Statistical Process Control
Six Sigma Methodology refers to a rigorous, disciplined approach for eliminating defects and reducing variability in processes through statistical analysis. It is a business management strategy that focuses on improving quality by identifying and removing the causes of errors and minimizing variability in manufacturing and service-related industries. Six Sigma combines elements from Total Quality Management (TQM), lean manufacturing, and statistical process control to improve efficiency, reduce waste, and lower costs, while increasing customer satisfaction. By utilizing a structured sequence of phases known as DMAIC (Define, Measure, Analyze, Improve, Control) or DMADV (Define, Measure, Analyze, Design, Validate), Six Sigma aims to drive continuous improvement across organizations and achieve near-perfect results, with no more than 3.4 defects per million opportunities.