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A concise guide to existing and emerging vehicle routing problem variants

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  • Vidal, Thibaut
  • Laporte, Gilbert
  • Matl, Piotr

Abstract

Vehicle routing problems have been the focus of extensive research over the past sixty years, driven by their economic importance and their theoretical interest. The diversity of applications has motivated the study of a myriad of problem variants with different attributes. In this article, we provide a concise overview of existing and emerging problem variants. Models are typically refined along three lines: considering more relevant objectives and performance metrics, integrating vehicle routing evaluations with other tactical decisions, and capturing fine-grained yet essential aspects of modern supply chains. We organize the main problem attributes within this structured framework. We discuss recent research directions and pinpoint current shortcomings, recent successes, and emerging challenges.

Suggested Citation

  • Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    • Handle: RePEc:eee:ejores:v:286:y:2020:i:2:p:401-416
    DOI: 10.1016/j.ejor.2019.10.010
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    10. Herminia I. Calvete & Carmen Galé & José A. Iranzo & Paolo Toth, 2020. "A Partial Allocation Local Search Matheuristic for Solving the School Bus Routing Problem with Bus Stop Selection," Mathematics, MDPI, vol. 8(8), pages 1-20, July.
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    15. Rodrigo Linfati & Fernando Yáñez-Concha & John Willmer Escobar, 2022. "Mathematical Models for the Vehicle Routing Problem by Considering Balancing Load and Customer Compactness," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    16. D. G. N. D. Jayarathna & G. H. J. Lanel & Z. A. M. S. Juman, 2022. "Industrial vehicle routing problem: a case study," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-27, December.
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    18. Bayliss, Christopher & Bektaş, Tolga & Tjon-Soei-Len, Vernon & Rohner, Remo, 2023. "Designing a multi-modal and variable-echelon delivery system for last-mile logistics," European Journal of Operational Research, Elsevier, vol. 307(2), pages 645-662.
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    20. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    21. Alexander Jungwirth & Guy Desaulniers & Markus Frey & Rainer Kolisch, 2022. "Exact Branch-Price-and-Cut for a Hospital Therapist Scheduling Problem with Flexible Service Locations and Time-Dependent Location Capacity," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1157-1175, March.
    22. Jianling Chen & Kun Wang & Yihai Huang, 2021. "An integrated inbound logistics mode with intelligent scheduling of milk-run collection, drop and pull delivery and LNG vehicles," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2257-2265, December.

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