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. Create a model with a default scenario.
  4. Create and solve your model in the scenario.
  5. Copy the scenario and edit the data in the context of the new scenario.
  6. Solve the new scenario to see the impact of the changes to data.
Workflow showing previously mentioned steps