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An Integrated Event-Driven Real-Time Tactical–Operational Optimization Framework for Smart Port Operations Planning

Author

Listed:
  • Danilo Abril

    (Hypothalamus Ai, Inc., Miami, FL 33401, USA)

  • Carlos D. Paternina-Arboleda

    (Department of Management Information Systems, San Diego State University, San Diego, CA 92182, USA)

  • Jesus Velasquez-Bermudez

    (Hypothalamus Ai, Inc., Miami, FL 33401, USA)

Abstract

The ongoing issues in global supply chain disruptions have raised many concerns of port productivity, among which port congestion is a key issue. This article implements an integrated tactical–operational optimization framework which raises the capabilities of port information systems to deliver smarter decision-making processes in ports through a decision support system. To this end, we developed a library of multiple smart models for the optimization of port operations, independently engaged in parallel but mathematically coordinated to achieve autonomous real-time distributed optimization, using a novel event-driven structure to enable future implementations using digital twins. The framework was tested to benchmark different commercial solvers on several real instances for the port under study. The results show a strong improvement in port operational planning.

Suggested Citation

  • Danilo Abril & Carlos D. Paternina-Arboleda & Jesus Velasquez-Bermudez, 2024. "An Integrated Event-Driven Real-Time Tactical–Operational Optimization Framework for Smart Port Operations Planning," Logistics, MDPI, vol. 8(3), pages 1-37, June.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:65-:d:1426165
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    References listed on IDEAS

    as
    1. Tatsushi Nishi & Tatsuya Okura & Eduardo Lalla-Ruiz & Stefan Voß, 2020. "A dynamic programming-based matheuristic for the dynamic berth allocation problem," Annals of Operations Research, Springer, vol. 286(1), pages 391-410, March.
    2. Lehnfeld, Jana & Knust, Sigrid, 2014. "Loading, unloading and premarshalling of stacks in storage areas: Survey and classification," European Journal of Operational Research, Elsevier, vol. 239(2), pages 297-312.
    3. Kai Wang & Lu Zhen & Shuaian Wang, 2018. "Column Generation for the Integrated Berth Allocation, Quay Crane Assignment, and Yard Assignment Problem," Transportation Science, INFORMS, vol. 52(4), pages 812-834, August.
    4. M. Flavia Monaco & Marcello Sammarra, 2007. "The Berth Allocation Problem: A Strong Formulation Solved by a Lagrangean Approach," Transportation Science, INFORMS, vol. 41(2), pages 265-280, May.
    5. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    6. Wooldridge, Christopher F. & McMullen, Christopher & Howe, Vicki, 1999. "Environmental management of ports and harbours -- implementation of policy through scientific monitoring," Marine Policy, Elsevier, vol. 23(4-5), pages 413-425, July.
    7. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    8. Kramer, Arthur & Lalla-Ruiz, Eduardo & Iori, Manuel & Voß, Stefan, 2019. "Novel formulations and modeling enhancements for the dynamic berth allocation problem," European Journal of Operational Research, Elsevier, vol. 278(1), pages 170-185.
    9. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    10. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    11. Vis, Iris F. A. & de Koster, Rene, 2003. "Transshipment of containers at a container terminal: An overview," European Journal of Operational Research, Elsevier, vol. 147(1), pages 1-16, May.
    12. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    13. Carlos D. Paternina-Arboleda & Dayana Agudelo-Castañeda & Stefan Voß & Shubhendu Das, 2023. "Towards Cleaner Ports: Predictive Modeling of Sulfur Dioxide Shipping Emissions in Maritime Facilities Using Machine Learning," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    14. Mao, Anjia & Yu, Tiantian & Ding, Zhaohao & Fang, Sidun & Guo, Jinran & Sheng, Qianqian, 2022. "Optimal scheduling for seaport integrated energy system considering flexible berth allocation," Applied Energy, Elsevier, vol. 308(C).
    15. Bin Li & Xiong Jiang & Junhan Lei & Tingsong Wang, 2022. "Container Terminal Berth and Yard Collaborative Allocation for Import and Export Synchronous Operations by Computational Logistics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-24, February.
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