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Model World: Tales from the Time Line—The Definition of OR and the Origins of Monte Carlo Simulation

Author

Listed:
  • Saul I. Gass

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Arjang A. Assad

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Abstract

OR began in the 1930s, and many of the leading figures in various sciences and mathematics contributed to its definition and progress.

Suggested Citation

  • Saul I. Gass & Arjang A. Assad, 2005. "Model World: Tales from the Time Line—The Definition of OR and the Origins of Monte Carlo Simulation," Interfaces, INFORMS, vol. 35(5), pages 429-435, October.
    • Handle: RePEc:inm:orinte:v:35:y:2005:i:5:p:429-435
    DOI: 10.1287/inte.1050.0160
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    Cited by:

    1. Manuel Chica & Joaquín Bautista & Jesica de Armas, 2019. "Benefits of robust multiobjective optimization for flexible automotive assembly line balancing," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 75-103, March.
    2. 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.
    3. Luca Bertazzi & Simona Cherubini, 2013. "An inventory-transportation system with stochastic demand," Computational Management Science, Springer, vol. 10(1), pages 1-20, February.

    More about this item

    Keywords

    professional: OR/MS history; simulation;

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