Predicting the effects of common levels of variability on flow processing systems.
In: 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), 2007
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Zugriff:
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
| Titel: |
Predicting the effects of common levels of variability on flow processing systems.
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| Autor/in / Beteiligte Person: | Khalil, R. A. (Riham A.) ; Stockton, David ; Fresco, John Anthony |
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| Zeitschrift: | 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), 2007 |
| Veröffentlichung: | Taylor & Francis, 2007 |
| Medientyp: | academicJournal |
| ISSN: | 0951-192X (print) ; 1362-3052 (print) |
| DOI: | 10.1080/09511920701233472 |
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