Abstract
Sustainable materials with special focus on environment are the need of the hour. The alarming signs of global warming demands the emerge of sustainable industries with the goal of producing products using sustainable materials. The process of drawing optimal decisions on sustainable materials is highly intricated and henceforth this research work proposes a comprehensive and integrated approach of decision-making. Block chain together with Random Forest algorithm is leveraged in determining the sustainable material selection. The combined approach resolves the challenges of managing data integrity in obtaining precise results. On comparing the results using performance metrics, it is evident that the proposed approach facilitates optimum decision making of sustainable materials to a greater extent. This integrated approach shall be applied to several decision-making scenarios customizing the parameters to the need of the industrial problems.