Projects per year
Personal profile
Personal Statement
John is an Industrial Statistician with expertise in developing and applying statistical and stochastic methods to build decision support models. In particular, he has extensive experience in developing models for reliability growth analysis. For example, with his colleague Professor Walls, they were actively leading activities in the DTI/aerospace industry funded project, Reliability Enhancement Methodology and Modelling (REMM) which was awarded the Simms Prize by the Royal Aeronautical Society. He has been involved in consultancy and applied research projects for reliability growth with, for example, Aero-Engine Controls, Rolls Royce, Irving Aerospace, BAE SYSTEMS and the MOD. The model developed as part of the REMM project is included in the industry standard for reliability growth analysis methods, BS/IEC 61164 as well as contributing to the Strathclyde Business Schools impact cases for the Research Enhancement Framework.
Beyond defence, John has experience of developing decision support models for asset management for energy utilities (e.g. Scottish Power, SSE), water utilities (KTP with Scottish Water) and critical infrastructure (e.g. anchorage condition assessment of Forth Road Bridge). Wider modelling has been in support of risk analysis (e.g. supplier risk analysis with Rolls Royce as part on a major ongoing EPSRC research project, risk of train derailments with Railway Safety and Standards Board).
John has worked with the European Food Safety Agency (EFSA) training staff for elicitation and quantification of expert uncertainty as well as leading the COST Working Group on Processes and Procedures for eliciting expert judgment. The COST project resulted in the book Elicitation: The Science and Art of Structuring Judgement.
John is an Associate of the Society of Actuaries, a Chartered Statistician, and a member of the Safety and Reliability Society. He has a Bachelor of Mathematics in Actuarial Science from the University of Waterloo, Canada and a PhD in Management Science from the University of Strathclyde.
Teaching Interests
John provides specialist teaching for a number of programmes at various levels. These have included teaching Management Science at all levels of undergraduate and postgraduate as well as Executive Education. The postgraduate programmes for which he teaches include MSc in Operational Research and Business Analysis & Consulting as well as MBA. Together with Professor Scholarios from the department of Human Resouce Management, he developed the Research Methods training module for all research students in the Strathclyde Business School. John has taught in 10 different international centres across Europe, the Middle East and South East Asia, as well as Executive Education in Canada.
John is committed to making effective use of technology to support teaching and learning. He has been involved in managing, developing and teaching on pedagogically successful online and distance courses, as well as investigating the effectiveness of using virtual reality environments to support teaching.
Education/Academic qualification
Doctor of Philosophy, UNIVERSITY OF STRATHCLYDE
Bachelor of Mathematics, University of Waterloo
Keywords
- Uncertainty
- Statistics
- big data analytics
- decision making
- Bayesian Networks
- expert judgement
Fingerprint Dive into the research topics where John Quigley is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2004 2020
Towards Game-changer Service Operation Vessels for Offshore Windfarms (NEXUS) H2020-BG-2016-2017
Vassalos, D., Bedford, T., Boulougouris, E., Bujorianu, L., Lazakis, I., McMillan, D., Puisa, R., Quigley, J., Revie, M., Theotokatos, G. & Walls, L.
European Commission - Horizon 2020
1/11/17 → 31/10/20
Project: Research
ERDF Atlantic Area Programme 2014-2020 IN. 4.0 Project
Ates, A., Sminia, H., Walls, L. & Quigley, J.
1/09/17 → 31/08/20
Project: Research
Research Output 1995 2019
Quantifying the benefit of SHM: can the VoI be negative?
Verzobio, A., Bolognani, D., Zonta, D. & Quigley, J., 27 Mar 2019, 13th Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019. Lynch, J. P., Huang, H., Sohn, H. & Wang, K-W. (eds.). Bellingham, WA, USA, Vol. 10970. 8 p. 109701IResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution book
A probabilistic design reuse index
Vasantha, G., Sherlock, A., Corney, J. & Quigley, J., 26 Aug 2018. 12 p.Research output: Contribution to conference › Paper
Datasets
Data for: "A Probabilistic Measure of Design Reuse"
Annamalai Vasantha, G. V. (Creator), University of Strathclyde, Aug 2018
DOI: 10.15129/20ac02c9-7c33-4c5a-a436-157af53ff123, https://www.asme.org/events/idetccie
Dataset
Thesis
A conceptual model of trust in emergency evacuation : evidence from Indonesian volcano eruptions
Author: Hilya Mudrika Arini, H., 1 Dec 2017Supervisor: Bedford, T. (Supervisor) & Quigley, J. (Supervisor)
Student thesis: Doctoral Thesis
Explaining the role of Twitter in the amplification and attenuation of risk during health risk events through causal loop diagrams : a comparative study of Nova Scotia and Scotland
Author: Comrie, E. L., 1 Apr 2015Supervisor: Quigley, J. (Supervisor) & (Supervisor)
Student thesis: Doctoral Thesis
Prizes
KTP Award with Scottish Water
John Quigley (Recipient), 2010
Prize: Prize (including medals and awards)
Oustanding Paper Prize IEEE Engineering Management Conference, Singapore - joint work with Alstom Power, Switzerland
John Quigley (Recipient), 2008
Prize: Prize (including medals and awards)
Activities 2008 2011
Workshops on Mathematical Methods in Reliability
John Quigley (Organiser)Activity: Participating in or organising an event types › Organiser of special symposia
Risk Governance
John Quigley (Organiser)Activity: Participating in or organising an event types › To be assigned
Impacts
International standards and working practices of UK Aerospace & Defence industry changed by reliability growth modelling
Lesley Walls (Participant), John Quigley (Participant)
Impact: Impact - for External Portal › Economic and commerce, Professional practice, training and standards