Warehouse for Integrating Large Sets of GPS Data

    DEFF Research Database (Denmark)

    Andersen, Ove; Krogh, Benjamin Bjerre; Thomsen, Christian

    2014-01-01

    GPS data recorded from driving vehicles is available from many sources and is a very good data foundation for answering traffic related queries. However, most approaches so far have not considered combining GPS data from many sources into a single data warehouse. Further, the integration of GPS...... data with fuel consumption data (from the so-called CAN bus in the vehicles) and weather data has not been done. In this paper, we propose a data warehouse design for handling GPS data, fuel consumption data, and weather data. The design is fully implemented in a running system using the Postgre......SQL DBMS. The system has been in production since March 2011 and the main fact table contains today approximately 3.4 billion rows from 16 different data sources. We show that the system can be used for a number of novel traffic related analyses such as relating the fuel consumption of vehicles...

  5. FUZZY MULTI-LEVEL WAREHOUSE LAYOUT PROBLEM: NEW MODEL AND ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    Lixing YANG; Yuan FENG

    2006-01-01

    This paper deals with a multi-level warehouse layout problem under fuzzy environment, in which different types of items need to be placed in a multi-level warehouse and the monthly demand of each item type and horizontal distance traveled by clamp track are treated as fuzzy variables. In order to minimize the total transportation cost, chance-constrained programming model is designed for the problem based on the credibility measure and then tabu search algorithm based on the fuzzy simulation is designed to solve the model. Some mathematical properties of the model are also discussed when the fuzzy variables are interval fuzzy numbers or trapezoidal fuzzy numbers. Finally, a numerical example is presented to show the efficiency of the algorithm.

  6. Some Considerations Regarding the Design and Implementation of Data Warehouse in Insurance Broker Management

    Directory of Open Access Journals (Sweden)

    Alexandru Manole

    2015-09-01

    Full Text Available This paper describes a proposal for a data warehouse model, designed for the use in the management of insurance brokerage companies. The model aims to provide information to the leadership of such companies, beyond the classical knowledge drawn from current activity reports. Also, the design process took into consideration the characteristics of the business model analysed. The model is then “exploited” by making some analyses on the data loaded.

  7. A Multi-Agent Approach for the Extract-Transform-Load Process Support in Data Warehouses

    OpenAIRE

    Daniel Betancur-Calderón; Julián Moreno-Cadavid

    2012-01-01

    In order to provide an adequate solution in terms of robustness and automation in the process of Extract-Transform-Load (ETL) in data warehouses, in this article a multi-agent model that gathers the strengths of other approaches like wrappers and ad-hoc solutions is presented. Such a model considers the heterogeneity and availability of the data sources as well as their distributed nature. For its validation an experiment was performed using simulated and real data, which demonstrated not onl...

  8. Division of environmentally sustainable solutions in warehouse management and example methods of their evaluation

    Directory of Open Access Journals (Sweden)

    Wiktor Żuchowski

    2015-06-01

    Full Text Available  Background: Environmentally sustainable solutions are entering the domain of logistics. More and more frequently do we hear of sustainable or "green" warehouses, although the scale and scope of implementations in specific investments is not incomparable, and the adjective "green" is added rather for marketing, not utility-related, purposes. Furthermore, it is difficult to confront implemented solutions differently than with the use of evaluations dedicated to broadly-understood sustainable buildings. In order to identify the solutions, it is necessary to prepare a key for their division first. Identification, classification, popularisation and, in the long-run, implementation of sustainable solutions in warehouse management requires them to be organised. Methods: On the basis of available information, chiefly primary and secondary sources, but also legal documentation developed in countries with high environmental awareness, materials which allow indicating the structure of division of sustainable solutions have been collected. The division has been prepared by means of analysing solutions, creating homogenous groups, and their further unification. The comparison of evaluations given to sustainable solutions has been prepared on the basis of information made available by certifying institutions. Results: Sustainable solutions have been divided into groups, although the division is not disjoint. Three basic groups of solutions (reducing harmful emissions, reducing consumption of resources, increasing ecological value of facilities have been distinguished. One is homogenous, the other two are divided into further subgroups.  Conclusions: Division of sustainable solutions and specification of particular groups are a basis for identification, qualification, popularisation and, in the long term, implementation of sustainable solutions for warehouse management, consequently leading to lower emission of greenhouse gases and resource consumption, and

