Designing a Model for Optimizing Operation of Production Processes in Industry 4.0

Industry 4.0 represents a shift from centralized to decentralized production, involving cyber-physical systems. This transformation aims to reduce costs and wastes by implementing timely preventive measures. Our study proposes an optimized model for production processes in Industry 4.0’s cellular manufacturing systems. We employ a combination of failure mode and effects analysis (FMEA), prospect theory (PT), and Shannon entropy for this purpose. The critical failure modes are identified through a comparison with reference points. Shannon entropy is used to determine the importance of each risk factor in the FMEA method. By calculating the utility value through the prospecting method, the critical failure modes are prioritized. Specifically, FM7 and FM14 are assigned the first and second priority, respectively. To validate our approach, we evaluate its effectiveness in a real world scenario an auto parts manufacturing factory. This proposed framework empowers managers to enhance risk analysis, control factors and the impact of failure modes, and elevate safety and reliability levels in production systems.