Data-driven optimization in management

摘要

This featured cluster includes a selected set of articles submitted to CMS following a research cooperation focused on optimization and computational methods in management between the School of Industrial and Systems Engineering (ISyE) at the Georgia Institute of Technology and the Department of Management, Economics and Quantitative Methods at the University of Bergamo. As Guest Editors of CMS, when proposing this cluster, we aimed at collecting contributions that address the use of data to pose and solve management optimization problems common in operational contexts. The area of data-driven optimization continues to attract interest not only in finance but in several other subject areas, such as energy, transportation, supply chain management, and logistics.