Abstract
The maintenance decision analysis of equipment has always been one of the hot spots of concern for researchers. A maintenance policy for parallel production systems is investigated in this study, with the parallel components having equal cost parameters. The rejection rate indicates the degradation degree of the machine, and the rejection rate is assumed to be obtained by detection. The maintenance strategy proposed in this paper involves two threshold values. By optimizing with genetic algorithm, the threshold values [Formula: see text] and [Formula: see text] corresponding to the minimum expected total cost can be found. Finally, the result of sensitivity analysis is shown that the cost parameter has a great influence on the threshold values.
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