Project Complexity and Risk Management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects A Qazi, J Quigley, A Dickson, K Kirytopoulos International journal of project management 34 (7), 1183-1198, 2016 | 374 | 2016 |
Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks A Qazi, A Dickson, J Quigley, B Gaudenzi International Journal of Production Economics 196, 24-42, 2018 | 215 | 2018 |
Bayesian belief nets for managing expert judgement and modelling reliability JH Sigurdsson, LA Walls, JL Quigley Quality and reliability engineering international 17 (3), 181-190, 2001 | 190 | 2001 |
Systemic risk elicitation: Using causal maps to engage stakeholders and build a comprehensive view of risks F Ackermann, S Howick, J Quigley, L Walls, T Houghton European Journal of Operational Research 238 (1), 290-299, 2014 | 159 | 2014 |
Building prior distributions to support Bayesian reliability growth modelling using expert judgement L Walls, J Quigley Reliability Engineering & System Safety 74 (2), 117-128, 2001 | 135 | 2001 |
Modelling the reliability of search and rescue operations with Bayesian Belief Networks L Norrington, J Quigley, A Russell, R Van der Meer Reliability Engineering & System Safety 93 (7), 940-949, 2008 | 119 | 2008 |
Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies A Qazi, J Quigley, A Dickson, ŞÖ Ekici European Journal of Operational Research 259 (1), 189-204, 2017 | 114 | 2017 |
Expert elicitation for reliable system design T Bedford, J Quigley, L Walls Statistical Science, 428-450, 2006 | 109 | 2006 |
Elicitation LC Dias, A Morton, J Quigley Springer International Publishing. MR3700912. doi: https://doi. org/10.1007 …, 2018 | 98 | 2018 |
Risk analysis of damaged ships–a data-driven Bayesian approach S Kelangath, PK Das, J Quigley, SE Hirdaris Ships and Offshore Structures 7 (3), 333-347, 2012 | 78 | 2012 |
Supplier quality improvement: The value of information under uncertainty J Quigley, L Walls, G Demirel, BL MacCarthy, M Parsa European journal of operational research 264 (3), 932-947, 2018 | 68 | 2018 |
Estimating rate of occurrence of rare events with empirical bayes: A railway application J Quigley, T Bedford, L Walls Reliability Engineering & System Safety 92 (5), 619-627, 2007 | 65 | 2007 |
Elicitation in the classical model J Quigley, A Colson, W Aspinall, RM Cooke Elicitation: The science and art of structuring judgement, 15-36, 2018 | 63 | 2018 |
Eliciting engineering knowledge about reliability during design‐lessons learnt from implementation R Hodge, M Evans, J Marshall, J Quigley, L Walls Quality and reliability engineering international 17 (3), 169-179, 2001 | 59 | 2001 |
Trading reliability targets within a supply chain using Shapley's value J Quigley, L Walls Reliability Engineering & System Safety 92 (10), 1448-1457, 2007 | 58 | 2007 |
Mixing methodologies to enhance the implementation of healthcare operational research R Sachdeva, T Williams, J Quigley Journal of the Operational Research Society 58 (2), 159-167, 2007 | 56 | 2007 |
Supply Chain Risk Management: Systematic literature review and a conceptual framework for capturing interdependencies between risks A Qazi, J Quigley, A Dickson 2015 International Conference on Industrial Engineering and Operations …, 2015 | 50 | 2015 |
Estimating the probability of rare events: addressing zero failure data J Quigley, M Revie Risk Analysis: An International Journal 31 (7), 1120-1132, 2011 | 43 | 2011 |
Expert judgement combination using moment methods B Wisse, T Bedford, J Quigley Reliability Engineering & System Safety 93 (5), 675-686, 2008 | 36 | 2008 |
Confidence intervals for reliability-growth models with small sample-sizes J Quigley, L Walls IEEE Transactions on Reliability 52 (2), 257-262, 2003 | 36 | 2003 |