J
John Quigley
Researcher at University of Strathclyde
Publications - 134
Citations - 2073
John Quigley is an academic researcher from University of Strathclyde. The author has contributed to research in topics: Reliability (statistics) & Risk management. The author has an hindex of 24, co-authored 119 publications receiving 1747 citations. Previous affiliations of John Quigley include University of Glasgow.
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Project complexity and risk management (ProCRiM) : towards modelling project complexity driven risk paths in construction projects
TL;DR: In this article, the authors propose a new process that aids capturing interdependency between project complexity, complexity induced risks and project objectives, and consider the decision problem of identifying critical risks and selecting optimal risk mitigation strategies at the commencement stage of a project.
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Supply chain risk network management : a Bayesian belief network and expected utility based approach for managing supply chain risks
TL;DR: A supply chain risk network management process that captures interdependencies between risks, multiple (potentially conflicting) performance measures and risk mitigation strategies within a (risk) network setting is developed and operationalised.
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Bayesian belief nets for managing expert judgement and modelling reliability
TL;DR: An overview of Bayesian belief nets is presented and their use through a simple tutorial on system reliability modelling is illustrated and the challenge of using BBNs in reliability practice is explored.
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Systemic risk elicitation: Using causal maps to engage stakeholders and build a comprehensive view of risks
TL;DR: The modelling process helps managers to develop a comprehensive appreciation of risks and gain an understanding of the impact of the interactions between these risks through explicitly engaging a wide stakeholder base using a group support system and causal mapping process.
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Building prior distributions to support Bayesian reliability growth modelling using expert judgement
Lesley Walls,John Quigley +1 more
TL;DR: An elicitation process that is developed to ensure valid data are collected is described by suggesting how possible bias might be identified and managed and practical guidance concerning its implementation during reliability growth testing is given.