Dynamic maintenance decision-making for series-parallel manufacturing system based on MAM-MTW methodology

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• 作者：Tangbin Xia^a ; ^{xtbxtb@sjtu.edu.cn} ; Lifeng Xi^a ; Xiaojun Zhou^a ; Jay Lee^b
• 关键词：Decision-making ; Multi-attribute model ; Series&ndash ; parallel system ; Maintenance time window ; Maintenance effect
• 刊名：European Journal of Operational Research
• 出版年：2012
• 期刊代码：58_03772217
• 类别：et
• 出版时间：16 August, 2012
• 卷：221
• 期：1
• 页码：231-240
• 文件大小：718 K

摘要

Proper maintenance schedule is required to improve manufacturing systems鈥?profitability and productivity. A novel dynamic maintenance strategy is thus developed to incorporate both the single-machine optimization and the whole-system schedule for series-parallel system. Firstly, multiple attribute value theory and maintenance effects are considered in the single-machine optimization. A developed multi-attribute model (MAM) is used to determine the optimal maintenance intervals. Then, a series-parallel structure of the system is investigated in terms of the whole-system schedule. Maintenance time window (MTW) programming is presented to make a cost-effective system schedule by dynamically utilizing maintenance opportunities. The maintenance scheme achieved by using the proposed MAM-MTW methodology is demonstrated through a case study in a hydraulic steering factory. It is concluded that proper consideration of maintenance effects and time window leads to a significant cost reduction.