Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling

Tangbin Xia, Xiaoning Jin, Lifeng Xi and Jun Ni

European Journal of Operational Research, 2015, vol. 240, issue 3, 781-790

Abstract: Nowadays, modern production patterns, such as batch production, have brought new challenges for multi-unit maintenance decision-making. The maintenance scheduling should not only consider individual machine deterioration, but also apply to batch production with variable lot size. An interactive bi-level maintenance strategy is thus proposed in a multi-unit batch production system with degrading machines. In the machine-level scheduling, a multi-attribute model (MAM) is used to obtain maintenance intervals according to individual machine degradation. In the system-level scheduling, a novel production-driven opportunistic maintenance strategy is developed by considering both machine degradation and characteristics of batch production. In this strategy, advance-postpone balancing (APB) utilizes set-up times as opportunities to make real-time schedules for system-level maintenance. The numerical example shows that the proposed MAM–APB methodology can efficiently eliminate unnecessary production breaks, achieve significant cost reduction and overcome complexity of system scheduling.

Keywords: Maintenance; Batch production; Advance-postpone balancing; Set-up opportunity; Cost saving (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (33)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:240:y:2015:i:3:p:781-790

DOI: 10.1016/j.ejor.2014.08.004

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