Establishment of big data evaluation model for green and sustainable development of enterprises

Abstract

Big data analytic is described as the complex process of investigating big data to reveal hidden data such as patterns, market trends, and correlation, and customer preferences. This might help to take important decisions. To analyze the big data from the industries we proposed a new optimized green supply chain management approach. This also mitigates the inherent risk that occurs due to hazardous materials. This includes emission of carbons and economic cost. Here we consider three scenarios. The former one is used to deal with the emission of carbon and mitigates the risk. The second scenario can be used to reduce both emission and risk and minimize the overall cost. The latter scenario can be used to reduce all three factors simultaneously. The findings and discussion are performed to showcase the advantages of the proposed method.