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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for ALPEN Method
Operations
ALPEN Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.
Complexitydifferent
LowLowMediumMedium
Timedifferent
1 h bis mehrere Wochen10-20 min daily30-90 min0.5-5 Tage
Participantsdifferent
1-811-64-10
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeDaily Plan, Time Estimates, Review NotesDecision Tree, Option Map, Assumption ListKaizen Charter, Waste List, Improvement Experiments, Standard Work Update
Tagsno overlap
Continuous improvementLeanExperiments
PlanningTime managementProductivityOperations
DecisionTreeOptions
LeanContinuous improvementOperations
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