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Integrated maintenance and production scheduling for unrelated parallel machines with setup times

Author

Listed:
  • Michael Geurtsen

    (Eindhoven University of Technology
    Nexperia)

  • Jelle Adan

    (Eindhoven University of Technology
    Nexperia)

  • Alp Akçay

    (Eindhoven University of Technology)

Abstract

This paper considers jointly scheduling the production and resource-constrained maintenance activities in a manufacturing setting with unrelated parallel machines. In particular, a single maintenance activity needs to be scheduled on each machine in one of its available time windows, and the maintenance activities require a scarce resource, thereby limiting the number of maintenance activities that can be scheduled simultaneously on different machines. In addition, machine- and sequence-dependent setup times, machine eligibility constraints and job-specific release and due dates are considered. A mixed-integer linear program is formulated with objectives including the makespan and, motivated from practice, a weighted sum of total production completion times at machines and total job tardiness. Additionally, a hybrid genetic algorithm with a novel solution representation is proposed for solving industry-scale large instances. A case study is performed with real-world data from a semiconductor manufacturer, where production and maintenance are scheduled separately. The benefit of simultaneously scheduling production and maintenance is investigated. Tests with real-world data show that the proposed model results in schedules that substantially improve the current factory practice.

Suggested Citation

  • Michael Geurtsen & Jelle Adan & Alp Akçay, 2024. "Integrated maintenance and production scheduling for unrelated parallel machines with setup times," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 1046-1079, September.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:3:d:10.1007_s10696-023-09511-z
    DOI: 10.1007/s10696-023-09511-z
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    References listed on IDEAS

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