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Inventory models for imperfect production and inspection processes with various inspection options under one-time and continuous improvement investment

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dc.contributor.authorYoo, Seung Ho-
dc.contributor.authorKim, DaeSoo-
dc.contributor.authorPark, Myung-Sub-
dc.date.accessioned2021-09-06T16:08:33Z-
dc.date.available2021-09-06T16:08:33Z-
dc.date.created2021-06-18-
dc.date.issued2012-09-
dc.identifier.issn0305-0548-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/107596-
dc.description.abstractThis study investigates both internal and external effects of defective production and delivery from imperfect production and inspection processes in a stable production and inventory system, and subsequent defective returns and dispositions. We first develop profit-maximizing imperfect-quality inventory models for various inspection options (sampling inspection, entire lot screening, and no inspection) under one-time improvement investment in production and inspection reliability. We then present the models under continuous improvement (Cl) investments over multiple periods, which have not been explored before. In a Cl environment, we further propose an inspection alternative of changing an inspection option from entire lot screening to no inspection and vice versa. We develop an algorithm for finding the optimal inspection policy yielding a superior profit, among inspection option change between entire lot screening and no inspection and those without option change. Based on the analytical models along with numerical and simulation analyses, we provide important managerial implications to practicing managers and future research directions. (C) 2011 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectPRODUCTION QUANTITY MODEL-
dc.subjectDETERIORATING PRODUCTION SYSTEM-
dc.subjectQUALITY IMPROVEMENT-
dc.subjectRELIABILITY CONSIDERATIONS-
dc.subjectJOINT DETERMINATION-
dc.subjectRANDOM YIELDS-
dc.subjectLOT-SIZE-
dc.subjectPRODUCTION CYCLE-
dc.subjectPLANNING-MODEL-
dc.subjectSUPPLY CHAINS-
dc.titleInventory models for imperfect production and inspection processes with various inspection options under one-time and continuous improvement investment-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, DaeSoo-
dc.identifier.doi10.1016/j.cor.2011.09.015-
dc.identifier.scopusid2-s2.0-84855553612-
dc.identifier.wosid000301216600008-
dc.identifier.bibliographicCitationCOMPUTERS & OPERATIONS RESEARCH, v.39, no.9, pp.2001 - 2015-
dc.relation.isPartOfCOMPUTERS & OPERATIONS RESEARCH-
dc.citation.titleCOMPUTERS & OPERATIONS RESEARCH-
dc.citation.volume39-
dc.citation.number9-
dc.citation.startPage2001-
dc.citation.endPage2015-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusPRODUCTION QUANTITY MODEL-
dc.subject.keywordPlusDETERIORATING PRODUCTION SYSTEM-
dc.subject.keywordPlusQUALITY IMPROVEMENT-
dc.subject.keywordPlusRELIABILITY CONSIDERATIONS-
dc.subject.keywordPlusJOINT DETERMINATION-
dc.subject.keywordPlusRANDOM YIELDS-
dc.subject.keywordPlusLOT-SIZE-
dc.subject.keywordPlusPRODUCTION CYCLE-
dc.subject.keywordPlusPLANNING-MODEL-
dc.subject.keywordPlusSUPPLY CHAINS-
dc.subject.keywordAuthorInventory-
dc.subject.keywordAuthorInspection option-
dc.subject.keywordAuthorReverse logistics-
dc.subject.keywordAuthorProduction and inspection reliability-
dc.subject.keywordAuthorContinuous improvement-
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