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Operations Research Techniques: A Longitudinal Update 1973–1988

Author

Listed:
  • Michael S. Lane

    (Department of Management, West Virginia University, PO Box 6025, Morgantown, West Virginia 26506-6025)

  • Ali H. Mansour

    (Department of Management, West Virginia University, PO Box 6025, Morgantown, West Virginia 26506-6025)

  • John L. Harpell

    (Department of Management, West Virginia University, PO Box 6025, Morgantown, West Virginia 26506-6025)

Abstract

Questionnaires have been sent to Operations Research Society of America (ORSA) members at five-year intervals over the past 15 years (1973, 1978, 1983, 1988). The most recent set of questionnaires (1988) indicates what operations research (OR) educators and practitioners believe are the quantitative techniques needed for a proper foundation in OR. The results show some change since the first questionnaire (1973). Three quantitative techniques stand out as consistently believed to be the most important: math programming, statistics, and simulation. Other techniques vary in relative importance. Practitioners indicate the use of a more diverse set of techniques than educators.

Suggested Citation

  • Michael S. Lane & Ali H. Mansour & John L. Harpell, 1993. "Operations Research Techniques: A Longitudinal Update 1973–1988," Interfaces, INFORMS, vol. 23(2), pages 63-68, April.
    • Handle: RePEc:inm:orinte:v:23:y:1993:i:2:p:63-68
    DOI: 10.1287/inte.23.2.63
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    Cited by:

    1. V C Ivănescu & J W M Bertrand & J C Fransoo & J P C Kleijnen, 2006. "Bootstrapping to solve the limited data problem in production control: an application in batch process industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(1), pages 2-9, January.
    2. Clare Chua-Chow & Doug McKessock, 2011. "Enhancing the Study of Business Statistics with an e-Homework System," Journal of Education and Vocational Research, AMH International, vol. 1(3), pages 96-105.

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