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| Criterion |  Operations Change Analysis |  Systems Thinking System Dynamics Simulation |  Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. | 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. |
Complexitydifferent | Medium | High | High |
Timedifferent | 45-120 min | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 2-6 | 1-5 Modellierende, Stakeholder asynchron | 3-10 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Simulation Model, Scenario Reports | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | Systems thinkingDynamicsSimulationAnalysis | CausalityIncidentRoot causeTimeline |
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