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Optimizing Transportation by Inventory Routing and Workload Balancing: Optimizing Daily Dray Operations Across an Intermodal Freight Network

Author

Listed:
  • Xiaoqing Sun

    (Schneider National Inc., Green Bay, Wisconsin 54306)

  • Manish Garg

    (Schneider National Inc., Green Bay, Wisconsin 54306)

  • Zahir Balaporia

    (Schneider National Inc., Green Bay, Wisconsin 54306)

  • Kendall Bailey

    (Schneider National Inc., Green Bay, Wisconsin 54306)

  • Ted Gifford

    (Schneider National Inc., Green Bay, Wisconsin 54306)

Abstract

In rail-based intermodal freight operations, full containers are moved by truck from shipper locations to rail ramps, transported via train to destination ramps, and then moved again by truck to consignee locations. We commonly refer to the roadway portions of this activity as dray operations. In a large metropolitan hub area, such as Chicago or Los Angeles, this drayage activity may involve several hundred drivers and up to 500 daily container moves to or from several distinct rail ramps. Both cost and environmental considerations drive the need to maximize driver productivity and minimize the time and miles not directly associated with moving loaded containers to or from rail ramps. In this paper, we describe a solution to this problem using a set-partitioning formulation and column-generation heuristic and report on a large-scale implementation. We focus on real-world implementation details that include (1) fast solve times to support near-real-time re-solving in the face of constantly changing data, (2) adjustments to account for traffic congestion and other operational considerations, and (3) integration with a commercial transportation management system to provide real-time data to the optimizer and to send solution recommendations to a driver-assignment process.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:6:p:579-590
    DOI: 10.1287/inte.2014.0746
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    References listed on IDEAS

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    1. Namboothiri, Rajeev & Erera, Alan L., 2008. "Planning local container drayage operations given a port access appointment system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 185-202, March.
    2. Martin Savelsbergh & Marc Sol, 1998. "Drive: Dynamic Routing of Independent Vehicles," Operations Research, INFORMS, vol. 46(4), pages 474-490, August.
    3. 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.
    4. Martin Desrochers & Jacques Desrosiers & Marius Solomon, 1992. "A New Optimization Algorithm for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 40(2), pages 342-354, April.
    5. Alan L. Erera & Juan C. Morales & Martin Savelsbergh, 2009. "Robust Optimization for Empty Repositioning Problems," Operations Research, INFORMS, vol. 57(2), pages 468-483, April.
    6. Roberto Baldacci & Enrico Bartolini & Aristide Mingozzi, 2011. "An Exact Algorithm for the Pickup and Delivery Problem with Time Windows," Operations Research, INFORMS, vol. 59(2), pages 414-426, April.
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    1. 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).

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