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Open Access research that power business decision making...

Strathprints makes available scholarly Open Access research by the Department of Management Science. This includes research that seeks to develop theory, solution methods and algorithms for confronting solving optimisation and predictive analytics problems arising from real-world situations, such as those arising in manufacturing, logistics, health and energy.

Management Science also explores the application of management science within healthcare organisations, the deployment of data analytics in the creation of risk-based decision support systems, and supply chain risk management.

Explore research outputs by Management Science -- or explore all of Strathclyde's Open Access research...

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Number of items: 6.

2017

Tinsley, Lawrence and Chalk, Christine and Nicholls, John and Mehnen, Jörn and Roy, Rajkumar (2017) A study of pulsed thermography for life assessment of thin EB-PVD TBCs undergoing oxidation ageing. NDT and E International, 92. pp. 67-74. ISSN 0963-8695

2016

Zhao, Yifan and Tinsley, Lawrence and Addepalli, Sri and Mehnen, Jörn and Roy, Rajkumar (2016) A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection. NDT and E International, 83. pp. 59-67. ISSN 0963-8695

2013

Dobie, Gordon and Pierce, S. Gareth and Hayward, Gordon (2013) The feasibility of synthetic aperture guided wave imaging to a mobile sensor platform. NDT and E International, 58. pp. 10-17. ISSN 0963-8695

Dobie, Gordon and Summan, Rahul and MacLeod, Charles Norman and Pierce, Stephen (2013) Visual odometry and image mosaicing for NDE. NDT and E International, 57. pp. 17-25. ISSN 0963-8695 (In Press)

2005

McNab, D. and McNab, A. and Robinson, R.J. and Toft, M. and McDonald, J.R. (2005) An intelligent approach to inspection qualification. NDT and E International, 38 (2). pp. 97-105. ISSN 0963-8695

2004

Graham, D. and Maas, P. and Donaldson, G.B. and Carr, C. (2004) Impact damage detection in carbon fibre composites using HTS SQUIDs and neural networks. NDT and E International, 37 (7). pp. 565-570. ISSN 0963-8695

This list was generated on Sun Aug 1 16:18:57 2021 BST.