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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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 tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.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.
Complexitydifferent
HighMediumHighMedium
Timedifferent
30-90 min Setup, danach laufend0.5-5 Tage2-6 h1-3 h
Participantsdifferent
1-84-103-104-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateFMEA Table, Risk Priority, Mitigation ActionsCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanContinuous improvementOperations
RiskQualityOperationsRoot cause
LeanFlowWasteDelivery
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