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| Criterion | ![]() Operations PDCA Cycle | ![]() Decision Making Constraint Analysis | ![]() Operations A3 Problem Solving |
|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 30-90 min | 45-90 min |
Participantsdifferent | 1-8 | 2-8 | 2-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | Continuous improvementLeanExperiments | ConstraintsDecisionPlanningOptions | LeanProblem solvingCoachingOperations |
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