Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tre.2009.08.012
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dc.titleThe integrated yard truck and yard crane scheduling problem: Benders' decomposition-based methods
dc.contributor.authorCao, J.X.
dc.contributor.authorLee, D.-H.
dc.contributor.authorChen, J.H.
dc.contributor.authorShi, Q.
dc.date.accessioned2014-06-17T08:26:27Z
dc.date.available2014-06-17T08:26:27Z
dc.date.issued2010-05
dc.identifier.citationCao, J.X., Lee, D.-H., Chen, J.H., Shi, Q. (2010-05). The integrated yard truck and yard crane scheduling problem: Benders' decomposition-based methods. Transportation Research Part E: Logistics and Transportation Review 46 (3) : 344-353. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tre.2009.08.012
dc.identifier.issn13665545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66291
dc.description.abstractThis paper proposes a novel integrated model for yard truck and yard crane scheduling problems for loading operations in container terminal. The problem is formulated as a mixed-integer programming model. Due to the computational intractability, two efficient solution methods, based on Benders' decomposition, are developed for problem solution; namely, the general Benders' cut-based method and the combinatorial Benders' cut-based method. Computational experiments are conducted to evaluate the effectiveness of the proposed solution methods. © 2009 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tre.2009.08.012
dc.sourceScopus
dc.subjectBenders' decomposition
dc.subjectCombinatorial optimization
dc.subjectContainer terminal operations
dc.subjectMixed-integer programming
dc.subjectScheduling
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.tre.2009.08.012
dc.description.sourcetitleTransportation Research Part E: Logistics and Transportation Review
dc.description.volume46
dc.description.issue3
dc.description.page344-353
dc.identifier.isiut000275213400005
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