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SUPPLIER SELECTION CONSIDERING SUSTAINABILITY MEASURES: AN APPLICATION OF WEIGHT RESTRICTION FUZZY-DEA APPROACH

机译:考虑可持续性措施的供应商选择:权重模糊-DEA方法的应用

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摘要

With the growing of consumer awareness in environmental and social issues sustainable development has become an essential element in supply chain management. Supplier evaluation and selection is one of the main strategic decisions for purchasing management in supply chain. This paper use Data Envelopment Analysis (DEA) to propose a new model for evaluation and ranking of a given set of suppliers from sustainable point of view. The proposed model integrates the fuzzy set theory and DEA to consider the decision makers' preferences and handle the ambiguity and uncertainty in supplier selection process. For this purpose, linguistic values in the form of triangular fuzzy numbers are used to assess the weights of criteria, sub-criteria, and the ratings of suppliers' performance with respect to subcriteria. Then, a fuzzy-DEA model, using alpha-cut approach, is developed considering weight constraints. An application from Supplying Automotive Parts Company (SAPCO) Company, which is one of the largest suppliers of automotive parts in the Middle-East, is presented to show the applicability of the proposed model. Finally, the proposed weight restriction fuzzy-DEA model is validated through comparing with one of the recent supplier selection methods.
机译:随着消费者对环境和社会问题的认识不断提高,可持续发展已成为供应链管理中的基本要素。供应商评估和选择是供应链中采购管理的主要战略决策之一。本文使用数据包络分析(DEA)提出了一种从可持续的角度对给定供应商集合进行评估和排名的新模型。所提出的模型将模糊集理论和DEA相结合,以考虑决策者的偏好并处理供应商选择过程中的歧义和不确定性。为此,使用三角模糊数形式的语言值来评估标准,子标准的权重以及关于子标准的供应商绩效等级。然后,考虑到权重约束,使用alpha-cut方法开发了模糊DEA模型。展示了中东最大的汽车零部件供应商之一的供应汽车零部件公司(SAPCO)公司的应用程序,以证明该模型的适用性。最后,通过与最近的供应商选择方法之一进行比较,验证了所提出的重量限制模糊DEA模型。

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