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Based on the analysis of actual consumption data of a large number of consumable spare parts and the application effect of the basic random inventory model, the current statistics of equipment spare parts consumption data in China, four forecasting methods are selected to obtain the forecasted demand and the standard deviation of the corresponding forecast error in each cycle and then find the smallest forecast error standard deviation and the corresponding forecast demand quantity. Finally, the forecast demand and the standard error of the forecast error are used to replace the corresponding values in the basic stochastic inventory model to obtain the demand for spare parts in the next cycle, which provides a basis for the preparation of spare parts procurement plans. A large number of application examples show that this method is more simple and practical, and the spare parts inventory level can be reduced by a large proportion.

Research on Consumable Spare Parts Inventory Management System Based on Forecasting Method