Maritime container ports are critical elements of global supply chains, facilitating trade across many economic sectors. Disruptions such as the COVID-19 pandemic and fluctuations in supply and demand show the need for intelligent methods to improve resilience of port operations. The scheduling and management of container yards is a key opportunity of improvement. Uncertainties in the arrival and departure times of containers at the stacks are a particular challenge. Scheduling of container stacking is typically addressed variously through heuristics and mathematical optimization. This paper describes an innovation to improve resilience of the container stacking procedures to disruptions by training a reinforcement learning model. The results are in two parts. First, the paper develops policies to assist operators as humans in the control loop. Second, the paper describes a metric for performance evaluation of the stacking procedures.


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    Titel :

    Systems Modeling and Resilience of Schedule at Maritime Container Ports


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Selvaraj, Henry (Herausgeber:in) / Chmaj, Grzegorz (Herausgeber:in) / Zydek, Dawid (Herausgeber:in) / Loose, Davis C. (Autor:in) / Eddy, Timothy L. (Autor:in) / Polmateer, Thomas L. (Autor:in) / Hendrickson, Daniel C. (Autor:in) / Lambert, James H. (Autor:in)

    Kongress:

    International Conference On Systems Engineering ; 2023 ; Las Vegas, NV, USA August 22, 2023 - August 24, 2023



    Erscheinungsdatum :

    04.08.2023


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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