  9. Archetype-based data warehouse environment to enable the reuse of electronic health record data.

    Science.gov (United States)

    Marco-Ruiz, Luis; Moner, David; Maldonado, José A; Kolstrup, Nils; Bellika, Johan G

    2015-09-01

    The reuse of data captured during health care delivery is essential to satisfy the demands of clinical research and clinical decision support systems. A main barrier for the reuse is the existence of legacy formats of data and the high granularity of it when stored in an electronic health record (EHR) system. Thus, we need mechanisms to standardize, aggregate, and query data concealed in the EHRs, to allow their reuse whenever they are needed. To create a data warehouse infrastructure using archetype-based technologies, standards and query languages to enable the interoperability needed for data reuse. The work presented makes use of best of breed archetype-based data transformation and storage technologies to create a workflow for the modeling, extraction, transformation and load of EHR proprietary data into standardized data repositories. We converted legacy data and performed patient-centered aggregations via archetype-based transformations. Later, specific purpose aggregations were performed at a query level for particular use cases. Laboratory test results of a population of 230,000 patients belonging to Troms and Finnmark counties in Norway requested between January 2013 and November 2014 have been standardized. Test records normalization has been performed by defining transformation and aggregation functions between the laboratory records and an archetype. These mappings were used to automatically generate open EHR compliant data. These data were loaded into an archetype-based data warehouse. Once loaded, we defined indicators linked to the data in the warehouse to monitor test activity of Salmonella and Pertussis using the archetype query language. Archetype-based standards and technologies can be used to create a data warehouse environment that enables data from EHR systems to be reused in clinical research and decision support systems. With this approach, existing EHR data becomes available in a standardized and interoperable format, thus opening a world

  10. Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse.

    Science.gov (United States)

    Lamer, Antoine; Jeanne, Mathieu; Ficheur, Grégoire; Marcilly, Romaric

    2016-01-01

    Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.

  11. Paving the Way for Warehouse Centralization in Healthcare: A Preliminary Assessment Approach

    OpenAIRE

    Grimaldi, Sabrina; Cagliano, Anna Corinna; Rafele, Carlo

    2016-01-01

    Centralized logistics management is currently one interesting option for healthcare systems facing an increasing need to improve responsiveness and service quality while reducing costs. This work focuses on one aspect of centralized logistics, namely warehouse centralization and proposes a preliminary approach to assess material management in healthcare institutions as a first step towards decisions about the implementation of such a strategy. A list of variables and relationships between the...

  12. Integrating Brazilian health information systems in order to support the building of data warehouses

    Directory of Open Access Journals (Sweden)

    Sergio Miranda Freire

    Full Text Available AbstractIntroductionThis paper's aim is to develop a data warehouse from the integration of the files of three Brazilian health information systems concerned with the production of ambulatory and hospital procedures for cancer care, and cancer mortality. These systems do not have a unique patient identification, which makes their integration difficult even within a single system.MethodsData from the Brazilian Public Hospital Information System (SIH-SUS, the Oncology Module for the Outpatient Information System (APAC-ONCO and the Mortality Information System (SIM for the State of Rio de Janeiro, in the period from January 2000 to December 2004 were used. Each of the systems has the monthly data production compiled in dbase files (dbf. All the files pertaining to the same system were then read into a corresponding table in a MySQL Server 5.1. The SIH-SUS and APAC-ONCO tables were linked internally and with one another through record linkage methods. The APAC-ONCO table was linked to the SIM table. Afterwards a data warehouse was built using Pentaho and the MySQL database management system.ResultsThe sensitivities and specificities of the linkage processes were above 95% and close to 100% respectively. The data warehouse provided several analytical views that are accessed through the Pentaho Schema Workbench.ConclusionThis study presented a proposal for the integration of Brazilian Health Systems to support the building of data warehouses and provide information beyond those currently available with the individual systems.

