| With the comprehensive development of industrialization, the control technology on the basis of automation has been fully applied, especially in the metallurgical industry. The automatic control system serves as a support tool to ensure the enterprise’s technological content and product quality.In the presence of the unprecedented sever environment and the fierce competition, the metallurgy enterprises have realized that the technology is the core competence to achieve sustainable development. Therefore, in order to improve product quality, enhance management efficiency and improve the operation mode, the construction of advanced automation project has become the highest priority.However, a large-scale metallurgical engineering project includes a broad range of professions, a wide variety of interfaces, and various professional enterprises are required to cooperate. But because of the different business and management processes of external professional enterprises, the different communications and different understandings to risks increase. As the system per se is huge-scale, the internal construction side has different communications and different understandings of the project target. Thus, all internal departments of the construction side work together effectively in accordance with the strategic target and constructive target of an automation project development, which is occupied with great difficulty and implementation risks. Due to the limited experience and vigor, the knowledge and the analysis to project is always not enough, increasing the difficulty of managing the risks, which has a direct impact on the quality, the progress and the cost of constructing the project affecting the benefit of the project.Taking an automation project of heavy rail production line as the example, combining the theories of risk control and project management, this paper represents to provide a method and a tool for analyzing the properties and the quantity of this complex Metallurgical Industry Automation Project Risk Management, focusing on using two methods of Analytic Hierarchy Process, Fuzzy Comprehensive Evaluation to study risk identification, risk analysis, risk response and other contents of the project, and make fuzzy evaluation of a large amount of fuzzy factors of the metallurgical automation project case, so as to evaluate the risk of the metallurgical automation project, analyze the potential risk issues of the project, propose appropriate risk responses. Then a timely and effective risk prevention and response reaction will be made to the project. A scientific management system will be provided for the risk management of metallurgical automation project. A reference will be provided for managing risk of such projects so as to improve the performance of risk management. |