CompoundingPharma – Dynamic production sequencing to minimize patient delays for compounded medications

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dc.contributor.authorDelana, Kraig
dc.contributor.authorChen, Christopher
dc.contributor.authorPeng, Xiaoshan
dc.contributor.authorDelana, Kraig
dc.contributor.sponsorHorizon europe
dc.coverage.spatialUnited Kingdom
dc.date.accessioned2026-05-11T10:23:07Z
dc.date.coveragestart=2020-04; end=2023-03
dc.date.created2024-07-22
dc.date.issued2026
dc.description.abstractOVERVIEW 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).
dc.description.tableofcontentsReplication_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
dc.formatapplication/zip
dc.format.extent34211
dc.identifier.citationDelana, K., Chen, C & Peng, X. (2026). CompoundingPharma – Dynamic production sequencing to minimize patient delays for compounded medications [Dataset].
dc.identifier.urihttps://hdl.handle.net/20.500.14417/4322
dc.language.isoen
dc.relation.departmentOperations and Business Analytics
dc.relation.ispartofA State-Dependent Riccati Equation Index Policy for Dynamic Production Sequencing in Compounding Pharmacies
dc.relation.projectID101150714
dc.relation.schoolIE Business School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordshealthcare operations
dc.subject.keywordsproduction sequencing
dc.subject.keywordsstochastic simulation
dc.subject.keywordspharmaceutical compounding
dc.subject.odsODS 3 - Salud y bienestar
dc.subject.unesco53 Ciencias Económicas::5311 Organización y dirección de empresas ::5311.09 Organización de la producción
dc.titleCompoundingPharma – Dynamic production sequencing to minimize patient delays for compounded medications
dc.typeinfo:eu-repo/semantics/dataset
dc.type.genreencoded data
dspace.entity.typePublication
relation.isAuthorOfPublication393aae92-ec7c-46e6-9a3e-169aa5dfe353
relation.isAuthorOfPublication.latestForDiscovery393aae92-ec7c-46e6-9a3e-169aa5dfe353

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