Research On Construction Of Collaborative Forecasting Model And Its System Based On CPRF

The development of the information and the internet technology, the acceleration of the technology revolution and the escalation of the competition bring about a distinct opportunity as well as a austere challenge. In order to Effectively managing supply chain, and scientifically forecasting the market demand, CPFR (Collaborative Planning Forecasting and Replement) comes out, and soon become the challenging problem in the management of supply chain. As the base of every plan in the supply chain, forecasting appears more important.By studying the relative papers home and abroad, we find that these research almost focus on the theory, and there is a lack of the research construction of collaborative forecasting system based on CPFR.However, in reality, from the point of the view of the collaborators, it is unrealistic to solve the forecasting problem with the complicated theory. As a result, it is very important to construct the collaborative forecasting system based on CPFR. This paper takes this as the research direction, and constructs the collaborative forecasting system based on CPFR.The detailed research is as followed:(1) The application of EWQR. EWQR is a newest forecasting method of the econometrics subject, and it is very accurate. We can improve the accuracy of the collaborative foecasting system by applying the method to the collaborative forecasting system based on CPFR.(2) The construction of the collaborative forecasting model. The processes of the collaborative forecasting system is the core of CPFR, and the same processes assure that the collaborators of the system can share exact POS data in time. The construction of the collaborative forecasting system can ensure the entire optimization among the collaborators, thus achieves the multi-win result.(3) The construction of the collaborative forecasting system based on CPFR. Based on the first3chapters’ work, we make use of Java to construct the collaborative forecasting system. Thus it is realized that the complacited computing problem becomes simpler and easier, and it can help the company user make the right decision.