transportation

Supply chain network

Notebooks > Supply chain network
supply_chain_simple_routes.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Compute optimal routes to connect suppliers/demanding nodes in a network. Routes have an associated fixed and variable cost. There are different products to ship. The problem is formulated as a MIP with binary variables. Python data structures are used to load the data into the model.
Tags: mixed-integer-linear, supply_chain, network, transportation, graphs
Author: Marcos Dominguez Velad (23 notebooks) <marcos@ampl.com>

Warehouse location and transport

Notebooks > 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.
Tags: facility-location, highs, mip, mixed-integer-linear, supply_chain, network, transportation, graphs, networkx, transportation, mp
Author: Marcos Dominguez Velad (23 notebooks) <marcos@ampl.com>

Warehouse location and transport

Notebooks > 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.
Tags: facility-location, highs, mip, mixed-integer-linear, supply_chain, network, transportation, graphs, networkx, transportation, mp
Author: Marcos Dominguez Velad (23 notebooks) <marcos@ampl.com>

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