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An optimization approach for planning daily drayage operations

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Listed:
  • Yetkin Ileri
  • Mokhtar Bazaraa
  • Ted Gifford
  • George Nemhauser
  • Joel Sokol
  • Erick Wikum

Abstract

Daily drayage operations involve moving loaded or empty equipment between customer locations and rail ramps. Our goal is to minimize the cost of daily drayage operations in a region on a given day. Drayage orders are generally pickup and delivery requests with time windows. The repositioning of empty equipment may also be required in order to facilitate loaded movements. The drayage orders are satisfied by a heterogeneous fleet of drivers. Driver routes must satisfy various operational constraints. We present an optimization methodology for finding cost-effective schedules for regional daily drayage operations. The core of the formulation is a set partitioning model whose columns represent routes. Routes are added to the formulation by column generation. We present numerical results for real-world data which demonstrate that our methodology produces low cost solutions in a reasonably short time. Copyright Springer-Verlag 2006

Suggested Citation

  • Yetkin Ileri & Mokhtar Bazaraa & Ted Gifford & George Nemhauser & Joel Sokol & Erick Wikum, 2006. "An optimization approach for planning daily drayage operations," 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. 14(2), pages 141-156, June.
    • Handle: RePEc:spr:cejnor:v:14:y:2006:i:2:p:141-156
    DOI: 10.1007/s10100-006-0165-6
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    Citations

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    Cited by:

    1. Song, Yujian & Zhang, Jiantong & Liang, Zhe & Ye, Chunming, 2017. "An exact algorithm for the container drayage problem under a separation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 231-254.
    2. Fazi, Stefano & Choudhary, Sourabh Kumar & Dong, Jing-Xin, 2023. "The multi-trip container drayage problem with synchronization for efficient empty containers re-usage," European Journal of Operational Research, Elsevier, vol. 310(1), pages 343-359.
    3. Benantar, A. & Abourraja, M.N. & Boukachour, J. & Boudebous, D. & Duvallet, C., 2020. "On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    4. Xue, Ning & Bai, Ruibin & Qu, Rong & Aickelin, Uwe, 2021. "A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 292(2), pages 500-514.
    5. Bustos-Coral, Daniel & Costa, Alysson M., 2022. "Drayage routing with heterogeneous fleet, compatibility constraints, and truck load configurations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Xiaoqing Sun & Manish Garg & Zahir Balaporia & Kendall Bailey & Ted Gifford, 2014. "Optimizing Transportation by Inventory Routing and Workload Balancing: Optimizing Daily Dray Operations Across an Intermodal Freight Network," Interfaces, INFORMS, vol. 44(6), pages 579-590, December.
    7. Jennifer A. Pazour & Lucas C. Neubert, 2013. "Routing and Scheduling of Cross-Town Drayage Operations at J.B. Hunt Transport," Interfaces, INFORMS, vol. 43(2), pages 117-129, April.
    8. Escudero-Santana, Alejandro & Muñuzuri, Jesús & Cortés, Pablo & Onieva, Luis, 2021. "The one container drayage problem with soft time windows," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. Niraj Ramesh Dayama & Andreas Ernst & Mohan Krishnamoorthy & Vishnu Narayanan & Narayan Rangaraj, 2017. "New models and algorithms for the container stack rearrangement problem by yard cranes in maritime ports," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(4), pages 307-348, December.
    10. Zhang, Ruiyou & Lu, Jye-Chyi & Wang, Dingwei, 2014. "Container drayage problem with flexible orders and its near real-time solution strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 235-251.
    11. Chen, Rui & Chen, Shukai & Cui, Haipeng & Meng, Qiang, 2021. "The container drayage problem for heterogeneous trucks with multiple loads: A revisit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    12. Lahyani, Rahma & Khemakhem, Mahdi & Semet, Frédéric, 2015. "Rich vehicle routing problems: From a taxonomy to a definition," European Journal of Operational Research, Elsevier, vol. 241(1), pages 1-14.
    13. Samaneh Shiri & Nathan Huynh & Daniel Smith & Frank Harder, 2022. "Impact of Second-Tier Container Port Facilities on Drayage Operation," Logistics, MDPI, vol. 6(4), pages 1-21, September.
    14. Ehsan Khodabandeh & Lawrence V. Snyder & John Dennis & Joshua Hammond & Cody Wanless, 2022. "C.H. Robinson Uses Heuristics to Solve Rich Vehicle Routing Problems," Interfaces, INFORMS, vol. 52(2), pages 173-188, March.
    15. Nossack, Jenny & Pesch, Erwin, 2013. "A truck scheduling problem arising in intermodal container transportation," European Journal of Operational Research, Elsevier, vol. 230(3), pages 666-680.

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