Simulation-based optimisation approach for the stochastic two-echelon logistics problem

Ran Liu, Yangyi Tao, Qiaoyu Hu and Xiaolei Xie

International Journal of Production Research, 2017, vol. 55, issue 1, 187-201

Abstract: This work proposes a simulation-based optimisation approach for the two-echelon vehicle routing problem with stochastic demands (2E-VRPSD). In the proposed 2E-VRPSD, freight delivery from the depot to the customers is managed by shipping the freight through intermediate satellites, while each customer has a stochastic demand. The 2E-VRPSD is an extension of the famous capacitated vehicle routing problem with stochastic demands and the two-echelon vehicle routing problem (2E-VRP). A tabu search algorithm is designed to solve the 2E-VRPSD, in which Monte Carlo sampling is adopted to tackle the issue of stochastic demands. Modified two-echelon vehicle routing problem benchmark instances are used in the numerical experiments. The computational results show the advantage of the proposed simulation-based approach.

Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1080/00207543.2016.1201221

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