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| Criterion |  Operations Fault Tree Analysis |  Operations Causal Factor Analysis |  Knowledge Modeling NeOn Methodology |  Operations MORT Analysis |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. |
Complexitysame | High | High | High | High |
Timedifferent | 2-6 h | 2-6 h | Mehrere Wochen bis Monate | Mehrere Tage bis Wochen |
Participantsdifferent | 3-8 | 3-10 | 2-10 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | RiskRoot causeSafety | CausalityIncidentRoot causeTimeline | OntologyMethodologyReuseSemanticEngineering | Root causeSafetySystemicIncident |