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| Criterion | ![]() Operations DMAIC | ![]() Operations Bottleneck Analysis | ![]() Decision Making Constraint Analysis | ![]() Decision Making Decision Tree |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 2-12 Wochen | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 3-10 | 3-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | Continuous improvementQualityProcess improvement | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |



