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Perspectives on the Evolution of Simulation

Author

Listed:
  • Richard E. Nance

    (Department of Computer Science and Systems Research Center, Virginia Tech, Blacksburg, Virginia 24060)

  • Robert G. Sargent

    (Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York 13244)

Abstract

Simulation is introduced in terms of its different forms and uses, but the focus on discrete event modeling for systems analysis is dominant as it has been during the evolution of the technique within operations research and the management sciences. This evolutionary trace of over almost fifty years notes the importance of bidirectional influences with computer science, probability and statistics, and mathematics. No area within the scope of operations research and the management sciences has been affected more by advances in computing technology than simulation. This assertion is affirmed in the review of progress in those technical areas that collectively define the art and science of simulation. A holistic description of the field must include the roles of professional societies, conferences and symposia, and publications. The closing citation of a scientific value judgment from over 30 years in the past hopefully provides a stimulus for contemplating what lies ahead in the next 50 years.

Suggested Citation

  • Richard E. Nance & Robert G. Sargent, 2002. "Perspectives on the Evolution of Simulation," Operations Research, INFORMS, vol. 50(1), pages 161-172, February.
    • Handle: RePEc:inm:oropre:v:50:y:2002:i:1:p:161-172
    DOI: 10.1287/opre.50.1.161.17790
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Andrew J Collins & Farinaz Sabz Ali Pour & Craig A Jordan, 2023. "Past challenges and the future of discrete event simulation," The Journal of Defense Modeling and Simulation, , vol. 20(3), pages 351-369, July.
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    3. 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.
    4. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.
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    6. Barry L. Nelson, 2004. "50th Anniversary Article: Stochastic Simulation Research in Management Science," Management Science, INFORMS, vol. 50(7), pages 855-868, July.
    7. Robinson, Stewart & Radnor, Zoe J. & Burgess, Nicola & Worthington, Claire, 2012. "SimLean: Utilising simulation in the implementation of lean in healthcare," European Journal of Operational Research, Elsevier, vol. 219(1), pages 188-197.
    8. Alberto Ferreira Pereira, 2011. "Evaluating The Performance Of An Agv Fleet In An Fms Under Minimizing Part Movement And Balancing Workload Rules," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 79-96.
    9. S J E Taylor & T Eldabi & G Riley & R J Paul & M Pidd, 2009. "Simulation modelling is 50! Do we need a reality check?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 69-82, May.
    10. Songhao Wang & Szu Hui Ng & William Benjamin Haskell, 2022. "A Multilevel Simulation Optimization Approach for Quantile Functions," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 569-585, January.
    11. S Robinson, 2005. "Discrete-event simulation: from the pioneers to the present, what next?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 619-629, June.
    12. Thomas W. Lucas & W. David Kelton & Paul J. Sánchez & Susan M. Sanchez & Ben L. Anderson, 2015. "Changing the paradigm: Simulation, now a method of first resort," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(4), pages 293-303, June.
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    14. K. Vela Velupillai & Stefano Zambelli, 2010. "The Epistemology of Simulation, Computation and Dynamics in Economics Ennobling Synergies, Enfeebling 'Perfection'," ASSRU Discussion Papers 1002, ASSRU - Algorithmic Social Science Research Unit.
    15. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.

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