Selecting a green supplier utilizing the new fuzzy voting model and the fuzzy combinative distance-based assessment method

IF 2.3 Q3 MANAGEMENT
Hamid Sharafi , Mehdi Soltanifar , Farhad Hosseinzadeh Lotfi
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引用次数: 13

Abstract

Significant increase in environmental concerns has led organizations to consider the necessary measures to apply green supply chain management to improve their environmental and economic performance. An important way to implement green supply chain management is to revise the methods of purchasing and selecting green suppliers. In this paper, a new fuzzy Data Envelopment Analysis (DEA) model for green supplier selection by collecting expert votes is presented. Then a way to improve the cross-efficiency method to achieve a complete ranking is suggested. In the improved method, a new secondary goal model based on the concepts of the Fuzzy COmbinative Distance-based ASsessment (CODAS) method will be presented. The proposed models were then used to select a green supplier in an automotive group. In the present case study, a complete ranking for green suppliers is obtained.

利用新的模糊投票模型和模糊组合距离评价方法选择绿色供应商
环境问题的显著增加导致组织考虑采取必要的措施来应用绿色供应链管理,以改善其环境和经济绩效。修改绿色供应商的采购和选择方法是实施绿色供应链管理的重要途径。提出了一种利用专家投票进行绿色供应商选择的模糊数据包络分析(DEA)模型。在此基础上,提出了一种改进交叉效率法以实现完整排序的方法。在改进的方法中,基于模糊组合距离评价(CODAS)方法的概念,提出了一种新的二级目标模型。然后使用所提出的模型在汽车集团中选择绿色供应商。在本案例研究中,获得了绿色供应商的完整排名。
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来源期刊
CiteScore
2.70
自引率
10.00%
发文量
15
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