Generating General Defect Frequencies for Plant Construction in Mechanical Equipment Disciplines Using Monte Carlo Simulation

This study focuses on generating general defect frequencies (GDF) for mechanical and piping disciplines to manage construction defects during plant construction. The generated defect frequencies are based on historical defect data using Monte Carlo simulation, incorporating various variables such as installation conditions, installer experience, and environmental factors. These general defect frequencies are provided for each equipment type in the mechanical and piping sectors. Integrating these frequencies into the existing Risk-Based Execution for installation (RBE-i) system significantly enhances its accuracy in evaluating and mitigating potential risks associated with construction defects. By improving the risk assessment accuracy of the RBE-i system, this study is expected to contribute to safer and more reliable plant construction projects. This innovative approach transcends conventional empirical methods, setting a new standard in construction risk management and promoting higher safety and efficiency in industrial plant projects.