Back to results
Cover image for book System Modeling and Control with Resource-Oriented Petri Nets

System Modeling and Control with Resource-Oriented Petri Nets

By:MengChu Zhou; Naiqi Wu
Publisher:Taylor & Francis
Print ISBN:9780367836047
eText ISBN:9781351834124
Edition:1
Copyright:2010
Format:Reflowable

eBook Features

Instant Access

Purchase and read your book immediately

Read Offline

Access your eTextbook anytime and anywhere

Study Tools

Built-in study tools like highlights and more

Read Aloud

Listen and follow along as Bookshelf reads to you

Petri nets are widely used in modeling, analysis, and control of discrete event systems arising from manufacturing, transportation, computer and communication networks, and web service systems. However, Petri net models for practical systems can be very large, making it difficult to apply such models to real-life problems. System Modeling and Control with Resource-Oriented Petri Nets introduces a new resource-oriented Petri net (ROPN) model that was developed by the authors. Not only does it successfully reduce model size, but it also offers improvements that facilitate effective modeling, analysis, and control of automated and reconfigurable manufacturing systems. Presenting the latest research in this novel approach, this cutting-edge volume provides proven theories and methodologies for implementing cost and time-saving improvements to contemporary manufacturing systems. It provides effective tools for deadlock avoidance—deadlock-free routing and deadlock-free scheduling. The authors supply simple and complex industrial manufacturing system examples to illustrate time-tested concepts, theories, and approaches for solving real-life application problems. Written in a clear and concise manner, the text covers applications to automated and reconfigurable manufacturing systems, automated guided vehicle (AGV) systems, semiconductor manufacturing systems, and flexible assembly systems. Explaining complex concepts in a manner that is easy to understand, the authors provide the understanding and tools needed for more effective modeling, analysis, performance evaluation, control, and scheduling of engineering processes that will lead to more flexible and efficient manufacturing systems.