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dc.contributor.authorKhalil, R. A. (Riham A.)en
dc.contributor.authorStockton, Daviden
dc.contributor.authorFresco, John Anthonyen
dc.date.accessioned2008-11-24T14:07:57Z
dc.date.available2008-11-24T14:07:57Z
dc.date.issued2007-01-01en
dc.identifier.citationKhalil, 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.issn0951-192Xen
dc.identifier.issn1362-3052
dc.identifier.urihttp://hdl.handle.net/2086/305
dc.descriptionThe 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 projectsen
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.subjectRAE 2008
dc.subjectUoA 28 Mechanical, Aeronautical and Manufacturing Engineering
dc.subjectprocess variability
dc.subjectvariability prediction
dc.subjectflow processing systems
dc.titlePredicting the effects of common levels of variability on flow processing systems.en
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1080/09511920701233472en
dc.researchgroupManufacturing Research
dc.ref2014.selected1366964034_0210680081534_15_1


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