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| Criterion |  Systems Thinking System Dynamics Simulation |  DevOps Incident Command |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 | High | Medium | High | Low |
Timedifferent | Mehrere Tage bis Wochen | As needed | 2-6 h | 15-30 min |
Participantsdifferent | 1-5 Modellierende, Stakeholder asynchron | 4-15 | 3-10 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Simulation Model, Scenario Reports | Incident Log, Action Tracker, Stakeholder Updates | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | Systems thinkingDynamicsSimulationAnalysis | IncidentOperationsReliability | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |