School of Engineering
Computing and Technology Building, CM128
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With over 25 years’ experience in product design and manufacture, Geoff Hall manages the Advanced Digital Manufacturing Technology Research Centre (ADMT) at the University of Central Lancashire's Burnley campus. For the past 6 years Geoff has led UCLan's manufacturing related ERDF funded projects which aim to introduce Industry 4.0 technologies into manufacturing SMEs.
For the last 16 years Geoff has provided industry focused input into UCLan Engineering research and teaching. The main focus of the last 8 years has been the development and implementation of a successful SME engagement program based at the Burnley campus. This program has also made a significant contribution to the direction of the Electronics and Robotics courses taught at the Preston Campus.
2019 will see this engagement program further extended as part of the Engineering Innovation Centre (EIC) launch.
Duerden C, Shark L-K, Hall G and Howe J: Genetic algorithms for energy consumption variance minimisation in manufacturing production lines through schedule manipulation, Book Chapter in Transactions on Engineering Technologies - World Congress on Engineering and Computer Science 2014, Edited by Haeng Kon Kim, Sio-Long Ao and Mahyar A, Amouzegar, pp1-14, Springer.
Duerden C, Shark L-K, Hall G and Howe J: “Minimisation of energy consumption variance for multi-process manufacturing lines through genetic algorithm manipulation of production schedule”, Engineering Letters, Vol.23, No.1, pp.40-48, 2015.
Duerden C, Shark L-K, Hall G and Howe J: “Genetic algorithm based modification of production schedule for variance minimisation of energy consumption”, International Conference on Intelligent Automation and Robotics, San Francisco, USA, October 22-24, 2014 and published in Lecture Notes in Engineering and Computer Science, Vol.1, pp370-375.
Duerden C, Shark L-K, Hall G and Howe J: “Genetic algorithm based production schedule optimization system for highly granular energy consumption variance minimisation”, IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, October 9-12, 2015.