Overview
- Presents research in the field of distributed automation and control within the process industries
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Advanced Manufacturing (SSAM)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Success in the continuous process industries depends upon the ability to adapt to the demands of global supply chains in real-time. Thus, process plants must be designed to be easily reconfigured as and when necessary. “A Distributed Coordination Approach to Reconfigurable Process Control” presents research that addresses this issue, via developing a new distributed framework that will enable the building of a process control system that is capable of reconfigurability. This framework views the process as a set of readily-integrated, modular process elements, which operate relatively independently and are each supported by a degree of stand-alone decision-making capability. The rationale and benefits of moving towards the new approach is demonstrated by means of a worked example of a real process plant. The research will also help end-users to gain an understanding of the economic aspects of material flows across their plants, and the ways in which their processes can be integrated across the enterprise.
Similar content being viewed by others
Keywords
Table of contents (8 chapters)
-
Problem Development
-
A Distributed Reconfigurable Process Control Approach
-
An Assessment of the DRPC Approach
Reviews
From the reviews:
"The book is well organized and presents the most important classical and modern essentials of manufacturing control engineering. Suitable for senior under graduate and under graduate students as well as practical engineers and researchers interested in a distributed coordination approach to reconfigurable process control." (Seenith Sivasundaram, Zentrablatt MATH, Vol. 1153, 2009)
Authors and Affiliations
About the authors
Nirav Chokshi is a Visiting Researcher with the Centre for Distributed Automation and Control at the University of Cambridge. He has worked in the chemical industry and the nuclear industry, where he was involved in a variety of small-to-medium scale projects on design and maintenance of process automation systems. His research interests include distributed automation, systems integration and process optimization and control.
Duncan McFarlane is a Professor of Service and Support Engineering at the Engineering Department of the University of Cambridge, and Head of the Distributed Information & Automation Laboratory within the Institute for Manufacturing. He is also Director of the Cambridge Auto-ID Lab and Research Director of two industrially supported activities: the Service and Support Engineering Programme and the Aero ID Programme. He has been involved in the design and operation of automation and information system for the manufacturing supply chain for twenty years. His research interests include manufacturing control & automation, modular manufacturing systems design, analysis and synthesis of co-operative control systems, information filtering, model tuning and adaptation, manufacturing systems integration, fault diagnostics, automated identification systems, quality control, and supply chain execution systems.
Bibliographic Information
Book Title: A Distributed Coordination Approach to Reconfigurable Process Control
Authors: Nirav N. Chokshi, Duncan C. McFarlane
Series Title: Springer Series in Advanced Manufacturing
DOI: https://doi.org/10.1007/978-1-84800-060-5
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-059-9Published: 15 November 2007
Softcover ISBN: 978-1-84996-717-4Published: 28 October 2010
eBook ISBN: 978-1-84800-060-5Published: 21 November 2007
Series ISSN: 1860-5168
Series E-ISSN: 2196-1735
Edition Number: 1
Number of Pages: XI, 189
Topics: Control, Robotics, Mechatronics, Manufacturing, Machines, Tools, Processes, Operations Research/Decision Theory, Manufacturing, Machines, Tools, Processes