A sustainable-resilience healthcare network for handling COVID-19 pandemic
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Publication:2673806
DOI10.1007/s10479-021-04238-2zbMath1491.90016OpenAlexW3204634108MaRDI QIDQ2673806
Peiman Ghasemi, Angappa Gunasekaren, Ata Allah Taleizadeh, Ajith Abraham, Fariba Goodarzian
Publication date: 13 June 2022
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-021-04238-2
Mixed integer programming (90C11) Linear programming (90C05) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (5)
Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic ⋮ A data-driven optimization model to response to COVID-19 pandemic: a case study ⋮ Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions ⋮ A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition ⋮ Resilient and social health service network design to reduce the effect of COVID-19 outbreak
Cites Work
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- Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
- Supply chain game theory network modeling under labor constraints: applications to the Covid-19 pandemic
- Ripple effect in the supply chain network: forward and backward disruption propagation, network health and firm vulnerability
- A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
- Chance-Constrained Programming
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