Open AccessDesign of a University Pandemic Response Decision Support System
Author(s) -
Demosthenes Kaloudelis,
Ahmed Jatto Abdulwahab,
Ayman Fatima,
Zaid Yasin
Publication year - 2022
Publication title -
industrial and systems engineering review
Language(s) - English
Resource type - Journals
ISSN - 2329-0188
DOI - 10.37266/iser.2021v9i2.pp117-133
Subject(s) - pandemic , control (management) , covid-19 , function (biology) , decision support system , quality (philosophy) , higher education , computer science , medical education , outcome (game theory) , engineering management , process management , knowledge management , risk analysis (engineering) , public relations , operations research , business , engineering , political science , disease , medicine , artificial intelligence , infectious disease (medical specialty) , economics , philosophy , epistemology , pathology , evolutionary biology , law , biology , mathematical economics
The global effort to combat the COVID-19 pandemic has changed how people conduct their daily lives. Institutions of higher education have been greatly impacted by these changes and must find ways to adapt to this new environment. Universities are a unique case because they must control disease spread, while maintaining the same or similar quality of education. The University Pandemic Response Decision Support System (UPRDSS) is a system designed to help universities pick the most suitable method for instruction delivery when faced with any pandemic. Using George Mason University as a case study, the goal was to design a system that allows university administrations to make an educated operations decision. The UPRDSS achieves this by simulating the spread of disease, analyzing learning outcome data, and using a multi-attribute utility function to determine the most appropriate method of instruction that enables positive learning and health outcomes.