  13. User Profile-Driven Data Warehouse Summary for Adaptive OLAP Queries

    OpenAIRE

    Rym Khemiri; Fadila Bentayeb

    2013-01-01

    Data warehousing is an essential element of decision support systems. It aims at enabling the user knowledge to make better and faster daily business decisions. To improve this decision support system and to give more and more relevant information to the user, the need to integrate user's profiles into the data warehouse process becomes crucial. In this paper, we propose to exploit users' preferences as a basis for adapting OLAP (On-Line Analytical Processing) queries to the user. For this, w...

  14. A study of the age attribute in a query tool for a clinical data warehouse.

    Science.gov (United States)

    Scheufele, Elisabeth L; Scheufele, Elisabeth Lee; Dubey, Anil; Dubey, Anil Kumar; Murphy, Shawn N

    2008-11-06

    The RPDR, a clinical data warehouse with a user-friendly Querytool, allows researchers to perform studies on patient data. Currently, the RPDR represents age as the patient's age at the present time, which is problematic in situations where age at the time of the event is more appropriate. We will modify the Querytool to consider this by assessing the perception of age via survey, testing backend query solutions, and developing modifications based on these results.

  15. Health plan finds answers with data warehouse that stores 4,500 data elements.

    Science.gov (United States)

    1998-09-01

    A gold mine of information, not just for computer geeks: Pardon the stereotype, but managers of health care have also stereotyped the data warehouse--as more of an unwieldy behemoth. But at Blue Cross/Blue Shield of Tennessee, more than 200 users log on regularly. Quality management, HEDIS reporting, managed care contracting, provider profiling, utilization management, product management, and forecasting all have been made easier with this tool that allows operational data to become a gold mine of information.

  16. The role of warehouse receipt systems in enhanced commodity marketing and rural livelihoods in Africa

    OpenAIRE

    Coulter, J.; Onumah, G.

    2002-01-01

    Most African countries have, since the 1980s, liberalised agriculture without experiencing food crisis, as feared by sceptics, but the outcome of reforms has been rather disappointing and agricultural markets remain nderdeveloped and inefficient. One means to improve agricultural marketing, which is the focus of this paper, is to develop regulated warehouse receipt (WR) systems. The system will curtail cheating on weights and measures; ease access to finance at all levels in the marketing cha...

  17. Leveraging an existing data warehouse to annotate workflow models for operations research and optimization.

    Science.gov (United States)

    Borlawsky, Tara; LaFountain, Jeanne; Petty, Lynda; Saltz, Joel H; Payne, Philip R O

    2008-11-06

    Workflow analysis is frequently performed in the context of operations research and process optimization. In order to develop a data-driven workflow model that can be employed to assess opportunities to improve the efficiency of perioperative care teams at The Ohio State University Medical Center (OSUMC), we have developed a method for integrating standard workflow modeling formalisms, such as UML activity diagrams with data-centric annotations derived from our existing data warehouse.

  18. Improving daily workflow to improve insurance rejection handling by leveraging an existing data warehouse.

    Science.gov (United States)

    Ostrander, Michael; Parikh, Deval; Tennant, Mark

    2008-11-06

    The Ohio State University Medical Center (OSUMC) has developed a comprehensive Information Warehouse (IW), comprising data from all aspects of the academic medical center. By leveraging this data source, OSUMC was able to create an application combining Business Intelligence (BI) reporting, advanced worklisting, and distributed data management techniques. OSUMC was able to use this application to substantially improve the throughput of rejection handling, allowing more timely resolution without an increase in staff.

  19. The Influence of Education and Experience Upon Contextual and Task Performance in Warehouse Operations

    Science.gov (United States)

    2016-09-01

    this paper along with other mitigation strategies. The above research lead to the creation of a widely accepted model of human-error, the...Raman (2008) conducted research with a large electronics retailer and found that out of about 370,000 SKUs, more than 65% of the inventory records...IRI Solutions Inventory record accuracy continues to challenge the Air Force, many manufacturers, warehouses, and retailers . Researchers are still

  20. Algorithms for On-line Order Batching in an Order-Picking Warehouse

    OpenAIRE

    Sebastian Henn

    2009-01-01

    In manual order picking systems, order pickers walk or ride through a distribution warehouse in order to collect items required by (internal or external) customers. Order batching consists of combining these – indivisible – customer orders into picking orders. With respect to order batching, two problem types can be distinguished: In off-line (static) batching all customer orders are known in advance. In on-line (dynamic) batching customer orders become available dynamically over time. This r...

