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This volume introduces the authors' resource-oriented Petri net (ROPN) model that can reduce model size and offer improvements that facilitate effective modeling, analysis, and control of automated and reconfigurable manufacturing systems. Presenting the latest research in their novel approach, the authors provide proven theories and methodologies for implementing cost and time-saving improvements to contemporary manufacturing systems. They supply effective tools for deadlock avoidance, including deadlock-free routing and deadlock-free scheduling. They also include simple and complex…mehr

Produktbeschreibung
This volume introduces the authors' resource-oriented Petri net (ROPN) model that can reduce model size and offer improvements that facilitate effective modeling, analysis, and control of automated and reconfigurable manufacturing systems. Presenting the latest research in their novel approach, the authors provide proven theories and methodologies for implementing cost and time-saving improvements to contemporary manufacturing systems. They supply effective tools for deadlock avoidance, including deadlock-free routing and deadlock-free scheduling. They also include simple and complex industrial manufacturing system examples to illustrate time-tested concepts, theories, and approaches for solving real-life application problems.


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Autorenporträt
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.