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| Criterion |  Engineering Fault Isolation |  Operations Kaizen Event |  Operations PDCA Cycle |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | 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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-180 min | 0.5-5 Tage | 1 h bis mehrere Wochen | 30-240 min |
Participantsdifferent | 1-6 | 4-10 | 1-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | TroubleshootingDiagnosisEngineering | LeanContinuous improvementOperations | Continuous improvementLeanExperiments | TroubleshootingProblem solvingDiagnosis |