The Research Of Electric Vehicle Manufacturing ERP And Sales Forecasting Model Optimization

Middle and small manufacture enterprise in China have the problems of simple weaveconstruction, overlapping organizations, defective management system. On the one hand, onthe enterprise internal management, overlapping organizations lead to poor coordination ofvarious departments, unsmooth circulation of enterprise internal information. Thus, in the faceof the production tasks, companies can’t produce fast and accurate issued orders to makeoperational objectives vague and plan uncareful. Enterprise can’t keep up with the changingmarket, resulting in a great waste of resources. On the other hand, market competition is notthe competition between individual enterprises now, but the competition between the wholeenterprise supply chains. Implement ERP manufacturing companies can merge well supplierresources, customer resources, and various factors of production. ERP makes up the shortageof relying on human effort to integrate these resources ago and form the enterprise’scomprehensive competitive power. It is essential for small and medium-sized manufacturingenterprises, because of its small size and less information resources, to communicate timelywith their supply chain in the industry and timely access to information. ERP system cansolve the situation of business information-poor and infuse vigor and vitality to the enterprise.With the development of information technology, advanced information managementmeans are used in all walks of life. More and more manufacturing enterprises are moreconcerned about how to manage their own enterprises well by employing the advancedinformation management methods to maximize the use of the enterprise resources andoptimize the resources distribution.In view of the problems that occur in the development of the small and mediummanufacturing enterprises, such as the non-standardized business management and theunscientific business process, the thesis applies the scientific process specification methodinto the Electric vehicle manufacturing business process to analyze and optimize thepurchasing, sales, production, processing and so on in the business process and propose ageneral model for the manufacturing business production. And then it makes a demandanalysis of the purchasing, sales, and stocking activities in enterprises, and plans theresponsibility and function of sales, purchasing and stocking departments. Based on thedemand analysis, it abstracts the database model, designs the general framework of ERP anddevelops the Electric vehicle manufacturing ERP system with the actual conditions of theenterprises.However, ERP only solves the resources optimization problem in enterprise businessmanagement, but a lot of business data are accumulated in the background database with the operation of the ERP in enterprises, particularly in sales. If these data are analyzed to find outthe knowledge and regulations behind them, it can better guide the decision-making activitiesof business leaders. The thesis analyzes the sales-related data and constructs a salesforecasting model by using the methods of neural networks, time series analysis, grey theoryand so on. Under the guidance of the combinigng forcast theory, the minimum predictionerror method is adopted to guide the sales forecasting by comprehensively utilizing thecomparison results of the above methods. The sales forecasting system is developed on thebasis of the model, which can better provide support for business decisions and improveproduction efficiency of the enterprises.