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On the multi-period combined maintenance and routing optimisation problem

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  • Eduyn López-Santana
  • Germán Méndez
  • Carlos Franco

Abstract

This paper focuses on the combined maintenance and routing optimisation problem in a multi-period environment that consists of scheduling maintenance operations for a set of geographically distributed machines, subject to non-deterministic failures with a set of technicians that perform preventive maintenance and corrective operations. This study uses a two-step approach based on column generation. The first step consists of a maintenance model that determines the optimal time until the next preventive maintenance operation, and each machine’s maintenance frequency while minimising the total expected maintenance costs. The second step involves a routing model that assigns and schedules maintenance operations for each technician over the planning horizon while minimising the routing and maintenance costs. We formulate the second step problem as a periodic vehicle routing problem and to solve it, we propose a column generation approach. The master problem is a set partitioning formulation that indicates which machines must be visited in the planning horizon. This decomposition has two auxiliary problems: the first one is an elementary shortest-path problem to find a feasible path for each period and the second one finds a set of visiting periods for each machine. Our approach balances the maintenance cost, routing cost, and failure probabilities.

Suggested Citation

  • Eduyn López-Santana & Germán Méndez & Carlos Franco, 2023. "On the multi-period combined maintenance and routing optimisation problem," International Journal of Production Research, Taylor & Francis Journals, vol. 61(23), pages 8265-8290, December.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:23:p:8265-8290
    DOI: 10.1080/00207543.2023.2180301
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    Cited by:

    1. Si, Guojin & Xia, Tangbin & Li, Yaping & Wang, Dong & Chen, Zhen & Pan, Ershun & Xi, Lifeng, 2023. "Resource allocation and maintenance scheduling for distributed multi-center renewable energy systems considering dynamic scope division," Renewable Energy, Elsevier, vol. 217(C).

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