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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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 acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
HighHighHighMedium
Timedifferent
30-90 min Setup, danach laufendMehrere Tage bis Wochen1-6 Wochen1-4 h
Participantsdifferent
1-82-64-103-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationMORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
ForecastingFlowDelivery
Root causeSafetySystemicIncident
QualityProblem solvingRoot cause
Root causeProblem solvingQualityIncident
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