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Supply chain analysis: supply chain analysis: spreadsheet or simulation?

Published: 08 December 2002 Publication History

Abstract

In the last few decades, a lot of company effort has been spent in the optimization of internal efficiency, aiming at cost reduction and competitiveness. Especially over the last decade, there has been a consensus that not only the company, but the whole supply chain in which it fits, is responsible for the success or failure of any business. Therefore, supply chain analysis tools and methodologies have become more and more important. From all tools, spreadsheets are by far the most widely used technique for scenario analysis. Other techniques such as optimization, simulation or both (simulation-optimization) are alternatives for in-depth analysis. While spreadsheet-based analysis is mainly a static-deterministic approach, simulation is a dynamic-stochastic tool. The purpose of this paper is to compare spreadsheet-based and simulation-based tools showing the impacts of using these two different approaches on the analysis of a real (yet simplified) supply chain case study.

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Cited By

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  • (2008)The development of a simulation-based approach to optimise the inventory policy in a single-echelon supply chain: a case studyInternational Journal of Data Analysis Techniques and Strategies10.1504/IJDATS.2008.0211171:2(173-192)Online publication date: 1-Nov-2008
  • (2007)Supply chain simulation modeling made easyProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351879(1887-1896)Online publication date: 9-Dec-2007
  • (2005)A conceptual model for the creation of supply chain simulation modelsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163194(2619-2627)Online publication date: 4-Dec-2005
  • Show More Cited By
  1. Supply chain analysis: supply chain analysis: spreadsheet or simulation?

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    Published In

    cover image ACM Conferences
    WSC '02: Proceedings of the 34th conference on Winter simulation: exploring new frontiers
    December 2002
    2143 pages
    ISBN:0780376153
    • General Chair:
    • Jane L. Snowdon,
    • Program Chair:
    • John M. Charnes

    Sponsors

    • INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
    • IIE: Institute of Industrial Engineers
    • ASA: American Statistical Association
    • ACM: Association for Computing Machinery
    • SIGSIM: ACM Special Interest Group on Simulation and Modeling
    • IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
    • NIST: National Institute of Standards and Technology
    • (SCS): The Society for Modeling and Simulation International
    • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society

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    Winter Simulation Conference

    Publication History

    Published: 08 December 2002

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    WSC02
    Sponsor:
    • INFORMS/CS
    • IIE
    • ASA
    • ACM
    • SIGSIM
    • IEEE/CS
    • NIST
    • (SCS)
    • IEEE/SMCS
    WSC02: Winter Simulation Conference 2002
    December 8 - 11, 2002
    California, San Diego

    Acceptance Rates

    WSC '02 Paper Acceptance Rate 166 of 185 submissions, 90%;
    Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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    View all
    • (2008)The development of a simulation-based approach to optimise the inventory policy in a single-echelon supply chain: a case studyInternational Journal of Data Analysis Techniques and Strategies10.1504/IJDATS.2008.0211171:2(173-192)Online publication date: 1-Nov-2008
    • (2007)Supply chain simulation modeling made easyProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351879(1887-1896)Online publication date: 9-Dec-2007
    • (2005)A conceptual model for the creation of supply chain simulation modelsProceedings of the 37th conference on Winter simulation10.5555/1162708.1163194(2619-2627)Online publication date: 4-Dec-2005
    • (2004)Analysis of a customer demand driven semiconductor supply chain in a distributed simulation test bedProceedings of the 36th conference on Winter simulation10.5555/1161734.1162088(1902-1909)Online publication date: 5-Dec-2004

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