In order to solve the problems such as high maintenance cost and difficult spare parts banlance of complex electronic devices,considering the advantages of generalized stochastic Petri Net (GSPN) in characterization and analysis of dynamic change process of complex electronic devices,the optimization method of system spare parts based on Monte Carlo simulation was studied Finally,the feasibility of this method wass verified by a case study of an air conditioner.
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