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An Identification of Key Performance Criteria and An Evaluation of the Green Closed-Loop Supply Network with Fuzzy DANP Approach | ||
| پژوهشنامه مدیریت اجرایی | ||
| Volume 13, Issue 26, January 2022, Pages 221-253 PDF (541.49 K) | ||
| Document Type: Production & Operations Management | ||
| DOI: 10.22080/jem.2021.19074.3243 | ||
| Authors | ||
| shahram mokhlesabadi1; Mohammadreza Kabaranzadeh Ghadim* 2; Hassanali Aghajani Kasehgar1; Mohammad Mehdi Movahedi1 | ||
| 1Department of industrial management, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran | ||
| 2Department of management, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| Receive Date: 16 June 2020, Revise Date: 30 January 2021, Accept Date: 13 February 2021 | ||
| Abstract | ||
| The around world With globalization and growing consumption supply chain networks were shifted to very large networks and components of massive networks had caused serious environmental problems. Evaluaing the green closed loop supply network can ensure a minimum of material loss by following the maintenance rules during the material life cycle.The purpose of this article is to design a multi fuzzy decision making model for the evaluating Green Closed Loop (GCL). In this article identified the important criteria by reviewing literature review and interviewing with experts and using the fuzzy screening method to selecting very important criteria have been determined. Then provided a the MADM fuzzy decision making model based on the fuzzy Decision Making Trial and Evaluation Laboratory based on Analytical Network Process (ANP) (FDANP). At present research Development of a manual for separating recyclable parts and items important the evaluation and Selection of suppliers acquired second rank and the rest of the criteria were weighed and ranked. The results showed of the causal relationship study Responding to stakeholders and battery manufacturers the most effective criteria and Recycling, reproducing the product the most effective criterion were recognized in the evaluation GCLN. The results are based on a case study in the car battery recycling industry. MADM fuzzy decision making model based on FDANP technique has been provided. Which The around world With globalization and growing consumption supply chain networks were shifted to very large networks and components of massive networks had caused serious environmental problems. Evaluaing the green closed loop supply network can ensure a minimum of material loss by following the maintenance rules during the material life cycle.The purpose of this article is to design a multi fuzzy decision making model for the evaluating Green Closed Loop (GCL). In this article identified the important criteria by reviewing literature review and interviewing with experts and using the fuzzy screening method to selecting very important criteria have been determined. Then provided a the MADM fuzzy decision making model based on the fuzzy Decision Making Trial and Evaluation Laboratory based on Analytical Network Process (ANP) (FDANP). At present research Development of a manual for separating recyclable parts and items important the evaluation and Selection of suppliers acquired second rank and the rest of the criteria were weighed and ranked. The results showed of the causal relationship study Responding to stakeholders and battery manufacturers the most effective criteria and Recycling, reproducing the product the most effective criterion were recognized in the evaluation GCLN. The results are based on a case study in the car battery recycling industry. MADM fuzzy decision making model based on FDANP technique has been provided. Which manufacturing companies can use to have an accurate the assessment of the GCLN and allocate limited national and natural resources efficiently to promote the social responsibility and protect the living environment. | ||
| Keywords | ||
| . Evaluation; Supply Network (SN); Green Closed Loop (GCL); Fuzzy Screening Method (FSM); Fuzzy Decision Making Trial And Evaluation Laboratory (DEMATEL) based on Analytical Network Process (ANP) (FDANP) | ||
| Main Subjects | ||
| Production & Operations Management | ||
| References | ||
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