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Heuristics in Job Shop Scheduling

Author

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  • William S. Gere, Jr.

    (Yale University)

Abstract

The problem is that of scheduling jobs with diverse routings on the productive facilities in a shop such that the respective due dates are met, or failing this, the sum of lateness times is minimized. The approach is simulative in that the operation of the shop is simulated in a Fortran program, but in addition to the straightforward use of priority rules for determining sequences of jobs on the machines, a number of heuristics or rules of thumb are incorporated. Both the static and dynamic problems are investigated. The efficacy of a small number of heuristics in combination with certain priority rules is demonstrated.

Suggested Citation

  • William S. Gere, Jr., 1966. "Heuristics in Job Shop Scheduling," Management Science, INFORMS, vol. 13(3), pages 167-190, November.
  • Handle: RePEc:inm:ormnsc:v:13:y:1966:i:3:p:167-190
    DOI: 10.1287/mnsc.13.3.167
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    Cited by:

    1. Golenko-Ginzburg, Dimitri & Gonik, Aharon, 2002. "Optimal job-shop scheduling with random operations and cost objectives," International Journal of Production Economics, Elsevier, vol. 76(2), pages 147-157, March.
    2. Li, Guo & Li, Na & Sambandam, Narayanasamy & Sethi, Suresh P. & Zhang, Faping, 2018. "Flow shop scheduling with jobs arriving at different times," International Journal of Production Economics, Elsevier, vol. 206(C), pages 250-260.
    3. Blazewicz, Jacek & Domschke, Wolfgang & Pesch, Erwin, 1996. "The job shop scheduling problem: Conventional and new solution techniques," European Journal of Operational Research, Elsevier, vol. 93(1), pages 1-33, August.
    4. Xiong, Hegen & Fan, Huali & Jiang, Guozhang & Li, Gongfa, 2017. "A simulation-based study of dispatching rules in a dynamic job shop scheduling problem with batch release and extended technical precedence constraints," European Journal of Operational Research, Elsevier, vol. 257(1), pages 13-24.
    5. Reményi, Christoph & Staudacher, Stephan, 2014. "Systematic simulation based approach for the identification and implementation of a scheduling rule in the aircraft engine maintenance," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 94-107.
    6. Jain, A. S. & Meeran, S., 1999. "Deterministic job-shop scheduling: Past, present and future," European Journal of Operational Research, Elsevier, vol. 113(2), pages 390-434, March.
    7. Golenko-Ginzburg, Dimitri & Gonik, Aharon, 1997. "Using "look ahead" techniques in job-shop scheduling with random operations," International Journal of Production Economics, Elsevier, vol. 50(1), pages 13-22, May.
    8. Golenko-Ginzburg, Dimitri & Kesler, Shmuel & Landsman, Zinoviy, 1995. "Industrial job-shop scheduling with random operations and different priorities," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 185-195, August.
    9. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "A tabu search approach to machine scheduling," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 277-300, April.

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