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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree 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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.
Complexitydifferent
HighLowMediumMedium
Timedifferent
2-12 Wochen30-90 min30-90 min1-3 h
Participantsdifferent
3-102-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption ListCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
Continuous improvementQualityProcess improvement
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
Root causeTreeIncidentQuality
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