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Vaccine allocation and distribution: a review with a focus on quantitative methodologies and application to equity, hesitancy, and COVID-19 pandemic
E Blasioli, B Mansouri, SS Tamvada… - Operations research forum, 2023 - Springer
This review focuses on vaccine distribution and allocation in the context of the current
COVID-19 pandemic. The implications discussed are in the areas of equity in vaccine …
COVID-19 pandemic. The implications discussed are in the areas of equity in vaccine …
Designing a new location-allocation and routing model with simultaneous pick-up and delivery in a closed-loop supply chain network under uncertainty
Background: In this paper, a new closed-loop supply chain (CLSC) network model, including
economic, social and environmental goals, is designed. This paper's primary purpose is to …
economic, social and environmental goals, is designed. This paper's primary purpose is to …
COVID-19: Data-driven optimal allocation of ventilator supply under uncertainty and risk
X Yin, İE Büyüktahtakın, BP Patel - European journal of operational …, 2023 - Elsevier
This study presents a new risk-averse multi-stage stochastic epidemics-ventilator-logistics
compartmental model to address the resource allocation challenges of mitigating COVID-19 …
compartmental model to address the resource allocation challenges of mitigating COVID-19 …
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization
S Bushaj, X Yin, A Beqiri, D Andrews… - Annals of Operations …, 2023 - Springer
In this paper, we address the controversies of epidemic control planning by develo** a
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …
A stochastic programming model for emergency supplies pre-positioning, transshipment and procurement in a regional healthcare coalition
A regional healthcare coalition enables its member hospitals to conduct an integrated
emergency supply management, which is seldom addressed in the existing literature. In this …
emergency supply management, which is seldom addressed in the existing literature. In this …
Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation
We derive a nested risk measure for a maximization problem and implement it in a scenario-
based formulation of a multi-stage stochastic mixed-integer programming problem. We apply …
based formulation of a multi-stage stochastic mixed-integer programming problem. We apply …
Scenario-dominance to multi-stage stochastic lot-sizing and knapsack problems
İE Büyüktahtakın - Computers & Operations Research, 2023 - Elsevier
This paper presents strong scenario dominance cuts for effectively solving the multi-stage
stochastic mixed-integer programs (M-SMIPs), specifically focusing on the two most well …
stochastic mixed-integer programs (M-SMIPs), specifically focusing on the two most well …
Designing a resilient medical laboratory service network under disruption and uncertainty: a case study
Health service networks play a key role in ensuring the health of society. Disruptive and
operational risks are constantly affecting the goals of healthcare supply chain and service …
operational risks are constantly affecting the goals of healthcare supply chain and service …
Fair and effective vaccine allocation during a pandemic
This paper presents a novel model for the Vaccine Allocation Problem (VAP), which aims to
allocate the available vaccines to population locations over multiple periods during a …
allocate the available vaccines to population locations over multiple periods during a …
Designing an optimal sequence of non‐pharmaceutical interventions for controlling COVID-19
The COVID-19 pandemic has had an unprecedented impact on global health and the
economy since its inception in December, 2019 in Wuhan, China. Non-pharmaceutical …
economy since its inception in December, 2019 in Wuhan, China. Non-pharmaceutical …