Environmental Sustainable Supply Chain Risk Assessment Using Fuzzy Analytical Hierarchy Process in Iranian Electricity Industry

The environmental risk of the supply chain in the electricity industry is of great importance due to the many indicators and the extent of this industry. The expansion of the supply chain and the amount of fossil fuels consumed in this industry increases the importance of studies based on sustainability and compatible with the environment. As a result, the proper recognition and prioritization of the criteria affecting the green supply chain will greatly help the planners and operators of the electricity industry in order to reduce the environmental risk. In this study, an attempt is made to evaluate and investigate the risk of sustainable environmental supply chain using fuzzy hierarchical analysis (Cheng's method) in Iran's power plant industry. In this regard, 19 indicators were identified, collected and proposed based on interviews and review of past studies. Using the hierarchical analysis model in the fuzzy space and the opinions of 10 industrial and academic experts, the criteria were compared two by two and finally prioritized. According to experts, the modification of the price of energy carriers will have the greatest impact and the use of towers and masts with greater height will have the least impact on the risk of the sustainable environmental supply chain in Iran's power plant industry.