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Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant

Author

Listed:
  • Zachariah Stevenson

    (University of Waterloo)

  • Ricardo Fukasawa

    (University of Waterloo)

  • Luis Ricardez-Sandoval

    (University of Waterloo)

Abstract

Periodic rescheduling is a commonly used method for scheduling short-term operations. Through computational experiments that vary plant parameters, such as the load and the capacity of a facility, we investigate the effects these parameters have on plant performance under periodic rescheduling. The results show that choosing a suitable rescheduling policy depends highly on some key plant parameters. In particular, by modifying various parameters of the facility, the performance ranking of the various rescheduling policies may be reversed compared to the results obtained with nominal parameter values. This highlights the need to consider both facility characteristics and what the crucial objective of the facility is when selecting a rescheduling policy. This study considers a variant of the job shop problem, used to model the operation of an industrial-scale analytical services facility using different periodic rescheduling policies. A rolling horizon routine is used to schedule operations over the scheduling horizon. Performance is measured in terms of job throughput, job makespan, and proportion of jobs on time at the end of the scheduling horizon to obtain a more complete understanding of how performance varies between rescheduling policies.

Suggested Citation

  • Zachariah Stevenson & Ricardo Fukasawa & Luis Ricardez-Sandoval, 2020. "Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant," Journal of Scheduling, Springer, vol. 23(3), pages 397-410, June.
    • Handle: RePEc:spr:jsched:v:23:y:2020:i:3:d:10.1007_s10951-019-00627-5
    DOI: 10.1007/s10951-019-00627-5
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    References listed on IDEAS

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    1. Michele E. Pfund & John W. Fowler, 2017. "Extending the boundaries between scheduling and dispatching: hedging and rescheduling techniques," International Journal of Production Research, Taylor & Francis Journals, vol. 55(11), pages 3294-3307, June.
    2. Adil Baykasoğlu & Fatma S. Karaslan, 2017. "Solving comprehensive dynamic job shop scheduling problem by using a GRASP-based approach," International Journal of Production Research, Taylor & Francis Journals, vol. 55(11), pages 3308-3325, June.
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    Cited by:

    1. Didden, Jeroen B.H.C. & Dang, Quang-Vinh & Adan, Ivo J.B.F., 2024. "Enhancing stability and robustness in online machine shop scheduling: A multi-agent system and negotiation-based approach for handling machine downtime in industry 4.0," European Journal of Operational Research, Elsevier, vol. 316(2), pages 569-583.

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