Scheming preventive maintenance assignments for mass rapid transit (MRT): Taoyuan Metro MRT system

AbstractMass rapid transit (MRT) maintenance systems enable owners to make optimal decisions for site selection and preventive maintenance plans while considering the total operating costs. To ensure that the MRT planning system is effective, it is essential to construct a maintenance cost plan. This study implements the mathematical planning method to establish a comprehensive plan for route maintenance and preventive maintenance for the Taoyuan MRT based on the minimum total operating cost as the target, and meets the practical emergency repair time limit, site location distance and other relevant constraints. This study developed and evaluated novel heuristic algorithms with CPLEX software. Sensitivity analysis was also conducted to test the model's effectiveness. The proposed model establishes the optimum maintenance cost and finds the critical parameters that affect overall cost within 1% error, maintaining service quality. The proposed model is an accurate tool for engineers to reduce time-consuming procedures.KEYWORDS: MRT maintenance baselocation selectionpreventive maintenance assignmentmathematical programmingheuristic algorithm AcknowledgementsThis article was partly supported by the Ministry of Science and Technology (MOST) and National Science and Technology Council (NSTC), Taiwan, under the project for promoting academic excellence at universities. Any opinions, findings, conclusions and recommendations expressed in this article are those of the authors and do not necessarily reflect the views of the MOST/NSTC.Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementAll data and models used in the study appear in the published article.Additional informationFundingThis article was partly supported by the Ministry of Science and Technology (MOST) and National Science and Technology Council (NSTC), Taiwan, under the project for promoting academic excellence at universities [grant numbers NSTC 111-2221-E-008-027-MY3, 111-2622-E-008-017, MOST 110-2221-E-008-052-MY3, 110-2622-E-008-018-CC2 and 109-2622-E-008-018-CC2].