Our Engineering Optimization process is crucial for striking a balance among different design objectives and constraints. With sensitivity analysis and robustness evaluations, we optimize designs to meet performance and cost requirements. We employ advanced statistical methods such as Design of Experiments (DOE) and Six Sigma to minimize testing cycles and incorporate optimization at the early stages of virtual prototyping, enhancing cost efficiency.