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Criterion
Paper illustration for Theory of Constraints.
Operations
Theory of Constraints
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.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.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
HighLowLowMedium
Timedifferent
2-4 h Analyse, laufend20-60 min10-20 min daily1-3 h
Participantsdifferent
3-12113-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Constraint Map, Improvement Plan, Flow MetricsPlain-language Explanation, Knowledge Gaps, Study NotesDaily Plan, Time Estimates, Review NotesBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
OperationsConstraintsFlowImprovement
LearningKnowledgeUnderstanding
PlanningTime managementProductivityOperations
FlowMeasurementConstraints
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