highs#

Employee Scheduling Optimization#

Employee_Scheduling.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Employee scheduling model from the Analytical Decision Modeling course at the Arizona State University.

Labs scheduling#

labs_scheduling.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Model for laboratories scheduling. Some labs are needed to handle requests from researchers, and departments have to assign labs and locations to the requests.

Magic sequences#

magic_sequences.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Solving magic sequences through reinforced formulations and constrained programming. Some comparison between models and solvers is done, and we look into the “Another solution” problem for these sequences.

Oil refinery production optimization#

oil_refining.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this document, we present an enhanced approach to oil refining optimization for improved decision-making.

Oil refinery production optimization (+PowerBI)#

oil_refining_powerbi.ipynb Open In Colab
Description: In this document, we present an enhanced approach to oil refining optimization by integrating Power BI for improved decision-making and data visualization. For a full description of the model, you can read more about it [here](ampl/colab.ampl.com).

Oil refinery production optimization (ampl-only version)#

oil_refining_ampl_only.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this document, we present an enhanced approach to oil refining optimization for improved decision-making.

Optimizing the number of staff in a chain of stores#

P-Median problem#

p_median.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: this notebook states the p-median problem with a simple example, and a MIP formulation in amplpy. The problem is parametrized with a class, so it is easier to sample and replicate experiments. A graphical solution is plotted.

Warehouse location and transport#

warehouse_location.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Model for warehouse allocation. Farms (suppliers) send feedstock to warehouses, and later on, those warehouses send it to a production plant. The problem involves modeling a storage facility location problem with a transportation component to the final plant.