The Applied Stochastic Models in Business and Industry (ASMBI), the official journal of the International Society for Business and Industrial Statistics (ISBIS), has published a special issue titled “Digital Twins: A Revolution in Modeling and Simulation.”
This special issue, guest edited by Jean-Michel Poggi and Murat M. Testik, presents cutting-edge research on digital twins, virtual replicas of physical systems that are used to simulate, predict, and optimize real-world performance. Digital twin technology is increasingly being adopted across industries to enhance decision-making, improve efficiency, and support innovation in areas such as manufacturing, logistics, healthcare, and smart infrastructure.
The collection brings together contributions from experts exploring both the theoretical foundations and practical applications of digital twins, with a particular focus on stochastic modeling and simulation in business and industry.
The link to the Special Issue here.
