Mathematical Model for Planning Repetitive Construction Projects in Iraq by Using Nonlinear Regression
摘要
Any project management system aims to complete the work within the allotted budget, on schedule, and with the necessary level of quality. It is necessary to create a cautious schedule in order to meet the project deadline. Time contingency and project uncertainty are essential for proper scheduling because of the nature of distinct repeating construction projects. These elements should be integrated and adaptable to accept changes without negatively influencing the construction project’s total duration. Scheduling and planning techniques that are repeated are more significant and productive. But because of the growth of execution methods—which are essentially predicated on the idea that building projects are repetitively composed of identical production units they require ongoing development. In order to determine the factors influencing the planning and scheduling of repetitive projects in Iraq, the researcher created a questionnaire and used software (SPSS V22) to analyze the key factors affecting the questionnaire’s results. The researcher then conducted interviews with experts in the field to ascertain those factors. Identifying the crucial component that will be used to construct the mathematical model using nonlinear regression using the data gathered from the Brainstorming Technique. A mathematical model was created which included building a mathematical model to predict the time of repetitive construction projects using nonlinear regression in statistical program (SPSS version 22). The RCPT (A) model was NLR methods the best model with coefficient of determination R2 is 80.40% and 0.920 by using NLR.