Research Of S Company’s SAP System Optimization

After many years’ development, China Beverage Industry has grown up and there is increasingly fierce competition in domestic and foreign markets. Prices of raw materials and labor are growing, beverage companies have to improve the competiveness to keep market advantage even to survive. This paper makes a research on S company’s SAP system, especially on sales forecast and MRP system. The research achievement can be referenced by similar companies.The research is based on latest sales forecast and MRP theory. Firstly, this paper builds a sales forecast model to fit S company’s peculiarity which includes seasonality forecast modeling, multiple regression analysis, season index, price, promotion and holidays. Secondly, the research focuses on three key points of S company’s current MRP system: the lack of key raw materials influences production; inaccurate BOM computation and inaccurate production lead time computation. After considering S company’s production process and technology characteristics, it builds reasonable coping mechanism and computation model to improve production efficiency and reduce production costs.The paper presents background and significance of the research, introduce the purpose, contents and achievements, firstly. Then, reviewed current research achievements on latest sales forecast and MRP system, analysis S company’s current condition and bring research thoughts and technologies of the paper. Chapter three and four analyses needs and targets of the sales forecast optimization in detail, then validate its effectiveness. Chapter five focuses on three key points of current MRP system and gives coping mechanism. At the end, the paper makes sum-up for the research and points out the shortage, also has an expectation to future study in this field.