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Criterion
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.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.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
MediumLowHigh
Timedifferent
1-3 h45-120 min30-90 min Setup, danach laufend
Participantsdifferent
2-62-81-8
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Standard Work Sheet, Deviation List, Improved Standard, Training NeedsWaste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
LeanProcessQuality
WasteLeanProcess improvement
ForecastingFlowDelivery
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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