Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26690
DC FieldValueLanguage
dc.contributorInstitute of Textiles and Clothing-
dc.creatorChoi, TM-
dc.creatorLi, D-
dc.creatorYan, H-
dc.date.accessioned2015-05-26T08:15:49Z-
dc.date.available2015-05-26T08:15:49Z-
dc.identifier.issn0377-2217-
dc.identifier.urihttp://hdl.handle.net/10397/26690-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectBayesian information updatesen_US
dc.subjectInventoryen_US
dc.subjectQuick response policyen_US
dc.subjectSupply chain managementen_US
dc.titleQuick response policy with Bayesian information updatesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage788-
dc.identifier.epage808-
dc.identifier.volume170-
dc.identifier.issue3-
dc.identifier.doi10.1016/j.ejor.2004.07.049-
dcterms.abstractIn this paper we investigate the quick response (QR) policy with different Bayesian models. Under QR policy, a retailer can collect market information from the sales of a pre-seasonal product whose demand is closely related to a seasonal product's demand. This information is then used to update the distribution for the seasonal product's demand by a Bayesian approach. We study two information update models: one with the revision of an unknown mean, and the other with the revision of both an unknown mean and an unknown variance. The impacts of the information updates under both models are compared and discussed. We also identify the features of the pre-seasonal product which can bring more significant profit improvement. We conclude that an effective QR policy depends on a precise information update model as well as a selection of an appropriate pre-seasonal product as the observation target.-
dcterms.bibliographicCitationEuropean journal of operational research, 2006, v. 170, no. 3, p. 788-808-
dcterms.isPartOfEuropean journal of operational research-
dcterms.issued2006-
dc.identifier.isiWOS:000233524800006-
dc.identifier.scopus2-s2.0-27744490330-
dc.identifier.eissn1872-6860-
dc.identifier.rosgroupidr28667-
dc.description.ros2005-2006 > Academic research: refereed > Publication in refereed journal-
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