Items created by Duerden, Christopher James

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Number of items: 6.

2016

Duerden, Christopher James (2016) Minimisation of Energy Consumption Variance in Manufacturing through Production Schedule Manipulation. Doctoral thesis, University of Central Lancashire.

Duerden, Christopher James, Shark, Lik orcid iconORCID: 0000-0002-9156-2003 and Hall, Geoff orcid iconORCID: 0000-0002-7391-3439 (2016) Prediction of granular time-series energy consumption for manufacturing jobs from analysis and learning of historical data. In: Annual Conference on Information Science and Systems (CISS), 16 - 18 March 2016, Princeton, NJ, USA. (Unpublished)

Duerden, Christopher James, Shark, Lik orcid iconORCID: 0000-0002-9156-2003, Hall, Geoff orcid iconORCID: 0000-0002-7391-3439 and Howe, Joseph Mark (2016) Genetic Algorithm Based Production Schedule Optimization System for Highly Granular Energy Consumption Variance Minimization. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics, 9th - 12th October 2015.

Duerden, Christopher James, Shark, Lik orcid iconORCID: 0000-0002-9156-2003 and Hall, Geoff orcid iconORCID: 0000-0002-7391-3439 (2016) Genetic Algorithm based Production Schedule Modification System for Highly Granular Energy Consumption Variance Minimisation. In: IEEE International Conference on Systems, Man and Cybernetics, 9-12 October 2015, Kowloon, China.

2015

Duerden, Christopher James, Shark, Lik-Kwan orcid iconORCID: 0000-0002-9156-2003, Hall, Geoff orcid iconORCID: 0000-0002-7391-3439 and Howe, Joseph Mark (2015) Minimisation of energy consumption variance for multi-process manufacturing lines through genetic algorithm manipulation of production schedule. Engineering Letters, 23 (1). pp. 40-48. ISSN 1816-093X

2014

Duerden, Christopher James, Shark, Lik orcid iconORCID: 0000-0002-9156-2003, Hall, Geoff orcid iconORCID: 0000-0002-7391-3439 and Howe, Joseph Mark (2014) Genetic Algorithm based Modification of Production Schedule for Variance Minimisation of Energy Consumption. In: International Conference on Intelligent Automation and Robotics 2014, 22nd-24th October 2014, San Francisco, USA.

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