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

页数：18

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