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


Talay I., Ozdemir-Akyildirim Ö.

DATA IN BRIEF, vol.22, pp.1027-1030, 2019 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 22
  • Publication Date: 2019
  • Doi Number: 10.1016/j.dib.2019.01.028
  • Journal Name: DATA IN BRIEF
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.1027-1030
  • Istanbul Technical University Affiliated: No

Abstract

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 Ozdemir-Akyildirim, 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. (C) 2019 The Authors. Published by Elsevier Inc.