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The Simulator: New Member of the Simulation Family

Author

Listed:
  • Jerry Banks

    (School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332)

  • Eduardo Aviles

    (Myers-Holum, Inc., Suite 820 North, 2300 Windy Ridge Parkway, Marietta, Georgia 30067)

  • James R. McLaughlin

    (School of industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332)

  • Robert C. Yuan

    (LifeScan, Incorporated, 1051 South Milpitas Boulevard, Milpitas, California 95035)

Abstract

A simulator is a parameter-driven simulation that requires no programming. When appropriate, the simulator models a process quite rapidly. Since the early '80s, software companies have introduced many simulators for manufacturing; they use parameters to describe the model and allow many features. We examined four of the many simulators available, and their features indicate the types of considerations involved in selecting software.

Suggested Citation

  • Jerry Banks & Eduardo Aviles & James R. McLaughlin & Robert C. Yuan, 1991. "The Simulator: New Member of the Simulation Family," Interfaces, INFORMS, vol. 21(2), pages 76-86, April.
    • Handle: RePEc:inm:orinte:v:21:y:1991:i:2:p:76-86
    DOI: 10.1287/inte.21.2.76
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    Cited by:

    1. McCown, R. L. & Hochman, Z. & Carberry, P. S., 2002. "Probing the enigma of the decision support system for farmers: Learning from experience and from theory," Agricultural Systems, Elsevier, vol. 74(1), pages 1-10, October.
    2. B W Hollocks, 2006. "Forty years of discrete-event simulation—a personal reflection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1383-1399, December.
    3. Davide Cafasso & Cosimo Calabrese & Giorgia Casella & Eleonora Bottani & Teresa Murino, 2020. "Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment," Sustainability, MDPI, vol. 12(15), pages 1-33, July.
    4. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.

    More about this item

    Keywords

    simulation; computers;

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