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Simulation and decision

At a glance

The Simulation module lets you test hypotheses on your data without impacting production. Create "what if" scenarios, run temporal simulations, and use solvers to find the optimal configuration. Compare results side by side before deciding which changes to apply.

Concrete example: you manage a supplier network and want to evaluate the impact of a 10% price change. Create a scenario, apply the modification virtually, observe the cascading effect on orders and margins, then decide whether or not to apply the change.

What you will do

  • Create "what if" scenarios to test modifications risk-free
  • Compare multiple scenarios side by side with key performance indicators (KPIs)
  • Run step-by-step temporal simulations to see how things evolve over time
  • Use solvers to automatically find the best configuration
  • Apply a validated scenario to your production data in one click

Key vocabulary

TermMeaningExample
ScenarioAn isolated sandbox where you test modifications without impacting production."Increase supplier A price by 10%"
MutationAn individual modification within a scenario.Change the "price" property from 100 to 110
KPIA key indicator you track to evaluate impact.Gross margin, Total cost, Average lead time
SimulationA temporal execution that advances a scenario step by step.Simulate 12 months of price variations
SolverAn algorithm that searches for the optimal configuration under constraints.Minimize total cost by adjusting quantities
PortfolioA group of scenarios to compare simultaneously.Scenario A vs B vs C
  • Ontologie: scenarios apply to instances of your business model. Mutations virtually modify the properties of your entities.
  • Governance: applying a scenario to production can trigger an approval request if a policy is active.
  • Dashboard: dashboard KPIs can be compared between the reference scenario and your hypothetical scenarios.
  • Workflows: a workflow can create a scenario, run a simulation, and apply the result automatically.

Expected outcome

You can test hypotheses safely, compare impacts on your KPIs, and make data-driven decisions before applying changes in production.

Need help?

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