Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods


COMPUTERS & INDUSTRIAL ENGINEERING, vol.86, pp.69-82, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 86
  • Publication Date: 2015
  • Doi Number: 10.1016/j.cie.2014.10.013
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.69-82
  • Keywords: Green supplier development, Green supplier segmentation, Green supply chain, Green supplier evaluation, Fuzzy c-means clustering, VIKOR, ENVIRONMENTAL PERFORMANCE, SELECTION CRITERIA, CHAIN MANAGEMENT, NETWORK, SEGMENTATION, ALGORITHM, PRINCIPLES
  • Kocaeli University Affiliated: Yes


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.