Research on the Combination Method of Spare Parts Consumption Data
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Shenyang Liu, Qian Zhu, Xiaopei Shi, Yongliang Zhang, Chen Zhu
Through an analysis of the problem of lacking of spare parts consumption data in some environments, this paper combines spare parts consumption data in different environments, applies equipment reliability theory and probability theory to establish spare parts consumption combination models. The calculation method could be used to solve the difficult problem of developing a reserve program of spare parts since it is not easy to find out spare parts consumption rule. The models provide a theoretical basis for calculating reserves of spare parts scientifically and have an important guiding significance.
Spare parts consumption data, different environments, combination methods, probability theory.