Professor John Quigley

Head Of Department

Management Science

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.

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. 


Elicitation : state of the art and science
Dias Luis C , Morton Alec, Quigley John
ElicitationElicitation, (2017)
Learning from mixed OR method practice : the NINES case study
Howick Susan, Ackermann Fran, Walls Lesley, Quigley John, Houghton Tom
Omega Vol 69, pp. 70-81, (2017)
Elicitation : The Science and Art of Structuring Judgement
Dias Luis C , Morton Alec, Quigley John
Supplier quality improvement : the value of information under uncertainty
Quigley John, Walls Lesley, Demirel Güven, McCarthy Bart, Parsa Mahdi
European Journal of Operational Research, (2017)
Allocation of tasks for reliability growth using multi-attribute utility
Wilson Kevin J., Quigley John
European Journal of Operational Research Vol 255, pp. 259-271, (2016)
Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies
Qazi Abroon, Quigley John, Dickson Alex, Önsel Ekici Şule
European Journal of Operational Research Vol 259, pp. 189–204, (2016)

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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.    

Professional activities

Risk Governance
Workshops on Mathematical Methods in Reliability
Selex Gallileo
Visiting researcher
International Conference on Reliability
Keynote/plenary speaker
Canada School Contribution Agreement - Foundations of Risk
To be assigned
Consultancy with Doosan Babcock Power Systems

more professional activities


EPSRC Doctoral Training Grant | Blair, Shona
Quigley, John (Principal Investigator) Bedford, Tim (Co-investigator) Blair, Shona (Research Co-investigator)
Period 01-Oct-2008 - 01-May-2016
EPSRC Doctoral Training Grant - DTA, University of Strathclyde | Purves, David
Walls, Lesley (Principal Investigator) Quigley, John (Co-investigator) Purves, David (Research Co-investigator)
Period 01-Jan-2014 - 01-Sep-2017
Evacuating the Halifax Peninsula: Multidisciplinary Analysis and Training to Improve Evacuation from Coastal Floods
Quigley, John (Researcher) Burns, Calvin (Researcher)
Our research will provide two principal outcomes. First, we will issue a publically available report that summarizes our findings and recommendations for improvement of evacuations during floods. Secondly, we will develop a prototype for a collaborative game that can be used to train emergency managers for different evacuation scenarios, focussing on interdependence, time constraint, unanticipated human reactions, judgement, cooperation and accountability. Experience can be difficult to obtain in the context of evacuations because they happen so rarely; our prototype will help to develop skills and judgement so emergency managers can be more aware of context and better prepared should an event occur.
Period 01-Jan-2016 - 30-Apr-2017
Impact Acceleration Account - University Of Strathclyde 2012 / RA9178
Walls, Lesley (Principal Investigator) Quigley, John (Co-investigator)
Period 01-Oct-2012 - 31-Mar-2017
KTP-Scottish Water
Walls, Lesley (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Barlow, Euan (Co-investigator) Quigley, John (Co-investigator) Revie, Matthew (Co-investigator)
Period 08-Feb-2016 - 07-Feb-2018
Adapting to vulnerabilities in the transportation system's critical infrastructure: drawing lessons for risk governance from the redecking of the Macdonald Suspension Bridge in Halifax
Quigley, John (Researcher) Walls, Lesley (Researcher) Burns, Calvin (Researcher)
Beginning in August 2015, Halifax Harbour Bridges (HHB) will undertake an 18-month, $150-million project to re-deck the suspended spans of the Macdonald Bridge. It is the second time in history the suspended spans of a bridge have been replaced at night and in use during the day. The impact will be significant---up to 48,000 vehicles, 700 cyclists and 750 pedestrians cross the Bridge every day---yet the consequences of disruption to the Macdonald Bridge have never been studied. What constitutes 'critical infrastructure' (CI) and how we manage it are deeply embedded in social context (Boholm, 2012). The HHB's assumption of control over the project exemplifies a rationalist's bias: the project is being led by engineering firms; there is little community, and no social media planning; Bridge re-decking meetings are reserved for government regulators and CI owners and operators. To date, other than putting shuttle buses at the Bridge, the city has few plans for Bridge users. When re-decking begins, the impact will be felt broadly: people who use the Bridge off-peak will be under increased stress, particularly those who work non-standard work hours and disadvantaged groups with the least capacity to adapt, including low-income workers, the ill and elderly; there will be increased media coverage and a broader interpretation of a major CI event that is occurring in plain view in the Halifax Harbour. The International Risk Governance Council's (IRGC) framework is a tool for developing a holistic approach to risk governance (Renn, 2008). Risk governance can be defined as the totality of actors, rules, conventions, processes and mechanisms concerned with how relevant risk information is collected, analyzed and communicated, and management decisions are taken. That different risk traditions exist, use different methods and tools and have different interpretations of events is not new. What is less clear, however, is how these competing rationales are acknowledged, accommodated and reconciled (or rejected) in a successful risk governance process. Equally, the model assumes a degree of consistency in the social context; less has been written about how the model can help us to understand a dynamic process in which the key issues are reframed from complex to uncertain to ambiguous (Renn, 2008), and how this re-framing influences human behaviour and risk processes. The purpose of this research is threefold: (1) to understand the socioeconomic implications of restricting access to the Macdonald Bridge for extended periods; (2) to make recommendations about how communities can coordinate more effectively when infrastructure is disabled for extended periods; and (3) to make a contribution to the risk governance literature, examining competing risk rationales and risk tolerance and acceptance, in particular. We believe this a powerful learning opportunity for those studying the fuzzy concept of 'Smart City.' We have assembled an international multi-disciplinary team of risk specialists, with expertise in risk perception, risk modeling, urban planning, social media and institutional responses to risk.
Period 21-May-2015 - 21-May-2018

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