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AN INTEGRATED INVENTORY MODEL WITH VARIABLE TRANSPORTATION COST, TWO-STAGE INSPECTION, AND DEFECTIVE ITEMS

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dc.contributor.authorSarkar, Biswajit-
dc.contributor.authorShaw, Bijoy Kumar-
dc.contributor.authorKim, Taebok-
dc.contributor.authorSarkar, Mitali-
dc.contributor.authorShin, Dongmin-
dc.date.accessioned2021-06-22T13:41:37Z-
dc.date.available2021-06-22T13:41:37Z-
dc.date.created2021-01-21-
dc.date.issued2017-10-
dc.identifier.issn1547-5816-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/8940-
dc.description.abstractThe paper deals with an integrated inventory model with make to-order policy from buyer to vendor. A variable transportation cost is used as a power function of the delivery quantity for either tapering or considering proportional rate data to maintain single-setup multi-delivery (SSMD) policy with reduced transportation cost. A two-stage inspection process is introduced by the vendor to ensure the perfect quality of product even though the first inspection process indicates a constant defective rate of imperfect production is present during the long-run production system and all defective items are reworked with some fixed cost. The aim is to minimize the total cost of the integrated inventory model by using classical optimization technique. Two numerical examples, sensitivity analysis, and graphical representations are given to illustrate the model.-
dc.language영어-
dc.language.isoen-
dc.publisherAMER INST MATHEMATICAL SCIENCES-AIMS-
dc.titleAN INTEGRATED INVENTORY MODEL WITH VARIABLE TRANSPORTATION COST, TWO-STAGE INSPECTION, AND DEFECTIVE ITEMS-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, Dongmin-
dc.identifier.doi10.3934/jimo.2017027-
dc.identifier.scopusid2-s2.0-85030532187-
dc.identifier.wosid000411795300019-
dc.identifier.bibliographicCitationJOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, v.13, no.4, pp.1975 - 1990-
dc.relation.isPartOfJOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION-
dc.citation.titleJOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION-
dc.citation.volume13-
dc.citation.number4-
dc.citation.startPage1975-
dc.citation.endPage1990-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryMathematics, Interdisciplinary Applications-
dc.subject.keywordPlusBUYER SUPPLY CHAIN-
dc.subject.keywordPlusECONOMIC-LOT-SIZE-
dc.subject.keywordPlusORDER QUANTITY MODEL-
dc.subject.keywordPlusOPTIMAL BATCH SIZE-
dc.subject.keywordPlusPRODUCTION SYSTEM-
dc.subject.keywordPlusQUALITY IMPROVEMENT-
dc.subject.keywordPlusVENDOR-
dc.subject.keywordPlusDELIVERY-
dc.subject.keywordPlusPRICE-
dc.subject.keywordPlusPOLICY-
dc.subject.keywordAuthorInventory-
dc.subject.keywordAuthorvariable transportation cost-
dc.subject.keywordAuthormake-to-order policy-
dc.subject.keywordAuthorinspection-
dc.subject.keywordAuthorrework-
dc.subject.keywordAuthordisposal cost-
dc.identifier.urlhttps://www.aimsciences.org/article/doi/10.3934/jimo.2017027-
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