An Intuitionistic Fuzzy Group Decision-Making to Measure the Performance of Green Supply Chain Management with TOPSIS Method

B. Bulğurcu
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引用次数: 2

Abstract

Green supply chain management (GSCM) integrates environmental regulations into sup- ply chain management to diminish the negative effects of supply chain processes on the environment. The environmental problems appeared by an enterprise arise from design- ing the product and last until the recycling process. GSCM activities include five drivers such as green design, green purchasing, green transformation, green logistics and reverse logistics. In this chapter, the main aim is to explain these drivers and to show how to measure the GSCM success of companies, which operate as tire manufacturers by using an evaluation of a group of experts in their field. The proposed method, intuitionistic fuzzy technique for order preference by similarity to an ideal solution as an effective group decision-making method, helped to identify the alternative company 1 with the best GSCM performance among six different alternative tire companies under the consid- eration of five important GSCM drivers. The ranking result was as follows: A1 > A3 > A4 > A2 > A6 > A5.
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基于TOPSIS方法的直觉模糊群体决策评价绿色供应链管理绩效
绿色供应链管理(GSCM)将环境法规整合到供应链管理中,以减少供应链过程对环境的负面影响。企业出现的环境问题从产品设计开始,一直持续到回收过程。GSCM活动包括绿色设计、绿色采购、绿色改造、绿色物流和逆向物流五大驱动因素。在本章中,主要目的是解释这些驱动因素,并展示如何衡量公司的GSCM成功,这些公司作为轮胎制造商,通过使用一组专家在他们的领域的评估。提出了一种有效的群体决策方法——基于理想解相似性排序偏好的直觉模糊技术,在考虑5个重要的GSCM驱动因素的情况下,从6家不同的备选轮胎公司中识别出GSCM绩效最佳的备选公司1。排序结果为A1 > A3 > A4 > A2 > A6 > A5。
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