Dr Matthew Revie

Principal Knowledge Exchange Fellow

Management Science

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.

Expertise

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
Recipient
2016

more prizes and awards

Publications

Reliability modelling of infrastructure load-sharing systems with workload adjustment
Sun Qiuzhuang, Ye Zhi-Sheng, Revie Matthew, Walls Lesley
IEEE Transactions on Reliability, pp. 1-27 (2019)
https://doi.org/10.1109/TR.2019.2900845
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)
https://doi.org/10.1177/1748006X17751493
Decision support tool for offshore wind farm vessel routing under uncertainty
Dawid Rafael, McMillan David, Revie Matthew
Energies Vol 11 (2018)
https://doi.org/10.3390/en11092190
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)
https://doi.org/10.1016/j.ejor.2017.05.043
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)
https://doi.org/10.1049/joe.2017.0511
Availability, operation & maintenance costs of offshore wind turbines with different drive train configurations
Carroll James, McDonald Alasdair, Dinwoodie Iain, McMillan David, Revie Matthew, Lazakis Iraklis
Wind Energy Vol 20, pp. 361-378 (2017)
https://doi.org/10.1002/we.2011

more publications

Teaching

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

Online CPD - Decision-making in Place-making
Speaker
1/2/2017
European Safety and Reliability Conference 2016
Organiser
25/9/2016
European Safety and Reliability Conference ESREL 2016
Organiser
2016
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
Guest editor
1/10/2015
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability (Journal)
Editorial board member
1/4/2014
Operational Research Scotland Group (External organisation)
Member
18/11/2013

more professional activities

Projects

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
TIC LCPE: Enhanced simulation and logistics of offshore wind farm installation (Wind-04)
Revie, Matthew (Principal Investigator)
13-Jan-2017 - 15-Jan-2018

more projects