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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Kaizen Event.
Operations
Kaizen Event
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.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
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufend0.5-5 Tage1-3 h
Participantsdifferent
1-84-104-10
Formatdifferent
Workshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanContinuous improvementOperations
LeanFlowWasteDelivery
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk