Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains
Boliang Lin1, Jiaxi Wang1, Huasheng Wang2
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, People's Republic of China.
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.
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