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System Modeling and Control with Resource-Oriented Petri Nets

by Mengchu Zhou , Naiqi Wu
Save 17% Save 17%
Current price ₹28,491.00
Original price ₹34,190.00
Original price ₹34,190.00
Original price ₹34,190.00
(-17%)
₹28,491.00
Current price ₹28,491.00

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Book cover type: Hardcover
  • ISBN13: 9781439808849
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: CRC Press
  • Publisher Imprint: CRC Press
  • Publication Date:
  • Pages: 306
  • Original Price: USD 280.0
  • Language: English
  • Edition: 1
  • Item Weight: 567 grams
  • BISAC Subject(s): Computer Engineering

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.

Naiqi Wu is a professor of industrial and systems engineering in the Department of Industrial Engineering at Guangdong University of Technology, People's Republic of China. MengChu Zhou is a professor of electrical and computer engineering and the director of the Discrete-Event Systems Laboratory at the New Jersey Institute of Technology, Newark, USA.

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