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| Criterion |  Operations Bottleneck Analysis |  Engineering Failure Scenario Analysis |  Knowledge Modeling Knowledge Mapping |  Operations Theory of Constraints |
|---|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 1-3 h | 1-3 h | 2-4 h Analyse, laufend |
Participantsdifferent | 3-8 | 3-8 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | FlowMeasurementConstraints | FailureResilienceRisk | KnowledgeMappingRisk | OperationsConstraintsFlowImprovement |