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25-02-2021 | Methodologies and Application

Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing

Authors: Sanjay Kumar, Asim Gopal Barman

Published in: Soft Computing | Issue 8/2021

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Abstract

Green factors toward an environmental performance of suppliers have impeccable importance and contributions. The research study is carried out by employing fuzzy-based multi-criteria decision-making processes in order to evaluate the environmental performance of suppliers. Firstly, the criteria are identified for assessing the environmental performance of suppliers and secondly, the rating of selected criteria and its alternatives (suppliers) are framed as per the expert’s opinion, by combining the qualitative criteria through fuzzy technique for order preference by similarity to ideal solution (TOPSIS) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to generate an overall score for each alternative. The supplier obtained the highest score which is ranked one. It means that the supplier has the highest environmental performance. Fuzzy TOPSIS differentiates between benefit (higher the better) and the cost (lower the better) criteria. VIKOR method selects and ranks the best supplier among the alternatives in supply chain, whereas TOPSIS method chooses the best alternatives which are closest to the positive ideal solution and the worst alternative is farthest to the negative ideal solution. Sensitivity analysis is performed to analyze the effect of criteria weights on environmental performance. Radar diagrams of fuzzy TOPSIS and fuzzy VIKOR are developed from sensitivity analysis for varied criteria weights. A case study has been adopted on a small-scale sponge iron and steel industry, located in the eastern part of India.

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Title: Fuzzy TOPSIS and fuzzy VIKOR in selecting green suppliers for sponge iron and steel manufacturing
Authors: Sanjay Kumar
Asim Gopal Barman
Publication date: 25-02-2021
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 8/2021
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-021-05644-1

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