"Illustrated with real-life manufacturing examples, Formal Methods in Manufacturing provides state-of-the-art solutions to common problems in manufacturing systems. Assuming some knowledge of discrete event systems theory, the book first delivers a detailed introduction to the most important formalisms used for the modeling, analysis, and control of manufacturing systems (including Petri nets, automata, and max-plus algebra), explaining the advantages of each formal method. It then employs the different formalisms to solve specific problems taken from today's industrial world, such as modeling and simulation, supervisory control (including deadlock prevention) in a distributed and/or decentralized environment, performance evaluation (including schedulingand optimization), fault diagnosis and diagnosability analysis, and reconfiguration.Containing chapters written by leading experts in their respective fields, Formal Methods in Manufacturing helps researchers and application engineers handle fundamental principles and deal with typical quality goals in the design and operation of manufacturing systems"--
Editors Campos, Seatzu, and Xie present this guide to the formal mathematics of manufacturing methodology. The book is divided into sections addressing modeling and simulation, supervisory control, performance evaluation, and fault diagnosis and reconfiguration. The section on modeling discusses Petri nets, dioids, and stochastic flow models, ending with a chapter addressing the generalized problem of freight transportation. The Petri net methodology continues to be used in each of the following sections. Part II emphasizes deadlock avoidance for automated and flexible systems and includes techniques using finite automata and Max-plus algebra. Part III presents techniques of state space analysis, timed process algebra, bounded true concurrency, and weighted event graphs, with applications to lean buffer design, cycle time estimation, semiconductor manufacturing, and health care delivery. Finally, fault diagnosis is addressed through finite state automata and Petri nets, with one example problem in online control reconfiguration. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
Illustrated with real-life manufacturing examples, Formal Methods in Manufacturing provides state-of-the-art solutions to common problems in manufacturing systems. Assuming some knowledge of discrete event systems theory, the book first delivers a detailed introduction to the most important formalisms used for the modeling, analysis, and control of manufacturing systems (including Petri nets, automata, and max-plus algebra), explaining the advantages of each formal method. It then employs the different formalisms to solve specific problems taken from today’s industrial world, such as modeling and simulation, supervisory control (including deadlock prevention) in a distributed and/or decentralized environment, performance evaluation (including scheduling and optimization), fault diagnosis and diagnosability analysis, and reconfiguration.
Containing chapters written by leading experts in their respective fields, Formal Methods in Manufacturing helps researchers and application engineers handle fundamental principles and deal with typical quality goals in the design and operation of manufacturing systems.