The Optimization On After-sale Spare Parts Logistics Operation In C Construction Machinery Manufacturing Enterprise

Perfect after-sale service has become a sharp weapon for construction machinery manufacturers to establish market position and win market competition. However, good after-sale service system is built based on. effective spare parts logistics operation Under normal circumstances, timely supply of spare parts service directly determines whether enterprises are able to provide maintenance and repair services for customers’ products in a timely manner or not.This paper is researching on after-sale spare parts logistics in construction machinery equipment manufacturer—C company in China, referencing the construction machinery industry background, analyzing the encountered practical problems in spare parts logistics operation mode, and providing solutions on C company’ spare parts logistics problems and key link of spare parts supply. Then, based on the above analysis it puts forward the optimization solution, which is also the focus of this paper.(1) It analyzes the impact factors of spare parts demand forecasting. And then, according to the different characteristics of each factor, and it uses the two methods to forecast the demand. It proposes the prediction data centralized collection and strengthening the human resources and capital investment.(2) In the light of problems like that spare parts inventory structure is unreasonable, first it improves the method to classify spare parts according to the statistical analysis of failures and the importance of customer classification, and then on the basis of the classification it establishes multistage inventory, that is, different categories of spare parts is stored in a corresponding level of warehouse and puts forward more effective spare parts inventory control strategy.(3) At last, it standards parts supply channels, and at the same time sets different order processing priority, takes effective measures to encourage the transverse replenishment between service providers and branches.After the optimization scheme was put forward, the author gives a qualitative forecast analysis and objective evaluation of the ultimate effect of the plan implementation in the enterprise.