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dc.contributor.author유승호-
dc.date.accessioned2018-03-23T07:58:07Z-
dc.date.available2018-03-23T07:58:07Z-
dc.date.issued2012-12-
dc.identifier.citationInternational journal of production economics, 2012, 140(2), P.922-933en_US
dc.identifier.issn0925-5273-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0925527312003210?via%3Dihub-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/51575-
dc.description.abstractThis study examines an imperfect production and inspection system with customer return and defective disposal. We develop an optimal lot sizing model with production and inspection quality investment, incorporating all the quality costs. We find the optimal lot size, rework frequency, defective proportion, and Type I and Type II inspection error proportions which minimize the total quality cost and maximize the total profit. We further analyze the solutions for no, partial, sequential and joint investment decisions on production and/or inspection processes in terms of quality costs using numerical analyses. The result provides important managerial insights into practice.en_US
dc.description.sponsorshipThe authors thank the editor and anonymous referees for their valuable comments and suggestions that helped improve this paper. This research was partially supported by IBRE research grant from Korea University Business School.en_US
dc.language.isoenen_US
dc.publisherElsevier Science B.V., Amsterdam.en_US
dc.subjectInventoryen_US
dc.subjectImperfect productionen_US
dc.subjectInspectionen_US
dc.subjectReturnen_US
dc.subjectQuality costen_US
dc.titleLot sizing and quality investment with quality cost analyses for imperfect production and inspection processes with commercial returnen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ijpe.2012.07.014-
dc.relation.journalINTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS-
dc.contributor.googleauthorYoo, Seung Ho-
dc.contributor.googleauthorKim, DaeSoo-
dc.contributor.googleauthorPark, Myung-Sub-
dc.relation.code2012204302-
dc.sector.campusS-
dc.sector.daehakDIVISION OF INDUSTRIAL INFORMATION STUDIES[S]-
dc.identifier.pidshoyoo-
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