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Robust collaborative maintenance logistics network design and planning

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  • Tavakoli Kafiabad, Shayan
  • Zanjani, Masoumeh Kazemi
  • Nourelfath, Mustapha

Abstract

Maintenance service providers to advanced technical devices are confronted with uncertain demand, high cost of components, and the need for certified operators. Collaboration in terms of sharing scarce resources among different facilities in a maintenance logistics network is expected to reduce the delays in the delivery of repaired devices. This study proposes a two-stage robust optimization model for collaborative design and planning of maintenance networks under demand uncertainty. The goal of this model is to determine the optimal allocation of customers to each maintenance center along with the initial stock level of different components in each facility so as to minimize the cost of late deliveries under worst-case demand scenarios. Component and operator sharing strategies are proposed as the recourse actions in this model to hedge against the demand surge. The proposed approach is compared with a deterministic model by the aid of Monte-Carlo simulation on several test instances inspired by a real case study. Our numerical experiments demonstrate the significance of adopting the proposed collaborative mechanisms among maintenance facilities in terms of cost reduction, especially when the demand fluctuation is relatively high.

Suggested Citation

  • Tavakoli Kafiabad, Shayan & Zanjani, Masoumeh Kazemi & Nourelfath, Mustapha, 2022. "Robust collaborative maintenance logistics network design and planning," International Journal of Production Economics, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:proeco:v:244:y:2022:i:c:s0925527321003467
    DOI: 10.1016/j.ijpe.2021.108370
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    References listed on IDEAS

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    Cited by:

    1. Alikhani, Reza & Eskandarpour, Majid & Jahani, Hamed, 2023. "Collaborative distribution network design with surging demand and facility disruptions," International Journal of Production Economics, Elsevier, vol. 262(C).
    2. Mehryar, Mehdi & Hafezalkotob, Ashkan & Azizi, Amir & Sobhani, Farzad Movahedi, 2023. "Dynamic zoning of the network using cooperative transmission and maintenance planning: A solution for sustainability of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Zhengying Cai & Yuanyuan Yang & Xiangling Zhang & Yan Zhou, 2022. "Design a Robust Logistics Network with an Artificial Physarum Swarm Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

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