Blending optimization problems involve combining several resources or materials to create products that meet specific requirements at lowest cost. The blending may include many different types of materials, such as: cement, wine, oil products, and feed stocks.
Key features of this model:
- Description: Implements a real cement blending optimization problem from a 1977 cement and concrete research paper.
- Category: Blending.
- Type: LP.
- Library: SciPy.
- Solver: SLSQP.
Notes:
- The model has been modified to run as a Jupyter Notebook.
- We have also created a refactored version that emphasises the matrix nature of writing LP models using SciPy.
GitHub: Cement blending in SciPy.
Key features of this model:
- Description: Implements a blending problem for a fictitious oil refinery.
- Category: Blending.
- Type: LP.
- Library: PuLP.
- Solver: CBC.
Notes:
- The model implements an interesting method for displaying tables side by side to save vertical space (works best with a wide screen).
GitHub: Crude oil blending in PuLP.
