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| Criterion |  Systems Thinking Polarity Mapping |  Systems Thinking System Dynamics Simulation |  Operations Root Cause Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-2 h | Mehrere Tage bis Wochen | 1-4 h | 15-30 min |
Participantsdifferent | 3-12 | 1-5 Modellierende, Stakeholder asynchron | 3-8 | 2-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Simulation Model, Scenario Reports | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | Systems thinkingTradeoffsLeadership | Systems thinkingDynamicsSimulationAnalysis | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |