Research On The Product Pricing Method Of Manufacturing Enterprises Based On Support Vector Regression

With the improvement of living standards and the increasing demand of material,the customer's demand gradually becomes individualized.Meanwhile,with the development of global economy and the progress of science and technology,the processing technology of manufacturing enterprises is gradually matured and the production equipment is more intelligent.The differentiation of products is more and more difficult to achieve,and enterprises cannot obtain high profits through product production.Thus,manufacturing industries are facing greater market pressures.Under this circumstance,the advantages of service in the enterprise competition gradually emerged.Therefore,the integration of service and manufacturing has become an important way for these enterprises to cope with the current competitive market environment to gain profits.As service is different from tangible products,with its unique characteristics,manufacturing enterprises cannot price the products in a traditional way after considering the integration of service and manufacturing,and traditional ways also cannot be applied to this environment.For the growth stage of the product,there are less market competitors and market competition is not fierce,the goal of the enterprise is to expand market share.So,for this period of products,manufacturing enterprises need to meet requirements of different customers to develop a different product prices.Therefore,in the context of the integration of services and manufacturing,this paper explores the pricing issues of products which are in the growth stage.First,this paper has analyzed current researches about product pricing and pricing influencing factors then discussed the problems.Therefore,we considered factors with enterprise investigation,and divided the product production process into three-stage: design,production and service – to analyze product influencing factors for the purpose of meeting customer requirements into the production process,then set up the product pricing influencing factor system.In order to accurately quantify and effectively control influencing factors of service stage and meet customer requirements greatly,this paper has measured the factors of service stage by feedbacks from customers and order fulfillments of enterprises.Then,using the advantage of Support Vector Regression algorithm(SVR)to solve small sample problem,this paper constructs the product pricing model based on SVR algorithm.Finally,this paper takes an enterprise as an example and analyzes the correlation between product pricing influencing factors and product prices by using the Pearson correlation analysis method.By comparison with BP Neural Network Algorithm commonly used in forecasting,the validity and reliability of the model are proved.And by comparing with the original pricing system,this one for individual product pricing can bring higher profits to enterprises,and provide a more scientific and reasonable pricing method as well as theoretical guidance for manufacturing enterprises while pricing.