A model of <scp>supply‐chain</scp> decisions for resource sharing with an application to ventilator allocation to combat <scp>COVID</scp>‐19

DOI10.1002/nav.21905zbMath1523.90240arXiv2004.01318MaRDI QIDQ6072142

Unnamed Author, Sanjay Mehrotra, Hamed Rahimian, Unnamed Author, Fengqiao Luo

Publication date: 12 October 2023

Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.01318

zbMATH Keywords

stochastic programming mixed integer programming emergency management resource sharing COVID-19 ventilator allocation

Mathematics Subject Classification ID

Stochastic programming (90C15) Management decision making, including multiple objectives (90B50) Inventory, storage, reservoirs (90B05) Medical applications (general) (92C50) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)

Related Items (11)

Designing an optimal sequence of non-pharmaceutical interventions for controlling COVID-19 ⋮ Resource planning strategies for healthcare systems during a pandemic ⋮ Design of control strategies to help prevent the spread of COVID-19 pandemic ⋮ COVID-19: data-driven optimal allocation of ventilator supply under uncertainty and risk ⋮ Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: a case study ⋮ Optimal replenishment and transshipment management with two locations ⋮ Mathematical optimization models for reallocating and sharing health equipment in pandemic situations ⋮ Mitigating the COVID‐19 pandemic through data‐driven resource sharing ⋮ PPE supply optimization under risks of disruption from the COVID-19 pandemic ⋮ A data-driven optimization model to response to COVID-19 pandemic: a case study ⋮ Resource distribution under spatiotemporal uncertainty of disease spread: stochastic versus robust approaches

Cites Work

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