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

Mehrotra, Sanjay; Rahimian, Hamed; Barah, Masoud; Luo, Fengqiao; Schantz, Karolina

doi:10.1002/nav.21905

Cited by 151 publications

(94 citation statements)

References 19 publications

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“…A conceptual model on spread of COVID-19 at the Wuhan City of China formulated by considering three scenarios based on individual reactions and government's actions such as travel restriction, hospitalisation, and self-quarantine (Lin et al 2020). Mehrotra et al (2020) presented a multi-period stochastic programming model for allocating the inventory of ventilator in the COVID-19 pandemic for the U.S.A. by generating four different types of demand scenarios. A mixed-integer programming (MIP) model has been proposed for controlling the Ebola Virus diseases in West Africa by considering the logistics issues over a multi-period planning horizon to minimise infections and fatalities within the constrained budget (Büyüktahtakın, des-Bordes, and Kıbış 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Singh

Kumar

Panchal

et al. 2020

International Journal of Production Research

654

472

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An outbreak of deadly COVID-19 virus has not only taken the lives of people but also severely crippled the economy. Due to strict lockdown, the manufacturing and logistics activities have been suspended, and it has affected the demand and supply of various products as a result of restrictions imposed on shopkeepers and retailers. Impacts of COVID-19 are observed ubiquitously in every type of units from different sectors. In this study, a simulation model of the public distribution system (PDS) network is developed with three different scenarios to demonstrate disruptions in the food supply chain. Difficulties have been increased in matching supply and demand in a vast network of PDS because of changing scenarios with the growth of infected cases and recovery. This paper also highlights the importance of a resilient supply chain during a pandemic. Our proposed simulation model can help in developing a resilient and responsive food supply chain to match the varying demand, and then further assist in providing decision-making support for rerouting the vehicles as per travel restrictions in areas. Paper has been summarised with significant highlights and including future research scope for developing a more robust food supply chain network.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Singh

Kumar

Panchal

et al. 2020

International Journal of Production Research

654

472

View full text Add to dashboard Cite

show abstract

“…Sun et al [33] presented a dual objective emergency logistic scheduling model including transportation time and costs that considered uncertain traffic and actual road conditions. Mehrotra et al [34] designed a stochastic optimization model for allocating and sharing key resources during a pandemic. We examined the distribution of ventilator inventory by the Federal Emergency Management Administration in different states in the United States during the COVID-19 pandemic using this model.…”

Section: A Research On Decision-making Methods For Disaster Emergencmentioning

confidence: 99%

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

Fang

Hou

Pan³

et al. 2020

IEEE Access

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Creating an effective and efficient distribution plan is a considerable challenge owing to urgency, incomplete information, and surging demands. In this study, a planning method based on a sliding time window series is designed to solve the problem of drug distribution in earthquake responses. First, this study presents a method designed to generate a series of sliding time windows considering time-varying demands. Second, a method is proposed to determine the effectiveness of the drug distribution plan according to its evaluation standards. Third, a dynamic planning model is established considering the sliding time window series and group information updates. Fourth, a simulation study is conducted to test the models and algorithms. Simulation results show that specific drug distribution plans should be provided to emergency planners in the event of an earthquake. The sliding time window series and group information updates are key factors in creating an effective drug distribution plan as part of an earthquake response.

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“…Because of the variable risk of COVID-19 mortality associated with age and comorbid conditions, approaches to data sharing and interoperability have become essential. [36][37][38] Population-based models such as those described by Morden et al highlight mortality differences across US regions (based on comorbidities and age) in a manner able to inform policy decisions at a refined level. 39 When used in combination with information/resource platforms (such as those developed by MITRE) these models can facilitate better preparations for disease outbreaks.…”

Section: Promoting Teamwork and Camaraderiementioning

confidence: 99%

The Essential Role of Technology in the Public Health Battle Against COVID-19

Uohara

Weinstein

Rhew

2020

Population Health Management

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Technology has played an important role in responding to the novel coronavirus (SARS-CoV-2) and subsequent COVID-19 pandemic. The virus's blend of lethality and transmissibility have challenged officials and exposed critical limitations of the traditional public health apparatus. However, throughout this pandemic, technology has answered the call for a new form of public health that illustrates opportunities for enhanced agility, scale, and responsiveness. The authors share the Microsoft perspective and illustrate how technology has helped transform the public health landscape with new and refined capabilities-the efficacy and impact of which will be determined by history. Technologies like chatbot and virtualized patient care offer a mechanism to triage and distribute care at scale. Artificial intelligence and high-performance computing have accelerated research into understanding the virus and developing targeted therapeutics to treat infection and prevent transmission. New mobile contact tracing protocols that preserve patient privacy and civil liberties were developed in response to public concerns, creating new opportunities for privacy-sensitive technologies that aid efforts to prevent and control outbreaks. While much progress is still needed, the COVID-19 pandemic has highlighted technology's importance to public health security and pandemic preparedness. Future multistakeholder collaborations, including those with technology organizations, are needed to facilitate progress in overcoming the current pandemic, setting the stage for improved pandemic preparedness in the future. As lessons are assessed from the current pandemic, public officials should consider technology's role and continue to seek opportunities to supplement and improve on traditional approaches.

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

Cited by 151 publications

References 19 publications

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Impact of COVID-19 on logistics systems and disruptions in food supply chain

Dynamic Planning Method for Drug Distribution in Earthquake Response Based on Sliding Time Window Series

The Essential Role of Technology in the Public Health Battle Against COVID-19

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