

README - GENERAL INFORMATION

Title of Project: CompoundingPharma – Dynamic production sequencing to minimize patient delays for compounded medications 

Grant Agreement: Horizon Europe MSCA Postdoctoral Fellowship No. 101150714 
Repository Version: Final Project Update 2026-02-19

Project acronym: CompoundingPharma 

MSCA Postdoctoral Fellow: Kraig Delana <ORCID: 0000-0002-0485-9950>

Principal Investigator: Kraig Delana <ORCID: 0000-0002-0485-9950>
Institution: IE Business School 
Email: kraig.delana@ie.edu

Co-investigator: Christopher Chen
Institution: Kelley School of Business, Indiana University 
Email: cch3@iu.edu

Co-investigator: Xiaoshan Peng
Institution: Kelley School of Business, Indiana University 
Email: xp1@iu.edu


OVERVIEW

This replication package contains both a masked research dataset and accompanying simulation code used to generate the results and figures in the associated paper.  Specifically, it provides one processed dataset with masked medication orders and four Python files, and all are openly accessible  without embargo under a Creative Commons Attribution 4.0 (CC BY 4.0) license. 

FILE OVERVIEW/STRUCTURE

The structure of this replication package is depicted below.  The main folder contains this README and 4 sub-folders.  One sub-folder for the data containing the data file and accompanying README, and three additional subfolders for each set of numerical experiments (simulations), each containing the associated python code for the simulation, READMES, and outputs (pre-populated for convenience). 

Replication_Files/

├── README_overview.txt
│
├── data/
│   │
│   ├── manuscript_replication_masked_orders.csv
│   └── README_Data.txt
│
├── datadriven/
│   │
│   ├── output/
│   ├── Manuscript_DataDriven_Simulation_v0005.py
│   └── README_datadriven.txt
│
├── fluid/
│   │
│   ├── output/
│   ├── Manuscript_Fluid_Simulation_v0006.py
│   ├── Manuscript_Fluid_Simulation_Visuals_v0001.py
│   └── README_fluid.txt
│
└── stochastic/
    │
    ├── output/
    ├── Manuscript_Stochastic_Simulation_v0006.py
    └── README_stochastic.txt



SHARING/ACCESS INFORMATION
- Dataset & code license: CC BY 4.0
- Metadata license: CC0
- Access: Open, no registration required
- Repository: IE University Institutional Repository
- Persistent identifier: <DOI assigned by the repository>








