Decision-Making Models for solving Green Supplier Evaluation and Selection problems

Abstract

With a growing global awareness of environmental protection, green production has become an important issue for almost all manufacturers. Supplier evaluation and selection has been a critical strategic concern for long time. A green supplier selection system is therefore necessary to determine the suitability of suppliers to cooperate with the company. Researchers have developed many decision-making (DM) models to handle the green supplier evaluation and selection problem. In this paper, we conducted a comprehensive analysis of ten-literature review on DM models for solving Green Supplier Evaluation and Selection (GSES) problem. The review is focused entirely on 1098 research articles published in academic journals between 1990 and 2020 and 271 DM models divided into 170 single models and 101 combined models were reviewed, our study focused just on the single models. The analysis of the ten review show that the Analytic hierarchy process (AHP) model is the prominent DM technique (160 articles are used them) followed by Data envelopment analysis (DEA), which 122 papers apply them to achieve this goal and 101 researches which utilized Technique for order performance by similarity to ideal solution (TOPSIS) model. As a result, the AHP, DEA and TOPSIS are the most popular DM models used to solve the green supplier evaluation and selection problem.