Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11770
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dc.contributor.authorSapra, Amar
dc.contributor.authorTruong, Van-Anh
dc.contributor.authorZhang, Rachel Q
dc.date.accessioned2020-04-22T13:50:19Z-
dc.date.available2020-04-22T13:50:19Z-
dc.date.issued2010
dc.identifier.issn0030-364X
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/11770-
dc.description.abstractWe study the inventory replenishment of a product whose demand can be manipulated by restricting the supply. This research is motivated by a novel marketing tactic employed by manufacturers of fashion and luxury items. Such a tactic combines innovative marketing with deliberate understocking in an attempt to create shortages (i.e., waitlists) that add to the allure and sense of exclusivity of a product and stimulate its demand. We model the problem as a finite-horizon, periodic-review system where demand in each period is a decreasing function of the net ending inventory in the previous period. Although the optimal structure can be complex in general, under certain conditions we are able to characterize the optimal policy as a state-dependent, monotone, base-stock policy. We compare this policy with the optimal policy for the case in which demand is independent of the net inventory. We also show that understocking is optimal in various scenarios. We then propose a novel strategy, called the inventory-withholding strategy, to further explore the wait-list effect by making customers wait even when there is inventory on hand to satisfy them. Our numerical experiments study the impact of various model parameters in combination with the wait-list effect on the optimal policy and the corresponding expected profits.
dc.publisherInforms (Institute for Operations Research and The Management Sciences)
dc.subjectBase Stock Policy
dc.subjectDecreasing Functions
dc.subjectExpected Profits
dc.subjectInventory Replenishment
dc.subjectNovel Strategies
dc.subjectNumerical Experiments
dc.subjectOptimal Policies
dc.subjectOptimal Structures
dc.subjectState-Dependent
dc.subjectVarious Model Parameters
dc.subjectMarketing
dc.subjectProfitability
dc.subjectStructural Optimization
dc.titleHow much demand should be fulfilled ?
dc.typeJournal Article
dc.identifier.doi10.1287/OPRE.1090.0757
dc.pages719-733p.
dc.vol.noVol.58-
dc.issue.noIss.3-
dc.journal.nameOperations Research
Appears in Collections:2010-2019
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