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

Abstract

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.

Keywords

• sustainability
• sustainable supplier selection
• fuzzy inference system (fis)
• fuzzy ahp
• fuzzy topsis
• fuzzy mcdm