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Deciding on planning windows by partitioning time for yard crane management in container terminals.

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Deciding on planning windows by partitioning time for yard crane management in container terminals.

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dc.contributor.author Guo, Xi.
dc.contributor.author Huang, Shell Ying.
dc.date.accessioned 2011-09-16T06:23:20Z
dc.date.available 2011-09-16T06:23:20Z
dc.date.copyright 2010
dc.date.issued 2011-09-16
dc.identifier.citation Guo, X., & Huang, S. Y. (2010). Deciding on Planning Windows by Partitioning Time for Yard Crane Management in Container Terminals. Proceedings of the 1st International Conference on Computational Logistics.
dc.identifier.uri http://hdl.handle.net/10220/7080
dc.description.abstract This paper proposes a new dynamic Yard Crane (YC) workload partition scheme in container terminals. The main contribution is the time partitioning algorithm which finds a sequence of time windows to match closely the changing workload distribution and get the maximum benefit of the space partition algorithm. Experimental results show that the proposed time partition algorithm plays the most important role in making substantial improvements over basic partition scheme in all tested workload scenarios.
dc.format.extent 10 p.
dc.language.iso en
dc.rights © 2010 1st International Conference on Computational Logistics.  This is the author created version of a work that has been peer reviewed and accepted for publication by 1st International Conference on Computational Logistics.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The official conference website is: http://gauss.econ.uni-hamburg.de/iccl2010/index.html.
dc.subject DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering.
dc.title Deciding on planning windows by partitioning time for yard crane management in container terminals.
dc.type Conference Paper
dc.contributor.conference International Conference on Computational Logistics (1st : 2010)
dc.contributor.school School of Computer Engineering
dc.identifier.openurl http://gauss.econ.uni-hamburg.de/iccl2010/index.html
dc.description.version Accepted version
dc.identifier.rims 155808

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