An integrated method for human error probability assessment during the maintenance of offshore facilities

Abbassi, Rouzbeh; Khan, Faisal; Garaniya, Vikram; Chai, Shuhong; Chin, Christopher; Hossain, Khandoker Abul

doi:10.1016/j.psep.2015.01.010

Cited by 80 publications

(23 citation statements)

References 24 publications

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“…Therefore, it can be concluded that the human reliability, plays a major role in the safe performance of individual and subsequently in the safe operation of the process industries . Human Reliability Analysis (HRA) is an analysis technique based on human performance studies and considers many Human Reliability Influencing Factors (HRIFs) in order to predict human performance in contributing to accidents, error, and risk of tasks .…”

Section: Introductionmentioning

confidence: 99%

Efficiency prediction of control room operators based on human reliability analysis and dynamic decision-making style in the process industry

et al. 2015

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Process industries have a potential for the occurrence of major accidents. These accidents can have severe adverse effects on human health and the environment and they can cause extensive damage to equipment and buildings. During major process upsets, central control rooms are among the most stressful workplaces in the world. Therefore, Human Reliability Analysis and Dynamic Decision‐Making Styles (DDMSs) play an important role in safety management in these industries. This study employs the intelligent Adaptive Neuro Fuzzy Inference System model associated with two questionnaires along with Cognitive Reliability Error Analysis Method to analyze the Human Reliability Influencing Factors (HRIFs) and DDMSs of the control room operators and to determine the efficiency of operators as well as their dominant and efficient decision‐making styles. Nine influencing factors on human reliability and five DDMSs are evaluated and the correlation between the HRIFs is investigated. Efficiency of the operators, according to the HRIFs, is determined and they are ranked. Next, the most dominant and efficient of the DDMSs among the operators was identified. Finally, an intelligent algorithm for determining the efficiency of a control room's operators is developed. © 2015 American Institute of Chemical Engineers Process Saf Prog 35: 192–199, 2016

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Section: Introductionmentioning

confidence: 99%

Efficiency prediction of control room operators based on human reliability analysis and dynamic decision-making style in the process industry

et al. 2015

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“…Researchers [3] , [7] , [8] , [9] , [10] , [11] applied human reliability assessment techniques to several engineering applications [7] , applied this concept to investigating human performance in offshore platform musters [10] , and investigated this technique in pre- and postmaintenance procedures of offshore oil and gas facilities. Recently, Hoboubi et al.…”

Section: Introductionmentioning

confidence: 99%

Human Error Probability Assessment During Maintenance Activities of Marine Systems

Islam

Khan

Abbassi

et al. 2018

Safety and Health at Work

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BackgroundMaintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man–machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance.MethodsThe human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities.ResultsThe developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared.ConclusionThe developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue) or external (i.e., environmental and operational conditions such as weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress) factors.

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“…The Technique of Human Error Rate Prediction (THERP) [4] is a widely used human reliability analysis method. THERP is a very powerful tool for analyzing the reliability of operators who perform testing or repairing tasks in existed procedures [5].…”

Section: Introductionmentioning

confidence: 99%

“…The research on human reliability analysis mainly focuses on nuclear power, aerospace or petrochemical fields [3,4,9,10]. In these areas, the rate of human error is very low, but it often leads to very serious production accidents.…”

Section: Introductionmentioning

confidence: 99%

The Experimental Study on Verifying the Rationality and Weakness of THERP with an Example of Truck Refrigerant Filling Process

Mingming¹,

Guoqi²

2017

J Health Edu Res Dev

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With an example of truck refrigerant filling process, an experimental method by E-prime was used to verify the analysis of human error probability in the refrigerant filling process by The Technique of Human Error Rate Prediction (THERP). The result of the experiment is basically in coincidence with the result of THERP. The weakness of THERP is that it calculates the human error, ignoring the cognitive process of the operation behavior.

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An integrated method for human error probability assessment during the maintenance of offshore facilities

Cited by 80 publications

References 24 publications

Efficiency prediction of control room operators based on human reliability analysis and dynamic decision-making style in the process industry

Efficiency prediction of control room operators based on human reliability analysis and dynamic decision-making style in the process industry

Human Error Probability Assessment During Maintenance Activities of Marine Systems

The Experimental Study on Verifying the Rationality and Weakness of THERP with an Example of Truck Refrigerant Filling Process

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