Fasten Group Steel Products Market Demand Forecast

The steel wire is the necessity of the national infrastructure, it wasparticularly needed in traffic, metallurgy, electrical power, coal, oil,machine...etc. In the last few years, the output of our country steel wirehike year by year, and the structure as well continuously perfect, but themass quality still contain gap between our country and the west nation,therefore the output was always decided by the sales in mostly industry, fiercemarket competition, especially Chinese into the WTO, western region develop,Demand prediction has became one of the subjects that the decision maker toconcern most.This thesis will firstly define the definition, function, basic principleand categories of the term "prediction" and then make a comparison betweencommon methods used in predicting the market demands. The fundamentalprinciple for predicting and analyzing is that a certain law exists in thedevelopment of any economies and can be recognized and mastered by people.For enterprise, this kind of law must also exists in its daily operations iftaking the relationship between different factors into accountant.Based on actual facts, this thesis focuses on the study of the sales dataand various economic indexes of the company in recent years and tries topredict the market demand for steel wire products in the following two years.The thesis also makes a brief analysis on the internal and external environmentas regards to main factors that influence the development of a company andmakes an objective assessment on the company' s current situation and history.On consideration of the situation of other companies in the same industry andall sorts of market information, the author will adopt comprehensive methodssuch as the rectilinear trend extrapolation method, curve trend extrapolationmethod as well as grey model method to make a prediction on the market demandof the company' s steel wire products. Then the author will make an examinationon the results in accordance with mathematical statistics and an analysis onthe feasibility of the predicted results based on the background of the companyand the general industrial situation, so as to prove that the results arereliable. Finally, some proposals will be put forward and it is hoped thatthey are helpful to the industry and the company mentioned in this thesis.