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dc.contributor.author안선응-
dc.date.accessioned2019-10-07T02:29:53Z-
dc.date.available2019-10-07T02:29:53Z-
dc.date.issued2005-12-
dc.identifier.citation산업경영시스템학회지, v. 28, No. 4, Page. 79~84en_US
dc.identifier.issn2005-0461-
dc.identifier.urihttp://scholar.dkyobobook.co.kr/searchDetail.laf?barcode=4010017623242-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/110886-
dc.description.abstractSome distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.en_US
dc.language.isoko_KRen_US
dc.publisher한국산업경영시스템학회en_US
dc.title음이항분포의 특성을 이용한 조달기간 수요 분석en_US
dc.typeArticleen_US
dc.relation.journal한국산업경영시스템학회지-
dc.contributor.googleauthor안선응-
dc.contributor.googleauthor김우현-
dc.relation.code2012211772-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING-
dc.identifier.pidsunahn-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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