Manufacturing plant control challenges and issues

Enterprise control system integration between business systems, manufacturing execution systems and shop-floor process-control systems remains a key issue for facilitating the deployment of plant-wide information control systems for practical e-business-to-manufacturing industry-led issues. Achievem...

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Bibliographic Details
Published in:Control engineering practice 2007-11, Vol.15 (11), p.1321-1331
Main Authors: Morel, Gérard, Valckenaers, Paul, Faure, Jean-Marc, Pereira, Carlos E., Diedrich, Christian
Format: Article
Language:English
Subjects:
Applied sciences
Automatic
Computer science
control theory
systems
Computer systems and distributed systems. User interface
Control theory. Systems
Dependable manufacturing systems
Education
Engineering Sciences
Exact sciences and technology
Intelligent manufacturing systems
Inventory control, production control. Distribution
Manufacturing plant control
Networked automation
Operational research and scientific management
Operational research. Management science
Process control. Computer integrated manufacturing
Software
Software engineering
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Summary:Enterprise control system integration between business systems, manufacturing execution systems and shop-floor process-control systems remains a key issue for facilitating the deployment of plant-wide information control systems for practical e-business-to-manufacturing industry-led issues. Achievement of the integration-in-manufacturing paradigm based on centralized/distributed hardware/software automation architectures is evolving using the intelligence-in-manufacturing paradigm addressed by IMS industry-led R&D initiatives. The remaining goal is to define and experiment with the next generation of manufacturing systems, which should be able to cope with the high degree of complexity required to implement agility, flexibility and reactivity in customized manufacturing. This introductory paper summarizes some key problems, trends and accomplishments in manufacturing plant control before emphasizing for practical purposes some rationales and forecasts in deploying automation over networks, holonic manufacturing execution systems and their related agent-based technology, and applying formal methods to ensure dependable control of these manufacturing systems.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2007.05.005