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Personal profile

Personal Statement

I am a Management Science Principal Knowledge Exchange (KE) Fellow (Reader equivalent) and Head of the Centre for Corporate Connections (CCC) with experience of establishing high quality KE programmes. This includes identifying projects and securing funding, engaging with clients to identify and develop innovative analytical solutions to existing problems, converting this to applied research publications and delivering industry-facing training courses. I am Director of Knowledge Exchange for the Department of Management Science and Associate Dean for KE for Strathclyde Business School.

I helped to co-found two industry facing research units: the Risk Consortium in 2009 and the Centre for Informed Decision Analytics (IDeA) in 2018. The Risk Consortium was established to provide a platform for industry partners to share problems, solutions and cutting-edge techniques for quantitative risk analysis and reliability modelling and to bridge the gap between industry and research. IDeA is a dedicated industry facing unit for the Department of Management Science that escalates current activity, enhances research output, impact and grant proposals, and enhances our teaching portfolio.

My research has been published in 3* and 4* journals (Association of Business School list) and I am responsible for supervising and managing the output of 5 KE staff, 1 postdoc researcher and 7 PhD students. I have experience teaching on a wide range of courses; both to students and practitioners. I have a proven track record of engaging and maintaining relationships with different clients and sectors, and I have experience of presenting to and communicating with a wide range of different audiences. I am on the editorial board of the IMechE Journal of Risk and Reliability, on the Board of Directors for the European Safety and Reliability Data Association and I am a Fellow of the Operational Research Society.

Research Interests

My research interests focus on modifying and applying Management Science methods to solve industrial problems. 

My main area of research is in Reliability, Availability and Maintainability (RAM) modelling. To date, I have developed tools for modelling reliability during procurement, diagnostic and prognostic modelling, maintenance scheduling and degradation modelling.

I am also interested in using both statistical and machine learning models to analyse complex datasets. Examples of work to date include prognostic modelling of offshore SCADA data from wind turbines, forecasting offshore wind speeds and wave heights, and modelling performance of athletes.  

I have a broad interest in a wide range of mathematical models to support decision making. For example, I am interested in developing methods for modelling and assessing dependencies between uncertain quantities for use in decision models and have developed models using techniques such as Bayesian Networks and Bayes linear. I have used discrete event simulation to model maintenance schedules and logistic operations. I also have interest in optimisation models such as multi-objective optimisation and rolling optimisation.

Future areas of study will focus on big data and reliability, degradation and maintenance, load sharing, asset management and residual life. 

 

Expertise & Capabilities

  • Reliability, Availability and Maintainability modelling
  • Expert Judgement
  • Analytics
  • Quantitative Modelling for Decision Making 

I have experience applying these methods and models to real world problems such as those found in industry and engineering. I have worked extensively in the following sectors: power generation (coal, onshore and offshore wind, nuclear); utilities (water, transportation, Oil and Gas); and military (aerospace, electronics, land vehicles)

Teaching Interests

My teaching portfolio focuses on teaching risk management and decision making tools to postgraduate or postexperience students. For example, I regularly contribute to the MBA Analytical Support for Decision Making module, with experience teaching in Switerland, Dubai, Abu Dhabi, Bahrain and Madrid. I teach Risk Analysis and Management to Engineering postgraduate students and Management Science methods to the Wind Energy Centre for Doctoral Training students. I also teach on industry facing courses with SSE and Ibderdrola. 

Education/Academic qualification

Doctor of Philosophy, UNIVERSITY OF STRATHCLYDE

Master of Science, UNIVERSITY OF STRATHCLYDE

Bachelor of Science, University of Glasgow

Fingerprint Dive into the research topics where Matthew Revie is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2011 2024

Selected Research Output 2004 2019

17 Citations (Scopus)

Estimating the probability of rare events: addressing zero failure data

Quigley, J. & Revie, M., 1 Jul 2011, In : Risk Analysis. 31, 7, p. 1120-1132 13 p.

Research output: Contribution to journalArticle

Maximum likelihood
Likelihood Functions
Sampling Studies
Sample Size
3 Citations (Scopus)

An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access

Catterson, V. M., McMillan, D., Dinwoodie, I., Revie, M., Dowell, J., Quigley, J. & Wilson, K., 11 Jan 2016, In : Wind Energy. 19, 2, p. 199-212

Research output: Contribution to journalArticle

Open Access
File
Economics
Offshore wind farms
Costs
Industry
Decision making
15 Citations (Scopus)
Sensitivity analysis
Product design
Product development
Contractors
Industrial applications
36 Citations (Scopus)

A load sharing system reliability model with managed component degradation

Ye, Z., Revie, M. & Walls, L., 22 Apr 2014, In : IEEE Transactions on Reliability . 63, 3, p. 721-730 10 p.

Research output: Contribution to journalArticle

Open Access
File
Degradation
Random processes
Costs
Water
Industry
16 Citations (Scopus)

Intelligent integrated maintenance for wind power generation

Pattison, D., Segovia Garcia, M., Xie, W., Quail, F., Revie, M., Whitfield, I. & Irvine, I., 5 Jan 2016, In : Wind Energy. 16 p.

Research output: Contribution to journalArticle

Open Access
File
Wind power
Power generation
Turbines
Condition monitoring
Bayesian networks

Implicit and explicit risk perception, affect, and trust: an investigation of food "traffic lights"

McCarthy, T., Burns, C. & Revie, M., 20 Mar 2014, Proceedings of the Risk Perception and Response Conference. Boston, USA

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

File
Risk perception
Telecommunication traffic
Processing
Oils and fats
Medical problems

Thesis

Prizes

Scottish Knowledge Exchange Awards: Multi–Party Collaboration Award

David McMillan (Recipient), Matthew Revie (Recipient), Stephen McArthur (Recipient), Tim Bedford (Recipient), Iraklis Lazakis (Recipient) & Alexander Day (Recipient), 2016

Prize: Prize (including medals and awards)

Innovation
Carbon

Activities 2012 2017

Online CPD - Decision-making in Place-making

Branka Dimitrijevic (Speaker), Ashraf M. Salama (Speaker), Sergio Porta (Speaker), Matthew Revie (Speaker)
1 Feb 2017

Activity: Participating in or organising an event typesParticipation in workshop, seminar, course

European Safety and Reliability Conference 2016

Matthew Revie (Organiser)
25 Sep 201628 Sep 2016

Activity: Participating in or organising an event typesOrganiser of major conference