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Dr Matthew Revie

Principal Knowledge Exchange Fellow

Management Science

Personal statement

My primary role is to support the departments KE agenda by establishing high quality KE programmes in the area of Decision Analysis and Risk Management. 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 have worked on over 25 KE projects with more than 15 different organisations and I have co-founded two industry facing research units: the Risk Consortium in 2009 and the Centre for Intelligent Asset Management (CIAM) in 2011. I have published in 3* and 4* journals (Association of Business School list) and I am responsible for supervising and managing the output of 6 postdoc researchers and 6 PhD students. 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 a Fellow of the Operational Research Society. I am also Director of KE for the Department of Management Science and Associate Dean for KE and External Engagement for SBS. 


Has expertise in:

    • 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)


Decision support tool for offshore wind farm vessel routing under uncertainty
Dawid Rafael, McMillan David, Revie Matthew
Energies Vol 11, (2018)
A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations
Barlow Euan, Tezcaner Öztürk Diclehan, Revie Matthew, Akartunali Kerem, Day Alexander H., Boulougouris Evangelos
European Journal of Operational Research Vol 264, pp. 894-906, (2018)
Heuristic algorithm for the problem of vessel routing optimisation for offshore wind farms
Dawid Rafael, McMillan David, Revie Matthew
The Journal of Engineering Vol 2017, pp. 1159–1163, (2018)
On modelling insights for emerging engineering problems : a case study on the impact of climate uncertainty on the operational performance of offshore wind farms
Dinwoodie Iain, McMillan David, Lazakis Iraklis, Dalgic Yalcin, Revie Matthew
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, (2017)
On modeling player fitness in training for team sports with application to professional rugby
Revie Matthew, Wilson Kevin J., Holdsworth Rob , Yule Stuart
International Journal of Sports Science and Coaching, (2017)
Application of multiple linear regression and Bayesian belief network approaches to model life risk to beach users in the UK
Stokes Christopher, Masselink Gerhard, Revie Matthew, Scott Timothy, Purves David, Walters Thomas
Ocean and Coastal Management, (2017)

more publications


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. 

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. 


Professional activities

European Safety and Reliability Conference 2016
European Safety and Reliability Conference ESREL 2016
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
Guest editor
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
Editorial board member
Operational Research Scotland Group (External organisation)
BBC Radio Scotland interview about work with Glasgow Warriors

more professional activities


TIC LCPE Repowering Hydro Plants - a Decision Support Tool
Walls, Lesley (Principal Investigator) Howick, Susan (Co-investigator) Quigley, John (Co-investigator) Revie, Matthew (Co-investigator)
Period 01-Nov-2017 - 31-Mar-2018
KTP - Datalytics
Revie, Matthew (Principal Investigator) Bedford, Tim (Co-investigator)
Period 18-Oct-2017 - 15-Apr-2020
Data Analytics and Structured Expert Judgement: Developing a Framework for Modelling
Revie, Matthew (Principal Investigator) Walls, Lesley (Co-investigator)
Period 01-Oct-2016 - 30-Sep-2019
Towards Game-changer Service Operation Vessels for Offshore Windfarms (NEXUS) H2020-BG-2016-2017
Vassalos, Dracos (Principal Investigator) Bedford, Tim (Co-investigator) Boulougouris, Evangelos (Co-investigator) Bujorianu, Luminita (Co-investigator) Lazakis, Iraklis (Co-investigator) McMillan, David (Co-investigator) Puisa, Romanas (Co-investigator) Quigley, John (Co-investigator) Revie, Matthew (Co-investigator) Theotokatos, Gerasimos (Co-investigator) Walls, Lesley (Co-investigator)
Period 01-Nov-2017 - 31-Oct-2020
TIC LCPE: Enhanced simulation and logistics of offshore wind farm installation (Wind-04)
Revie, Matthew (Principal Investigator)
Period 13-Feb-2017 - 15-Jun-2018
Cable failure investigation
Segovia Garcia, Maria Del Carmen (Researcher) Booth, Campbell (Academic) Revie, Matthew (Academic)
The aim of this project is to understand how underground cables fail, to analyse the factors affecting the health of the cable and finally to develop a model that can help to prevent cables failures. The project also aims to consider Condition Monitoring information, when possible, to advise the risk of failure.
Period 19-Aug-2013 - 14-Apr-2014

more projects