Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89974
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorHu, P-
dc.creatorLu, Y-
dc.creatorSong, M-
dc.date.accessioned2021-05-13T08:33:09Z-
dc.date.available2021-05-13T08:33:09Z-
dc.identifier.issn1059-1478-
dc.identifier.urihttp://hdl.handle.net/10397/89974-
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.rights© 2018 Production and Operations Management Societyen_US
dc.rightsThis is the peer reviewed version of the following article: Hu, P., Lu, Y. and Song, M. (2019), Joint Pricing and Inventory Control with Fixed and Convex/Concave Variable Production Costs. Prod Oper Manag, 28: 847-877, which has been published in final form at https://doi.org/10.1111/poms.12950. 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.subjectDynamic programmingen_US
dc.subjectInventory controlen_US
dc.subjectPricing decisionen_US
dc.subjectSym-κ-convexityen_US
dc.subjectΚ-convexityen_US
dc.titleJoint pricing and inventory control with fixed and convex/concave variable production costsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage847-
dc.identifier.epage877-
dc.identifier.volume28-
dc.identifier.issue4-
dc.identifier.doi10.1111/poms.12950-
dcterms.abstractThis study considers a periodic-review joint pricing and inventory control problem for a single product, where production incurs a fixed cost plus a convex or concave variable cost. Our objective is to maximize the expected discounted profit over the entire planning horizon. We fully characterize the optimal policy for the single-period problem. As the optimal policy for the multi-period problem is too complicated to be implemented in practice, we develop well-structured heuristic policies, and establish worst-case performance bounds on the profit gap between the heuristic policies and the optimal policies. Numerical studies show that our heuristic policies perform extremely well. To further reveal the structural properties of the optimal policies, we also introduce two new concepts named κ-convexity and sym-κ-convexity, provide the associated preservation results, and then characterize the optimal policies.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationProduction and operations management, Apr. 2019, v. 28, no. 4, p. 847-877-
dcterms.isPartOfProduction and operations management-
dcterms.issued2019-04-
dc.identifier.scopus2-s2.0-85055715977-
dc.identifier.eissn1937-5956-
dc.description.validate202105 bcvc-
dc.description.oaAccepted Manuscript-
dc.identifier.FolderNumbera0792-n04-
dc.identifier.SubFormID1648-
dc.description.fundingSourceRGC-
dc.description.fundingTextPolyU 172069/14E-
dc.description.pubStatusPublished-
dc.description.oaCategoryGreen (AAM)en_US
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