Optimal ordering and pricing in a quick response system

dc.citation.epage714en_US
dc.citation.issueNumber2en_US
dc.citation.spage700en_US
dc.citation.volumeNumber121en_US
dc.contributor.authorSerel, D. A.en_US
dc.date.accessioned2015-07-28T11:59:04Z
dc.date.available2015-07-28T11:59:04Z
dc.date.issued2009-10en_US
dc.departmentDepartment of Managementen_US
dc.description.abstractQuick response systems enable retailers to estimate customer demand more accurately, and improve stocking decisions for perishable products with uncertain demand. Retailers place separate orders for a product at two different times before the selling season. Following the initial order, additional market information is obtained, and the second-order amount is decided based on an improved demand forecast. In some cases, purchase cost associated with the second order is uncertain, and demand for the product during the season depends on the selling price. We present a solution procedure for finding the optimal order quantity and selling price in this setting. We also study the case where any desired portion of the initial order can be cancelled after updating the demand forecast. In the numerical study. the optimal price is observed to be relatively insensitive to changes in demand variability.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T11:59:04Z (GMT). No. of bitstreams: 1 10.1016-j.ijpe.2009.04.020.pdf: 369756 bytes, checksum: 6029b4f6ee7ce0d0973d869bd3cef049 (MD5)en
dc.identifier.doi10.1016/j.ijpe.2009.04.020en_US
dc.identifier.issn0925-5273
dc.identifier.urihttp://hdl.handle.net/11693/11850
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ijpe.2009.04.020en_US
dc.source.titleInternational Journal of Production Economicsen_US
dc.subjectInventoryen_US
dc.subjectNewsvendoren_US
dc.subjectPrice-dependent demanden_US
dc.subjectForecast updateen_US
dc.subjectBayesian estimateen_US
dc.titleOptimal ordering and pricing in a quick response systemen_US
dc.typeArticleen_US

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