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dc.contributor.authorLiu, Yunhuaen_US
dc.contributor.authorDehghani, Ehsanen_US
dc.contributor.authorJabalameli, Mohammad Saeeden_US
dc.contributor.authorDiabat, Alien_US
dc.contributor.authorLu, Chung-Chengen_US
dc.date.accessioned2020-05-05T00:02:20Z-
dc.date.available2020-05-05T00:02:20Z-
dc.date.issued2020-04-01en_US
dc.identifier.issn0360-8352en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.cie.2020.106326en_US
dc.identifier.urihttp://hdl.handle.net/11536/154133-
dc.description.abstractDespite their prominent role in real-life, supply disruptions and inherent variability in parameters have been virtually overlooked in the area of the location-inventory problem. To push forward the relevant literature, addressing the aforementioned issues is of paramount importance. In this sense, this paper deals with a coordinated location-inventory problem in a stochastic supply chain system where facilities are subject to random supply disruptions. The demand and replenishment lead-times are also considered to be hemmed in by uncertainties. To tackle the location-inventory problem in the concerned supply chain, a two-phase approach based on the queuing theory and optimization model techniques is devised. Applying the queuing theory, the first phase tackles the uncertainty issues and gains some performance measures of the system. The attained results are later incorporated into the optimization model. In the second phase, the optimization model determines the strategic and tactical decisions across the supply chain in an integrated manner. Because the presented model is complicated to solve through exact methods, a tailored hybrid genetic algorithm embedded with direct search method is exploited, which is capable of finding quality solutions in an efficient way. Eventually, various sensitivity analyses are conducted from which interesting insights are derived.en_US
dc.language.isoen_USen_US
dc.subjectSupply Chainen_US
dc.subjectDisruptionen_US
dc.subjectFacility locationen_US
dc.subjectInventory managementen_US
dc.subjectQueuing theoryen_US
dc.subjectGenetic algorithmen_US
dc.titleA coordinated location-inventory problem with supply disruptions: A two-phase queuing theory-optimization model approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.cie.2020.106326en_US
dc.identifier.journalCOMPUTERS & INDUSTRIAL ENGINEERINGen_US
dc.citation.volume142en_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:000525375800012en_US
dc.citation.woscount0en_US
Appears in Collections:Articles