Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry
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, purchas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
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| Series: | Operations Research Perspectives |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214716018302094 |
| _version_ | 1818513112801738752 |
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| author | Mahdi Yousefi Nejad Attari Ali Ebadi Torkayesh |
| author_facet | Mahdi Yousefi Nejad Attari Ali Ebadi Torkayesh |
| author_sort | Mahdi Yousefi Nejad Attari |
| collection | DOAJ |
| description | 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. 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. Keywords: Supply chain management, Benders decomposition, Iranian mine industry, ε-constraint method |
| first_indexed | 2024-12-10T23:56:29Z |
| format | Article |
| id | doaj.art-c6c361fa6df84f6fa7b8fe92093fc899 |
| institution | Directory Open Access Journal |
| issn | 2214-7160 |
| language | English |
| last_indexed | 2024-12-10T23:56:29Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Operations Research Perspectives |
| spelling | doaj.art-c6c361fa6df84f6fa7b8fe92093fc8992022-12-22T01:28:35ZengElsevierOperations Research Perspectives2214-71602018-01-015371382Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industryMahdi Yousefi Nejad Attari0Ali Ebadi Torkayesh1Corresponding author.; Department of Industrial Engineering, Bonab branch, Islamic Azad University, Bonab, IranSabanci University, Faculty of Engineering and Natural Sciences, Istanbul, TurkeyThis 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. 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. Keywords: Supply chain management, Benders decomposition, Iranian mine industry, ε-constraint methodhttp://www.sciencedirect.com/science/article/pii/S2214716018302094 |
| spellingShingle | Mahdi Yousefi Nejad Attari Ali Ebadi Torkayesh Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry Operations Research Perspectives |
| title | Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry |
| title_full | Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry |
| title_fullStr | Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry |
| title_full_unstemmed | Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry |
| title_short | Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry |
| title_sort | developing benders decomposition algorithm for a green supply chain network of mine industry case of iranian mine industry |
| url | http://www.sciencedirect.com/science/article/pii/S2214716018302094 |
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