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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck 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.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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
HighMediumMediumMedium
Timedifferent
2-12 Wochen1-3 h30-90 min1-3 h
Participantsdifferent
3-103-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDecision Tree, Option Map, Assumption ListCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
Continuous improvementQualityProcess improvement
FlowMeasurementConstraints
DecisionTreeOptions
Root causeTreeIncidentQuality
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