  1. Enhancements to a Guidance System for an Automated Warehouse Equipped with Mobile Robots

    Science.gov (United States)

    1990-09-01

    34 Robotica , Vol 4, Part 11 (April- June 1986), pp 93-1(0. Litton AGVs, brochure (Litton Industrial Automation Systems, Inc., Automated Vehicle...work was accom- plished under contract by the Department of Mechanical and Industrial Engineering at the University of Illinois at Urbana/Champaign, IL...implementation and industry involvement in producing the needed mobile robots will be based on the out- come of the field test. 10 2 DESIGN OF WAREHOUSE

  2. Optimal time policy for deteriorating items of two-warehouse inventory system with time and stock dependent demand and partial backlogging

    Indian Academy of Sciences (India)

    SHIV KUMAR; ABHAY KUMAR SINGH

    2016-05-01

    We consider the problem of a two-warehouse inventory system under the effect of stock dependent demand. There are two warehouses to store the goods in which the first is rented warehouse and the second is own warehouse that deteriorates with two different rates. The aim of this study is to determine the optimal order quantity to maximize the profit of the projected model. Finally, some numerical examples and sensitivity analysis of parameters are made to validate the results of the proposed model.

  3. Development of a Data Warehouse for Riverine and Coastal Flood Risk Management

    Science.gov (United States)

    McGrath, H.; Stefanakis, E.; Nastev, M.

    2014-11-01

    In New Brunswick flooding occurs typically during the spring freshet, though, in recent years, midwinter thaws have led to flooding in January or February. Municipalities are therefore facing a pressing need to perform risk assessments in order to identify communities at risk of flooding. In addition to the identification of communities at risk, quantitative measures of potential structural damage and societal losses are necessary for these identified communities. Furthermore, tools which allow for analysis and processing of possible mitigation plans are needed. Natural Resources Canada is in the process of adapting Hazus-MH to respond to the need for risk management. This requires extensive data from a variety of municipal, provincial, and national agencies in order to provide valid estimates. The aim is to establish a data warehouse to store relevant flood prediction data which may be accessed thru Hazus. Additionally, this data warehouse will contain tools for On-Line Analytical Processing (OLAP) and knowledge discovery to quantitatively determine areas at risk and discover unexpected dependencies between datasets. The third application of the data warehouse is to provide data for online visualization capabilities: web-based thematic maps of Hazus results, historical flood visualizations, and mitigation tools; thus making flood hazard information and tools more accessible to emergency responders, planners, and residents. This paper represents the first step of the process: locating and collecting the appropriate datasets.

  4. Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

    Directory of Open Access Journals (Sweden)

    Pelin Vardarlier

    2016-01-01

    Full Text Available Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

  5. PEMODELAN INTEGRASI NEARLY REAL TIME DATA WAREHOUSE DENGAN SERVICE ORIENTED ARCHITECTURE UNTUK MENUNJANG SISTEM INFORMASI RETAIL

    Directory of Open Access Journals (Sweden)

    I Made Dwi Jendra Sulastra

    2015-12-01

    Full Text Available Updates the data in the data warehouse is not traditionally done every transaction. Retail information systems require the latest data and can be accessed from anywhere for business analysis needs. Therefore, in this study will be made data warehouse model that is able to produce the information near real time, and can be accessed from anywhere by end users application. Modeling design integration of nearly real time data warehouse (NRTDWH with a service oriented architecture (SOA to support the retail information system is done in two stages. In the first stage will be designed modeling NRTDWH using Change Data Capture (CDC based Transaction Log. In the second stage will be designed modeling NRTDWH integration with SOA-based web service. Tests conducted by a simulation test applications. Test applications used retail information systems, web-based web service client, desktop, and mobile. Results of this study were (1 ETL-based CDC captures changes to the source table and then store it in the database NRTDWH with the help of a scheduler; (2 Middleware web service makes 6 service based on data contained in the database NRTDWH, and each of these services accessible and implemented by the web service client.

