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Criterion
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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 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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
0.5-5 Tage1-3 h1 h bis mehrere Wochen30-90 min Setup, danach laufend
Participantsdifferent
4-104-101-81-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Kaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateCurrent-state map, Future-state map, Bottleneck listPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanContinuous improvementOperations
LeanFlowWasteDelivery
Continuous improvementLeanExperiments
ForecastingFlowDelivery
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