Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98383
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dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorLi, CLen_US
dc.creatorLi, Qen_US
dc.date.accessioned2023-04-27T01:05:12Z-
dc.date.available2023-04-27T01:05:12Z-
dc.identifier.issn0217-5959en_US
dc.identifier.urihttp://hdl.handle.net/10397/98383-
dc.language.isoenen_US
dc.publisherWorld Scientificen_US
dc.rights© World Scientific Publishing Co. & Operational Research Society of Singaporeen_US
dc.rightsElectronic version of an article published as Asia-Pacific Journal of Operational Research, 33(3), 2016, 1650018, Article DOI: 10.1142/S0217595916500184, © World Scientific Publishing Co. & Operational Research Society of Singapore, Journal URL: https://www.worldscientific.com/worldscinet/apjoren_US
dc.subjectDynamic lot sizingen_US
dc.subjectDynamic programmingen_US
dc.subjectInventoryen_US
dc.subjectPolynomial-time algorithmsen_US
dc.titlePolynomial-time solvability of dynamic lot size problemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume33en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1142/S0217595916500184en_US
dcterms.abstractThere has been a lot of research on dynamic lot sizing problems with different nonlinear cost structures due to capacitated production, minimum order quantity requirements, availability of quantity discounts, etc. Developing optimal solutions efficiently for dynamic lot sizing models with nonlinear cost functions is a challenging topic. In this paper, we present a set of sufficient conditions such that if a single-item dynamic lot sizing problem satisfies these conditions, then the existence of a polynomial-time solution method for the problem is guaranteed. Several examples are presented to demonstrate the use of these sufficient conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAsia-Pacific journal of operational research, June 2016, v. 33, no. 3, 1650018en_US
dcterms.isPartOfAsia-Pacific journal of operational researchen_US
dcterms.issued2016-06-
dc.identifier.scopus2-s2.0-84969941313-
dc.identifier.eissn1793-7019en_US
dc.identifier.artn1650018en_US
dc.description.validate202304 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0495-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Polytechnic University; National Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6645593-
dc.description.oaCategoryGreen (AAM)en_US
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