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Designing Green Closed-loop Supply Chain Network with Financial Decisions under Uncertainty | ||
| Industrial Management Journal | ||
| مقاله 4، دوره 10، شماره 1، 2018، صفحه 61-84 اصل مقاله (601.74 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2018.240867.1007303 | ||
| نویسندگان | ||
| Amir Salar Mohammadi1؛ Akbar Alem Tabriz* 2؛ Mir Saman Pishvaee3 | ||
| 1Ph.D. Student in Operation Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran | ||
| 2Prof. of Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran | ||
| 3Assistant Prof. of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran | ||
| چکیده | ||
| Objective: Effective design of supply chain networks is necessary for micro-economic development. The aim of this study is to design green closed-loop supply chain network with financial decisions considering economic and environmental dimensions of development. Such decisions consist of non-supply chain investments and available loans. Uncertainty of demand and investments related to other investments (ROI) are taken into account, too. Methods:Proposed model is multi-product, multi-objective, multi-period, stochastic and closed-loop which is modeled as a mixed integer linear programming problem. A scenario path model is applied in order to deal with the uncertainties. Results: The results approved the effectiveness of considering financial decisions. By increasing the number of available loans, the level of the service delivered to the whole system will increase accompanied by a decreasing inclination. Obtained results are based on a case study in plastic recycling industry. Conclusion: Simultaneous consideration of financial decisions and uncertainty in supply chain network design can lead to an improvement in the profit of the supply chain. | ||
| کلیدواژه‌ها | ||
| Green supply chain؛ Mathematical Programming؛ Supply chain network؛ uncertainty؛ Financial decisions | ||
| مراجع | ||
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