A hybrid model for analyzing the risks of green supply chain in a fuzzy environment

Effective adoption and implementation of green initiatives in greening a supply chain are threatened by several risks. Hence, investigating appropriate responses to mitigate risks is needed by most companies. The aim of this study is to propose a new approach for prioritizing the risks of Green Supply Chain (GSC) in a fuzzy environment. For this purpose, a fuzzy Multi-criteria Decision-Making (MCDM) approach is proposed for which, a systematic methodology is conducted by integrating a fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). The proposed approach makes the use of fuzzy DEMATEL in order to evaluate the weights of risk criteria. Then, the responses of GSC' risks are assessed and ranked based on six main risk categories and 12 criteria. To highlight the real-life applicability of the proposed approach, an empirical case study is conducted.