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Rich vehicle routing with auxiliary depots and anticipated deliveries: An application to pharmaceutical distribution

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  • Kramer, Raphael
  • Cordeau, Jean-François
  • Iori, Manuel

Abstract

We present and solve a rich vehicle routing problem based on a practical distribution problem faced by a third-party logistics provider, whose aim is to deliver pharmaceutical products to healthcare facilities in Tuscany. The problem is characterized by having multiple depots, a heterogeneous fleet of vehicles, flexible time windows, periodic demands, incompatibilities between vehicles and customers, a maximum duration for the routes, and a maximum number of customers per route. A multi-start iterated local search algorithm making use of several neighborhoods is proposed to solve the problem. The algorithm has been tested on a large number of instances and obtained good results, both on the real case study and on a number of artificially generated instances.

Suggested Citation

  • Kramer, Raphael & Cordeau, Jean-François & Iori, Manuel, 2019. "Rich vehicle routing with auxiliary depots and anticipated deliveries: An application to pharmaceutical distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 162-174.
    • Handle: RePEc:eee:transe:v:129:y:2019:i:c:p:162-174
    DOI: 10.1016/j.tre.2019.07.012
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    Cited by:

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    2. Xiaodan Wu & Ruichang Li & Chao-Hsien Chu & Richard Amoasi & Shan Liu, 2022. "Managing pharmaceuticals delivery service using a hybrid particle swarm intelligence approach," Annals of Operations Research, Springer, vol. 308(1), pages 653-684, January.
    3. Yang, Fei & Dai, Ying & Ma, Zu-Jun, 2020. "A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    4. Zhao Li & Tie Xia & Wanzhi Shen & Sheng Chen, 2022. "Research on Co-Opetition Mechanism between Pharmaceutical Enterprises and Third-Party Logistics in Drug Distribution of Medical Community," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    5. 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.

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