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Modeling of yard congestion and optimization of yard template in container ports

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  • Zhen, Lu

Abstract

As a tactical-level plan, a yard template determines the assignment of spaces in a container port yard for arriving vessels. This paper investigates the concept of yard congestion quantitatively in the context of yard truck interruptions, and develops a combination of probabilistic and physics-based models for truck interruptions. The above work enables us to exactly evaluate the expected link travel time, which then acts as the basis for proposing a mixed-integer programming model that minimizes the total expected travel time of moving containers around the yard. A Squeaky Wheel Optimization based meta-heuristic is developed to solve the model. Experiments are also conducted to validate the effectiveness of the model and the solution method.

Suggested Citation

  • Zhen, Lu, 2016. "Modeling of yard congestion and optimization of yard template in container ports," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 83-104.
  • Handle: RePEc:eee:transb:v:90:y:2016:i:c:p:83-104
    DOI: 10.1016/j.trb.2016.04.011
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    References listed on IDEAS

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    3. Liu, Ming & Lee, Chung-Yee & Zhang, Zizhen & Chu, Chengbin, 2016. "Bi-objective optimization for the container terminal integrated planning," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 720-749.
    4. Matthew E. H. Petering & Yong Wu & Wenkai Li & Mark Goh & Robert Souza & Katta G. Murty, 2017. "Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 369-402, December.
    5. Liyang Xiao & Mahjoub Dridi & Amir Hajjam El Hassani & Hongying Fei & Wanlong Lin, 2018. "An Improved Cuckoo Search for a Patient Transportation Problem with Consideration of Reducing Transport Emissions," Sustainability, MDPI, Open Access Journal, vol. 10(3), pages 1-19, March.
    6. 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).
    7. Jiang, Xin Jia & Jin, Jian Gang, 2017. "A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 62-75.
    8. 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.
    9. Wang, Kai & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2017. "Cruise service planning considering berth availability and decreasing marginal profit," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 1-18.
    10. Shucheng Yu & Shuaian Wang & Lu Zhen, 2017. "Quay crane scheduling problem with considering tidal impact and fuel consumption," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 345-368, December.
    11. Wang, Shuaian & Zhen, Lu & Zhuge, Dan, 2018. "Dynamic programming algorithms for selection of waste disposal ports in cruise shipping," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 235-248.
    12. Zhen, Lu & Hu, Yi & Wang, Shuaian & Laporte, Gilbert & Wu, Yiwei, 2019. "Fleet deployment and demand fulfillment for container shipping liners," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 15-32.
    13. Damla Kizilay & Deniz Türsel Eliiyi, 0. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 0, pages 1-42.
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    15. Lu Zhen & Shucheng Yu & Shuaian Wang & Zhuo Sun, 2019. "Scheduling quay cranes and yard trucks for unloading operations in container ports," Annals of Operations Research, Springer, vol. 273(1), pages 455-478, February.

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