Simulation Environment for Optimal Resource Planning During COVID-19 Crisis

Recent COVID-19 outbreak has affected both human resources and economy around the world dramatically leading towards pandemic and serious global crisis. In this paper, a simulation environment leveraging the synergy of deep learning-based predictions and linear optimization for efficient resource planning is presented. The proposed solution shows satisfiable prediction performance and enables efficient resource exchange by reducing the trading costs.