i-SHIPMENT: A digital platform for the design of patient-centric supply chains

Niki Triantafyllou, Andrea Bernardi, Matthew Lakelin, Nilay Shah, & Maria M. Papathanasiou

This is the official implementation of our Scientific Reports 2022 paper.

Model

In this repository, you can find the python code for the i-SHIPMENT model (model_CART_iSHIPMENT.py). The i-SHIPMENT model is a flow-based facility location - patient allocation MILP model for the optimization of personalised CAR T-cell therapy manufacturing and distribution.

Dataset

In this repository, you can find the MIP instances for randomized demand scenarios of increasing size (from 200 to 3000 patients per year).

Citation

If you use this work, please cite:

@article{triantafyllou2022supplychain,
  author={Triantafyllou, Niki and Bernardi, Andrea and Lakelin, Matthew and Shah, Nilay and Papathanasiou, Maria M.},
  title={A digital platform for the design of patient-centric supply chains},
  journal={Scientific Reports},
  volume={12},
  pages={17365},
  year={2022},
  publisher={Springer Nature},
  doi={10.1038/s41598-022-21290-5}
}

License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0).
🚫 Commercial use is strictly prohibited.
See the LICENSE file for details.