Functional risk modeling and selective maintenance optimization approach for multi-stage manufacturing system considering operational robustness

Operational robustness of multi-stage manufacturing system is the premise to ensure product quality, and product quality is the direct reflection of the functional risk. Nevertheless, current maintenance strategies often overlook the functional risks and operational robustness of running manufacturing systems. Therefore, a functional risk model and selective maintenance optimization approach considering operational robustness are proposed. First, on the basis of the definition of the operational robustness of multi-stage manufacturing systems, the functional risk formation mechanism is defined, and the principle of selective maintenance is proposed. Second, the synergistic effect between functional risk and operational robustness is expounded, and a comprehensive evaluation model of functional risk considering operational robustness is described. Third, a selective maintenance method that considers robust parameters is proposed to ensure the operational robustness of a multi-stage manufacturing system, and an adaptive simulated annealing-particle swarm optimization (ASA-PSO) algorithm is used to obtain the optimal maintenance decision to maximize operational robustness. Finally, the effectiveness of the proposed method is demonstrated using a ferrite phase-shifting unit manufacturing system as an example.