Optimization of Production-Distribution Problem in Supply Chain Management under Stochastic and Fuzzy Uncertainties

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dc.contributor.authorSakalli, Umit Sami
dc.date.accessioned2020-06-25T18:23:29Z
dc.date.available2020-06-25T18:23:29Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.description.abstractProduction-Distribution Problem (PDP) in Supply Chain Management (SCM) is an important tactical decision. One of the challenges in this decision is the size and complexity of supply chain system (SCS). On the other side, a tactical operation is a mid-term plan for 6-12 months; therefore, it includes different types of uncertainties, which is the second challenge. In the literature, the uncertain parameters were modeled as stochastic or fuzzy. However, there are a few studies in the literature that handle stochastic and fuzzy uncertainties simultaneously in PDP. In this paper, the modeling and solution approaches of PDP which contain stochastic and fuzzy uncertainties simultaneously are investigated for a SCS that includes multiple suppliers, multiple products, multiple plants, multiple warehouses, multiple retailers, multiple transport paths, and multiple time periods, which, to the best of the author's knowledge, is not handled in the literature. The PDP contains deterministic, fuzzy, fuzzy random, and random fuzzy parameters. To the best of the author's knowledge, there is no study in the literature which considers all of them simultaneously in PDP. An analytic solution approach has been developed by using possibilistic programming and chance-constrained programming approaches. The proposed modeling and solution approaches are implemented in a numerical example. The solution has shown that the proposed approaches successfully handled uncertainties and produce robust solutions for PDP.en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)en_US
dc.description.sponsorshipThis paper has been supported by the Scientific and Technological Research Council of Turkey.en_US
dc.identifier.citationSakalli, Ümit. (2017). Optimization of Production-Distribution Problem in Supply Chain Management under Stochastic and Fuzzy Uncertainties. Mathematical Problems in Engineering. 2017. 1-29.en_US
dc.identifier.doi10.1155/2017/4389064
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.scopus2-s2.0-85042411425
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1155/2017/4389064
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7115
dc.identifier.volume2017en_US
dc.identifier.wosWOS:000413147800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherHindawi Ltden_US
dc.relation.ispartofMathematical Problems In Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleOptimization of Production-Distribution Problem in Supply Chain Management under Stochastic and Fuzzy Uncertaintiesen_US
dc.typeArticle

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