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Evaluation of Critical Infrastructure Essential Businesses Amidst Covid -19 Using Network Optimization Models

Author

Listed:
  • Richard Job Madapat Job

    (Martin Brower, United States of America)

  • Quintin Williams Jr.

    (Department of Industrial Engineering, University of Illinois at Chicago, Illinois, United States of America)

  • Michael Cailas

    (Department of Environmental & Occupational Health Sciences, University of Illinois at Chicago, Illinois, United States of America)

  • Matthew Liotine

    (Department of Information & Decision Sciences, University of Illinois at Chicago, Illinois, United States of America)

  • Jim Novotny

    (Department of Information & Decision Sciences, University of Illinois at Chicago, Illinois, United States of America)

Abstract

This study evaluates the use of network optimization models in an essential infrastructure business during a pandemic. As per the Cyber Infrastructure Security Agency (CISA), there are 16 critical infrastructure sectors whose assets, systems, and networks, whether physical or virtual, are considered vital to the United States. Their incapacitation or destruction would have a debilitating effect on the security, national economic security, national public health or safety, or any combination thereof. For this study, we primarily focus on the Healthcare and Public Health Sector (HPH). This branch is considered a core sector as it protects the economy from threats such as terrorism, infectious disease outbreaks, and natural disasters. This evaluation provides insights into the network optimization models used by a pharmaceutical company in administrating vaccinations to its local community during the COVID-19 pandemic. The intended result of the study is to provide an optimized delivery strategy by understanding the pros and cons of the network model that is being used currently and suggest a better strategical network model if available to administrate the vaccination program safely and efficiently throughout the United States.

Suggested Citation

  • Richard Job Madapat Job & Quintin Williams Jr. & Michael Cailas & Matthew Liotine & Jim Novotny, 2021. "Evaluation of Critical Infrastructure Essential Businesses Amidst Covid -19 Using Network Optimization Models," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 12(5), pages 289-307, October.
  • Handle: RePEc:aml:intbrm:v:12:y:2021:i:5:p:289-307
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    References listed on IDEAS

    as
    1. Guiyang Zhu & Mabel C. Chou & Christina W. Tsai, 2020. "Lessons Learned from the COVID-19 Pandemic Exposing the Shortcomings of Current Supply Chain Operations: A Long-Term Prescriptive Offering," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    2. Liu, Songsong & Papageorgiou, Lazaros G., 2013. "Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry," Omega, Elsevier, vol. 41(2), pages 369-382.
    3. Jason Amaral & Dorothea Kuettner, 2008. "Analyzing Supply Chains at HP Using Spreadsheet Models," Interfaces, INFORMS, vol. 38(4), pages 228-240, August.
    4. Ewen Callaway, 2020. "The race for coronavirus vaccines: a graphical guide," Nature, Nature, vol. 580(7805), pages 576-577, April.
    5. Gerald Brown & Joseph Keegan & Brian Vigus & Kevin Wood, 2001. "The Kellogg Company Optimizes Production, Inventory, and Distribution," Interfaces, INFORMS, vol. 31(6), pages 1-15, December.
    6. Loren Troyer & James Smith & Sean Marshall & Elan Yaniv & Sridhar Tayur & Martin Barkman & Alev Kaya & Yong Liu, 2005. "Improving Asset Management and Order Fulfillment at Deere & Company's C&CE Division," Interfaces, INFORMS, vol. 35(1), pages 76-87, February.
    7. Arnstein Aassve & Guido Alfani & Francesco Gandolfi & Marco Le Moglie, 2021. "Epidemics and trust: The case of the Spanish Flu," Health Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 840-857, April.
    8. Gerald Brown & Matthew Carlyle & Javier Salmerón & Kevin Wood, 2006. "Defending Critical Infrastructure," Interfaces, INFORMS, vol. 36(6), pages 530-544, December.
    9. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    10. Pan, Feng & Nagi, Rakesh, 2013. "Multi-echelon supply chain network design in agile manufacturing," Omega, Elsevier, vol. 41(6), pages 969-983.
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    More about this item

    Keywords

    Critical Infrastructure Business; COVID-19; Network Optimization Models; Pharmaceutical Industries; Supply Chain.;
    All these keywords.

    JEL classification:

    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General

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