Marine Pilot’s Reliability Index (MPRI): Evaluation of marine pilot reliability in uncertain environments

This paper proposes a hybrid human reliability analysis model, comprised of qualitative and quantitative approaches, to measure the pilot performance for accident prevention in ports. The first part of this research is a qualitative investigation aimed at developing marine pilot reliability indexes (MPRIs) by conducting field observation, semi-structured focus-group interviews, and accident data analysis at ports. The results from the first part aid the identification of the key players involved in pilotage operations and the main factors influencing pilot reliability. To examine the impact of the identified factors in shaping pilot reliability, the Delphi approach is used in the second part of the study. The Delphi approach allows for the development of a MPRI agreed upon by experts. In the third part, an Analytical Hierarchy Process (AHP) is used to rank the importance of each identified MPRI. It is followed by an empirical assessment of the reliability of a marine pilot under uncertainty using Fuzzy Evidential Reasoning (FER). Three senior marine pilots in one of the major marine ports in the Middle East region are assessed using the developed MPRI model. The results reveal the novelty of this assessment tool in offering an effective and flexible reliability assessment and diagnostic instrument for decision makers to predict the reduction of pilot reliability.

[1]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[2]  J Reason,et al.  The contribution of latent human failures to the breakdown of complex systems. , 1990, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[3]  Andrew P. Smith,et al.  Fatigue and health in a seafaring population. , 2008, Occupational medicine.

[4]  Lynne Martin,et al.  Development of the NOTECHS (non-technical skills) system for assessing pilots’ CRM skills , 2018, Human Factors and Aerospace Safety.

[5]  David J. Carrington,et al.  Leaders' sensemaking under crises: Emerging cognitive consensus over time within management teams , 2015 .

[6]  H. Thierry,et al.  The effects of extended workdays on fatigue, health, performance and satisfaction in nursing. , 2003, Journal of advanced nursing.

[7]  Kathryn Mearns,et al.  Stress, Fatigue, Situation Awareness and Safety in Offshore Drilling Crews , 2013 .

[8]  Steven Yule,et al.  Surgeons' non-technical skills. , 2012, The Surgical clinics of North America.

[9]  Heinz Peter Berg Human Factors and Safety Culture in Maritime Safety (revised) , 2013 .

[10]  Ian Jenkinson,et al.  A seafarer’s reliability assessment incorporating subjective judgements , 2012 .

[11]  Kathryn Mearns,et al.  Safety in shipping: the human element. , 2006, Journal of safety research.

[12]  David Walters,et al.  Worker representation in health and safety: options for regulatory reform , 2002 .

[13]  P. F. Frutuoso e Melo,et al.  A critical review of methods and models for evaluating organizational factors in Human Reliability Analysis , 2014 .

[14]  Michael C. Sturman,et al.  Searching for the Inverted U-Shaped Relationship Between Time and Performance: Meta-Analyses of the Experience/Performance, Tenure/Performance, and Age/Performance Relationships , 2003 .

[15]  S. Hamstra,et al.  Nontechnical Skills in Anesthesia Crisis Management with Repeated Exposure to Simulation-based Education , 2005, Anesthesiology.

[16]  Claire Pekcan,et al.  Non-technical skills : the vital ingredient in world maritime technology ? , 2006 .

[17]  F. Hasson,et al.  A critical review of the Delphi technique as a research methodology for nursing. , 2001, International journal of nursing studies.

[18]  Laurent Papazian,et al.  Burnout syndrome among critical care healthcare workers , 2007, Current opinion in critical care.

[19]  F. Rabiee Focus-group interview and data analysis , 2004, Proceedings of the Nutrition Society.

[20]  Rhona Flin,et al.  Developing a Method for Evaluating Crew Resource Management Skills: A European Perspective , 2002 .

[21]  Simona Ronchi Della Rocca,et al.  λ Δ -Models , 2004 .

[22]  Theo Notteboom,et al.  Revisiting port performance measurement : a hybrid multi-stakeholder framework for the modelling of port performance indicators , 2017 .

[23]  S. G. Kariuki,et al.  Integrating human factors into process hazard analysis , 2007, Reliab. Eng. Syst. Saf..

[24]  Rhona Flin,et al.  Rating non-technical skills: developing a behavioural marker system for use in anaesthesia , 2004, Cognition, Technology & Work.

[25]  Jin Wang,et al.  Technology and Safety of Marine Systems , 2003 .

[26]  Zaili Yang,et al.  Modelling port choice in an uncertain environment , 2014 .

[27]  A. Bryman Integrating quantitative and qualitative research: how is it done? , 2006 .

[28]  Ian Jenkinson,et al.  A proposed methodology for assessing the reduction of a seafarer’s performance with insufficient recuperative rest , 2013 .

[29]  Jin Wang,et al.  Modified failure mode and effects analysis using approximate reasoning , 2003, Reliab. Eng. Syst. Saf..

[30]  Jin Wang,et al.  An advanced risk analysis approach for container port safety evaluation , 2014 .

[31]  Jian-Bo Yang,et al.  Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties , 2001, Eur. J. Oper. Res..

[32]  Ara Darzi,et al.  A Human Factors Analysis of Technical and Team Skills Among Surgical Trainees During Procedural Simulations in a Simulated Operating Theatre , 2005, Annals of surgery.

[33]  S Bonsall,et al.  Use of Fuzzy Evidential Reasoning in Maritime Security Assessment , 2009, Risk analysis : an official publication of the Society for Risk Analysis.