Research On Life-cycle Investment Early Warning And Control Optimization Of Power Grid Project

Investment control is an important content and key links in project management,under the condition of the progress and quality standard,to control the construction project investment to the approval of estimate quota category,and in a timely manner to correct deviation,thus effectively ensure project achieve good investment.With the constant improvement of enterprise management system in China,the investment management of the state-owned enterprises also gradually tend to be more reasonable,the project entity,bidding and other advanced mechanism was introduced,and the investment is flexibility greatly enhanced.But to a certain extent,the power industry investment control still exist various problems,such as the lack of reasonable investment field constraint,arbitrary decision making depends on more leaders,project responsibilities division is unknown.Strengthen monitoring to improve the investment benefit of the project investment has the effect that cannot ignore,is directly related to the survival and development of investment subject.Therefore,it is necessary to study early warning system for project investment control,give full consideration to various uncertain factors,the monitoring of the project investment total life cycle theory is introduced to formulate the corresponding monitoring system,puts forward targeted investment monitoring early warning model,in order to realize control and optimization of the project investment,in the process of power grid construction and reasonable planning,scientific layout,avoid risk.Based on the theory of whole life cycle,the first to analyze the various stages of the investment monitoring indicators in detail,on this basis,the power grid construction investment monitoring early warning model is established,and then introduce the actual case of power grid companies to do the actual analysis.Finally,according to the characteristics of the power grid project investment,targeted investment control and optimization strategy is proposed.