Construction Project Process Performance Evaluation And Control Research

In order to achieve the final goal, many proprietors are strengthening the performance control based on the process of construction. But so far the process control in construction is only achieved through the experience and instinct of the implementers. To improve the operability of construction projects process control and the success rate, it is necessary to use the performance control model to evaluate the program implementation ,effect and its future development, and to be timely, truly, and accurately informed of the program implementation and its vistas, which helps to aware the problem and conduce the program implementation.Performance control includes such three concepts as evaluation, prediction and correcting divergence. From the perspective of the proprietors, this article tries to analysis the construction of the performance control of the program. The performance control research covers the construction of the performance norm system, the discussion of the performance evaluation method, and the study of the performance initiative control.Through analyzing the field's features and from the perspective of the related interest beneficiaries and the decisive factors ,the program performance index system is constructed which consists of six first rank indexes including the early stage, cost, quality, timing, security, as well as the overall norms, and 34 second rank indexes. The article also discusses the important factors that affect the 34 second rank indexes, and evaluates the proportion of each factor with regard to the second rank index by improving levels analysis method.Great amount of the performance related information (60 projects) is obtained under either normal or abnormal situation to establish the database program. The performance of any month during construction is evaluated through vague comprehensive evaluation method. To predict the program timing, cost, quality, security, as well as the satisfaction degree of the customers etc of the next month with the data of present months. A Neural Network Model is established. Based on the prediction result of the ANN model, initiatively control the timing, cost, quality and security can be carried out. With this method, possible divergence between the planning and carrying out can be corrected timely.