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Assigning delivery routes to drivers under variable customer demands

Author

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  • Haughton, Michael A.

Abstract

This study covers situations in which random day-to-day customer demands complicate decisions made by managers of vehicle routing/dispatch operations. The paper proposes and analyzes a rule to guide the decision of interest: daily assignment of delivery routes to drivers. The rule targets customer service goals by trying to maximize the likelihood that each customer will continue to be served by the driver who is most familiar with that customer. Statistical analysis of the rule yields several managerial implications about pursuing maximum customer-driver familiarity. Among these is the potentially problematic wide disparity in a customer's level of familiarity with different drivers.

Suggested Citation

  • Haughton, Michael A., 2007. "Assigning delivery routes to drivers under variable customer demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(2), pages 157-172, March.
    • Handle: RePEc:eee:transe:v:43:y:2007:i:2:p:157-172
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    Cited by:

    1. repec:dar:wpaper:62383 is not listed on IDEAS
    2. 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.
    3. Bräysy, Olli & Dullaert, Wout & Nakari, Pentti, 2009. "The potential of optimization in communal routing problems: case studies from Finland," Journal of Transport Geography, Elsevier, vol. 17(6), pages 484-490.
    4. Nolz, Pamela C. & Absi, Nabil & Feillet, Dominique & Seragiotto, Clóvis, 2022. "The consistent electric-Vehicle routing problem with backhauls and charging management," European Journal of Operational Research, Elsevier, vol. 302(2), pages 700-716.

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