Maya-euproject.com Website Review

11-13, 2018 in the beautiful venue of the campus of University of Bergamo, a former monastery complex of Sant’Agostino, in the upper town of Bergamo, Italy. The Symposium was jointly organised by Politecnico di Milano and University of Bergamo, and sponsored by the Technical Committees of IFAC Coordinating Committee on Manufacturing and Logistics Systems (IFAC CC 5). The technical co-sponsors were four other IFAC TCs (TC 1.3, TC 4.2, TC 4.3, and TC 9.2), the IEEE Italy Section and its affiliated chapters, as well as IFIP, IFORS, AIDI Chaired by Prof. Sergio Cavalieri (University of Bergamo) and Prof. Marco Macchi (Politecnico di Milano), the Symposium could count on the scientific support of an International Program Committee composed by 106 members and chaired by Prof. László Monostori (MTA Sztaki Budapest) with 28 As*ociated Editors in charge of the peer review process. The technical program of INCOM 2018 was organized around the following main topics: Advanced manufacturing technologies and systems, Advanced reliability, maintenance and safety engineering and technologies, Enterprise modelling and information systems, Modelling and optimization for complex engineered systems, Simulation, control and monitoring of evolutionary and adaptive production systems, Robotics and autonomous systems, Operations management in production systems and logistics, Human and social factors in production systems, Lifecycle management and product-service systems (PSSs), Industry 4.0: strategies, models and technologies for next-generation production systems. During INCOM 2018, POLIMI organized a special session on ADVANCED SIMULATION FOR CPS-BASED PRODUCTION SYSTEMS, where two works related contributors were finally selected for presentation in regular, invited and special sessions – with a total of 403 participants at The concept and implementation of Cyber-Physical Systems (CPS) in industrial manufacturing is, by definition, a multi-disciplinary research challenge, where the digital extension of manufacturing as*ets, represented through the so-called digital twin, must be