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

被引:6
|
作者
Lin, Boliang [1 ]
Wang, Jiaxi [1 ]
Wang, Huasheng [2 ]
Wang, Zhongkai [3 ]
Li, Jian [1 ]
Lin, Ruixi [4 ]
Xiao, Jie [1 ]
Wu, Jianping [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing, Peoples R China
[2] China Acad Railway Sci, Locomot & Car Res Inst, Beijing, Peoples R China
[3] China Acad Railway Sci, Inst Comp Technol, Beijing, Peoples R China
[4] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
来源
PLOS ONE | 2017年 / 12卷 / 05期
基金
中国国家自然科学基金;
关键词
MANAGEMENT; POLICY; CLASSIFICATION; PRODUCTS; SYSTEM; CHAIN; MODEL;
D O I
10.1371/journal.pone.0176961
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:18
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