A modified CREAM to human reliability quantification in marine engineering

Yang, Zaili; Bonsall, Stephen; Wall, Alan; Wang, J.; Usman, Muhammad

doi:10.1016/j.oceaneng.2012.11.003

Cited by 132 publications

(125 citation statements)

References 14 publications

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“…Actually, many methods have been introduced in this process, such as using expert judgments and membership functions Yang et al, 2013). The former method makes judgments on each linguistic variable (always four in practice) with several categories, specifically seven linguistic variables were adopted by (Wang, 2000).…”

Section: Fuzzify the Input And Output Variables Using A Cumulative Prmentioning

confidence: 99%

Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

Yan

Wang

et al. 2016

Safety Science

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Section: Fuzzify the Input And Output Variables Using A Cumulative Prmentioning

confidence: 99%

Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

Yan

Wang

et al. 2016

Safety Science

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“…The aim of the paper is to predict marine HEP during ship to ship collision. Moreover, an illustrative example analysing cargo oil pump shut down scenario in oil tanker was applied by Yang et al (2013). The paper introduces a modified Fuzzy CREAM methodology integrated with Bayesian reasoning model.…”

Section: Literature Reviewmentioning

confidence: 99%

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

Akyüz

Celik

2015

Safety Science

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“…For instance, Yang et al (2013) discussed a modified CREAM method by integrating Bayesian reasoning model. The method was demonstrated with an illustrative example of analysing an oil tanker cargo oil pump shut down scenario.…”

Section: Literature Reviewmentioning

confidence: 99%

Computer-Based Human Reliability Analysis Onboard Ships

Akyüz

Celik

2015

Procedia - Social and Behavioral Sciences

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Human performance monitoring has become a core matter of maritime industry since crew error ratios cannot be reduced to the desired level. This study develops an approach to conduct human reliability analysis (HRA) via knowledge-based system in order to minimize the operational problems that may arise from human errors on-board ships. The model base of the system takes the advantage of human error assessment and reduction technique (HEART) which is robust tool in reliability assessment. The main role of programming language in the system is to transform operational task scenarios in database into meaningful information to quantify two key parameters (i.e. GTT, EPC) sensitively. The system is expected to support shipboard organizations to monitor, identify, prioritize and implement the remedial measures to mitigate the human error in ship operational level. The aim of this article is to provide advance support through the WP#4 (Model Development) and WP#6 (Application Interface Design) of the research project entitled "Human Reliability Analysis and Monitoring System Proposal in Shipboard Operations (H-RAMS)" (Project no: 114M352) supported by the Scientific and Technological Research Council of Turkey (TUBITAK). In consequent, the study has both methodological and practical values in knowledge based systems and ship operations modeling.

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A modified CREAM to human reliability quantification in marine engineering

Cited by 132 publications

References 14 publications

Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

Selection of maritime safety control options for NUC ships using a hybrid group decision-making approach

A methodological extension to human reliability analysis for cargo tank cleaning operation on board chemical tanker ships

Computer-Based Human Reliability Analysis Onboard Ships

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