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  • 标题:Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry
  • 本地全文:下载
  • 作者:Mahdi Yousefi Nejad Attari ; Ali Ebadi Torkayesh
  • 期刊名称:Operations Research Perspectives
  • 印刷版ISSN:2214-7160
  • 电子版ISSN:2214-7160
  • 出版年度:2018
  • 卷号:5
  • 页码:371-382
  • DOI:10.1016/j.orp.2018.11.002
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper attempts to design a three-echelon supply chain network for mine industry considering suppliers, manufacturing centers and distributors with different kinds of vehicles. A multi-objective mixed integer programming model is proposed to minimize transportation costs, shortage costs, purchase costs, production costs and CO2emissions of vehicles with fuzzy demand values. ε-constraint method is used in order to convert multiple objective functions to a single objective function. Benders decomposition algorithm is applied to solve the model under three demand-based scenarios. A case study is done on Iranian mine industry to present the significance and applicability of the proposed model in a real-life case problem as well as the efficiency of Benders decomposition.
  • 关键词:KeywordsSupply chain managementBenders decompositionIranian mine industryε-constraint method
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