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dc.contributor.authorSarkar, Biswajit-
dc.date.accessioned2019-05-10T01:52:25Z-
dc.date.available2019-05-10T01:52:25Z-
dc.date.issued2017-11-
dc.identifier.citationINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, v. 24, No. 5, Page. 1197-1227en_US
dc.identifier.issn0969-6016-
dc.identifier.issn1475-3995-
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12177-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/103753-
dc.description.abstractThis paper investigates a periodic review fuzzy inventory model with lead time, reorder point, and cycle length as decision variables. The main goal of this study is to minimize the expected total annual cost by simultaneously optimizing cycle length, reorder point, and lead time for the whole system based on fuzzy demand. Two models are considered in this paper: one with normal demand distribution and another with a distribution-free approach. The model assumes a logarithmic investment function for lost-sale rate reduction. Furthermore, two separate efficient computational algorithms are explained to obtain the optimal solution. Some numerical examples are given to illustrate the model.en_US
dc.language.isoen_USen_US
dc.publisherWILEY-BLACKWELLen_US
dc.subjectperiodic review inventoryen_US
dc.subjectlost-sales rateen_US
dc.subjectfuzzy demanden_US
dc.subjectdistribution-free approachen_US
dc.titlePeriodic review fuzzy inventory model with variable lead time and fuzzy demanden_US
dc.typeArticleen_US
dc.relation.no5-
dc.relation.volume24-
dc.identifier.doi10.1111/itor.12177-
dc.relation.page1197-1227-
dc.relation.journalINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH-
dc.contributor.googleauthorSarkar, Biswajit-
dc.contributor.googleauthorMahapatra, Amalendu Singha-
dc.relation.code2017015934-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING-
dc.identifier.pidbsarkar-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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