Author(s)

Ahmad BahooToroody¹, Mohammad Mahdi Abaiee², Reza Gholamnia^3*, Mohammad Bahoo Torody⁴, Nastaran Hekmat Nejad⁵

¹Faculty of Engineering, Kar Higher Education Institute of Qazvin, Qazvin, Iran.
²Faculty of Marine Technology, Amirkabir University of Technology, Tehran, Iran.
³School of Health Safety and Environment, Shahid Beheshti University of Medical Science, Tehran, Iran.
⁴Faculty of Engineering, Azad University of Zanjan, Zanjan, Iran.
⁵Faculty of Engineering, Kar Higher Education Institute of Qazvin, Qazvin, Iran.

Human error plays a pivotal rule in all aspects of engineering activities such as operation, maintenance, design, inspection and installation. Industries are faced up to various significant human errors and consequently irrecoverable loss each year, but still there is a lack of heeds to qualify as well as quantify such errors. This paper tries to estimate the probability of failure in lifting of light structures in sea by considering human errors. To do this, a strong qualifying tool such as Functional Resonance Analysis Method (FRAM) is applied to develop high risk accident scenario by considering non-linear socio-technical interaction in system. Afterwards, human error probability is calculated for each activity using the Success Likelihood Index Method (SLIM) based on resonance that is carried out in FRAM network. Then Event Tree (ET) is conducted to assess consequences. The present study is aimed to interpret the importance of attentions to qualitative methods in implementing quantitative risk analyses to consider human error in calculation. The final outcome depicts that considering human error in the process of risk assessment will result in more accuracy and reliability in final Risk Probability Number (RPN). The developed methodology has been applied to a case study of an offshore installation.

Risk-Based Assessment, Probability of Failure, Accident Scenario, FRAM, SLIM, ET

BahooToroody, A. , Abaiee, M. , Gholamnia, R. , Torody, M. and Nejad, N. (2016) Developing a Risk-Based Approach for Optimizing Human Reliability Assessment in an Offshore Operation. Open Journal of Safety Science and Technology, 6, 25-34. doi: 10.4236/ojsst.2016.61003.