Fuzzy Inference System for Risk Assessment of Wheat Flour Product Manufacturing Systems

The goal of this research is to create an intelligent system to assess the manufacturing system’s level of risk for wheat flour products. Five Fuzzy Inference Systems (FISs) are arranged in two layers of the model to assess the risk associated with a system that produces wheat flour products. There are four FISs with three criteria (Occurrence, Severity, and Detectability) in the model’s first layer. The final input for the manufacturing system will be determined from every physical, chemical, biological, and environmental failure. The suggested model, which is based on Mamdani FISs, ranks the manufacturing systems for wheat flour products according to their performance. A four-step approach (i.e., eliciting hazard information for experts, fuzzification, inference, and defuzzification) brings to an evaluation of the final risk level in a real-world wheat flour manufacturing system to 22.5%, which shows a fair situation, and it represents a manufacturing system with a high-risk level.