The benefits (or detriments) of adapting to demand disruptions in a hospital pharmacy with supply chain disruptions.

Autor: Czerniak LL; Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA. czernL@umich.edu., Lavieri MS; Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA., Daskin MS; Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA., Byon E; Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave, Ann Arbor, MI, 48109, USA., Renius K; Michigan Medicine; Department of Pharmacy Services, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA., Sweet BV; College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48109, USA., Leja J; Michigan Medicine; Department of Pharmacy Services, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA., Tupps MA; Michigan Medicine; Department of Pharmacy Services, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, USA.
Jazyk: angličtina
Zdroj: Health care management science [Health Care Manag Sci] 2024 Dec; Vol. 27 (4), pp. 525-554. Date of Electronic Publication: 2024 Sep 24.
DOI: 10.1007/s10729-024-09686-3
Abstrakt: Supply chain disruptions and demand disruptions make it challenging for hospital pharmacy managers to determine how much inventory to have on-hand. Having insufficient inventory leads to drug shortages, while having excess inventory leads to drug waste. To mitigate drug shortages and waste, hospital pharmacy managers can implement inventory policies that account for supply chain disruptions and adapt these inventory policies over time to respond to demand disruptions. Demand disruptions were prevalent during the Covid-19 pandemic. However, it remains unclear how a drug's shortage-waste weighting (i.e., concern for shortages versus concern for waste) as well as the duration of and time between supply chain disruptions influence the benefits (or detriments) of adapting to demand disruptions. We develop an adaptive inventory system (i.e., inventory policies change over time) and conduct an extensive numerical analysis using real-world demand data from the University of Michigan's Central Pharmacy to address this research question. For a fixed mean duration of and mean time between supply chain disruptions, we find a drug's shortage-waste weighting dictates the magnitude of the benefits (or detriments) of adaptive inventory policies. We create a ranking procedure that provides a way of discerning which drugs are of most concern and illustrates which policies to update given that a limited number of inventory policies can be updated. When applying our framework to over 300 drugs, we find a decision-maker needs to update a very small proportion of drugs (e.g., < 5 % ) at any point in time to get the greatest benefits of adaptive inventory policies.
Competing Interests: Declarations. Competing Interests: The authors do not have non-financial conflicts of interest to disclose. For financial conflicts of interest, the first author was supported by the National Science Foundation Research Fellowship Program under Grant DGE 1841052. Compliance with Ethical Standards: This study has been exempt from the requirement for approval by an institutional review board because the research does not include human participants. The demand data used in this research does not include patient information.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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