methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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 system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput.With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.
Complexitydifferent
HighHighMediumMedium
Timedifferent
30-90 min Setup, danach laufend2-4 h Analyse, laufend1-3 h1-3 h
Participantsdifferent
1-83-123-103-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationConstraint Map, Improvement Plan, Flow MetricsProcess Map, Handoff List, Improvement BacklogBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
ForecastingFlowDelivery
OperationsConstraintsFlowImprovement
ProcessOperationsImprovement
FlowMeasurementConstraints
Add more methods