Green supplier selection using fuzzy-extended analytic hierarchy process

  • Authors:

  • Chang-Fu Hsu;He-Yau Kang;Amy Hsin-I Lee;Hsiao-Chu Hung

  • Affiliations:

  • United Microelectronics Company, Taiwan and National Chiao Tung University, Taiwan;National Chin-Yi University of Technology, Taiwan;Chung Hua University and Hsinchu, Taiwan;Chung Hua University, Taiwan

  • Venue:
  • CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

With worldwide growing awareness of environmental protection, green production is becoming more and more important for manufacturing companies and will determine the sustainability of a company in the long term. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. While the research on the evaluation and/or selection of suppliers is abundant, the research that concerns environmental issues is very limited. Therefore, in this study, a model for evaluating green suppliers is proposed. A method similar to the Delphi method is first applied to obtain the criteria and sub-criteria for evaluating green suppliers. A hierarchy for evaluating green suppliers is constructed next by incorporating the selected criteria and sub-criteria. Based on the hierarchy, questionnaires are prepared, and managers of an anonymous TFT-LCD manufacturer are asked to fill out the questionnaires. Based on fuzzy extended analytic hierarchy process (FEAHP), the results of the questionnaires are analyzed, and a ranking of green suppliers can be obtained. With the proposed model, manufacturers can evaluate the green suppliers and select the most suitable green supplier for cooperation.