Decision Sciences for COVID-19: Learning Through Case Studies

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem.

The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

Said Ali Hassan is a full professor at the Department of Operations Research and Decision Support, Faculty of Computers and Artificial Intelligence, Cairo University (Egypt). He has published plenty of research papers in respected journals and at conferences and serves as a reviewer for many international journals. His research interests lie broadly in Operations Research, Optimization, Decision sciences, Forecasting, Management science, Strategic management, and modelling-solving of real-life applications.

Ali Wagdy Mohamed is an associate professor at the Department Operations Research, Cairo University (Egypt), and an associate professor of statistics at the Wireless Intelligent Networks Center (WINC), Nile University (Egypt). His research focuses on mathematical and statistical modeling, stochastic and deterministic optimization, swarm intelligence, and evolutionary computation.

Khalid Abdulaziz Alnowibet is an associate professor at the Department of Operations Research, King Saud University (Saudi Arabia). He has published several papers in multiple research areas related to operations research, including stochastic modeling, queueing theory and applications, stochastic processes theory and applications, and modeling communication networks.