  6. Development of hospital data warehouse for cost analysis of DPC based on medical costs.

    Science.gov (United States)

    Muranaga, F; Kumamoto, I; Uto, Y

    2007-01-01

    To develop a data warehouse system for cost analysis, based on the categories of the diagnosis procedure combination (DPC) system, in which medical costs were estimated by DPC category and factors influencing the balance between costs and fees. We developed a data warehouse system for cost analysis using data from the hospital central data warehouse system. The balance data of patients who were discharged from Kagoshima University Hospital from April 2003 to March 2005 were determined in terms of medical procedure, cost per day and patient admission in order to conduct a drill-down analysis. To evaluate this system, we analyzed cash flow by DPC category of patients who were categorized as having malignant tumors and whose DPC category was reevaluated in 2004. The percentages of medical expenses were highest in patients with acute leukemia, non-Hodgkin's lymphoma, and particularly in patients with malignant tumors of the liver and intrahepatic bile duct. Imaging tests degraded the percentages of medical expenses in Kagoshima University Hospital. These results suggested that cost analysis by patient is important for hospital administration in the inclusive evaluation system using a case-mix index such as DPC.

  7. Can Leader–Member Exchange Contribute to Safety Performance in An Italian Warehouse?

    Directory of Open Access Journals (Sweden)

    Marco G. Mariani

    2017-05-01

    Full Text Available Introduction: The research considers safety climate in a warehouse and wants to analyze the Leader–Member Exchange (LMX role in respect to safety performance. Griffin and Neal’s safety model was adopted and Leader-Member Exchange was inserted as moderator in the relationships between safety climate and proximal antecedents (motivation and knowledge of safety performance constructs (compliance and participation.Materials and Methods: Survey data were collected from a sample of 133 full-time employees in an Italian warehouse. The statistical framework of Hayes (2013 was adopted for moderated mediation analysis.Results: Proximal antecedents partially mediated the relationship between Safety climate and safety participation, but not safety compliance. Moreover, the results from the moderation analysis showed that the Leader–Member Exchange moderated the influence of safety climate on proximal antecedents and the mediation exist only at the higher level of LMX.Conclusion: The study shows that the different aspects of leadership processes interact in explaining individual proficiency in safety practices.Practical Implications: Organizations as warehouses should improve the quality of the relationship between a leader and a subordinate based upon the dimensions of respect, trust, and obligation for high level of safety performance.

  8. Perancangan Data Warehouse dan Penerapan Teknik Clustering Spatial pada Wesel: Studi Kasus PT XXX

    Directory of Open Access Journals (Sweden)

    Arief Dwi Hartadi

    2013-06-01

    Full Text Available By setting up the right service and product for the customer, the company may increase its marketing effectiveness as well as sales. For that purpose, information on company’s product and sales is highly needed in order to help on decision making process, which expectedly enables company to create value and eventually gain competitive advantage. This research attempts to develop a Data warehouse for PT XXX, which is expected to exhibit useful information for the company without disturbing its operational system. The Data warehouse is developed with Oracle 11g. Apart from that, this research also aims to gather information and knowledge with spatial database. The data mining is conducted by using WEKA application, which compares the algorithm of DBSCAN, K-Means, and EM clustering. Data mining from the spatial data is expected to create area map which indicates sales rate of PT Pos Indonesia’s products. Through this it is hoped that the company may focus more in marketing certain product with particular advantage in one particular area to produce effectiveness. The research outcome indicates that the Data warehouse being developed has already managed to exhibit the receipt report of postal money order (wesel pos, retail stock, as well as retail sales. 

  9. Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

    Directory of Open Access Journals (Sweden)

    Pelin Vardarlier

    2016-01-01

    Full Text Available Big Data has recently been used for many purposes like medicine, marketing and sports. It has helped improve management decisions. However, for almost each case a unique data warehouse should be built to benefit from the merits of data mining and Big Data. Hence, each time we start from scratch to form and build a Big Data Warehouse. In this study, we propose a Big Data Warehouse and a model for universities to be used for information management, to be more specific gossip management. The overall model is a decision support system that may help university administraitons when they are making decisions and also provide them with information or gossips being circulated among students and staff. In the model, unsupervised machine learning algorithms have been employed. A prototype of the proposed system has also been presented in the study. User generated data has been collected from students in order to learn gossips and students’ problems related to school, classes, staff and instructors. The findings and results of the pilot study suggest that social media messages among students may give important clues for the happenings at school and this information may be used for management purposes.The model may be developed and implemented by not only universities but also some other organisations.

