Process / pipelineProcess improvement
Six Sigma DMAIC
Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.
Open in MethodMindSoonVideoSoon
Read the full method
Members only
Sign inSign in with a free account to read this section.
Sources
- Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Related methods
Referenced by
Bayesian Control ChartBayesian Process Capability AnalysisBayesian Six Sigma DMAICBayesian Statistical Process ControlControl chartFailure Mode and Effects AnalysisHybrid Control ChartHybrid process capability analysisMulti-response Six Sigma DMAICOptimization-assisted process capability analysisOptimization-assisted Six Sigma DMAICOverall Equipment EffectivenessProcess Capability AnalysisQuality Function DeploymentRisk-based control chartRisk-based failure mode and effects analysisRisk-based Root Cause AnalysisRisk-based Six Sigma DMAICRisk-based statistical process controlRobust Process Capability AnalysisRobust Root Cause AnalysisRobust Six Sigma DMAICRoot Cause AnalysisSensitivity Analysis with Six Sigma DMAICSimulation-assisted control chartSimulation-assisted process capability analysisSimulation-assisted Six Sigma DMAICSimulation-assisted statistical process controlStatistical Process ControlTheory of ConstraintsValue Stream Mapping