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dc.contributor.authorYao, Ming-Jongen_US
dc.contributor.authorLin, Jen-Yenen_US
dc.contributor.authorLin, Yu-Liangen_US
dc.contributor.authorFang, Shu-Cherngen_US
dc.date.accessioned2020-07-01T05:22:11Z-
dc.date.available2020-07-01T05:22:11Z-
dc.date.issued2020-06-01en_US
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.tre.2020.101896en_US
dc.identifier.urihttp://hdl.handle.net/11536/154607-
dc.description.abstractThis paper studies a multi-customer joint replenishment problem with districting consideration (MJRPDC) which is of particular importance to a company that outsources its transportation and delivery operations to a third-party logistics (3PL) service provider. To solve the problem, we first propose an innovative search algorithm for solving the traditional multi-customer joint replenishment problem in a given zone. Then we design a GA-based framework to handle the corresponding districting problem based on the performance of each district evaluated by using the proposed search algorithm. The proposed methodologies are demonstrated by using an example of solving MJRPDC for a bank.en_US
dc.language.isoen_USen_US
dc.subjectJoint replenishmenten_US
dc.subjectDistricting problemen_US
dc.subjectGenetic algorithmen_US
dc.titleAn integrated algorithm for solving multi-customer joint replenishment problem with districting considerationen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.tre.2020.101896en_US
dc.identifier.journalTRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEWen_US
dc.citation.volume138en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000536953900005en_US
dc.citation.woscount0en_US
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