5. Project Performance Prediction

A project manager always encounters difficulties in predicting the performance of a construction project. Thus, there is a need to identify the predictor variables used to predict the performance of the construction project. In this chapter the 11 success factors derived earlier have been revisited. Out of these factors, project performance predictors have been identified using artificial neural network. Literature pertaining to performance prediction models has been reviewed and the superiority of ANN in performance prediction is established. Various steps in the ANN applications are clearly explained. The performance prediction models have been derived for all the four project performance criteria: schedule, cost, quality, and no-dispute. The steps to develop a user-interactive model to predict the performance of the construction project based on ANN are also explained. The prediction models may prove to be helpful to the project manager, project team, and top management to predict the performance of the project during its course.