Evaluating sustainability in the textile sector using WASPAS and TOPSIS: A multicriteria decision-making approach

The aim of this study is to evaluate the sustainability performance on a yearly basis using the indicators presented in the sustainability reports of a global textile group. For this purpose, the sustainability performance indicators presented in the reports for the specified years have been identified. The inclusion of numerous criteria in this yearly evaluation has made the study suitable for the use of multicriteria decision-making techniques. In the decision-making process of the study, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS), which are commonly used and provide reliable results, were applied to determine the best alternative. Results show that the same the ranking order of alternatives was obtained with both proposed approaches, indicating that the decision models reflect consistent outcomes in the evaluation of alternatives. It was concluded that the performance, in the context of the evaluated criteria, showed an increasing trend over the years, with the highest performance observed in 2023.

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Publication Details

Journal
Textile Research Journal
Published
2025-12-27
DOI
https://doi.org/10.1177/00405175251380811
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

Evaluating sustainability in the textile sector using WASPAS and TOPSIS: A multicriteria decision-making approach

Eda Acar
Textile Research Journal
Sustainable Supply Chain Management
article

Evaluating sustainability in the textile sector using WASPAS and TOPSIS: A multicriteria decision-making approach

Eda Acar
article en

Abstract

The aim of this study is to evaluate the sustainability performance on a yearly basis using the indicators presented in the sustainability reports of a global textile group. For this purpose, the sustainability performance indicators presented in the reports for the specified years have been identified. The inclusion of numerous criteria in this yearly evaluation has made the study suitable for the use of multicriteria decision-making techniques. In the decision-making process of the study, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS), which are commonly used and provide reliable results, were applied to determine the best alternative. Results show that the same the ranking order of alternatives was obtained with both proposed approaches, indicating that the decision models reflect consistent outcomes in the evaluation of alternatives. It was concluded that the performance, in the context of the evaluated criteria, showed an increasing trend over the years, with the highest performance observed in 2023.

Textile Research Journal
Ege University (TR)
Openalex Percentile: Top 25%
Sustainable Supply Chain Management
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