  10. Determining Reliable Networks of Prepositioning Materiel Warehouses for Public-Sector Rapid Response Supplies

    Directory of Open Access Journals (Sweden)

    Thomas E. Lang

    2016-01-01

    Full Text Available Events such as natural disasters or combat operations require a rapid response capability from humanitarian service providers and military organizations. Such organizations can decrease their response times through the prepositioning of materiel in forward warehouses, reducing the time needed to transport items to the site of need. A particular challenge to the development of networks of prepositioning warehouses is that the warehouses themselves may be impacted by the very disruptions that drive demands for prepositioned materials. The objective of this research is to identify a reliable network posture, which is a set of utilized facility locations and an allocation of materiel to those locations, that can satisfy time-sensitive delivery requirements to potential locations around the globe, ensuring that demands can be satisfied even in the event of loss of access to a subset of storage sites (along with said sites’ materiel, all at minimum total cost. We develop new optimization formulations to account for differing levels of network reliability, all reflecting the time-sensitive environment faced by rapid response operations. We demonstrate an application of this methodology using rapid response material prepositioned by the US Air Force.

  11. An integrated data-warehouse-concept for clinical and biological information.

    Science.gov (United States)

    Brammen, Dominik; Katzer, Christian; Röhrig, Rainer; Weismüller, Katja; Maier, Michael; Hossain, Hamid; Menges, Thilo; Hempelmann, Gunter; Chakraborty, Trinad

    2005-01-01

    The development of medical research networks within the framework of translational research has fostered interest in the integration of clinical and biological research data in a common database. The building of one single database integrating clinical data and biological research data requires a concept which enables scientists to retrieve information and to connect known facts to new findings. Clinical parameters are collected by a Patient Data Management System and viewed in a database which also includes genomic data. This database is designed as an Entity Attribute Value model, which implicates the development of a data warehouse concept. For the realization of this project, various requirements have to be taken into account which has to be fulfilled sufficiently in order to align with international standards. Data security and protection of data privacy are most important parts of the data warehouse concept. It has to be clear how patient pseudonymization has to be carried out in order to be within the scope of data security law. To be able to evaluate the data stored in a database consisting of clinical data collected by a Patient Data Management System and genomic research data easily, a data warehouse concept based on an Entity Attribute Value datamodel has been developed.

  12. The data warehouse as a foundation for population-based reference intervals.

    Science.gov (United States)

    Bock, Brian J; Dolan, C Terrence; Miller, Gerald C; Fitter, William F; Hartsell, Brent D; Crowson, A Neil; Sheehan, William W; Williams, John D

    2003-11-01

    The volume of data contained in a data warehouse represents a potential resource to provide the basis for detailed and specific reference intervals. Routine chemistry panel testing data were derived from an outreach laboratory patient population of 438,180 people and then screened by multiple data filters to identify a large and demographically diverse reference population. Reference intervals were determined for 4 common analytes: aspartate aminotransferase, alanine aminotransferase, total bilirubin, and alkaline phosphatase. Each derived reference population contained more than 60,000 people with sex- and age-specific subgroups comprising between 495 and 4,949 persons. These intervals are particularly representative of the aging patient population and demonstrate a degree of age and sex diversity not reflected commonly in routine laboratory reference intervals. Warehouse data also can yield other interpretative data, such as percentile ranking of results or disease-specific reference intervals. As the warehouse accumulates data from other disciplines (such as from clinical notes or pharmacy), there is increasing potential for the laboratory to enhance the clinician's ability to diagnose and treat disease.

  13. DBMap: a space-conscious data visualization and knowledge discovery framework for biomedical data warehouse.

    Science.gov (United States)

    Zhang, Ming; Zhang, Hong; Tjandra, Donny; Wong, Stephen T C

    2004-09-01

    Advances in digital imaging modalities as well as other diagnosis and therapeutic techniques have generated a massive amount of diverse data for clinical research. The purpose of this study is to investigate and implement a new intuitive and space-conscious visualization framework, called DBMap, to facilitate efficient multidimensional data visualization and knowledge discovery against the large-scale data warehouses of integrated image and nonimage data. The DBMap framework is built upon the TreeMap concept. TreeMap is a space constrained graphical representation of large hierarchical data sets, mapped to a matrix of rectangles, whose size and color represent interested database fields. It allows the display of a large amount of numerical and categorical information in limited real estate of the computer screen with an intuitive user interface. DBMap has been implemented and integrated into a large brain research data warehouse to support neurologic and neuroradiologic research at the University of California, San Francisco Medical Center. For imaging specialists and clinical researchers, this novel DBMap framework facilitates another way to better explore and classify the hidden knowledge embedded in medical image data warehouses.

