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Computing non-stationary (s, S) policies using mixed integer linear programming

dc.contributor.authorXiang, Mengyuan
dc.contributor.authorRossi, Roberto
dc.contributor.authorMartin-Barragan, Belen
dc.contributor.authorTarım, S. Armağan
dc.contributor.authorID6641tr_TR
dc.date.accessioned2018-09-19T07:21:41Z
dc.date.available2018-09-19T07:21:41Z
dc.date.issued2018
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThis paper addresses the single-item single-stocking location non-stationary stochastic lot sizing problem under the (s, S) control policy. We first present a mixed integer non-linear programming (MINLP) formulation for determining near-optimal (s, S) policy parameters. To tackle larger instances, we then combine the previously introduced MINLP model and a binary search approach. These models can be reformulated as mixed integer linear programming (MILP) models which can be easily implemented and solved by using off-the-shelf optimization software. Computational experiments demonstrate that optimality gaps of these models are less than 0.3% of the optimal policy cost and computational times are reasonable.en_US
dc.description.publishedMonth12
dc.identifier.citationXiang, M., Rossi, R., Martin-Barragan, B., Tarım, S.A. (2018). Computing non-stationary (s, S) policies using mixed integer linear programming. European Journal of Operational Research, 271(2), 490-500. http://dx.doi.org/10.1016/j.ejor.2018.05.030en_US
dc.identifier.doi10.1016/j.ejor.2018.05.030
dc.identifier.endpage500en_US
dc.identifier.issn0377-2217
dc.identifier.issue2en_US
dc.identifier.startpage490en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/1740
dc.identifier.volume271en_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInventoryen_US
dc.subject(S,S) Policyen_US
dc.subjectStochastic Lot-Sizingen_US
dc.subjectMixed Integer Programmingen_US
dc.subjectBinary Searchen_US
dc.titleComputing non-stationary (s, S) policies using mixed integer linear programmingtr_TR
dc.titleComputing Non-Stationary (S, S) Policies Using Mixed Integer Linear Programmingen_US
dc.typeArticleen_US
dspace.entity.typePublication

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