Predicting the effects of common levels of variability on flow processing systems.
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, (firstname.lastname@example.org), 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 email@example.com, Intier Automotive Interiors. The author is Principal Investigator for both projects
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.
ISSN : 0951-192X
Research Group : Manufacturing Research