Predicting the effects of common levels of variability on flow processing systems.

De Montfort University Open Research Archive

Predicting the effects of common levels of variability on flow processing systems.

Khalil, R. A. (Riham A.) ; Stockton, David ; Fresco, John Anthony
Subject: 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.

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
URI: http://hdl.handle.net/2086/305
DOI: http://dx.doi.org/10.1080/09511920701233472
ISSN: 0951-192X
1362-3052
Research Group: Manufacturing Research
Date: 2007-01-01

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