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dc.contributor.authorWu, Muh-Cherngen_US
dc.contributor.authorHsu, Yang-Kangen_US
dc.contributor.authorHuang, Liang-Chuanen_US
dc.date.accessioned2014-12-08T15:11:52Z-
dc.date.available2014-12-08T15:11:52Z-
dc.date.issued2011-04-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2010.08.088en_US
dc.identifier.urihttp://hdl.handle.net/11536/9095-
dc.description.abstractThis paper attempts to solve a comprehensive design problem for a spare part logistic system. The design factors encompass logistic network design, part vendor selection, and transportation modes selection. Two approaches to solve the problem were proposed. In Approach 1, we simultaneously considered all the design factors and proposed two algorithms (SGA-1 and TGA-1). In Approach 2, the design problem was solved in two stages. Firstly, we aimed to find a near-optimal logistic network. Secondly, with the obtained logistic network, we proposed three algorithms (SGA-2. TGA-2, and NN-GA-Tabu) to find optimal combinations for part vendor and transportation modes selection. Numerical experiments indicate that Approach 2 outperforms Approach 1, and the NN-GA-Tabu outperforms all the other four algorithms. The proposed NN-GA-Tabu might also be a good solution architecture for solving other comprehensive space search problems. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectLogistic network designen_US
dc.subjectBill of materialen_US
dc.subjectSpare partsen_US
dc.subjectGenetic algorithmen_US
dc.subjectNeural networken_US
dc.subjectTabu searchen_US
dc.titleAn integrated approach to the design and operation for spare parts logistic systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2010.08.088en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume38en_US
dc.citation.issue4en_US
dc.citation.spage2990en_US
dc.citation.epage2997en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000286904600008-
dc.citation.woscount1-
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