Manufacturing Process Improvement through FMEA Analysis and Fuzzy Logic

The paper presents a method for improvement a robotized manufacturing process of electronic devices. It includes statistical Failure Mode and Effects Analysis (FMEA), fuzzy logic and visual technique for results interpretation. Collected data from experts are processed according to FMEA and used for development of intelligent fuzzy inference system, which result is visualized through heatmap. Such approach can support engineers for fast and correct decision making at manufacturing process with dynamic changes.