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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
2-12 Wochen15-45 min1-3 h1-4 h
Participantsdifferent
3-101-82-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanPERT Estimate, Expected Value, Risk NotesCause Tree, Evidence Notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
Continuous improvementQualityProcess improvement
EstimationUncertaintyRisk
Root causeTreeIncidentQuality
Root causeProblem solvingQualityIncident
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