Predicting the effects of common levels of variability on flow processing systems.
Date
2007-01-01
Advisors
Journal Title
Journal ISSN
ISSN
0951-192X
1362-3052
1362-3052
Volume Title
Publisher
Taylor & Francis
Type
Article
Peer reviewed
Abstract
Description
The simulation models reported are being employed within a £101k EPSRC Life Sciences Interface Programme cross-disciplinary research project E057020 ‘Discrete Event Simulation of Biological Control Processes and its Application to Autonomous Decision-Making in Manufacturing Systems’ where Maria Schilstra, (m.j.1.schilstra@herts.ac.uk), University of Hertfordshire is a collaborator. The reported methodology will also form an essential component of the £1.0 million DTI Technology Programme research project K1532G ‘Accelerated Process Excellence using Virtual Discrete Event Process Simulation’ where industrial partners include Gillis_Cliff_M@perkins.com, Perkins Engines Group Ltd and keith.higham@intier.com, Intier Automotive Interiors. The author is Principal Investigator for both projects
Keywords
RAE 2008, UoA 28 Mechanical, Aeronautical and Manufacturing Engineering, process variability, variability prediction, flow processing systems
Citation
Khalil, R.A., Stockton, D.J. and Fresco, J.A. (2008) Predicting the effects of common levels of variability on flow processing systems. International Journal of Computer Integrated Manufacturing, 21(3), pp.325-336.