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Hybrid opportunistic maintenance policy for serial-parallel multi-station manufacturing systems with spare part overlap

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  • Zhu, Mixin
  • Zhou, Xiaojun

Abstract

This paper studies the joint optimization of spare part and maintenance scheduling for Serial-Parallel Multi-station Manufacturing Systems (SPMMS), where the overlap of spare part connections is especially investigated. In the SPMMS, the spare parts in inventory are shared by multiple stations during the maintenances. That leads to the spare part connection among multiple stations. Furthermore, one station may demand multiple types of spare parts, and these spare parts are respectively shared with other stations. A multi-layer hypergraph is introduced to describe the multiple types of connections within the SPMMS. Moreover, a hybrid Opportunistic Maintenance (OM) policy is proposed to incorporate the connections into the maintenance scheduling. Based on the above multi-layer hypergraph, a hierarchical optimization method is further developed to jointly optimize the spare part and maintenance policies. The numerical examples and comparisons show that the hybrid OM policy is more cost-effective than the compound-node OM policy, the time-window-based OM policy and the influence-based OM policy. It is also observed that different connections jointly affect the cost effectiveness of the OM policy.

Suggested Citation

  • Zhu, Mixin & Zhou, Xiaojun, 2023. "Hybrid opportunistic maintenance policy for serial-parallel multi-station manufacturing systems with spare part overlap," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002181
    DOI: 10.1016/j.ress.2023.109304
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    Cited by:

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    2. Zhu, Mixin & Zhou, Xiaojun, 2023. "Hierarchical-clustering-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Qi, Faqun & Huang, Meiqi, 2024. "Joint optimization of maintenance and spares inventory policy for a series-parallel system considering dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    4. Mizutani, Daijiro & Nakazato, Yuto & Ikushima, Rie & Satsukawa, Koki & Kawasaki, Yosuke & Kuwahara, Masao, 2024. "Optimal intervention policy of emergency storage batteries for expressway transportation systems considering deterioration risk during lead time of replacement," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    5. Xiaoyue Wang & Jingxuan Wang & Ru Ning & Xi Chen, 2023. "Joint Optimization of Maintenance and Spare Parts Inventory Strategies for Emergency Engineering Equipment Considering Demand Priorities," Mathematics, MDPI, vol. 11(17), pages 1-18, August.

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