Company R Demand Forecasting And Lead Time Management Based On Incomplete Information

With the development of science and technology and the progress of society, the demand of electronic products is more and more diversification and the renewal speed of the electronic products becomes quicker and quicker, Electronic OEM industry competition is becoming increasingly fierce. Electronic manufacturing enterprises are faced with inaccurate demand forecast, the increasing risk of excess materials, long supply chain lead time and not timely order response. Through the analysis of the characteristics of electronic OEM industry and the manufacturers demand forecast operation mode, the thesis has carried on the discussion and the induction to the electronic OEM industry demand forecast and lead time management problems. Combining the actual situation of R Company, using relevant theories of demand forecast, lead time management method and inventory management strategy, the thesis gives the corresponding solutions for incomplete information demand forecasting and lead time management problems of R Company. Through the establishment of effective forecast management system, integrated the use of the forecast management methods, using collaborative forecasting to do forecast management and strengthen information sharing and cooperation with brand companies, R company can optimize the forecast management. Through the optimization of business processes, using postponement strategy, the integrated use of collaborative planning, forecasting and replenishment strategy and application of strategic security inventory model, to optimize lead time. R Company can shorten the commitment lead time to customers and improve response speed.