Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems. (February 2023)

• Record Type: Journal Article
• Authors: Li, Yaping; Xia, Tangbin; Chen, Zhen; Pan, Ershun
• Is Part Of: Reliability engineering & system safety. Volume 230(2023)
• Publication Date: 2023-02
• Subjects: Multiple degradation-driven preventive maintenance policy -- Production rate degradation -- Opportunistic maintenance -- Serial-parallel multi-station manufacturing system; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2022.108905
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: An MDPM policy considering two types of degradation is proposed for the SMMSs. A PR evolution model is developed. The maintenance efficiency with the deteriorating PR considered is proposed as one objective of the optimization model for the station-level PM policy. The MDPM scheduling process and related mathematical expressions about the unplanned CM are formulated. Three decision rules are suggested for the system-level decision of the MDPM policy. Abstract: Machine reliability degradation is common in production systems; besides, machine production rate (PR) degradation also widely occurs as the systems deteriorate. The PR has an essential impact on the capacity of the systems. However, the few efforts involving the capacity requirements in preventive maintenance (PM) policies have not yet taken PR degradation into account, assuming all the PRs are constant. It is necessary for PM policies to consider the dynamic capacity caused by the deteriorating PR. With the two types of degradation involved, a multiple degradation-driven preventive maintenance (MDPM) policy for the serial-parallel multi-station manufacturing systems (SMMS) is proposed. Since PM has an impact on PR each time it is executed, an evolution model of PR, with the imperfect maintenance effect considered, is developed. The capacity efficiency based on deteriorating PR is put forward. By maximizing capacity efficiency and minimizing cost rate, a station-level PM optimization model is proposed. Then, the process of the MDPM scheduling is formulated, where three rules, including minimum remaining time, maintenance time window and capacity balance, are suggested for the system-level decision. Finally, the case study is illustrated to show the application of the PR evolution model and the advantages of the proposed MDPM policy.