An optimization model for express delivery with high-speed railway

•A model is proposed for express delivery with high-speed railway.•The model is formulated on two-stage basis.•A meta-heuristic is designed to solve the model.•Case study based on railway company is conducted. With the expansion of the high-speed railway (HSR) network in China, high-speed rail expre...

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Vydáno v:	Transportation research. Part E, Logistics and transportation review Ročník 176; s. 103206
Hlavní autoři:	Zhen, Lu, Fan, Tianyi, Li, Haolin, Wang, Shuaian, Tan, Zheyi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2023
Témata:	Freight flow allocation High-speed rail express delivery Meta-heuristic solution approach Transportation resources arrangement Two-stage stochastic programming model Two-stage stochastic programming model Transportation resources arrangement High-speed rail express delivery Freight flow allocation Meta-heuristic solution approach
ISSN:	1366-5545, 1878-5794
On-line přístup:	Získat plný text
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Popis
Shrnutí:	•A model is proposed for express delivery with high-speed railway.•The model is formulated on two-stage basis.•A meta-heuristic is designed to solve the model.•Case study based on railway company is conducted. With the expansion of the high-speed railway (HSR) network in China, high-speed rail express delivery (HSReD) is being used to satisfy the increasing demand for express cargo. The decisions on transportation resources arrangement and freight flow allocation are two of the key issues for practical implementation of HSReD. In this study, we examine the above key issues by developing a two-stage stochastic integer linear programming model to maximize the expected net operation profit of HSReD. A meta-heuristic solution approach introduced some tailored tactics is proposed to speed up the process of solving the above model in the large-scale instances. Numerical experiments based on different sizes and practical investigation on China Railway Nanchang Group are conducted to validate the effectiveness of the proposed model and solution approach. Some managerial implications are also obtained based on the sensitivity analysis, which may be potentially useful for optimizing the daily operation management of HSReD.
ISSN:	1366-5545 1878-5794
DOI:	10.1016/j.tre.2023.103206