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 Principal Investigator: Kraig Delana 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 which can be found here: https://doi.org/10.63537/KD4321. 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: