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Joint Optimisation on Maintenance Policy and Resources for Multi-unit Parallel Production System

Gao, Wenke, Yang, Tianshu, Chen, Le, Wu, Shaomin (2021) Joint Optimisation on Maintenance Policy and Resources for Multi-unit Parallel Production System. Computers and Industrial Engineering, . Article Number 107491. ISSN 0360-8352. (doi:10.1016/j.cie.2021.107491) (KAR id:88773)


Multi-unit parallel production systems (MuPPSs) widely exist in many industry areas. A general requirement for the MuPPS is that each production system should continuously run and its downtime should be as short as feasible. For such systems, optimising preventive maintenance (PM) policy is crucial so that resources such as the number of spare units and that of repairmen can be optimally used. On this basis, this paper develops an optimal model jointly optimising the PM policy and the number of repairmen and spare units, for which the genetic algorithm is used to determine the optimal displacement sequence of spare units. According to the developed model, a real case study of a train working line is presented to demonstrate its necessity. Finally, the sensitivity analysis is conducted to assess the influence of some parameters on the optimal results.

Item Type: Article
DOI/Identification number: 10.1016/j.cie.2021.107491
Uncontrolled keywords: Joint optimisation; Maintenance policy; Maintenance resource; Multi-unit parallel production system; Transportation system
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 21 Jun 2021 09:10 UTC
Last Modified: 21 Dec 2022 00:00 UTC
Resource URI: (The current URI for this page, for reference purposes)

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