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

In: Multi-Criteria Methods and Techniques Applied to Supply Chain Management

Author

Listed:
  • Berna Bulgurcu

Abstract

Green supply chain management (GSCM) integrates environmental regulations into supply chain management to diminish the negative effects of supply chain processes on the environment. The environmental problems appeared by an enterprise arise from designing 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 consideration of five important GSCM drivers. The ranking result was as follows: A1 > A3 > A4 > A2 > A6 > A5.

Suggested Citation

  • Berna Bulgurcu, 2018. "An Intuitionistic Fuzzy Group Decision-Making to Measure the Performance of Green Supply Chain Management with TOPSIS Method," Chapters, in: Valerio A. P. Salomon (ed.), Multi-Criteria Methods and Techniques Applied to Supply Chain Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:135086
    DOI: 10.5772/intechopen.73701
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    More about this item

    Keywords

    intuitionistic fuzzy TOPSIS; group decision-making; green supply chain management;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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