Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy...

Area of Science:

• Operations Research
• Supply Chain Management
• Environmental Management

Background:

• Growing environmental awareness necessitates green practices in all industries, including textiles.
• Green supplier selection (GSS) is a critical decision in green supply chain management (GSCM).
• The textile industry faces intense competition, making environmentally conscious supplier selection crucial.

Purpose of the Study:

• To develop and apply an integrated fuzzy multi-criteria decision-making (MCDM) approach for GSS.
• To address uncertainty inherent in GSS decision-making processes.
• To identify the most suitable green supplier within the Turkish textile industry.

Main Methods:

• Integration of Interval Type-2 Fuzzy Sets (IT2FSs) with Best Worst Method (BWM) for criteria evaluation (IT2F-BWM).
• Application of Interval Type-2 Fuzzy TODIM (IT2F-TODIM) for green supplier selection.
• A case study involving three green supplier alternatives (S1, S2, S3) and forty-two sub-criteria in the Turkish textile sector.

Main Results:

• The proposed IT2FS-based BWM and TODIM approach effectively handles decision-making uncertainty in GSS.
• Key sub-criteria influencing GSS were identified as dye and print quality, product design, profit, price variation, and purchase cost.
• Supplier S2 was determined to be the most appropriate green supplier based on the evaluation.

Conclusions:

• The integrated IT2F-BWM and IT2F-TODIM method provides a robust framework for GSS in complex industrial settings.
• The study highlights the importance of specific quality, cost, and design factors in selecting green suppliers for the textile industry.
• Sensitivity analysis confirmed the stability of the supplier ranking, reinforcing the validity of the findings.