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Multidepot Distribution Planning at Logistics Service Provider Nabuurs B.V

Author

Listed:
  • Emrah Demir

    (School of Industrial Engineering, Eindhoven University of Technology, 5612 Eindhoven, The Netherlands)

  • Tom Van Woensel

    (School of Industrial Engineering, Eindhoven University of Technology, 5612 Eindhoven, The Netherlands)

  • Ton de Kok

    (School of Industrial Engineering, Eindhoven University of Technology, 5612 Eindhoven, The Netherlands)

Abstract

Distribution networks of many logistics service providers have evolved from single-depot to complex, dynamic multidepot networks. In a single-depot network, the deliveries from each depot are planned for that depot only, and drivers return to the starting depot to pick up each new order. In a multidepot network, the deliveries from multiple depots can be planned simultaneously; therefore, a logistics service provider can efficiently combine its resources, thus reducing its labor and transport costs. However, an increasing emphasis on reliability, customization, and flexibility is affecting the logistics structures. This paper describes the shift from single-depot planning to multidepot planning for Nabuurs B.V., a large Benelux logistics service provider that implemented a centralized, automated multidepot planning process throughout its organization. We developed a simulation model to evaluate system performance and to address performance challenges. In this paper, we discuss the results of extensive simulation tests and the specific recommendations that Nabuurs B.V. management implemented.

Suggested Citation

  • Emrah Demir & Tom Van Woensel & Ton de Kok, 2014. "Multidepot Distribution Planning at Logistics Service Provider Nabuurs B.V," Interfaces, INFORMS, vol. 44(6), pages 591-604, December.
  • Handle: RePEc:inm:orinte:v:44:y:2014:i:6:p:591-604
    DOI: 10.1287/inte.2014.0742
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    References listed on IDEAS

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    1. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    2. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    3. Jean-François Cordeau, 2006. "A Branch-and-Cut Algorithm for the Dial-a-Ride Problem," Operations Research, INFORMS, vol. 54(3), pages 573-586, June.
    4. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    5. Patrick Schittekat & Kenneth Sörensen, 2009. "OR Practice---Supporting 3PL Decisions in the Automotive Industry by Generating Diverse Solutions to a Large-Scale Location-Routing Problem," Operations Research, INFORMS, vol. 57(5), pages 1058-1067, October.
    6. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
    7. Goos Kant & Michael Jacks & Corné Aantjes, 2008. "Coca-Cola Enterprises Optimizes Vehicle Routes for Efficient Product Delivery," Interfaces, INFORMS, vol. 38(1), pages 40-50, February.
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    Cited by:

    1. 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.
    2. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.
    3. Madu, Christian N. & Kuei, Chu-hua & Ozumba, Benjamin C. & Nnadi, Valentine E. & Madu, Ifeanyi E. & Ezeasor, Ikenna C., 2018. "Using the DPSIR framework and data analytics to analyze oil spillages in the Niger delta area," Land Use Policy, Elsevier, vol. 78(C), pages 78-90.

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