Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology
In: European Journal of Operational Research, Jg. 221 (2012-08-01), S. 231-240
Online
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Zugriff:
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.
Titel: |
Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology
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Autor/in / Beteiligte Person: | Lee, Jay ; Xi, Lifeng ; Zhou, Xiaojun ; Xia, Tangbin |
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Zeitschrift: | European Journal of Operational Research, Jg. 221 (2012-08-01), S. 231-240 |
Veröffentlichung: | Elsevier BV, 2012 |
Medientyp: | unknown |
ISSN: | 0377-2217 (print) |
DOI: | 10.1016/j.ejor.2012.03.027 |
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