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Balancing patient demand and hospital resources: a newsvendor-based approach to bed and nurse optimization

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorXufre, Patrícia
dc.contributor.authorTrematerra, Marianna Vicente
dc.date.accessioned2025-08-18T08:00:12Z
dc.date.available2025-08-18T08:00:12Z
dc.date.issued2025-01-29
dc.date.submitted2024-12-17
dc.description.abstractUsing a two-period Newsvendor-based model, this study examines a data-driven strategy for optimizing nurse staffing and bed allocation in private hospitals. Leveraging a framework initially aimed at optimizing airline seat inventory, the model incorporates probabilistic demand estimation and overbooking strategies to balance patient demand with hospital resources. Despite limitations in assumptions, such as linear cost structures and parameter estimation, the analysis based on data from a cardiac unit in India reveals valuable insights for hospital management, demonstrating the model’s potential to improve revenue and minimize costs associated with over and understaffing.pt_PT
dc.identifier.tid203960505pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/186535
dc.language.isoengpt_PT
dc.subjectNewsvendor problempt_PT
dc.subjectCost optimizationpt_PT
dc.subjectNurse staffingpt_PT
dc.subjectData-drivenpt_PT
dc.subjectHospital managementpt_PT
dc.subjectPrivate healthcarept_PT
dc.titleBalancing patient demand and hospital resources: a newsvendor-based approach to bed and nurse optimizationpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economicspt_PT

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