Managing Uncertainty in Pharmaceutical Supply Chains: A Structured Review Blossey, Gregor Hahn, Gerd J. Koberstein, Achim 2020-12-24T19:16:23Z 2020-12-24T19:16:23Z 2021-01-05
dc.description.abstract In past decades, pharmaceutical supply chains (PSC) have become increasingly fragmented and complex making them more susceptible to supply chain (SC) risks. This has manifested in a growing number of drug shortages around the world which presents a great challenge to many national healthcare systems. PSC models provide crucial decision support and can facilitate efforts to avoid or manage such stockout situations more effectively. In this paper, we review the scientific literature on quantitative PSC models considering uncertainty in the context of drug shortages. We conduct a systematic search to obtain an overview of the current state of research in this field. The identified papers are analyzed with regards to pivotal modeling choices and their characterization of uncertainty. Our results show that many models make assumptions or abstractions which do not accurately reflect the current business environment of the pharmaceutical sector. Thus, we deduce future research avenues which might lead the way to more responsive and resilient PSCs.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.173
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Intelligent Decision Support for Logistics and Supply Chain Management
dc.subject drug shortages
dc.subject literature review
dc.subject modelling
dc.subject pharmaceutical supply chain
dc.subject uncertainty
dc.title Managing Uncertainty in Pharmaceutical Supply Chains: A Structured Review
prism.startingpage 1435
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