Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling
Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling
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DOI：
10.1016/j.ejor.2014.08.004
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发表时间：
2015-02
期刊：
影响因子：
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通讯作者：
Tangbin Xia;X. Jin;L. Xi;J. Ni
中科院分区：
文献类型：
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作者：
Tangbin Xia;X. Jin;L. Xi;J. Ni
现代生产方式如批量生产，给多部件维修决策带来了新的挑战。维修计划不仅要考虑单机的损耗，而且要考虑批量可变的批量生产。针对多部件批量生产系统中存在设备退化的问题，提出了一种交互式的两级维修策略。在机器级调度中，多属性模型（MAM）被用来获得维修间隔，根据个别机器的退化。在系统级调度中，综合考虑设备退化和批量生产的特点，提出了一种新的生产驱动的机会维修策略。在这种策略中，提前-推迟平衡（APB）利用设置时间作为机会，为系统级维护制定实时计划。数值算例表明，所提出的MAM-APB方法可以有效地消除不必要的生产中断，降低成本，克服系统调度的复杂性。
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.