Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65441
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dc.contributor.authorWapee Manopiniwesen_US
dc.contributor.authorTakashi Iroharaen_US
dc.date.accessioned2019-08-05T04:33:25Z-
dc.date.available2019-08-05T04:33:25Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn21698767en_US
dc.identifier.other2-s2.0-85067244297en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85067244297&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65441-
dc.description.abstract© IEOM Society International. Because the formation or reformation of emergency logistics is a complex undertaking, this study proposes a multi-period location-routing model in the immediate aftermath of a flood natural disaster. The model can decide the temporary depot locations and make vehicle routing plans in which the amount of each relief supplies to be transported can be optimally determined. The temporary depot considered in this problem is a facility different from a typical warehouse on the fact that temporary depots are not set up to provide storage, but are created instead to facilitate transferring relief supplies from one carrier type to another carrier type at the flood boundary. The most common transport means used in the real flood problem, trucks and boats, are considered in the model formulation. We begin by explaining the proposed mixed-integer programming model which employs a dynamic approach to locate the temporary depots, after which we conduct a set of numerical experiments to test the model formulation and analyze the characteristics of the optimization problem. The experimental results indicate that, based on flood disaster characteristics, our model is capable of showing the optimal locations of temporary depots in the flood response operations.en_US
dc.subjectBusiness, Management and Accountingen_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titleMulti-period temporary depot location problem in flood natural disaster responseen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings of the International Conference on Industrial Engineering and Operations Managementen_US
article.volume2019en_US
article.stream.affiliationsSophia Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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