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| Criterion |  Operations Theory of Constraints |  Delivery Monte Carlo Forecasting |  Decision Making Constraint Analysis |  Operations ALPEN Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 2-4 h Analyse, laufend | 30-90 min Setup, danach laufend | 30-90 min | 10-20 min daily |
Participantsdifferent | 3-12 | 1-8 | 2-8 | 1 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Constraint Map, Improvement Plan, Flow Metrics | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | OperationsConstraintsFlowImprovement | ForecastingFlowDelivery | ConstraintsDecisionPlanningOptions | PlanningTime managementProductivityOperations |