Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry

Artikel

This 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 CO2 emissions of vehicles with fuzzy demand values. e-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.

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• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Operations Research Perspectives ; ISSN: 2214-7160 ; Volume: 5 ; Year: 2018 ; Pages: 371-382 ; Amsterdam: Elsevier

Classification and Topics

• Classification: Wirtschaft
• Subject: Supply chain management ; Benders decomposition ; Iranian mine industry ; E-constraint method

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Attari, Mahdi Yousefi Nejad ; Torkayesh, Ali Ebadi
• Event: Veröffentlichung
• (who): Elsevier
• (where): Amsterdam
• (when): 2018

Further information

• DOI: doi:10.1016/j.orp.2018.11.002
• Handle: http://hdl.handle.net/10419/246360