An integrated best-worst and interval type-2 fuzzy TOPSIS methodology for green supplier selection


Yucesan M., Mete S., Serin F., Celik E., Gul M.

Mathematics, vol.7, no.2, 2019 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 7 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.3390/math7020182
  • Journal Name: Mathematics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: MCDM, BWM, interval type-2 fuzzy sets, TOPSIS, green supplier selection, plastic injection molding, ANALYTIC NETWORK PROCESS, HYBRID MCDM APPROACH, DECISION-MAKING, CHAIN MANAGEMENT, PERFORMANCE EVALUATION, CUSTOMER SATISFACTION, VENDOR SELECTION, NEURAL-NETWORK, LOGISTICS, FRAMEWORK
  • Istanbul University Affiliated: No

Abstract

© 2019 by the authors.Supplier selection is one of the most important multi-criteria decision-making (MCDM) problems for decision-makers in the competitive market. Today's organizations are seeking new ways to reduce the negative effects they have on the environment and to achieve a greener system. Currently, the concept of green supplier selection has gained great importance for its ability to incorporate environmental or green criteria into classical supplier selection practices. Therefore, in this study, a multi-phase MCDM model based on the best-worst method (BWM) and the interval type-2 fuzzy technique for order preference by similarity to ideal solution (IT2F TOPSIS) is proposed. A case study in a plastic injection molding facility in Turkey was carried out to show the applicability of the proposed integrated methodology. The paper offers insights into decision-making, methodology, and managerial implications. Results of the case study are examined and suggestions for future research are provided.