In this episode, we dive into scenario building in Cosmic Frog—the heart of network optimization testing. Instead of manually reconfiguring your entire model for each "what if" analysis, you create modular scenario items that make specific changes to your data. Want to test closing a facility? Doubling demand for a customer? Removing flow constraints to see optimal behavior? Just build a scenario item, assign it to a scenario, and run. Each scenario can combine multiple items, letting you stack changes and test complex configurations in minutes.
But it doesn't stop there. You'll see how to build the two foundational scenarios every model needs: a Historical Baseline that replicates your real-world network using flow constraints, and an Optimized Baseline that removes those constraints to reveal immediate efficiency opportunities. We demonstrate hands-on techniques like excluding data with status changes, using condition builders to filter specific facilities or customers, applying mathematical formulas to adjust quantities, and creating reusable named filters. With Cosmic Frog's scenario framework, supply chain analysts can rapidly test dozens of network configurations, compare results against validated baselines, and identify cost-saving opportunities without rebuilding their models from scratch.
Understanding Scenarios: Testing Network Configurations to Answer Modeling Questions
Building a Historical Baseline to Replicate Real-World Operations
Creating an Optimized Baseline by Removing Flow Constraints
Using Scenario Items to Exclude Facilities or Adjust Data
Applying Actions, Conditions, and Named Filters to Control Data Changes
Visualizing Scenario Items in Grid and List Views
Setting Up Model Runs with Resource Sizing Considerations
Reviewing Job Records and Optimization Logs After Completion
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