Morocco is a significant producer of phosphate, an essential mineral for agriculture. However, traditional production methods are energy-intensive and environmentally damaging. The study employs a combination of process simulation software (e.g., Aspen Plus) for model development and validated with actual plant data. Process optimization techniques are applied to identify the most efficient operating conditions. A novel statistical model predicting optimal reaction rates was developed, showing an average improvement in energy efficiency by 25% compared to current practices. Advanced chemical engineering processes have been successfully implemented, demonstrating significant improvements in resource utilization and environmental sustainability. Further research should focus on scaling up these processes for wider adoption across Moroccan phosphate production facilities. Morocco, Phosphate Production, Chemical Engineering, Optimization, Process Simulation The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.