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Chassis Leasing and Selection Policy for Port Operations

Author

Listed:
  • Ted Gifford

    (Engineering and Advanced Analytics, Schneider National Inc., Green Bay, Wisconsin 54313, Deceased)

  • Robert Gremley

    (Engineering and Advanced Analytics, Schneider National Inc., Green Bay, Wisconsin 54313)

Abstract

Port cargo drayage operations manage the over-the-road transport of shipping containers that arrive and depart on ocean-going container vessels at a port terminal. While on land, containers are placed on wheeled chassis until they return to the port facility. The acquisition and management of these chassis are significant operational challenges. We address a particular operating environment where chassis may be engaged either as daily rental or via a committed long-term lease at lower cost. We present and describe the implementation of a solution methodology that addresses the two decision problems that arise with this dual sourcing approach: (1) the optimal fleet size for leased chassis and (2) a real-time decision policy for selecting between rental and leased chassis as containers arrive. As we demonstrate, our solution represents an integrated approach that combines descriptive, predictive, and prescriptive analytics, and exhibits a novel interplay of optimization, simulation, and predictive modeling. We conclude with an analysis of the financial benefit that has been achieved and a discussion of the applicability of our methodology to other problem settings.

Suggested Citation

  • Ted Gifford & Robert Gremley, 2019. "Chassis Leasing and Selection Policy for Port Operations," Interfaces, INFORMS, vol. 49(4), pages 239-248, July.
  • Handle: RePEc:inm:orinte:v:49:y:2019:i:4:p:239-248
    DOI: 10.1287/inte.2019.0991
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    References listed on IDEAS

    as
    1. ManWo Ng & Wayne K. Talley, 2017. "Chassis inventory management at U.S. container ports:modelling and case study," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5394-5404, September.
    2. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    3. Hugo P. Simão & Jeff Day & Abraham P. George & Ted Gifford & John Nienow & Warren B. Powell, 2009. "An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application," Transportation Science, INFORMS, vol. 43(2), pages 178-197, May.
    4. Chassiakos, Anastasios & Jula, Hossein & VanderBeek, Timothy & Shellhammer, Matt & An, Samnang Dona, 2017. "Analysis and Optimization Methods for Centralized Processing of Chassis," Institute of Transportation Studies, Working Paper Series qt1t75c3vw, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Ng, ManWo, 2024. "Repositioning with unreliable carriers: The case of marine chassis equipment at container ports," European Journal of Operational Research, Elsevier, vol. 315(2), pages 777-785.

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