TY - JOUR
T1 - Preventive maintenance of a batch production system under time-varying operational condition
AU - Hu, Jiawen
AU - Jiang, Zuhua
AU - Liao, Haitao
N1 - Funding Information:
This work is supported by the National Nature Science Foundation of China [grant number 71461018], [grant number 71361019] and China Scholarship Council (CSC) [201606230130]. The authors also gratefully acknowledge the anonymous reviewers for their helpful comments and suggestions that significantly helped the authors improve the quality of this paper.
Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - This paper proposes a dynamic opportunistic preventive maintenance (PM) strategy for a production system with a time-varying batch production pattern. The operation of such a system is generic in that the operational condition (OC) varies from batch to batch and the information about the next batch can be confirmed only upon the completion of the current batch. To accommodate time-varying OC, a modified imperfect maintenance model is developed to optimise the performance of maintenance actions that can only be performed at batch-shift points. The first study presents a PM policy for a single machine with short-term production plans. Then, a multi-machine system is studied with a goal of developing an optimum dynamic opportunistic PM strategy for a group of machines at batch-shift points. Numerical examples are proceeded to illustrate the proposed maintenance strategy in practice. The result reveals that more cost will be incurred if OC is ignored. Moreover, the proposed opportunistic PM strategy achieves the lowest total cost comparing with other strategies as the system downtime cost and maintenance cost has been jointly minimised.
AB - This paper proposes a dynamic opportunistic preventive maintenance (PM) strategy for a production system with a time-varying batch production pattern. The operation of such a system is generic in that the operational condition (OC) varies from batch to batch and the information about the next batch can be confirmed only upon the completion of the current batch. To accommodate time-varying OC, a modified imperfect maintenance model is developed to optimise the performance of maintenance actions that can only be performed at batch-shift points. The first study presents a PM policy for a single machine with short-term production plans. Then, a multi-machine system is studied with a goal of developing an optimum dynamic opportunistic PM strategy for a group of machines at batch-shift points. Numerical examples are proceeded to illustrate the proposed maintenance strategy in practice. The result reveals that more cost will be incurred if OC is ignored. Moreover, the proposed opportunistic PM strategy achieves the lowest total cost comparing with other strategies as the system downtime cost and maintenance cost has been jointly minimised.
KW - batch processing
KW - imperfect maintenance
KW - preventive maintenance
KW - short-term production plan
KW - time-varying operational condition
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U2 - 10.1080/00207543.2017.1330565
DO - 10.1080/00207543.2017.1330565
M3 - Article
AN - SCOPUS:85019673723
VL - 55
SP - 5681
EP - 5705
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 19
ER -