This chapter tackles one of the most common hurdles in supply chain modeling: infeasibility. You’ll see how Cosmic Frog flags errors when your model can’t satisfy all its constraints, and more importantly, how to track down the root cause. Starting with the validation report, you’ll learn how to spot critical errors, trace them back through sourcing or transportation policies, and fix the issues step by step.
But the real highlight is the Infeasibility Diagnostic Engine. Instead of leaving you guessing, this tool adds “slack” to constraints so the solver can reveal exactly which rules are breaking — and by how much. You’ll see it in action as constraints are adjusted, runs are re-executed, and infeasible models are turned into working ones.
Key features explained 🏆
Infeasibility Diagnosis Tools in Cosmic Frog
What is Infeasibility?
Reviewing the Example Model for Infeasibility Diagnosis
Example of Structural Infeasibility (Not Constraint-Based)
Identifying an 'Infeasible Run' in Run Manager
Checking the Validation Error Report for Root Causes
When the Validation Report Doesn't Identify the Issue
Using the Infeasibility Diagnosis Tool
Interpreting the Results
Suggested Pre-Work 💻
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