R7 - Internal Report on Bayesian Risk Assessment & Management Model Development V0.0
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Date
21-Feb
Journal Title
Journal ISSN
Volume Title
Publisher
Stochastic Geomechanics Laboratory
Abstract
Internal report on the development steps for a Risk Assessment and Management model using Bayesian Networks. The objectives of the model include: mapping qualitatively participating processes needed to simulate prognosis and diagnosis scenarios of social, economic and environmental impacts posed by COVID19 on the U.S. trade supply chain infrastructure. To address the public health impacts of the COVID-19 pandemic on the U.S.- Mexico health supply chain systems for health infrastructure and for the health of the workforce, considering current and emerging regional social, economic and environmental Risks. To generate risk-mitigating strategies based on resiliency and sustainability supported by evidence collection and the associate risk assessment model, to address causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure, U.S.- Mexico health supply chain systems for health infrastructure, and for health of the workforce between U.S. - Mexico.
Description
Keywords
Supply Chain Network, Model documentation report, Bayesian Networks
Citation
Medina-Cetina, Z., Pompelli, G., Cochran, M., Alvarado, J., Duran, G., Zarate-Losoya, E. & Allen, A. (2021, February). R7- Internal Report on Risk Assessment & Management Model Development V0.0. https://doi.org/10.21423/sgl.cbts-202102