| According to the economics concepts and principles, the construction projects represent the nucleus of civilizations. The construction projects play a big role to achieve development in economics; the major target of system management of construction projects is to determine the factors which affect negatively on the primary goal which represents Net Profit.;The factors were determined by using industrial engineering principles and concepts, these factors are Variation Orders (VO), Additional Works (AW), Mobilization works (M) and Changing Drawings and Quantities (D&Q), these factors are common problems in construction industry and negatively affect the primary goal (Net Profit).;Creating the regression model by using design of experiments (DOE) principles to predict the net profit as a primary target in construction industry, this model can be used to optimize the factors for increasing the value of Net Profit. Forecast all factors to improve the performance in construction industry to deal with these factors according to the quality control tools and methods to improve the performance and avoid risk factors. Determine the approach of system management in construction industry according to the cost, time and quality to increase the Net Profit and to achieve the customer satisfaction (owners, consultants and users). In this research the Artificial Neural Network (ANN) was used in order to model complex relationship between the output (primary target) and the inputs which represent the factors that influence the Net Profit. |
