# Fuzzy-FMEA Theory Approach for Prioritizing Supply Chain Nervousness Factors
## 2 Literature Review
The MOORA-FMEA-based model is proposed for selecting sustainable suppliers with insights into volume discounts, disasters, and governmental changes [51]. FMEA and fuzzy-VIKOR are used to explore risks in the food grain SC and suggest risk mitigation classifications to support decision-making [52]. The FMEA technique is employed to effectively analyze the security of gas station SC systems [53]. A comparative study of risk management strategies was conducted by incorporating FMEA with the hybrid AHP-PROMETHEE procedure to assess suppliers in an SC risk-based environment [54]. Firms can mitigate SC risks through proper utilization of FMEA in supplier selection [55]. Moreover, the integrated multi-criteria analysis-Saaty method joined with FMEA is proposed to identify and evaluate the related logistics chain constraints [56]. The gray theory involves using known and unknown information. A gray theory is suitable for assessing SC risks as it can correctly and effectively define and monitor performance and the laws of evolution [57]. The weighting technique and gray theory are effective methods for SC risk assessment [41]. By combining the fuzzy theory and gray theory, it is possible to calculate the degree of correlation of each vulnerability index and improve the target of SC vulnerability [58]. The fuzzy arithmetic operation approach provides an acceptable fuzzy spread for analyzing fuzzy interconnection. Using this method, decision-makers usually want to accurately estimate uncertain influencing aspects in uncertain environments [59]. The fuzzy-AHP method is proposed to determine the local and global weights to evaluate alternatives [60]. The fuzzy-AFDEMATEL model is constructed to deal with potential fuzziness that exists in sustainable SC management (SCM) systems [61]. A fuzzy-based model is offered for SC design and network resilience evaluation and analysis [59]. An integrated model composed of fuzzy-DEMATEL and ANP is proposed to prioritize food SC performance measures [62]. Given the cost and quality of SC, the crisis requires rapid decision-making in complex and vague environments [63]. Companies should improve the decision-making process and assist SC managers in choosing solutions depending on their significance and effect on business. SCs need to continue to use technology to withstand future risks and interruptions [64], consider the SC vulnerable and vulnerability drivers [65], and secure supply in crises like the COVID-19 pandemic situation [66]. To fill the gap in previous studies, this research first explores the SCN parameters and then proposes the integrated fuzzy-FMEA-gray correlation approach to rank the SCN-related factors based on their impact and priorities. This can be attained by the inclusion of important SC system nervousness parameters. The suggested nervousness assessment methodology consistently processes diverse types of information from multiple sources, whether it is quantitative or qualitative, to address nervousness input uncertainties. It can offer accurate results while maintaining a certain level of easiness and acceptable operation simplicity.