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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Purposedifferent
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 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.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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.
Complexitydifferent
LowMediumHighLow
Timedifferent
45-120 min1-3 h30-90 min Setup, danach laufend15-30 min
Participantsdifferent
2-84-101-82-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk CommunicationRoot cause notes, Countermeasures
Tagsno overlap
WasteLeanProcess improvement
LeanFlowWasteDelivery
ForecastingFlowDelivery
Root causeIncidentLeanProblem solving
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