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Practical job shop scheduling

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  • J.M.J. Schutten

Abstract

The Shifting Bottleneck procedure is an intuitive and reasonably good approximation algorithm for the notoriously difficult classical job shop scheduling problem. The principle of decomposing a classical job shop problem into a series of single-machine problems can also easily be applied to job shop problems with practical features, such as transportation times, simultaneous resource requirements, setup times, and many minor but important other characteristics. We report on the continuous research in the area of extending the Shifting Bottleneck procedure to deal with those practical features. We call job shops with such additional features practical job shops. We discuss experiences with the Shifting Bottleneck procedure in a number of practical cases. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • J.M.J. Schutten, 1998. "Practical job shop scheduling," Annals of Operations Research, Springer, vol. 83(0), pages 161-178, October.
    • Handle: RePEc:spr:annopr:v:83:y:1998:i:0:p:161-178:10.1023/a:1018955929512
    DOI: 10.1023/A:1018955929512
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    Cited by:

    1. Drótos, Márton & Erdos, Gábor & Kis, Tamás, 2009. "Computing lower and upper bounds for a large-scale industrial job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 197(1), pages 296-306, August.
    2. Félix Quinton & Idir Hamaz & Laurent Houssin, 2020. "A mixed integer linear programming modelling for the flexible cyclic jobshop problem," Annals of Operations Research, Springer, vol. 285(1), pages 335-352, February.
    3. Michael A. Abebe, 2012. "Social And Institutional Predictors Of Entrepreneurial Career Intention: Evidence From Hispanic Adults In The U.S," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-23.

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