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Criterion
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
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.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.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.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
LowMediumMediumHigh
Timedifferent
45-120 min1-3 h1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-84-103-121-8
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Waste Map, Prioritized Waste, Improvement BacklogCurrent-state map, Future-state map, Bottleneck listKnowledge Map, Critical Knowledge Areas, Transfer PlanForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
WasteLeanProcess improvement
LeanFlowWasteDelivery
KnowledgeMappingRisk
ForecastingFlowDelivery
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