RAPID: Variation in Resilience Under Shortages in the Medical Supply Chain
RAPID: Variation in Resilience Under Shortages in the Medical Supply Chain
批准号:
2027927
负责人:
Cassandra Thiel
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-04-01 至 2021-12-31
中文摘要
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英文摘要
The research objectives of this proposal are to measure the effects of Covid-19 on the medical Personal Protective Equipment (PPE) supply chain, analyze emerging hospital resource conservation policies, and identify short-term and long-term solutions to increase resilience in the medical supply chain. The research team will focus specifically on the effects of Covid-19 as a stressor to healthcare end-users of PPE (i.e., hospitals and medical clinics). The team will focus on the uncertainty of supply and demand and seeks to identify the best policies to reduce the impact for these end-users while ensuring quality of care and protection of medical staff. The primary aim of this study is to collect data and use optimization and analytical methods to assist medical providers during the Covid-19 crisis while also considering the longer-term potential of mitigating environmental impact and increasing resilience in healthcare supply chains. The approach of the study is two-fold: (1) data collection on PPE usage and supply chains, and (2) development of novel robust optimization models. A contribution of this study is to be collection of data on the physical PPE supply chain, hospitals' historic and current (emergency) use of PPE, and emerging PPE conservation policies and practices enacted by hospitals during the Covid-19 pandemic. To gather additional data, the research team has developed a novel crowd sourcing data collection platform that can later be adapted for other healthcare data collection as well. An additional feature parallel of this work lies in the development of mathematical scenario-based and robust optimization models for PPE supply chain and resource allocation. The research team will develop linear and robust optimization models to allocate the scarce resources given large uncertainty in demand and supply. These resource-allocation models will use the collected data. The team will also develop scenario-base models to test and validate the different hospital policies for the use of PPE during Covid-19 outbreak. The intended immediate impact of this research is to inform healthcare workers about effective policies for PPE conservation that lead to optimal health outcomes for patients and staff during the Covid-19 pandemic. The findings and the data collected as a result of this work will be made available to the medical community as soon as possible to help manage the need for PPE. Specifically, PPE conservation policies will be compiled, and a paper immediately released to the medical community to broadly help conserve resources during the Covid-19 pandemic. In the longer term, the strategies developed to effectively mitigate resource consumption and climate impacts of healthcare activities will be shared with the medical and the wider academic communities. The results of this study target increased resilience of medical supply chain and healthcare operations during times of crisis, including future pandemics and climate related disasters, as well as a general increase in emissions mitigation by continuing reasonable resource conservation practices beyond the pandemic.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Sustainable Healthcare Workshop
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批准号:1818038
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项目类别:Standard Grant
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资助金额:$4.99万
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财政年份:2018
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负责人:Cassandra Thiel
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依托单位:
国内基金
海外基金
高等植物远缘杂交诱导的表观遗传变异(epigenetic variation)现象及其在物种进化和新种形成中的作用
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批准号:30430060
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项目类别:重点项目
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资助金额:140.0万元
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批准年份:2004
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负责人:刘宝
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依托单位: