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Yard block assignment, internal truck operations, and berth allocation in container terminals: introducing carbon-footprint minimisation objectives

Author

Listed:
  • Serkan Karakas

    (Piri Reis University)

  • Mehmet Kirmizi

    (Piri Reis University)

  • Batuhan Kocaoglu

    (Piri Reis University)

Abstract

It is of increasing importance to carry out port terminal operations in an environmentally sustainable way. We approach the yard block assignment and internal transportation problem in a way that establishes an optimum trade-off between the time of internal truck moves and environmental objectives. The framework has a dynamic structure and aims to offer different berthing alternatives according to yard block occupancy rates. Earlier limitations of deterministic modelling are addressed. Probabilistic methods are considered in an attempt to bring our outcomes closer to real terminal circumstances. Discrete Monte Carlo simulation, integer-linear programming and multi-objective optimisation methods are integrated to address container terminal modelling complexity. The uncertainty arising from situations such as irregular vehicle queuing at the yard or quay crane stations is successfully addressed. The opinions of managers involved in decisions regarding the ‘time–environment dilemma’ are weighted and included in the optimisation model. In five scenarios, we show that internal truck time efficiency can improve by 27.8% to 42.8%, and CO2 emissions reduction by 30.1% to 70.3%.

Suggested Citation

  • Serkan Karakas & Mehmet Kirmizi & Batuhan Kocaoglu, 2021. "Yard block assignment, internal truck operations, and berth allocation in container terminals: introducing carbon-footprint minimisation objectives," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(4), pages 750-771, December.
    • Handle: RePEc:pal:marecl:v:23:y:2021:i:4:d:10.1057_s41278-021-00186-7
    DOI: 10.1057/s41278-021-00186-7
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    References listed on IDEAS

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    1. Xiaoju Zhang & Qingcheng Zeng & Zhongzhen Yang, 2019. "Optimization of truck appointments in container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 125-145, March.
    2. Petering, Matthew E.H., 2009. "Effect of block width and storage yard layout on marine container terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 591-610, July.
    3. Kap Hwan Kim & Youn Ju Woo & Jae Gwan Kim, 0. "Space reservation and remarshalling operations for outbound containers in marine terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 0, pages 1-25.
    4. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    5. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    6. Zhen, Lu & Xu, Zhou & Wang, Kai & Ding, Yi, 2016. "Multi-period yard template planning in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 700-719.
    7. Akash Gupta & Debjit Roy & René de Koster & Sampanna Parhi, 2017. "Optimal stack layout in a sea container terminal with automated lifting vehicles," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3747-3765, July.
    8. Chen, Lu & Langevin, André & Lu, Zhiqiang, 2013. "Integrated scheduling of crane handling and truck transportation in a maritime container terminal," European Journal of Operational Research, Elsevier, vol. 225(1), pages 142-152.
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    Cited by:

    1. Guo, Liming & Zheng, Jianfeng & Du, Haoming & Du, Jian & Zhu, Zhihong, 2022. "The berth assignment and allocation problem considering cooperative liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    2. Bouzekri, Hamza & Bara, Najat & Alpan, Gülgün & Giard, Vincent, 2022. "An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain," International Journal of Production Economics, Elsevier, vol. 252(C).
    3. Guo, Liming & Zheng, Jianfeng & Liang, Jinpeng & Wang, Shuaian, 2023. "Column generation for the multi-port berth allocation problem with port cooperation stability," Transportation Research Part B: Methodological, Elsevier, vol. 171(C), pages 3-28.

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