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A review of the applicability of OR and AI scheduling techniques in practice

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  • Wiers, V. C. S.

Abstract

This paper presents a review of the applicability of scheduling techniques in practice. Both the operations research and the artificial intelligence research communities have produced a number of reports on the applicability of techniques, often in isolation from each other, although the problems encountered seem largely similar in each case. Moreover, studies on the role of humans in production scheduling are reviewed. Papers that discuss the use of techniques by humans are also discussed. The paper suggests ways in which the applicability of scheduling techniques might be improved.

Suggested Citation

  • Wiers, V. C. S., 1997. "A review of the applicability of OR and AI scheduling techniques in practice," Omega, Elsevier, vol. 25(2), pages 145-153, April.
    • Handle: RePEc:eee:jomega:v:25:y:1997:i:2:p:145-153
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    1. Stephen C. Graves, 1981. "A Review of Production Scheduling," Operations Research, INFORMS, vol. 29(4), pages 646-675, August.
    2. Gupta, Sushil K & Kyparisis, Jerzy, 1987. "Single machine scheduling research," Omega, Elsevier, vol. 15(3), pages 207-227.
    3. Ramasesh, R, 1990. "Dynamic job shop scheduling: A survey of simulation research," Omega, Elsevier, vol. 18(1), pages 43-57.
    4. Davis, Fred D. & Kottemann, Jeffrey E., 1995. "Determinants of Decision Rule Use in a Production Planning Task," Organizational Behavior and Human Decision Processes, Elsevier, vol. 63(2), pages 145-157, August.
    5. Kanet, John J. & Adelsberger, Heimo H., 1987. "Expert systems in production scheduling," European Journal of Operational Research, Elsevier, vol. 29(1), pages 51-59, April.
    6. Kenneth N. McKay & Frank R. Safayeni & John A. Buzacott, 1988. "Job-Shop Scheduling Theory: What Is Relevant?," Interfaces, INFORMS, vol. 18(4), pages 84-90, August.
    7. Buxey, Geoff, 1989. "Production scheduling: Practice and theory," European Journal of Operational Research, Elsevier, vol. 39(1), pages 17-31, March.
    8. Speranza, M. Grazia & Woerlee, Auke P., 1991. "A decision support system for operational production scheduling," European Journal of Operational Research, Elsevier, vol. 55(3), pages 329-343, December.
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    Cited by:

    1. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2001. "A review of planning and scheduling systems and methods for integrated steel production," European Journal of Operational Research, Elsevier, vol. 133(1), pages 1-20, August.
    2. Servranckx, Tom & Vanhoucke, Mario, 2019. "Strategies for project scheduling with alternative subgraphs under uncertainty: similar and dissimilar sets of schedules," European Journal of Operational Research, Elsevier, vol. 279(1), pages 38-53.
    3. Olafsson, Sigurdur & Li, Xiaonan, 2010. "Learning effective new single machine dispatching rules from optimal scheduling data," International Journal of Production Economics, Elsevier, vol. 128(1), pages 118-126, November.
    4. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    5. Berglund, M. & Karltun, J., 2007. "Human, technological and organizational aspects influencing the production scheduling process," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 160-174, October.

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