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A Systematic Literature Review of Vehicle Routing Problems with Time Windows

Author

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  • Xiaobo Liu

    (Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Yen-Lin Chen

    (Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 106344, Taiwan)

  • Lip Yee Por

    (Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Chin Soon Ku

    (Department of Computer Science, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia)

Abstract

Vehicle routing problems with time windows (VRPTW) have gained a lot of attention due to their important role in real-life logistics and transport. As a result of the complexity of real-life situations, most problems are multi-constrained and multi-objective, which increases their difficulty. The aim of this paper is to contribute to the effective solution of VRPTW-related problems. Therefore, research questions and objectives are set in accordance with PRISMA guidelines, and data extraction and analysis of the relevant literature within the last five years (2018–2022) are compared to answer the set research questions. The results show that approximately 86% of the algorithms involved in the literature are approximate methods, with more meta-heuristics than heuristics, and nearly 40% of the literature uses hybrid methods combining two or more algorithms.

Suggested Citation

  • Xiaobo Liu & Yen-Lin Chen & Lip Yee Por & Chin Soon Ku, 2023. "A Systematic Literature Review of Vehicle Routing Problems with Time Windows," Sustainability, MDPI, vol. 15(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:12004-:d:1210691
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    References listed on IDEAS

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    1. Ciancio, Claudio & Laganá, Demetrio & Vocaturo, Francesca, 2018. "Branch-price-and-cut for the Mixed Capacitated General Routing Problem with Time Windows," European Journal of Operational Research, Elsevier, vol. 267(1), pages 187-199.
    2. Hoogeboom, Maaike & Dullaert, Wout, 2019. "Vehicle routing with arrival time diversification," European Journal of Operational Research, Elsevier, vol. 275(1), pages 93-107.
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    3. Muhammad Syafrudin & Ganjar Alfian & Norma Latif Fitriyani & Muhammad Anshari, 2024. "Applied Artificial Intelligence for Sustainability," Sustainability, MDPI, vol. 16(6), pages 1-5, March.

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