Process improvement strategies such as Six Sigma help to understand and tackle bottlenecks in the production phase in a structured manner. However, about 75% of production problems can be traced back to bad choices in the design phase. To guarantee high quality faster and with lower costs, it is therefore necessary to focus on statistical dispersion (variance reduction) starting at product development. By embedding the desired quality during the design process – Design for Six Sigma (DFSS) – we realize a cheaper process and shorter time to market!
DfSS is a structured approach with different phases which fit any R&D-milestone procedure. To learn more about this data driven method, please explore the the different phases in the submenu.
