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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/87018
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dc.titleFourth party logistics routing problem model with fuzzy duration time and cost discount
dc.contributor.authorCui, Y.
dc.contributor.authorHuang, M.
dc.contributor.authorYang, S.
dc.contributor.authorLee, L.H.
dc.contributor.authorWang, X.
dc.date.accessioned2014-10-07T10:23:20Z
dc.date.available2014-10-07T10:23:20Z
dc.date.issued2013-09
dc.identifier.citationCui, Y., Huang, M., Yang, S., Lee, L.H., Wang, X. (2013-09). Fourth party logistics routing problem model with fuzzy duration time and cost discount. Knowledge-Based Systems 50 : 14-24. ScholarBank@NUS Repository.
dc.identifier.issn09507051
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87018
dc.description.abstractIn this paper, from the viewpoint of a fourth party logistics (4PL) provider, a multi-source single-destination 4PL routing problem with fuzzy duration time and cost discount (M-S 4PLRPFC) is described considering the comprehensive ability of 3PL suppliers and nodes. A chance-constrained programming model is established for the M-S 4PLRPFC. Next, a memetic algorithm (MA) with a fuzzy simulation method is designed to solve the problem. Based on a set of problem instances as the test bed, experiments are performed to compare the performance of the proposed MA with those of the enumeration method and a standard genetic algorithm (SGA). The experimental results show that the proposed MA obtains the same results as the enumeration method and that it is than the SGA. © 2013 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.knosys.2013.04.020
dc.sourceScopus
dc.subjectChance constrained programming
dc.subjectFourth party logistics
dc.subjectLocal search
dc.subjectMemetic algorithm
dc.subjectRouting problem
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleKnowledge-Based Systems
dc.description.volume50
dc.description.page14-24
dc.description.codenKNSYE
dc.identifier.isiut000323875500002
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