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Chassis inventory management at U.S. container ports:modelling and case study

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  • ManWo Ng
  • Wayne K. Talley

Abstract

Recently, marine container chassis have emerged at the forefront of container port operations in the United States, after shipping lines stopped providing chassis as part of their service. With the operation and management responsibilities transferred to new parties, chassis dislocation has been a major problem across the United States. To ensure chassis availability, one response has been the creation of so-called neutral chassis pools, introducing new challenges for container port operations. This paper presents a mathematical model that can be used to objectively support the management and planning of neutral chassis pools. An empirical case study is provided to illustrate the model.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:18:p:5394-5404
    DOI: 10.1080/00207543.2017.1315193
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    References listed on IDEAS

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    1. Talley, Wayne K. & Ng, ManWo, 2013. "Maritime transport chain choice by carriers, ports and shippers," International Journal of Production Economics, Elsevier, vol. 142(2), pages 311-316.
    2. Talley, Wayne K. & Ng, ManWo, 2016. "Port economic cost functions: A service perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 1-10.
    3. Le-Griffin, Hanh D. & Mai, Lam & Griffin, Mark, 2011. "Impact of container chassis management practices in the United States on terminal operational efficiency: An operations and mitigation policy analysis," Research in Transportation Economics, Elsevier, vol. 32(1), pages 90-99.
    4. Lin, Dung-Ying & Tsai, Yu-Yun, 2014. "The ship routing and freight assignment problem for daily frequency operation of maritime liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 52-70.
    5. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    6. Yip, Tsz Leung & Sun, Xin Yu & Liu, John J., 2011. "Group and individual heterogeneity in a stochastic frontier model: Container terminal operators," European Journal of Operational Research, Elsevier, vol. 213(3), pages 517-525, September.
    7. Wang, Shuaian, 2015. "Optimal sequence of container ships in a string," European Journal of Operational Research, Elsevier, vol. 246(3), pages 850-857.
    8. Ng, ManWo, 2015. "Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 79-87.
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    Cited by:

    1. Ted Gifford & Robert Gremley, 2019. "Chassis Leasing and Selection Policy for Port Operations," Interfaces, INFORMS, vol. 49(4), pages 239-248, July.
    2. 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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