  14. Using Data Warehouses to extract knowledge from Agro-Hydrological simulations

    Science.gov (United States)

    Bouadi, Tassadit; Gascuel-Odoux, Chantal; Cordier, Marie-Odile; Quiniou, René; Moreau, Pierre

    2013-04-01

    In recent years, simulation models have been used more and more in hydrology to test the effect of scenarios and help stakeholders in decision making. Agro-hydrological models have oriented agricultural water management, by testing the effect of landscape structure and farming system changes on water and chemical emission in rivers. Such models generate a large amount of data while few of them, such as daily concentrations at the outlet of the catchment, or annual budgets regarding soil, water and atmosphere emissions, are stored and analyzed. Thus, a great amount of information is lost from the simulation process. This is due to the large volumes of simulated data, but also to the difficulties in analyzing and transforming the data in an usable information. In this talk we illustrate a data warehouse which has been built to store and manage simulation data coming from the agro-hydrological model TNT (Topography-based nitrogen transfer and transformations, (Beaujouan et al., 2002)). This model simulates the transfer and transformation of nitrogen in agricultural catchments. TNT was used over 10 years on the Yar catchment (western France), a 50 km2 square area which present a detailed data set and have to facing to environmental issue (coastal eutrophication). 44 output key simulated variables are stored at a daily time step, i.e, 8 GB of storage size, which allows the users to explore the N emission in space and time, to quantify all the processes of transfer and transformation regarding the cropping systems, their location within the catchment, the emission in water and atmosphere, and finally to get new knowledge and help in making specific and detailed decision in space and time. We present the dimensional modeling process of the Nitrogen in catchment data warehouse (i.e. the snowflake model). After identifying the set of multileveled dimensions with complex hierarchical structures and relationships among related dimension levels, we chose the snowflake model to

  15. Construction Design of “Conical” Coal (Rock) Warehouse%“锥形”煤(岩)仓的施工设计

    Institute of Scientific and Technical Information of China (English)

    张振营

    2012-01-01

    随着安全高产高效矿井建设的大力推进,煤矿出煤连续化工程以及岩巷后运皮带化施工工艺得到了迅猛发展.致使煤(岩)仓在设计、使用中所存在的一些问题得到了凸显.为有效解决煤(岩)块堵仓、粘仓、溃仓等问题我们创新出了——“锥形”煤(岩)仓.“锥形”煤(岩)仓是在分析、总结原煤仓优缺点的基础上,由圆形垂直式煤仓发展而来的.其重点是对煤仓的仓体进行了“锥形”优化设计,重在解决堵仓、粘仓事故的发生以及堵仓、粘仓后的安全高效处理等.%Along with vigorous promotion of mine construction with safety and high production as well as high efficiency, continuous engineering of coal mine and construction technology of stone head after the transport belt have been developed rapidly, which causes highlighted problems of coal (rock) warehouse in design and use. In order to effectively solve the problems of coal (rock)warehouse, such as blocking warehouse, sticky warehouse and defeated warehouse, we create the "Conical" coal(rock)warehouse. The development of "Conical" coal(rock)warehouse is evolved from circular vertical coal warehouse based on the summary of the advantages and disadvantages of original coal warehouse. To make "Conical" optimal design is its key, and it focus on solving the previously mentioned problems and the safe and efficient processing after blocking warehouse and sticky warehouse.

