Ashraf Labib

Professor of Operations and Decision Analysis, University of Portsmouth

Ashraf is a Professor at Portsmouth Business School (PBS). He served as Associate Dean for Research and has been the Director of the DBA Programme at PBS. His main research interest lies in the field of Operational Research and Decision Analysis.

Prior to joining Portsmouth Business School, he was a Senior Lecturer in the Manufacturing Division of the Department of Mechanical, Aerospace and Manufacturing Engineering at UMIST (University of Manchester Institute of Science and Technology). He is a Fellow of the Operational Research Society (ORS), a Fellow of the IET and a Chartered Engineer.

He published over 130-refereed papers in professional journals and international conferences proceedings, with H-index of 23. He published a book on Learning from Failures: Decision Analysis of Major Disasters (2014). He received four awards: 1999, 2000, 2008, and 2012 “Highly Commended” awards for four published papers from the Literati Club, MCB Press (a publisher of 140 journals).

He served as the Associate Editor of IEEE Transactions SMC (Systems, Man, and Cybernetics). He teaches a Masters level course on Crisis and Risk Management.

He is active in attracting research-funded projects from EPSRC (2 awards), ESRC (1 award), European Commission (3 awards) and numerous funding from industry.

Personal webpage

Recent Publications

  • Hu, Q., Chakhar, S., Siraj, S., Labib, A., Spare parts classification in industrial manufacturing using the dominance-based rough set approach, European Journal of Operational Research (accepted, 2017).
  • Jandoubi,S., Bahri, A., Ayadi, N.Y., Chakhar, S., and Labib., A., Modelling, representation and implementation of imperfect information for an enhanced exploration of large databases, Journal of Decision Systems, pp 1-18, (2016).
  • Yunusa-Kaltungo, Aakilu, and Labib, Ashraf, Investigation of critical failures using root cause analysis methods: Case study of ASH Cement PLC, Engineering Failure Analysis, Vol 73, (2017).
  • Dinmohammadi, F., Babakalli, A., Shafiee, M., Bérenguer, C., Labib, A., Risk Evaluation of Railway Rolling Stock Failures using FMECA Technique: A Case Study of Passenger Door System, Journal of Urban Rail Transit (2016).
  • Poplawska, J., Labib, A., Reed, D., From vicious to virtuous circles: problem structuring for quantified decision making in operationalization of Corporate Social Responsibility, Journal of the Operational Research Society (2016)
  • Chakhar, S., Ishizaka, A., Labib, A., Saad, I., Dominance-based Rough Set Approach for Group Decisions, European Journal of Operational Research, Vol 251, pp206-224, 2016.
  • Labib, A., and Read, M., A Hybrid Model for Learning from Failures: the Hurricane Katrina Disaster, Expert Systems With Applications, Vol 42, pp7869-7881, (2015).
  • Labib, Ashraf, Learning (and Unlearning) from Failures: 30 Years on from Bhopal to Fukushima an Analysis through Reliability Engineering Techniques, Process Safety and Environmental Protection, 97, 80-90, (2015).
  • Poplawska, J., Labib, A., Reed, D., Ishizaka, A., A dynamic framework for stakeholder identification and salience measurement using fuzzy logic methodology applied to a corporate social responsibility case study, Journal of Cleaner Production, 105, pp 103-115, (2015).
  • Poplawska, J., Labib, A., Reed, D., A hybrid multiple criteria decision analysis framework for corporate social responsibility implementation applied to an extractive industry case study, Journal of the Operational Research Society Vol 66, No 9, 1491-1505, (2015).
  • Labib, Ashraf, and Harris, John, Learning how to learn from failures: the Fukushima nuclear disaster, Engineering Failure Analysis, 47, 117–128 (2015).
  • Labib, Ashraf, Learning from Failures: Decision Analysis of Major Disasters, Butterworth-Heinemann, Oxford, 450 p, 2014, ISBN 9780124167278 (www.store.elsevier.com/9780124167278).

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