期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 111, 期 -, 页码 186-209出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2018.01.002
关键词
Rail catering; Variational inequalities; Newsvendor model; Dirac delta function; Euler algorithm
类别
资金
- National Natural Science Foundation of China [U1434207]
- Ministry of Transport of the People's Republic of China [2015-2-3]
- Science and Technology Department of China Railway Corporation [2016X005-D, 2012X011-A]
- Fundamental Research Funds for the Central Universities [2015JBZ011, 2016RC053]
This paper attempts to optimize the flow patterns in a perishable food supply chain network for a high-speed rail catering service. The proposed variational inequality models describe the uncertain demand on trains using the Newsvendor model and impose time deadline constraints on paths considering flow-dependent lead time. The constraints are then reformulated based on the Dirac delta function so that they can be directly dualized. An Euler algorithm with an Augmented Lagrangian Dual algorithm is developed to solve the model. A case study using 246 trains in the Beijing-Shanghai high-speed corridor is applied to demonstrate the applicability of the method.
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