Formal Methods in Manufacturing

The book gives an overview of the most important solutions to a series of problems that usually occur in manufacturing systems, focusing on those solutions that are based on a formal model of the system. The main problems considered are modeling and simulation, supervisory control (including deadlock prevention), performance evaluation (including scheduling and optimization), fault diagnosis, and reconfiguration. The book also presents formal methods in detail for specific problems in the above framework. All are illustrated with examples from manufacturing. The book assumes some knowledge of systems theory and discrete event systems theory but provides introductory material on each formalism (Petri nets, automata, and max-plus algebra), making the book suitable also for readers who are not experts on formalisms.

Javier Campos, Ph.D is professor of computer science at the University of Zaragoza, Spain. He has supervised the completion of 100 master theses and three Ph.D theses. He has also been co-chair of the IEEE IES Technical Sub-Committee on Industrial Automated Systems and Controls and associate editor of IEEE Transactions on Industrial Informatics. His research interests include modeling and performance evaluation of distributed and concurrent systems, Petri nets, software performance engineering, and performance modeling of manufacturing and telecommunication systems. He has co-authored over 90 papers published in refereed journals and conferences across the world.

Carla Seatzu, Ph.D is associate professor of automatic control at the University of Cagliari, Italy. Her research interests include discrete-event systems, hybrid systems, Petri nets, and manufacturing and networked control systems. She has published over 150 papers and one textbook on these topics. She has also served as general co-chair of the 18th IEEE International Conference on Emerging Technology and Factory Automation, and is currently associate editor of IEEE Transactions on Automatic Control and Nonlinear Analysis: Hybrid, the Conference Editorial Board of the IEEE Control System Society, and the IEEE Robotics and Automation Society.

Xiaolan Xie, Ph.D is professor of industrial engineering, the head of the Department of Healthcare Engineering, and the head of the IEOR team of CNRS UMR 6158 LIMOS for Ecole Nationale Superieure des Mines, Saint Etienne, France. He is also chair professor and director of the Center for Healthcare Engineering at the Shanghai Jiao Tong University, People’s Republic of China. His recent work has focused on design, operations management, and performance evaluation of healthcare and manufacturing systems and their supply chains. He has authored/coauthored over 250 publications, including more than 90 journal articles and five books.