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Vehicle routing using fixed delivery areas

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  • Wong, KF
  • Beasley, JE

Abstract

In this paper we consider the problem of vehicle routing using fixed delivery areas. This is the problem of splitting the area serviced by a depot into a number of separate subareas--a single delivery vehicle being assigned to each subarea to supply all the customers within the subarea. A heuristic algorithm is developed for the problem based upon an initial allocation of customers to subareas followed by customer interchanges in an attempt to improve the subareas. Computational results are presented for a number of test problems drawn from the literature.

Suggested Citation

  • Wong, KF & Beasley, JE, 1984. "Vehicle routing using fixed delivery areas," Omega, Elsevier, vol. 12(6), pages 591-600.
  • Handle: RePEc:eee:jomega:v:12:y:1984:i:6:p:591-600
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    Cited by:

    1. 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.
    2. Schneider, M., 2016. "The vehicle-routing problem with time windows and driver-specific times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65941, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Huang, Yixiao & Savelsbergh, Martin & Zhao, Lei, 2018. "Designing logistics systems for home delivery in densely populated urban areas," Transportation Research Part B: Methodological, Elsevier, vol. 115(C), pages 95-125.
    4. Michael Schneider & Andreas Stenger & Fabian Schwahn & Daniele Vigo, 2015. "Territory-Based Vehicle Routing in the Presence of Time-Window Constraints," Transportation Science, INFORMS, vol. 49(4), pages 732-751, November.
    5. Bender, Matthias & Kalcsics, Jörg & Meyer, Anne, 2020. "Districting for parcel delivery services – A two-Stage solution approach and a real-World case study," Omega, Elsevier, vol. 96(C).
    6. Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    7. Karen Smilowitz & Maciek Nowak & Tingting Jiang, 2013. "Workforce Management in Periodic Delivery Operations," Transportation Science, INFORMS, vol. 47(2), pages 214-230, May.
    8. Doppstadt, C. & Koberstein, A. & Vigo, D., 2016. "The Hybrid Electric Vehicle – Traveling Salesman Problem," European Journal of Operational Research, Elsevier, vol. 253(3), pages 825-842.
    9. Hongsheng Zhong & Randolph W. Hall & Maged Dessouky, 2007. "Territory Planning and Vehicle Dispatching with Driver Learning," Transportation Science, INFORMS, vol. 41(1), pages 74-89, February.

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