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The research work we undertake in the CPT is driven by the needs of industry and takes us to many high-profile companies throughout the UK and abroad. My work concentrates on improving the maintenance performance of manufacturing systems by analysing the equipment used to produce parts. My area of special interest is maintaining the capability of the CNC production machines and investigating the strategies of calibrations to produce parts with improved accuracy, while not reducing machine tool availability or production throughput.
Our research group has a significant level of expertise in measurement and compensation of geometric, thermal, dynamic and load-dependent errors. I have been integral to the success of the University of Huddersfield’s maintenance performance measurement and management to improve the accuracy of CNC machine tools by establishing a new cost-model to highlight the difference between failure modes for standard maintenance and accuracy related calibration which will assist in decision processes for high-value manufacturing at all scales of production.
My industrial experiences at oil and gas companies are a major influence on my research and teaching, contributing to all elements of my taught modules and informing new research projects at postgraduate level.
Shagluf, A., Parkinson, S., Longstaff, A. and Fletcher, S. (2017) ‘Adaptive decision support for suggesting a machine tool maintenance strategy: from reactive to preventative’ Journal of Quality in Maintenance Engineering . ISSN 1355-2511
Shagluf, A., Longstaff, A. and Fletcher, S. (2015) ‘Derivation of a cost model to aid management of CNC machine tool accuracy maintenance’ Journal of Machine Engineering , 15 (2), pp. 17-43. ISSN 1895-7595
Shagluf, A., Longstaff, A. and Fletcher, S. (2014) ‘Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors’. In: Proceedings of Maintenance Performance Measurement and Management. Coimbra, Portugal: Department of Mechanical Engineering Pólo II · FCTUC. pp. 111-118. ISBN 978-972-8954-42-0
Shagluf, A., Parkinson, S., Longstaff, A. and Fletcher, S. (2014) ‘Towards an Optimization Calculation for Preventative and Reactive Calibration Strategies’. In: SDM'2014 International Conference on Sustainable Design and Manufacturing Cardiff, Wales, UK 28-30 April 2014. Cardiff, UK: KES International. pp. 83-94. ISBN 978-0-9561516-9-8
Shagluf, A., Longstaff, A., Fletcher, S., Denton, P. and Myers, A. (2013) ‘The importance of assessing downtime cost related factors towards an optimised machine tool calibration schedule’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2013 : CEARC'13. Huddersfield: University of Huddersfield. pp. 182-187. ISBN 9781862181212
Shagluf, A., Longstaff, A., Fletcher, S. and Denton, P. (2013) ‘Towards a Downtime Cost Function to Optimise Machine Tool Calibration Schedules’. In: Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies. Stockholm, Sweden: KTH Royal Institute of Technology. pp. 231-240. ISBN 9789175018935
Shagluf, A., Longstaff, A. and Fletcher, S. (2015) ‘A Preliminary Study of Applying Lean Six Sigma Methods to Machine Tool Measurement’. In: Second International Conference on Sustainable Design and Manufacturing, 12th-14th April 2015, Seville, Spain
Shagluf, A., Longstaff, A., Fletcher, S., Denton, P. and Myers, A. (2013) ‘Predictive Calibration-Based Tolerance Boundaries For Arresting Deterioration of Machine Tool Accuracy’. In: 2nd Annual EPSRC Manufacturing the Future Conference, 17-18 September 2013, Cranfield University, UK
Module (teaching assistant) NMM3512 - Manufacturing Systems Automation