文献类型：期刊文献

英文题名：A two-stage stochastic programming model for rail-truck intermodal network design with uncertain customer demand

作者：Li, Shu-Xia[1];Sun, Si-Fan[1];Wang, Yi-Quan[1];Wu, Yi-Fan[1];Liu, Li-Ping[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

年份：2017

卷号：20

期号：3

起止页码：611

外文期刊名：JOURNAL OF INTERDISCIPLINARY MATHEMATICS

收录：EI(收录号：20173604115190);WOS:【ESCI(收录号:WOS:000416826800003)】；

基金：This research is supported by the National Natural Science Foundation of China under Grant 71431004, 71302043, 71471062 and 71001039.

语种：英文

外文关键词：Intermodal network design; Uncertain customer demand; Two-stage stochastic programming model

摘要：With the globalization of supply chains, intermodal operations have become a key player in transportation. In real life, the consumer's demands are often uncertain. The recent literature is rich of papers that either emphasizes on uncertain customer demands or intermodal transportation planning. In this paper, we combine these two fields in order to identify new potentials for saving cost and improving the efficiency of intermodal logistics network. A two stage stochastic programming model was proposed to decide the terminal location and transportation routes under uncertain customer demands. And the AP data set is used to test the presented model. The result is compared with the traditional counterparts, which shows superiority in solution quantity under uncertain environment.