A SUSTAINABLE SUPPLIER SELECTION IN GREEN SUPPLY CHAIN FRAMEWORK USING FUZZY TOPSIS METHOD

Today’s growing awareness of environmental preservation and
 social responsibilities, the idea of sustainability is evolving into a fundamen
tal guiding principle for many industrial sectors. The value of the green
 supply chain (GSC) can be maximised through supplier selection (SS) to
 keep the business sustainable and profitable. A multi-criteria decision-making
 (MCDM) is the most desirable technique for choosing electric vehicle from a
 variety of options. The objective of this study is to create the testing process
 correlate with the analytical hierarchy process (AHP) and the technique for
 ordering performance by similarity to ideal solution (TOPSIS) that will be
 useful for performers in the vehicle company select the best electric vehicle in
 fuzzy surroundings where, subjectivity and ambiguity are handled by Param
eterized triangular fuzzy numbers for linguistic values. The electric vehicle
 selection problem’s structure is analysed using the AHP, and the weights cri
teria are determined. The fuzzy TOPSIS approach is then used to calculate
 the resultant ranking.