Table of contents

Solving a model using the Modeling Assistant

Describes the overall process for solving a simple planning and scheduling example using the Modeling Assistant.

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

  1. Create a project.
  2. Add a Decision Optimization model (a scenario is created by default in the Model Builder).
  3. Add and import your data into the scenario.
  4. Create a Natural Language model in the scenario, by first selecting your decision domain and then using the Modeling Assistant to guide you.
  5. Run the model to solve it and explore the solution.
  6. Copy the scenario and edit the model and/or the data.
  7. Solve the new scenario to see the impact of these changes.
Workflow showing the previously mentioned steps