Dissertation > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods

Domestic furniture market factors and Prediction

Author WangXiaoZuo
Tutor SunJianPing
School Northeast Forestry University
Course Art of Design
Keywords Furniture Domestic furniture market Furniture market demand AHP Time series analysis
CLC F426.88;F224
Type Master's thesis
Year 2011
Downloads 344
Quotes 2
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With the continuous development of reform and opening up , China's furniture industry has become in recent years, light industry, the rise of industry . 2008 as the U.S. \once again, opportunities for development, the domestic furniture market demand analysis is the first step in the product design , which prompted accurately grasp the market demand for domestic furniture as furniture manufacturing strategic development plan first condition . Firstly, from the domestic furniture market supply and demand on the type , level, there is a problem in areas such as domestic furniture market supply and demand situation analysis and the results showed that the current supply of types of furniture manufacturing dominates the private sector , mainly in the southern and eastern China demand type to the main furniture market demand , the supply level to large enterprises led to small and medium enterprises as the mainstay , the demand level to mid-range based furniture ; using the Internet questionnaire and analytic hierarchy process affecting the domestic furniture market demand macro environment and micro environment factors in weight order to determine the main factors for the population factor , GNP factors , furniture manufacturers own factors , the consumer market factors ; correlation analysis was then used for further influencing factors determining that the latter three factors and the domestic furniture market demand with high degree of correlation ; using time series analysis of the furniture manufacturing industry output trends analysis and forecasting modeling and software using MATLAB toolbox function for computing, realized using the first three years of the furniture manufacturing industry output forecast next year's GDP .

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