| With the improvement of China’s economic development level,the automobile industry has been vigorously developed,and the scale of automobile ownership has been expanding year by year.The development of the automobile industry and the improvement of the penetration rate have brought a huge space for the development of the automobile after-sale market.If automobile enterprises want to gain benefits and occupy a favorable position in the after-sale market,they must improve their after-sale service level.The key to automobile after-sale service level lies in the inventory management of automobile parts.How to establish a more scientific inventory management method and reduce inventory cost according to the change of market demand is an urgent problem to be solved by automobile after-sale enterprises.Based on the domestic and foreign auto parts inventory demand forecasting and inventory management research,for a single company car spare parts inventory management present situation analysis,found that there exists a classification is too simple,the company stock take fund is high,the backlog quantity,the problem such as inaccurate demand plan,and analyses the reasons of the problems,study out the train of thought to solve the problem.Firstly,17 kinds of auto parts of U company are classified by the combination of AHP and ABC classification method,and compared with the original classification method,the effectiveness of this classification method is proved.Secondly,the Extreme Learning Machine algorithm optimized by genetic algorithm is used to predict the demand of auto parts,and the relative accuracy of the selected model is proved by comparing the prediction results with those of other models.Finally,based on the classification results,the inventory management optimization schemes for different types of auto parts are put forward.The economic order quantity model is used to calculate the optimal order quantity and order cycle of auto parts,which reduces the inventory cost.The auto parts demand forecast and inventory management optimization method proposed in this paper aims to help U Company reduce the inventory quantity,reduce the inventory occupied funds,improve the efficiency of inventory management of U Company,strengthen the inventory turnover,and provide certain reference for the inventory management work of other companies in the industry. |