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Criterion
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Purposedifferent
When the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude.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.
Complexitydifferent
MediumHighLow
Timedifferent
1-3 h30-90 min Setup, danach laufend45-120 min
Participantsdifferent
2-61-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop
Outputdifferent
Standard Work Sheet, Deviation List, Improved Standard, Training NeedsForecast Percentiles, Throughput Dataset, Risk CommunicationWaste Map, Prioritized Waste, Improvement Backlog
Tagsno overlap
LeanProcessQuality
ForecastingFlowDelivery
WasteLeanProcess improvement
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk