Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods
Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods
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DOI：
10.1016/j.cie.2014.10.013
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发表时间：
2015-08-01
影响因子：
7.9
通讯作者：
Akman, Gulsen
中科院分区：
文献类型：
--
作者：
Akman, Gulsen
随着组织在环境供应链能力上的竞争日益激烈，绿色供应商发展已成为必然。本文旨在确定供应商的绿色/环境绩效，明确哪些供应商在环境问题上需要改善自己的状况，并确定哪些供应商应该被纳入绿色供应商发展计划，以提高其环境绩效。因此，首先通过问卷调查确定绩效标准和绿色供应商评价标准，然后进行因子分析评价各因素的有效性。然后用c-均值聚类方法进行两步聚类。在聚类的第一步中，按照交货期、质量、成本和服务的标准对汽车行业的所有供应商进行了聚类。因此，确定了表现最好的供应商。在聚类的第二步中，根据环境/绿色标准对第一步聚类中确定的表现最好的供应商进行评估。作为分类的结果，根据绿色标准，表现最好的供应商被分成三组--好、中等、差。最后，利用Vikor方法对贫困群体中的供应商进行排序，以便纳入绿色供应商发展计划。(C)2014爱思唯尔有限公司。保留所有权利。
Green supplier development has became necessity as organizations increasingly compete on environmental supply chain capabilities. This paper aims to determine green/environmental performance of supplier, and define which suppliers need to improve their conditions about environmental issues, and identify which suppliers should be included to green supplier development programs to enhance their environmental performance. Therefore, primarily, performance criteria and green supplier evaluation criteria were determined via a survey, then factor analysis was conducted to evaluate validity of factors. Then two step clustering was performed by using c-means clustering method. In the first step of clustering, all suppliers of a firm performing in automobile industry were clustered according to criteria-delivery, quality, cost and service. Thus best performing suppliers were determined. In the second step of clustering, best performing suppliers determined in the first step of clustering were evaluated with environmental/green criteria. As a result of clustering, best performing suppliers were splitted to three groups according to green criteria-good, medium, poor. Lastly, suppliers within the poor group were sequenced by using VIKOR method in order to include green supplier development programs. (C) 2014 Elsevier Ltd. All rights reserved.