Sustainable supplier selection under attractive criteria through FIS and integrated fuzzy MCDM techniques

Suppliers as upstream partners play a crucial role to establish sustainability in the supply chain. For precise evaluation of the supplier's performance on sustainability criteria researchers have mainly focused on Multi-Criteria Decision Making (MCDM) and Fuzzy Inference System (FIS) approache...

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Bibliographic Details
Published inInternational journal of sustainable engineering Vol. 13; no. 6; pp. 441 - 462
Main Authors Jain, Naveen, Singh, A. R., Upadhyay, R. K.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.11.2020
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Component and supplier management
Decision making
fuzzy AHP
Fuzzy Inference System (FIS)
fuzzy MCDM
Fuzzy TOPSIS
Iron and steel industry
Multiple criterion
Performance indices
Steel industry
Suppliers
Supply chains
Sustainability
sustainable supplier selection
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Summary:Suppliers as upstream partners play a crucial role to establish sustainability in the supply chain. For precise evaluation of the supplier's performance on sustainability criteria researchers have mainly focused on Multi-Criteria Decision Making (MCDM) and Fuzzy Inference System (FIS) approaches. The objective of the paper is to evaluate the supplier's sustainability performance through FIS and fuzzy MCDM approaches. Further, the results are compared and utilised to develop the Sustainable Supplier Selection (SSS) framework for the iron and steel industry of India. To calculate Suppliers Performance Index (SPI), three distinct FIS engines have been developed for each sustainability dimensions and fuzzy AHP and TOPSIS techniques are used for the MCDM environment. The results provide a deep inside of the sustainability performance of each supplier. It elicits from the results of two approaches, that ranks are interchanged among the top two suppliers.
ISSN:1939-7038
1939-7046
DOI:10.1080/19397038.2020.1737751