Use of genetic algorithms in operations management. Part I: Applications.
This output reports application solutions being further advanced and exploited as part of two DTI Technology Programme research projects, ie (i) £1.4 million H0254E ‘Improving customer demand and cost forecasting methods’ where industrial partners include Ian_Warburton@unipart.co.uk, Unipart Logistics and email@example.com, Trelleborg Industrial AVS, and (ii) £1.0 million K1532G ‘Accelerated Process Excellence using Virtual Discrete Event Process Simulation’ where industrial partners include Gillis_Cliff_M@perkins.com, Perkins Engines Group Ltd and firstname.lastname@example.org, Intier Automotive Interiors. The author is Principal Investigator for both projects.
Citation : Stockton, D.J., Quinn, L. and Khalil, R.A. (2004) Use of genetic algorithms in operations management. Part I: Applications. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 218(3), pp. 315-327
ISSN : 0954-4054
Research Group : Manufacturing Research