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New mixed integer-programming model for the pickup-and-delivery problem with transshipment

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  • Rais, A.
  • Alvelos, F.
  • Carvalho, M.S.

Abstract

In recent years, many important real-world applications are studied as “rich” vehicle routing problems that are variants and generalizations of the well-known vehicle routing problem. In this paper we address the pickup-and-delivery version of this problem and consider further generalization by allowing transshipment in the network. Moreover, we allow heterogenous vehicles and flexible fleet size. We describe mixed integer-programming formulations for the problem with and without time windows for services. The number of constraints and variables in the models are bounded by polynomial size of the problem. We discuss several problem variants that are either captured by our models or can be easily captured through simple modifications. Computational work gave promising results and confirms that transshipment in network can indeed enhance optimization.

Suggested Citation

  • Rais, A. & Alvelos, F. & Carvalho, M.S., 2014. "New mixed integer-programming model for the pickup-and-delivery problem with transshipment," European Journal of Operational Research, Elsevier, vol. 235(3), pages 530-539.
  • Handle: RePEc:eee:ejores:v:235:y:2014:i:3:p:530-539
    DOI: 10.1016/j.ejor.2013.10.038
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    17. Max Leyerer & Marc-Oliver Sonneberg & Maximilian Heumann & Tim Kammann & Michael H. Breitner, 2019. "Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
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    19. Lyu, Zefeng & Yu, Andrew Junfang, 2023. "The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation," European Journal of Operational Research, Elsevier, vol. 305(1), pages 260-270.
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