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dc.contributor.authorTalay, Işılay
dc.contributor.authorÖzdemir-Akyıldırım, Öznur
dc.date.accessioned2020-03-25T09:51:23Z
dc.date.available2020-03-25T09:51:23Z
dc.date.issued2019
dc.identifier.citationTalay, I. & Özdemir-Akyıldırım, Ö. (2019). Datasets on mathematical modeling of multi-product multi-stage production to analyze the relationship between production yield, demand, and costs. Data in Brief, 22, 1027-1030.en_US
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/20.500.12566/338
dc.identifier.urihttps://doi.org/10.1016/j.dib.2019.01.028
dc.description.abstractThe data presented in this article are related to the research article “Optimal procurement and production planning for multi-product multi-stage production under yield uncertainty” (Talay and Özdemir-Akyıldırım, in press) [1]. The data includes: 1) the input parameters (production yield, demand, and costs) collected through comprehensive review of the literature and diversified further to enrich the analytical results, and 2) results from mathematical modeling and analysis on the optimal procurement and semi-processed material allocation decisions for different parameter sets. The dataset is particularly constructed for a production system with two stages and three final products.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoenen_US
dc.publisherData in Briefen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleDatasets on mathematical modeling of multi-product multi-stage production to analyze the relationship between production yield, demand, and costsen_US
dc.typearticleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.volume22
dc.identifier.startpage1027
dc.identifier.endpage1030
dc.contributor.orcid0000-0002-8956-9505 [Talay, Işılay]
dc.contributor.abuauthorTalay, Işılay
dc.contributor.YOKid119457 [Talay, Işılay]
dc.identifier.PubMedID30740488


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