Combining field data analysis and simulation to evaluate an alternative Just-In-Time clinical trial supply strategy
View / Open Files
Authors
Settanni, E
Srai, Jagjit Singh
Kothapalli, V Mark
Conference Name
22nd Cambridge International Manufacturing Symposium
Type
Conference Object
This Version
VoR
Metadata
Show full item recordCitation
Settanni, E., Srai, J. S., & Kothapalli, V. M. Combining field data analysis and simulation to evaluate an alternative Just-In-Time clinical trial supply strategy. 22nd Cambridge International Manufacturing Symposium. https://doi.org/10.17863/CAM.33388
Abstract
This paper combines recurrence analysis of field data from clinical trial supply chain (CTSC) with a proof-of-concept inventory profile simulation to evaluate an alternative packing capability that supports just-in-time (JIT) manufacturing and distribution of investigational medicinal products (IMP). Assumptions for JIT packing supply capabilities and expedite quality release were taken from a detailed design prototype recently commissioned by a leading pharmaceutical consortium. The suggested technological intervention is assessed in its ability to reduce finished good inventory while adequately responding to the dynamics of uncertain patient recruitment and required service levels. The proposed combination of field data analysis and simulation enables practitioners to consider the possibilities for a more economically viable adaptive clinical trial supply based on JIT technologies and near real-time product utilisation information across multiple locations.
Sponsorship
Birmingham City Council (35708-233529)
Identifiers
External DOI: https://doi.org/10.17863/CAM.33388
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286069
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk