Modeling and Analysis in Support of Organizational Decisions During the COVID-19 Pandemic


  • Paul Evangelista United States Military Academy
  • Nicholas Clark
  • Matthew Dabkowski
  • Ian Kloo



Visual Analytics, Monte Carlo Simulation, COVID-19


The 2019 coronavirus disease (COVID-19) disrupted economic and social systems on an unprecedented scale. Organizational leaders faced unstructured problems that required novel analysis and evidenced-based decision-making approaches. This paper explains several analytical tools and problem-solving methodologies used at the United States Military Academy at West Point to support decision-making related to operational activities and future planning. While many of the tools apply basic analytical methods, the novelty of this paper lies in the unique application of the tools, visual presentation of data analytics, and the explanation of the contextual circumstances that prompted the development of these tools.

Author Biography

Paul Evangelista, United States Military Academy

Director, Engineering Management Program

Department of Systems Engineering,

United States Military Academy

Mahan Hall, Bldg 752, Room 420

West Point, NY 10996, USA


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How to Cite

Evangelista, P., Clark, N., Dabkowski, M., & Kloo, I. (2021). Modeling and Analysis in Support of Organizational Decisions During the COVID-19 Pandemic. Industrial and Systems Engineering Review, 9(1), 2-14.

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