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Improving LTL truck load utilization on line

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  • van de Klundert, Joris
  • Otten, Bernhard

Abstract

In this document we consider an optimization problem which origins from freight exchanges. The aim is to increase the utilization of already scheduled road transportation activities by accepting extra loads. Such utilization increase reduces costs for the freight sender, increases revenue for the transportation provider, and reduces congestion and pollution for the society at large. We explore various models which capture different real life problem settings. We report complexity analysis and computational results on approximation algorithms for off line, on line, and on the line versions of the problem.

Suggested Citation

  • van de Klundert, Joris & Otten, Bernhard, 2011. "Improving LTL truck load utilization on line," European Journal of Operational Research, Elsevier, vol. 210(2), pages 336-343, April.
    • Handle: RePEc:eee:ejores:v:210:y:2011:i:2:p:336-343
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    References listed on IDEAS

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    1. Anton J. Kleywegt & Jason D. Papastavrou, 1998. "Acceptance and Dispatching Policies for a Distribution Problem," Transportation Science, INFORMS, vol. 32(2), pages 127-141, May.
    2. Soumia Ichoua & Michel Gendreau & Jean-Yves Potvin, 2006. "Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching," Transportation Science, INFORMS, vol. 40(2), pages 211-225, May.
    3. Barrett W. Thomas & Chelsea C. White, 2004. "Anticipatory Route Selection," Transportation Science, INFORMS, vol. 38(4), pages 473-487, November.
    4. Anton J. Kleywegt & Jason D. Papastavrou, 1998. "The Dynamic and Stochastic Knapsack Problem," Operations Research, INFORMS, vol. 46(1), pages 17-35, February.
    5. Song, Jiongjiong & Regan, A C, 2001. "Transition or Transformation? Emerging Freight Transportation Intermediaries," University of California Transportation Center, Working Papers qt28p7z2sg, University of California Transportation Center.
    6. Jian Yang & Patrick Jaillet & Hani Mahmassani, 2004. "Real-Time Multivehicle Truckload Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 38(2), pages 135-148, May.
    7. Song, Jiongjiong & Regan, Amelia, 2005. "Approximation algorithms for the bid construction problem in combinatorial auctions for the procurement of freight transportation contracts," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 914-933, December.
    8. Soumia Ichoua & Michel Gendreau & Jean-Yves Potvin, 2000. "Diversion Issues in Real-Time Vehicle Dispatching," Transportation Science, INFORMS, vol. 34(4), pages 426-438, November.
    9. Joris van de Klundert & Laurens Wormer, 2010. "ASAP: The After-Salesman Problem," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 627-641, March.
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    Cited by:

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    3. Zäpfel, Günther & Bögl, Michael, 2012. "Two heuristic solution concepts for the vehicle selection problem in line haul transports," European Journal of Operational Research, Elsevier, vol. 217(2), pages 448-458.
    4. Yücel, Eda & Salman, F. Sibel & Erdoğan, Güneş, 2022. "Optimizing two-dimensional vehicle loading and dispatching decisions in freight logistics," European Journal of Operational Research, Elsevier, vol. 302(3), pages 954-969.

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