Publications (2020-2021)

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http://hdl.handle.net/1969.1/194912

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Browsing Publications (2020-2021) by Subject "Business logistics--United States"

Now showing 1 - 8 of 8
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    Actionable Information - Research Briefs - 1- Vaccination
    (Stochastic Geomechanics Laboratory, 2021-03-24) Zarate-Losoya, Enrique; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Duran Sierra, Guillermo; Alvarado, Juan Pablo; United States Department of Homeland Security (DHS)
    Five research problems to identify evidence sources and provide initial validation of the risk framework model and data lake have been identified. We focused on COVID-19 Vaccination in the United States and Mexico as the predominant mitigating action. In addition to reliable sources of information, we've identified preordered vaccine supply, its main supply chain elements, and the critical facilities involved in the manufacturing and distribution of millions of doses. In this document we present an initial assessment and findings for this mitigating action.
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    COVID-19 Vaccination Supply Chains
    (Stochastic Geomechanics Laboratory, 2021-05-21) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; United States Department of Homeland Security (DHS)
    The ongoing COVID-19 pandemic has severely disrupted supply chains in the United States; the objective of this poster is to provide relevant information to key stakeholders in academia, government, and the general public by providing evidence-based predictive models and risk analytics on the causes and effects posed by COVID-19, on the U.S. trade supply chain infrastructure. The identification and characterization of evidence depicting the dynamics of infrastructure interactions of U.S. domestic and international trade supply chains, from procurement, manufacturing, warehousing, to transportation processes, are expected to derive inferences from public sources of information, and databases following a common risk framework developed by our research group at Texas A&M University.
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    COVID-19 Vaccination Supply Chains Presentation Recording
    (Stochastic Geomechanics Laboratory, 2021-05-21) Zarate-Losoya, Enrique; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Olivares, Miriam; Perez-Patron, Maria Jose; Alvarado, Juan Pablo; United States Department of Homeland Security (DHS)
    The ongoing COVID-19 pandemic has severely disrupted supply chains in the United States; the objective of this poster is to provide relevant information to key stakeholders in academia, government, and the general public by providing evidence-based predictive models and risk analytics on the causes and effects posed by COVID-19, on the U.S. trade supply chain infrastructure. The identification and characterization of evidence depicting the dynamics of infrastructure interactions of U.S. domestic and international trade supply chains, from procurement, manufacturing, warehousing, to transportation processes, are expected to derive inferences from public sources of information, and databases following a common risk framework developed by our research group at Texas A&M University.
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    Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats
    (Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    COVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security.
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    Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats - Presentation Recording
    (Stochastic Geomechanics Laboratory, 2021-05-21) Alvarado, Juan Pablo; Duran Sierra, Guillermo; Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Zarate-Losoya, Enrique; Allen, Alexi; Guzman, Audrey; Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    COVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security.
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    Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure - Presentation video
    (Stochastic Geomechanics Laboratory, 2021-04-29) Lopez-Acosta, Araceli; United States Department of Homeland Security (DHS)
    Video created for the R7 project: Project: Model Development for Risks posed by COVID-19 on U.S. Trade supply chains Infrastructure. The video presents the main objectives of the project, as well, as the Risk Assessment Framework, and methods to fulfill them
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    R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. Annual Report - Year 1
    (Stochastic Geomechanics Laboratory, 2021-07-15) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Duran Sierra, Guillermo; United States Department of Homeland Security (DHS)
    Annual report of R7 project: R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The report lists and details on the activities conducted from June 2020 to June 2021. The milestones of the project are: 1. To generate a risk-guided platform to provide access to datasets, predictive models and experts opinions, to produce evidence-based support on the causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure. 2. To formulate a comprehensive risk assessment model, 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. 3. 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.
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    R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. Semi-annual Report - Year 1
    (Stochastic Geomechanics Laboratory, 2020-11-24) Medina-Cetina, Zenon; Pompelli, Gregory; Cochran, Matt; Alvarado, Juan Pablo; Duran Sierra, Guillermo; United States Department of Homeland Security (DHS)
    Semi annual report of R7 project: R7 - Model Development for Risks posed by COVID-19 on U.S. Trade Supply Chain Infrastructure. The report lists and details on the activities conducted from June 2020 to November 2020.