Six Sigma
Six Sigma is a data-driven methodology for reducing process variation and defects, using statistical tools and the DMAIC cycle (Define, Measure, Analyse, Improve, Control). It aims for near-defect-free output and is widely applied in manufacturing quality improvement.
Six Sigma quantifies quality in terms of variation: fewer defects per opportunity means a higher sigma level. Practitioners use structured DMAIC projects, statistical process control and root-cause analysis to find and lock in improvements. It is often combined with lean (Lean Six Sigma) to remove both variation and waste.
Related reading
Related terms
SPC (Statistical Process Control) · Root Cause Analysis (RCA) · Lean Manufacturing · FMEA (Failure Mode and Effects Analysis) · NDT (Non-Destructive Testing)
Where this applies
Running a process capability study · Rolling out statistical process control (SPC) · Improving first-pass yield · Rolling out mistake-proofing (poka-yoke)