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Datasets on mathematical modeling of multi-product multi-stage production to analyze the relationship between production yield, demand, and costs

The 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, an...

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Detalles Bibliográficos
Autores principales: Talay, Işılay, Özdemir-Akyıldırım, Öznur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355965/
https://www.ncbi.nlm.nih.gov/pubmed/30740488
http://dx.doi.org/10.1016/j.dib.2019.01.028
Descripción
Sumario:The 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.