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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for ALPEN Method
Operations
ALPEN Method
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.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.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
LowMediumLowLow
Timedifferent
1 h bis mehrere Wochen0.5-5 Tage30-90 min10-20 min daily
Participantsdifferent
1-84-102-81
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDaily Plan, Time Estimates, Review Notes
Tagsno overlap
Continuous improvementLeanExperiments
LeanContinuous improvementOperations
ConstraintsDecisionPlanningOptions
PlanningTime managementProductivityOperations
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