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

Tangbin Xia, Lifeng Xi, Xiaojun Zhou and Jay Lee

European Journal of Operational Research, 2012, vol. 221, issue 1, 231-240

Abstract: Proper maintenance schedule is required to improve manufacturing systems’ 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.

Keywords: Decision-making; Multi-attribute model; Series–parallel system; Maintenance time window; Maintenance effect (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:221:y:2012:i:1:p:231-240

DOI: 10.1016/j.ejor.2012.03.027

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