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Improved Collaborative Transport Planning at Dutch Logistics Service Provider Fritom

Author

Listed:
  • Paul Buijs

    (Department of Operations, University of Groningen, 9700 AV Groningen, Netherlands)

  • Jose Alejandro Lopez Alvarez

    (Department of Operations, University of Groningen, 9700 AV Groningen, Netherlands)

  • Marjolein Veenstra

    (Department of Operations, University of Groningen, 9700 AV Groningen, Netherlands)

  • Kees Jan Roodbergen

    (Department of Operations, University of Groningen, 9700 AV Groningen, Netherlands)

Abstract

We study the collaborative transport planning for two autonomous business units of Fritom, a Dutch logistics service provider. This difficult planning problem does not fit any existing type of vehicle routing problem proposed in the academic literature; therefore, we define a new problem class, the generalized pickup and delivery problem . We also propose and evaluate methods to structure and improve Fritom’s existing collaborative transport planning process. Using an extensive real-world data set from Fritom, our experiments show that our proposed methods significantly outperform Fritom’s collaborative planning approach in total travel distance. We formulate managerial recommendations for Fritom and describe the implementation process for these recommendations. Finally, we present several recommendations for future research.

Suggested Citation

  • Paul Buijs & Jose Alejandro Lopez Alvarez & Marjolein Veenstra & Kees Jan Roodbergen, 2016. "Improved Collaborative Transport Planning at Dutch Logistics Service Provider Fritom," Interfaces, INFORMS, vol. 46(2), pages 119-132, April.
    • Handle: RePEc:inm:orinte:v:46:y:2016:i:2:p:119-132
    DOI: 10.1287/inte.2015.0838
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    References listed on IDEAS

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    Cited by:

    1. Margaretha Gansterer & Richard F. Hartl & Philipp E. H. Salzmann, 2018. "Exact solutions for the collaborative pickup and delivery problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 357-371, June.
    2. Zahra Sadat Hasanpour Jesri & Kourosh Eshghi & Majid Rafiee & Tom Van Woensel, 2022. "The Multi-Depot Traveling Purchaser Problem with Shared Resources," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    3. Gansterer, Margaretha & Hartl, Richard F. & Savelsbergh, Martin, 2020. "The value of information in auction-based carrier collaborations," International Journal of Production Economics, Elsevier, vol. 221(C).
    4. Gansterer, Margaretha & Hartl, Richard F., 2018. "Collaborative vehicle routing: A survey," European Journal of Operational Research, Elsevier, vol. 268(1), pages 1-12.
    5. Zhang, Qihuan & Wang, Ziteng & Huang, Min & Yu, Yang & Fang, Shu-Cherng, 2022. "Heterogeneous multi-depot collaborative vehicle routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 160(C), pages 1-20.
    6. Christian Haket & Bo van der Rhee & Jacques de Swart, 2020. "Saving Time and Money and Reducing Carbon Dioxide Emissions by Efficiently Allocating Customers," Interfaces, INFORMS, vol. 50(3), pages 153-165, May.

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