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An Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problem

dc.contributor.authorTunç, Hüseyin
dc.contributor.authorKılıç, Onur A.
dc.contributor.authorTarım, S. Armağan
dc.contributor.authorRossi, Roberto
dc.contributor.authorID6641tr_TR
dc.date.accessioned2020-03-27T21:10:00Z
dc.date.available2020-03-27T21:10:00Z
dc.date.issued2018
dc.departmentÇankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, İşletme Bölümüen_US
dc.description.abstractWe present an extended mixed-integer programming formulation of the stochastic lot-sizing problem for the static-dynamic uncertainty strategy. The proposed formulation is significantly more time efficient as compared to existing formulations in the literature and it can handle variants of the stochastic lot-sizing problem characterized by penalty costs and service level constraints, as well as backorders and lost sales. Also, besides being capable of working with a predefined piecewise linear approximation of the cost function-as is the case in earlier formulations-it has the functionality of finding an optimal cost solution with an arbitrary level of precision by means of a novel dynamic cut generation approach.en_US
dc.description.publishedMonth6
dc.identifier.citationTunc, Huseyin; Kilic, Onur A.; Tarim, S. Armagan; et al. "An Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problem", Informs Journal On Computing, Vol. 30, No. 3, pp. 492-506, (2018)en_US
dc.identifier.doi10.1287/ijoc.2017.0792
dc.identifier.endpage506en_US
dc.identifier.issn1091-9856
dc.identifier.issue3en_US
dc.identifier.startpage492en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/2776
dc.identifier.volume30en_US
dc.language.isoenen_US
dc.publisherInformen_US
dc.relation.ispartofInforms Journal On Computingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStochastic Lot Sizingen_US
dc.subjectStatic-Dynamic Uncertaintyen_US
dc.subjectExtended Formulationen_US
dc.subjectDynamic Cut Generationen_US
dc.titleAn Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problemtr_TR
dc.titleAn Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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