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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
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 process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.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.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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
30-90 min Setup, danach laufend45-120 min1-4 h1-6 Wochen
Participantsdifferent
1-82-83-84-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationWaste Map, Prioritized Waste, Improvement BacklogProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan
Tagsno overlap
ForecastingFlowDelivery
WasteLeanProcess improvement
Root causeProblem solvingQualityIncident
QualityProblem solvingRoot cause
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