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.

Objekt anzeigen

• Sprache: Englisch

Verweise und Beziehungen

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

Klassifikation und Themen

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

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Attari, Mahdi Yousefi Nejad ; Torkayesh, Ali Ebadi
• Ereignis: Veröffentlichung
• (wer): Elsevier
• (wo): Amsterdam
• (wann): 2018

Weitere Informationen

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