The Rarely Used Spare Parts Demand Forecasting And Inventory Model Study In Pingshuo Group

With the global economic environment dramatic changes in recent years, the domestic economic market also has been affected, So that traditional spare parts supply management methods can’t adapt to the new situation. For the improvement of Pingshuo Group spare parts supply efficiency, which brings opportunities for spare parts supply management innovation. For these reasons, this paper focused on the demand and inventory management for rarely used spare parts.At first, in order to forecast rarely used spare parts more accurate, SVR forecast developed based on influence factors. Because of the various demand reasons, the history data need to analyzed and then use SVR training these analyzed to predict demand occurs time and quantity, which could give guidance for forecast practical.Secondly, in order to decrease rarely used spare parts inventory found, a new rarely used spare parts inventory management method is purposed based on the classification scheme using the prosperities about rarely used spare parts inventory. With a decision tree is defined by ID3algorithm based on classification result with rarely used spare parts procurement costs, inventory costs and other factors influencing factors. At last PINGSHUO rarely used spare parts inventory strategy can be got by using the decision tree and inventory strategy table.The research on rarely used spare parts demand forecasting and inventory strategy model help promote the theory and practice for rarely used spare parts supply management system in PINGSHUO, which has very important significance to Pingshuo Group at present.