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최적 구매량 결정을 위한 QF 계약 모형

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dc.contributor.author김종수-
dc.contributor.author김태영-
dc.contributor.author강우석-
dc.date.accessioned2021-06-23T22:06:37Z-
dc.date.available2021-06-23T22:06:37Z-
dc.date.issued2006-06-
dc.identifier.issn1225-1119-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45206-
dc.description.abstractQuantity Flexibility contract coordinates individually motivated supplier and buyer to the systemwide optimal outcome by effectively allocating the costs of market demand uncertainty. The main feature of the contract is to couple the buyer's commitment to purchase no less than a certain percentage below the forecast with the supplier's guarantee to deliver up to a certain percentage above. In this paper we refine the previous models by adding some realistic features including the upper and lower limits of the purchase. We also incorporate purchase and canceling costs in a cost function to reflect the real world contracting process more accurately. To obtain the solution of the model, we derive a condition for extreme points using the Leibniz’s rule and construct an algorithm for finding the optimal solution of the model. Several examples illustrating the algorithm show that the approach is valid and efficient.-
dc.format.extent12-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국경영과학회-
dc.title최적 구매량 결정을 위한 QF 계약 모형-
dc.title.alternativeA Quantity Flexibility Contract Model forOptimal Purchase Decision-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국경영과학회지, v.31, no.2, pp 129 - 140-
dc.citation.title한국경영과학회지-
dc.citation.volume31-
dc.citation.number2-
dc.citation.startPage129-
dc.citation.endPage140-
dc.identifier.kciidART001093520-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorSupply Chain Management-
dc.subject.keywordAuthorSupply Contracts-
dc.subject.keywordAuthorQuantity Flexibility-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00708959-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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