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| Criterion | ![]() Operations PDCA Cycle | ![]() Delivery Value Stream Mapping | ![]() Operations MORT Analysis | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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. | 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 | Low | Medium | High | High |
Timedifferent | 1 h bis mehrere Wochen | 1-3 h | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 1-8 | 4-10 | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Current-state map, Future-state map, Bottleneck list | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Continuous improvementLeanExperiments | LeanFlowWasteDelivery | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |



