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Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains

Author

Listed:
  • Boliang Lin
  • Jiaxi Wang
  • Huasheng Wang
  • Zhongkai Wang
  • Jian Li
  • Ruixi Lin
  • Jie Xiao
  • Jianping Wu

Abstract

This paper presents a 0–1 programming model aimed at obtaining the optimal inventory policy and transportation mode for maintenance spare parts of high-speed trains. To obtain the model parameters for occasionally-replaced spare parts, a demand estimation method based on the maintenance strategies of China’s high-speed railway system is proposed. In addition, we analyse the shortage time using PERT, and then calculate the unit time shortage cost from the viewpoint of train operation revenue. Finally, a real-world case study from Shanghai Depot is conducted to demonstrate our method. Computational results offer an effective and efficient decision support for inventory managers.

Suggested Citation

  • Boliang Lin & Jiaxi Wang & Huasheng Wang & Zhongkai Wang & Jian Li & Ruixi Lin & Jie Xiao & Jianping Wu, 2017. "Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0176961
    DOI: 10.1371/journal.pone.0176961
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    References listed on IDEAS

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    Cited by:

    1. Dezhi Zhang & Shuxin Yang & Shuangyan Li & Jiajun Fan & Bin Ji, 2020. "Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations," Sustainability, MDPI, vol. 12(13), pages 1-25, July.

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