facility-location#

AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem#

AMPL Development Tutorial 2/6 – Stochastic Capacitated Facility Location Problem#

AMPL Development Tutorial 3/6 – Benders Decomposition via AMPL scripting#

3_benders_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this third installment of our six-part series, we continue our exploration by addressing the complexities introduced by the stochastic programming formulation presented in part two.

AMPL Development Tutorial 4/6 – Benders Decomposition via PYTHON scripting#

4_benders_in_python_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In this fourth installment of our six-part series, we advance our exploration by demonstrating how to adapt our AMPL script for use with AMPL’s Python API.

AMPL Development Tutorial 5/6 – Parallelizing Subproblem Solves in Benders Decomposition#

5_benders_parallel_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: In the fifth installment of our six-part series, we delve deeper by showing how to evolve our Benders decomposition Python script from a serial execution to one that solves subproblems in parallel.

AMPL Development Tutorial 6/6 – Implementing Benders Decomposition with ampls#

6_benders_ampls_stoch_floc.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This concluding notebook in our six-part series delves into enhancing the efficiency of our decomposition algorithm by utilizing AMPL Solver Libraries (ampls).

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.

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.