Reliability and Risk Evaluation Model for Intelligent Manufacturing Systems

Abstract:

To address the problem of reliability and risk assessment of intelligent manufacturing systems， an improved failure mode and effects analysis （FMEA） model for intelligent manufacturing systems is proposed for the reliability and risk evaluation of intelligent manufacturing systems. The FMEA model is improved from the perspective of innovative use of combined weight， the idea of technique for order preference by similarity to ideal solution and fuzzy vlsekriterijumska optimizacija i kompromisno resenje. In the calculation of the weights of decision makers， the weights of decision makers are obtained based on the idea of technique for order preference by similarity to ideal solution， in which the fuzzy analytic hierarchy process is used to calculate the subjective weight of risk factors and the entropy weight method is used to calculate the objective weight of the risk factors， which reduces the subjectivity. The results obtained from the improved model are analyzed by applying partition around medoids （PAM） clustering algorithm and applied to the risk evaluation of intelligent manufacturing systems， The importance of each failure mode in the intelligent manufacturing systems is determined， and the effectiveness of the improved model is verified by comparative analysis.