  16. Automated realtime data import for the i2b2 clinical data warehouse: introducing the HL7 ETL cell.

    Science.gov (United States)

    Majeed, Raphael W; Röhrig, Rainer

    2012-01-01

    Clinical data warehouses are used to consolidate all available clinical data from one or multiple organizations. They represent an important source for clinical research, quality management and controlling. Since its introduction, the data warehouse i2b2 gathered a large user base in the research community. Yet, little work has been done on the process of importing clinical data into data warehouses using existing standards. In this article, we present a novel approach of utilizing the clinical integration server as data source, commonly available in most hospitals. As information is transmitted through the integration server, the standardized HL7 message is immediately parsed and inserted into the data warehouse. Evaluation of import speeds suggest feasibility of the provided solution for real-time processing of HL7 messages. By using the presented approach of standardized data import, i2b2 can be used as a plug and play data warehouse, without the hurdle of customized import for every clinical information system or electronic medical record. The provided solution is available for download at http://sourceforge.net/projects/histream/.

  17. Development of a data warehouse at an academic health system: knowing a place for the first time.

    Science.gov (United States)

    Dewitt, Jocelyn G; Hampton, Philip M

    2005-11-01

    In 1998, the University of Michigan Health System embarked upon the design, development, and implementation of an enterprise-wide data warehouse, intending to use prioritized business questions to drive its design and implementation. Because of the decentralized nature of the academic health system and the development team's inability to identify and prioritize those institutional business questions, however, a bottom-up approach was used to develop the enterprise-wide data warehouse. Specific important data sets were identified for inclusion, and the technical team designed the system with an enterprise view and architecture rather than as a series of data marts. Using this incremental approach of adding data sets, institutional leaders were able to experience and then further define successful use of the integrated data made available to them. Even as requests for the use and expansion of the data warehouse outstrip the resources assigned for support, the data warehouse has become an integral component of the institution's information management strategy. The authors discuss the approach, process, current status, and successes and failures of the data warehouse.

  18. A study on two-warehouse partially backlogged deteriorating inventory models under inflation via particle swarm optimisation

    Science.gov (United States)

    Bhunia, A. K.; Shaikh, A. A.; Gupta, R. K.

    2015-04-01

    This paper deals with a deterministic inventory model for linear trend in demand under inflationary conditions with different rates of deterioration in two separate warehouses (owned and rented warehouses). The replenishment rate is infinite. The stock is transferred from the rented warehouse to owned warehouse in continuous release pattern and the associated transportation cost is taken into account. At owned warehouse, shortages, if any, are allowed and partially backlogged with a rate dependent on the duration of waiting time up to the arrival of the next lot. The corresponding problems have been formulated as nonlinear constrained optimisation problems for two different policies (inventory follows shortage (IFS) and shortage follows inventory (SFI)). Finally, the model has been illustrated with a numerical example and to study the effects of changes of different system parameters on initial stock level, maximum shortage level and cycle length with the minimum cost of the system, sensitivity analyses have been carried out by changing one parameter at a time and keeping the others at their original values.

  19. 军队仓库管理网络化应用%The Network Application of Army Warehouse Management

    Institute of Scientific and Technical Information of China (English)

    鲁璐

    2013-01-01

    Network application of army warehouse management is an inevitable trend for military construction to achieve technological modernization. Army warehouse management system is mainly to achieve the informatization management of warehouse storage supplies, the maintenance of warehouse environment, the network of materials technology and the visualization of facilities operations. However, with the construction of these years, there are still some problems in China's network application of army warehouse management, this paper analyzes those problems and discusses suggestions for solving those problems.%军队仓库管理网络化是军队建设实现科技的现代化的必然趋势。军队的仓库管理系统主要实现仓库存储物资的信息化管理、仓库环境维护、物资技术的网络化以及配套设施操作的可视化。然而,经过这些年的发展建设,我国的军队仓库管理网络应用方面仍然存在着一些问题,本文针对对这些存在的问题进行了分析,并探讨了解决这些问题的建议。

  20. Design of Dispatching Process of Mixed Use of Plane Warehouse and Stereoscopic Warehouse%平面仓库和立体仓库混合使用的调度流程设计

    Institute of Scientific and Technical Information of China (English)

    李家斌

    2012-01-01

    In this paper, we first defined plane warehouse and stereoscopic warehouse and then analyzed the characteristics of the two types of warehouse and the necessity for their mixed use, on such basis we designed the comprehensive dispatching process for the mixed-use situation.%首先对平面仓库和立体仓库的含义进行了界定,其次对平面仓库和立体仓库的特点以及进行混合使用的必要性进行了分析,在此基础上,设计了混合使用情况下的综合调度流程.