Techniques for human reliability evaluation

Bolt, H.M.; Morris, James E.; Pedrali, M.; Antão, Pedro

doi:10.1201/b10572-16

Cited by 7 publications

(6 citation statements)

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“…26 Today, there are different techniques for determining human reliability. 27 However, most techniques involve calculating the HEP value to determine a particular operation’s possible fault/error level. In general, to define human reliability in maritime studies; a technique for human event analysis (ATHEANA), cognitive reliability and error analysis method (CREAM), human error assessment technique reduction (HEART), success likelihood index method (SLIM), a technique for human error reliability prediction (THERP) methods were used.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Estimating human error probability in transporting steel cargo with bulk carriers using a hybrid approach

Kaptan

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Maritime operations include potential human-made hazards. For this reason, evaluating human-made hazards for cost-effective ship management is of vital importance in the maritime industry. From past to present, researchers have attempted to offer preventive approaches to minimise human-made hazards. In this context, the present article proposes a hybrid approach through the integration of the Delphi, Analytic Hierarchy Process (AHP) and Human Error Assessment and Reduction Technique (HEART) methods. With this approach, human-made claims occurring during the handling and transport of steel cargo in bulk carriers were analysed. The outputs of the present article contribute to the improvement of overall safety levels of steel cargo and bulk carriers by considering the potential hazards in risk management.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Estimating human error probability in transporting steel cargo with bulk carriers using a hybrid approach

Kaptan

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…The situation of this database is typical of many accident databases in many countries. To improve this situation it is necessary to model the ship accidents as a sequence of events in which human factors are taken in proper consideration . This can be done using established approaches such as the CASMET methodology or the TRACER for example.…”

Section: Accident Data Statisticsmentioning

confidence: 99%

Maritime Transportation Risk Assessment of Tianjin Port with Bayesian Belief Networks

et al. 2016

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This article develops a Bayesian belief network model for the prediction of accident consequences in the Tianjin port. The study starts with a statistical analysis of historical accident data of six years from 2008 to 2013. Then a Bayesian belief network is constructed to express the dependencies between the indicator variables and accident consequences. The statistics and expert knowledge are synthesized in the Bayesian belief network model to obtain the probability distribution of the consequences. By a sensitivity analysis, several indicator variables that have influence on the consequences are identified, including navigational area, ship type and time of the day. The results indicate that the consequences are most sensitive to the position where the accidents occurred, followed by time of day and ship length. The results also reflect that the navigational risk of the Tianjin port is at the acceptable level, despite that there is more room of improvement. These results can be used by the Maritime Safety Administration to take effective measures to enhance maritime safety in the Tianjin port.

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“…Hetherington [2] and Bolt [3] reviewed different types of methods for human reliability analysis, and summarized that each technique should be carefully chosen in practice according to the context.…”

Section: Introductionmentioning

confidence: 99%

A sequential barrier-based model to evaluate human reliability in maritime accident process

Soares

Zhan

et al. 2015

2015 International Conference on Transportation Information and Safety (ICTIS)

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Human reliability is considered as the predominant causation factor in maritime accidents. The previous researches on human reliability analysis are reviewed in this paper, although these works have benefited us a lot in accident prevention, few researches focused on the human reliability in the developing stages of maritime accident process. This paper first thoroughly reviews the existing sequential accident process models, including the Swiss cheese model, accident causation model, risk-scenario based model, then the strengths and weakness of these models are compared with each other. To make a feasible and reasonable assessment on the human reliability, a sequential safety barrier-based model which includes four safety barriers are proposed by incorporating the safety barrier (SB) and risk scenario together. Moreover, the failure modes of different safety barriers, which consider the difficulty of these barriers' implementation, are also presented to further analyze the human reliability. The developing states, including initiating state (IE), mid states (MS), and end state (ES), and accident scenario of different types of accidents are also proposed under the framework of sequential safety barriers. Finally, this proposed model is introduced to investigate 97 maritime accident reports issued by Maritime Safety Administration (MSA) of China from 2000 to 2010. The result reveals that majority of the maritime accidents can be analyzed by the proposed accident process model (91.8%, N=97). It also demonstrates that different measures in terms of developing stages should be adopted to enhance the human reliability in the maritime accident process. Moreover, multiple correspondence analysis (MCA) reveals that human error is closely related with the catastrophic accident; moreover, it also demonstrates that majority of the accidents can be prevented or even avoided in the earlier stages.

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Techniques for human reliability evaluation

Cited by 7 publications

References 0 publications

Estimating human error probability in transporting steel cargo with bulk carriers using a hybrid approach

Estimating human error probability in transporting steel cargo with bulk carriers using a hybrid approach

Maritime Transportation Risk Assessment of Tianjin Port with Bayesian Belief Networks

A sequential barrier-based model to evaluate human reliability in maritime accident process

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