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Heuristic estimation of container stacking and reshuffling operations under the containership delay factor and mega-ship challenge

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  • Amir Gharehgozli
  • Joan P. Mileski
  • Okan Duru

Abstract

This paper addresses a highly researched area, the reshuffling problem in ports, using a new paradigm-modified containership service order in light of credit risk assessment. Container stacking and reshuffling operations can cause ship delays and additional risk. In deep-sea terminals, outbound containers are tightly stacked according to the retrieval sequence. Due to lack of space, terminals stack containers in multiple tiers. This means any delay in the arrival of a ship can impose extra handlings and reshuffling of containers delaying future cargo handling. This paper addresses the reshuffling problem with a concept similar to the credit scoring and rating of creditworthiness used in the banking industry. By utilizing this comparison to the banking credit risk concept, a heuristic estimation model is proposed that illustrates the side effects of unscheduled modifications in containership service order. Further, the mega-ship trend amplifies the reshuffling debate. Probability of delay, reshuffles given delay, and call size at delay are introduced as the three-point risk metrics of the model. Numerical simulations illustrate the functionality to develop terminal stacking strategies as well as emphasize the mega-ship phenomenon and its side effects on terminals (i.e. yard operation deadlock).

Suggested Citation

  • Amir Gharehgozli & Joan P. Mileski & Okan Duru, 2017. "Heuristic estimation of container stacking and reshuffling operations under the containership delay factor and mega-ship challenge," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(3), pages 373-391, April.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:3:p:373-391
    DOI: 10.1080/03088839.2017.1295328
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    References listed on IDEAS

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    1. Itf, 2015. "The Impact of Mega-Ships," International Transport Forum Policy Papers 10, OECD Publishing.
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    Cited by:

    1. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    2. Nima Zaerpour & Amir Gharehgozli & René De Koster, 2019. "Vertical Expansion: A Solution for Future Container Terminals," Transportation Science, INFORMS, vol. 53(5), pages 1235-1251, September.
    3. Milan Janić, 2018. "Multidimensional examination of the performances of a liner shipping network: trunk line/route operated by conventional (Panamax Max) and mega (ULC - ultra large container) ships," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-35, December.
    4. Amir Gharehgozli & Debjit Roy & Suruchika Saini & Jan-Kees Ommeren, 2023. "Loading and unloading trains at the landside of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 549-575, September.
    5. Gharehgozli, Amir & Yu, Yugang & de Koster, René & Du, Shaofu, 2019. "Sequencing storage and retrieval requests in a container block with multiple open locations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 261-284.
    6. Gharehgozli, Amir Hossein & Vernooij, Floris Gerardus & Zaerpour, Nima, 2017. "A simulation study of the performance of twin automated stacking cranes at a seaport container terminal," European Journal of Operational Research, Elsevier, vol. 261(1), pages 108-128.
    7. Alexandros M. Goulielmos, 2018. "“After End-2008 Structural Changes in Containership Market” and Their Impact on Industry’s Policy," IJFS, MDPI, vol. 6(4), pages 1-21, November.
    8. Zhou, Chenhao & Wang, Wencheng & Li, Haobin, 2020. "Container reshuffling considered space allocation problem in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

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