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In a dependent multi-component system, increasing the deterioration of a partleads to the increased deterioration rate of other parts as well. In thesesystems, a deterioration limit is usually pre-determined for each part and theconsidered part is replaced while reaching this limit. In this paper,replacement conditions of these parts were examined according to thereplacement times in the past. Using dynamic programming, for everydeterioration rate of part 1, there is a deterioration limit for part 2, afterwhich either part 2 or both parts should be replaced. The only available systemdata are the replacement time of the parts in the past according to thereplacement policy at the time of reaching deterioration limit. Therefore,simulated annealing optimization method was used for estimating deteriorationrates. Finally, two examples were presented for comparing the proposed methodwith the special limit replacement method, which showed the significancesuperiority of the former.

Replacement Policy of Systems with Dependent Components via Integration of Dynamic Programming and Simulated Annealing