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Criterion
Paper illustration of System Dynamics Simulation with its method-specific working model.
Systems Thinking
System Dynamics Simulation
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration for ALPEN Method
Operations
ALPEN Method
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.
Complexitydifferent
HighMediumLowMedium
Timedifferent
Mehrere Tage bis Wochen45-90 min10-20 min daily1-3 h
Participantsdifferent
1-5 Modellierende, Stakeholder asynchron2-512-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Simulation Model, Scenario ReportsA3 Report, Action Plan, Root Cause AnalysisDaily Plan, Time Estimates, Review NotesCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingDynamicsSimulationAnalysis
LeanProblem solvingCoachingOperations
PlanningTime managementProductivityOperations
FeedbackSystems thinkingCausalityDynamics
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