Analyzing critical successful factors of vinfast in selecting green suppliers

Abstract

Increased environmental consciousness has made it essential for businesses to choose suppliers based on sustainable and green factors. This thesis proposes MultiCriteria Decision Making (MCDM) models, including Fuzzy Analytical Hierarchy Process (FAHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for data processing and to provide assessment and selection of green and sustainable suppliers in the automotive industry. Methods that could be applicable to studies on other topics and used in this analysis to identify a supplier selection approach for the producer. In particular, this study uses FAHP to determine the weights of proposed criteria. The FTOPSIS is employed to rank the suppliers. This study is outlined by the fact that VinFast describes the value of social sustainability and the automotive sector in Vietnam. This thesis is a piece of extensive knowledge of GSCM and sustainable supplier selection. Following analyzing results highlights short-term and long-term recommendations from donations of customers to increase collaboration between sustainability businesses.