Professor Matthew Revie

Professor Of Practice

Management Science

Personal statement

I am Professor of Practice in Management Science and Director of Strathclyde Executive Education and Development (SEED) with experience of establishing high-quality industry-facing research and education programmes. I am Director of Knowledge Exchange for the Department of Management Science and Associate Dean for KE for Strathclyde Business School. As Director of SEED, I am responsible for all of the Business School's Executive Education.  

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 Schools list) and I am responsible for supervising and managing the output of 5 KE staff, one postdoc researcher and 5 PhD students. I have experience teaching on a wide range of courses; both to students and practitioners. 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.

As Director of SEED, I am responsible for directing a team of 20 professional services and academics to engage with industry and government to design, develop and ultimately deliver high-impactful education and training programmes. Since 2019, we have grown from 2 staff to 20, increasing income from £700k to a total of £5M. 


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)

Prizes and awards

Scottish Knowledge Exchange Awards: Multi–Party Collaboration Award

more prizes and awards


Reliability modelling of infrastructure load-sharing systems with workload adjustment
Sun Qiuzhuang, Ye Zhi-Sheng, Revie Matthew, Walls Lesley
IEEE Transactions on Reliability Vol 68, pp. 1283-1295 (2019)
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 Vol 232, pp. 524-532 (2018)
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)
Continuous-observation partially observable semi-Markov decision processes for machine maintenance
Zhang Mimi, Revie Matthew
IEEE Transactions on Reliability Vol 66, pp. 202-218 (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

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
Peer reviewer
Online CPD - Decision-making in Place-making
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

more professional activities


Analysis of recurrent failure data from a pipe network
Revie, Matthew (Principal Investigator)
28-Jan-2019 - 27-Jan-2022
GCRF One Ocean Hub
Morgera, Elisa (Principal Investigator) Baum, Thomas (Co-investigator) Cathcart, Alison (Co-investigator) Clark, Bryan (Co-investigator) Da Lomba, Sylvie (Co-investigator) Heath, Mike (Co-investigator) Revie, Matthew (Co-investigator) Sindico, Francesco (Co-investigator) Switzer, Stephanie (Co-investigator) Vermeylen, Saskia (Co-investigator) Webster, Elaine (Co-investigator)
13-Jan-2019 - 12-Jan-2024
KTP - Maru Syngro
Barlow, Euan (Principal Investigator) Revie, Matthew (Co-investigator) Roper, Marc (Co-investigator)
15-Jan-2018 - 14-Jan-2020
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)
01-Jan-2017 - 31-Jan-2018
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)
01-Jan-2017 - 31-Jan-2020
KTP - Datalytics
Revie, Matthew (Principal Investigator) Bedford, Tim (Co-investigator)
18-Jan-2017 - 15-Jan-2020

more projects