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

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About: A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19
Creator	Barah, Masoud Luo, Fengqiao Mehrotra, Sanjay Rahimian, Hamed Schantz, Karolina
Source	PMC
abstract	We present a stochastic optimization model for allocating and sharing a critical resource in the case of a pandemic. The demand for different entities peaks at different times, and an initial inventory for a central agency are to be allocated. The entities (states) may share the critical resource with a different state under a risk‐averse condition. The model is applied to study the allocation of ventilator inventory in the COVID‐19 pandemic by FEMA to different U.S. states. Findings suggest that if less than 60% of the ventilator inventory is available for non‐COVID‐19 patients, FEMA's stockpile of 20 000 ventilators (as of March 23, 2020) would be nearly adequate to meet the projected needs in slightly above average demand scenarios. However, when more than 75% of the available ventilator inventory must be reserved for non‐COVID‐19 patients, various degrees of shortfall are expected. In a severe case, where the demand is concentrated in the top‐most quartile of the forecast confidence interval and states are not willing to share their stockpile of ventilators, the total shortfall over the planning horizon (until May 31, 2020) is about 232 000 ventilator days, with a peak shortfall of 17 200 ventilators on April 19, 2020. Results are also reported for a worst‐case where the demand is at the upper limit of the 95% confidence interval. An important finding of this study is that a central agency (FEMA) can act as a coordinator for sharing critical resources that are in short supply over time to add efficiency in the system. Moreover, through properly managing risk‐aversion of different entities (states) additional efficiency can be gained. An additional implication is that ramping up production early in the planning cycle allows to reduce shortfall significantly. An optimal timing of this production ramp‐up consideration can be based on a cost‐benefit analysis.
has issue date	2020-05-02(xsd:dateTime)
bibo:doi	10.1002/nav.21905
has license	no-cc
sha1sum (hex)	5d854dacd03f54ad827e248e4e82ca3cab312530
schema:url	https://doi.org/10.1002/nav.21905
resource representing a document's title	A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19
has PubMed Central identifier	PMC7267382
resource representing a document's body	covid:5d854dacd03f54ad827e248e4e82ca3cab312530#body_text
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