Table of contents

Solving a Python-based model

Describes the overall process for solving a simple example using a Python-based model.

This example steps you through the basic process to create a model in Decision Optimization and examine it under different scenarios. The basic workflow is as follows:

  1. Create a project.
  2. Add data to the project.
  3. Add a Decision Optimization model (a scenario is created by default in the Model Builder).
  4. Select and import your data into the scenario.
  5. Create or import your Python model.
  6. Run the model to solve it and explore the solution.
  7. Copy the scenario and edit the data in the context of the new scenario.
  8. Solve the new scenario to see the impact of the changes to data.
Workflow showing previously mentioned steps