Research On The Products Foecasting Of Taian Huicheng Architectural Technology Co.Ltd.

An enterprise wants to be in intense market competition the survival and the development, must give customers satisfied with the products or services. So how to make customers satisfied? In order to solve this problem, a lot of enterprises to improve product quality, and ensure timely supply and other aspects of the potential has almost into full play. And adopted a lot of method, continue to study the needs of customers, for different customers to develop targeted marketing strategy; the implementation of product classification management and control, in order to improve enterprise beneficial result.In this paper, from Huicheng Company to start the company's production management process, the preparation of its production plan for a thorough investigation, the use of advanced production management, production management philosophy of the entire process of a detailed analysis, which identified the problems; secondly, status of the problems in depth study, based on the company's production and operation Huicheng Company present situation of the organization to solve Huicheng Company produced passive, unable to meet customer requirements countermeasures that the first use Comprehensive score classification method according to product on company profits, the size of the contribution, sort classification. Comprehensive A class of products to be of key control, Comprehensive B class products for general control of the Comprehensive Class C products to reduce or give up control means, to focus on profitability related to the company's products. In the control of the process, a Comprehensive Class A product of customer demand forecasting and the use of qualitative and quantitative method of combining forecasts, scientific and effective forecasting, to fully meet customer delivery and quality requirements. This established a more feasible in the final predictive model, and a Comprehensive Class A product selected from a representative of the product, carried out with the Seasonal index forecast verification, proved the proposed prediction method is feasible for the company's Xpresspreparation of future production plans have strong significance.