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Constraint programming models for integrated container terminal operations

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  • Kizilay, Damla
  • Hentenryck, Pascal Van
  • Eliiyi, Deniz T.

Abstract

Although operations in container terminals are highly interdependent, they are traditionally optimized by decomposing the overall problem into a sequence of smaller sub-problems, each focusing on a single operation. Recent studies, however, have demonstrated the need and potential of optimizing these interdependent operations jointly. This paper proposes the Integrated Port Container Terminal Problem (IPCTP) that considers the joint optimization of quay crane assignment and scheduling, yard crane assignment and scheduling, yard location assignments, and yard truck assignment and scheduling. The IPCTP aims at minimizing the turnover times of the vessels and maximize terminal throughput. It also considers inbound and outbound containers simultaneously and models the safety distance and the interference constraints for the quay cranes. To solve the IPCTP, the paper proposes several constraint programming (CP) models. Computational results show that CP provides exact solutions in acceptable time to IPCTP instances derived from an actual (small) container terminal in Turkey. For hard IPCTP instances, the CP model can be generalized in a two-stage optimization approach to produce high-quality solutions in reasonable times.

Suggested Citation

  • Kizilay, Damla & Hentenryck, Pascal Van & Eliiyi, Deniz T., 2020. "Constraint programming models for integrated container terminal operations," European Journal of Operational Research, Elsevier, vol. 286(3), pages 945-962.
    • Handle: RePEc:eee:ejores:v:286:y:2020:i:3:p:945-962
    DOI: 10.1016/j.ejor.2020.04.025
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    References listed on IDEAS

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    Cited by:

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    3. Cheng Hong & Yufang Guo & Yuhong Wang & Tingting Li, 2023. "The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    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. Chen, Sumin & Zeng, Qingcheng & Li, Yantong, 2023. "Integrated operations planning in highly electrified container terminals considering time-of-use tariffs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    6. Di Luan & Mingjing Zhao & Qianru Zhao & Nan Wang, 2021. "Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-38, June.
    7. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    8. Roy, Debjit & van Ommeren, Jan-Kees & de Koster, René & Gharehgozli, Amir, 2022. "Modeling landside container terminal queues: Exact analysis and approximations," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 73-102.
    9. Hosseini, Amir & Otto, Alena & Pesch, Erwin, 2024. "Scheduling in manufacturing with transportation: Classification and solution techniques," European Journal of Operational Research, Elsevier, vol. 315(3), pages 821-843.
    10. Hideyo Inutsuka & Kinya Ichimura & Yoshihisa Sugimura & Muneo Yoshie & Takeshi Shinoda, 2024. "Study on the Relationship between Port Governance and Terminal Operation System for Smart Port: Japan Case," Logistics, MDPI, vol. 8(2), pages 1-18, June.

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