Business Plan For Gas & Fuel Boiler Artificial Intelligence Control System Of YiFeng Company

At present, because pollution management, environment promotion and economy development in harmony have been included in our country's macroeconomy development planning, New-type gas and fuel boiler faces the bright market prospects. Combining marketing tendency, Chengdu YiFeng company is going to carry out the project of producing artificial intelligence control system for gas and fuel boiler. Focus on the project of YiFeng company, this plan gives the detailed analysis on situations of market and competition. Beginning with market combined strategy, large-scale production organization, this paper does the deep-going research and planning on the operation of the project.In terms of planning of combined marketing strategy, according to further analysis of problems encountered when trying to put the products forward into market. Inducing and summarizing the marketing characteristic of products, introducing the notion of relationship marketing, guided under the tri-party relation gradient model of cosrumer, life period and project, planning and demonstrating the methods and strategies of influential factors such as government department, industry media, expert and industry association etc. related to gas and fuel boiler controlling system. Aimed by combined marketing strategy product pricing, localizing and promotingadvertise on industry media in difficult life period of product. Pushing the sales of product, realizing the goals in stages of project introduce and development.In the facet of large-scale production organization, this plan unites production technological process, operation process and quality control system, according to the complex characteristics of project production which covers the scheme designing, in-plant implementing and complicated costumer service. Based on the above mention measure, the author sets up a process management model the feature of the model is that it recombines the department and relationships among related employees. Through the tasks structural decomposition, setting up close connection channels between tasks, making the completion of tasks more smoothly, surmounting the drawback of functional organization structure, harmonizing and uniting realization of plural targets.In the meantime, the feasibility study and detailed financial prediction in this project are evaluated, the results indicate that the FIRR of this project is 20.92%, superior to 17% base FIRR of the same industry. The project not only is feasible, but also has good investment value and social, comprehensive benefit.