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

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dc.contributor.author Khalil, R. A. (Riham A.) en
dc.contributor.author Stockton, David en
dc.contributor.author Fresco, John Anthony en
dc.date.accessioned 2008-11-24T14:07:57Z
dc.date.available 2008-11-24T14:07:57Z
dc.date.issued 2007-01-01 en
dc.identifier.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.
dc.identifier.issn 0951-192X en
dc.identifier.issn 1362-3052
dc.identifier.uri http://hdl.handle.net/2086/305
dc.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 en
dc.language.iso en en
dc.publisher Taylor & Francis en
dc.subject RAE 2008
dc.subject UoA 28 Mechanical, Aeronautical and Manufacturing Engineering
dc.subject process variability
dc.subject variability prediction
dc.subject flow processing systems
dc.title Predicting the effects of common levels of variability on flow processing systems. en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1080/09511920701233472 en
dc.researchgroup Manufacturing Research
dc.ref2014.selected 1366964034_0210680081534_15_1


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