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  • Discrete time model and algorithms for container yard crane scheduling

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    65046_1.pdf (334.7Kb)
    Author(s)
    Li, Wenkai
    Wu, Yong
    Petering, MEH
    Goh, Mark
    de Souza, Robert
    Griffith University Author(s)
    Wu, Yong
    Year published
    2009
    Metadata
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    Abstract
    Container terminal (CT) operations are often bottlenecked by slow YC (yard crane) movements. PM (prime mover) queues in front of the YCs are common. Hence, efficient YC scheduling to reduce the PM waiting time is critical in increasing a CT's throughput. We develop an efficient model for YC scheduling by taking into account realistic operational constraints such as inter-crane interference, fixed YC separation distances and simultaneous container storage/retrievals. Among them, only inter-crane interference has ever been considered in the literature. The model requires far fewer integer variables than the literature by using ...
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    Container terminal (CT) operations are often bottlenecked by slow YC (yard crane) movements. PM (prime mover) queues in front of the YCs are common. Hence, efficient YC scheduling to reduce the PM waiting time is critical in increasing a CT's throughput. We develop an efficient model for YC scheduling by taking into account realistic operational constraints such as inter-crane interference, fixed YC separation distances and simultaneous container storage/retrievals. Among them, only inter-crane interference has ever been considered in the literature. The model requires far fewer integer variables than the literature by using bi-index decision variables. We show how the model can be solved quickly using heuristics and rolling-horizon algorithm, yielding close to optimal solutions in seconds. The solution quality and solution time are both better than the literature even with additional constraints considered. The proposed formulations and algorithms can be extended to other problems with time windows and space constraints.
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    Journal Title
    European Journal of Operational Research
    Volume
    198
    Issue
    1
    DOI
    https://doi.org/10.1016/j.ejor.2008.08.019
    Copyright Statement
    © 2009 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Optimisation
    Publication URI
    http://hdl.handle.net/10072/36406
    Collection
    • Journal articles

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