Utilising of AI/ML technology in project Controls will be done in 2 stages;
1. historical data for similar projects in a different discipline; collected from As-Built Model, including 4D and 5D data and the validated previous stored projects' data.
2. Current project cost/time performance considering expected risks (EVM calculation with a risk factors algorithm), to predict real-time monitoring for time and cost at completion during the delivery stage.
The methodology of building ML application for any project will be the same as the following steps
1. Collect Date (depending on the project discipline, Business intelligence application to be used in data analysis)
2. Develop Multi-Objective Genetic Algorithm "MOGA" for CPM analysis and EVM calculation with Risk Factors
3. Train Model / Supervise learning (Neural Network to be considered)
4. Deploy Model / get the data back to Maintain and update the model
