Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89679
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorGuo, Pen_US
dc.creatorLiu, Fen_US
dc.creatorWang, Yen_US
dc.date.accessioned2021-04-28T02:29:11Z-
dc.date.available2021-04-28T02:29:11Z-
dc.identifier.issn1059-1478en_US
dc.identifier.urihttp://hdl.handle.net/10397/89679-
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.rights© 2019 Production and Operations Management Societyen_US
dc.rightsThis is the peer reviewed version of the following article: Guo, P., Liu, F. and Wang, Y. (2020), Pre-positioning and Deployment of Reserved Inventories in a Supply Network: Structural Properties. Prod Oper Manag, 29: 893-906, which has been published in final form at https://doi.org/10.1111/poms.13142. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.en_US
dc.subjectSupply networken_US
dc.subjectDemand surgeen_US
dc.subjectInventory planningen_US
dc.subjectStochastic comparisonen_US
dc.titlePre-positioning and deployment of reserved inventories in a supply network : structural propertiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage893en_US
dc.identifier.epage906en_US
dc.identifier.volume29en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1111/poms.13142en_US
dcterms.abstractWe study a two‐stage decision problem, namely, the allocation and deployment of reserved inventories (RIs) in a supply network with random demand surges. The demand surge follows a time‐dependent stochastic process and our objective is to minimize the expected total unmet demand in the presence of positive transshipment lead times. We first solve the optimal deployment problem given that the demand surges have occurred at some locations. We show that the optimal deployment policy is a “nested” policy with respect to the shadow price at each location, where a shadow price represents the marginal reduction of the expected total unmet demand due to a marginal increase of RIs. Specifically, locations with higher shadow prices have higher priority in inventory allocation. We then consider the optimal allocation problem in the pre‐positioning stage. We show that under certain conditions the optimal allocation is increasing in the total amount of RIs. We introduce a new stochastic order for distributions defined on sets called the first‐order stochastic dominance and use it to show that the expected total unmet demand is higher when one of the following is true: the demand surges tend to occur simultaneously at more locations, the post‐surge delivery takes a longer time, more demand arrives earlier, or the demand has a higher volatility.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProduction and operations management, Apr. 2020, v. 29, no. 4, p. 893-906en_US
dcterms.isPartOfProduction and operations managementen_US
dcterms.issued2020-04-
dc.identifier.eissn1937-5956en_US
dc.description.validate202104 bcvcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0795-n04-
dc.identifier.SubFormID1647-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: 598813en_US
dc.description.fundingTextOthers: NSFC 71971184en_US
dc.description.pubStatusPublisheden_US
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