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New manufacturing modeling methodology: data driven design and simulation system based on XML

Published: 07 December 2003 Publication History

Abstract

Implementing a highly flexible manufacturing approach, like mass customization manufacturing, demands an integrated design and simulation system. This system must be able to cope with difficult issues such as a high level of product variety, uncertainty in the product demand forecast, and the reconfiguration of manufacturing resources to support the introduction and integration of new manufacturing capabilities. In this paper, a data-driven design and simulation system to support flexible manufacturing is presented. A neutral model of shop information, based on the eXtensible Markup Language, is used to describe the important information about the manufacturing facilities and processes, to configure simulation models and to exchange data between simulation and other manufacturing applications. When demand changes, the simulation model can be quickly modified to perform analysis according to the new demand. Manufacturing capabilities and production processes can be adjusted, layout reconfigured, and resources reassigned according to the analysis results.

References

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Bourke, R., J. Arts, and M. V. Roest. 1999. Achieving Success With Mass Customization: The Vital Contributions Of Engineering. Computer-Aided Engineering. Vol. 10, 42--52.
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Gilmore, J. H., and B. J. Pine. 2000. Markets of One Creating Customer-unique Value Through Mass Customization. A Harvard Business Review Book. Harvard Business School Press.
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Lee T., C. McLean, and G. Shao. 2003. A Neutral Information Model For Simulation Machine Shop Operations. In Proceedings of the 2003 Winter Simulation Conferenc. ed. S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice, Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
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McLean, C., A. Jones, T. Lee, and F. Riddick. 2002. An Architecture for a Generic Data-Driven Machine Shop Simulator. In Proceedings of the 2002 Winter Simulation Conference, ed. E. Yucesan, C. Chen, J. L. Snowdon, and J. M. Charnes, 1108--1116. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
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Qiao, G., C. McLean, and F. Riddick. 2002. Simulation System Modeling for Mass Customization Manufacturing. In Proceedings of the 2002 Winter Simulation Conference, ed. E. Yucesan, C. Chen, J. L. Snowdon, and J. M. Charnes, 1108--1116. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
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Cited By

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  • (2010)A knowledge-based approach to automated simulation model adaptationProceedings of the 2010 Spring Simulation Multiconference10.1145/1878537.1878697(1-8)Online publication date: 11-Apr-2010
  • (2009)A dynamic data driven application system for wildfire spread simulationWinter Simulation Conference10.5555/1995456.1995880(3121-3128)Online publication date: 13-Dec-2009
  • (2007)An XML-based schema definition for model sharing and reuse in a distributed environmentDecision Support Systems10.1016/j.dss.2006.12.01043:3(791-808)Online publication date: 1-Apr-2007
  • Show More Cited By
  1. New manufacturing modeling methodology: data driven design and simulation system based on XML

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    Published In

    cover image ACM Conferences
    WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation
    December 2003
    2094 pages
    ISBN:0780381327

    Sponsors

    • IIE: Institute of Industrial Engineers
    • INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
    • 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: 07 December 2003

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    WSC03
    Sponsor:
    • IIE
    • INFORMS/CS
    • ASA
    • ACM
    • SIGSIM
    • IEEE/CS
    • NIST
    • (SCS)
    • IEEE/SMCS
    WSC03: Winter Simulation Conference 2003
    December 7 - 10, 2003
    Louisiana, New Orleans

    Acceptance Rates

    WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;
    Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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    Cited By

    View all
    • (2010)A knowledge-based approach to automated simulation model adaptationProceedings of the 2010 Spring Simulation Multiconference10.1145/1878537.1878697(1-8)Online publication date: 11-Apr-2010
    • (2009)A dynamic data driven application system for wildfire spread simulationWinter Simulation Conference10.5555/1995456.1995880(3121-3128)Online publication date: 13-Dec-2009
    • (2007)An XML-based schema definition for model sharing and reuse in a distributed environmentDecision Support Systems10.1016/j.dss.2006.12.01043:3(791-808)Online publication date: 1-Apr-2007
    • (2005)Operator-paced assembly line simulationProceedings of the 37th conference on Winter simulation10.5555/1162708.1162943(1343-1349)Online publication date: 4-Dec-2005
    • (2004)XML-based supply chain simulation modelingProceedings of the 36th conference on Winter simulation10.5555/1161734.1162008(1485-1493)Online publication date: 5-Dec-2004
    • (2004)Modeling information for manufacturing-oriented supply-chain simulationsProceedings of the 36th conference on Winter simulation10.5555/1161734.1161950(1184-1188)Online publication date: 5-Dec-2004

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