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

Michael Geurtsen, Jelle Adan () and Alp Akçay
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Michael Geurtsen: Eindhoven University of Technology
Jelle Adan: Eindhoven University of Technology
Alp Akçay: Eindhoven University of Technology

Flexible Services and Manufacturing Journal, 2024, vol. 36, issue 3, No 10, 1046-1079

Abstract: 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.

Keywords: Production scheduling; Parallel machines; Integrated planning; Setup times; Mixed integer linear programming; Hybrid genetic algorithm (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10696-023-09511-z

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