Quantitative human reliability analysis for crew during shipping operation

Jianxing Yu , Zunwu Xu , Mingyang Fu

Transactions of Tianjin University ›› 2014, Vol. 20 ›› Issue (5) : 375 -378.

PDF
Transactions of Tianjin University ›› 2014, Vol. 20 ›› Issue (5) : 375 -378. DOI: 10.1007/s12209-014-2288-5
Article

Quantitative human reliability analysis for crew during shipping operation

Author information +
History +
PDF

Abstract

A simplified bi-variable human error probability calculation method is developed by incorporating two common performance condition (CPC) factors, which are modified from factors employed in cognitive reliability and error analysis method (CREAM) to take into account the characteristics of shipping operations. After the influencing factors are identified, Markov method is used to calculate the values of human reliability. The proposed method does not rely on the involvement of experts in the field of human factor nor depend on historical accidents or human error statistics. It is applied to the case of the crew on board of an ocean going dry bulk carrier. The caculated results agree with the actual case, which verifies the validity of the model.

Keywords

cognitive reliability and error analysis method / common performance condition / human error probability / shipping operation

Cite this article

Download citation ▾
Jianxing Yu, Zunwu Xu, Mingyang Fu. Quantitative human reliability analysis for crew during shipping operation. Transactions of Tianjin University, 2014, 20(5): 375-378 DOI:10.1007/s12209-014-2288-5

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Marine Directorate, Department of Transport. The Human Element in Shipping Casualties [M]. HMSO, UK, 1991.

[2]

Eriksson P, Mejia M Q. IMO’S Work on the Human Element in Maritime Safety[R]. 2003, Sweden: Lund University.

[3]

Xie H, Sun Z, Li X, et al. An overview of typical methods for human reliability analysis [J]. Journal of National University of Defense Technology, 2007, 29(2): 101-107.

[4]

Hollnagel E. Cognitive Reliability and Error Analysis Method: CREAM [M]. 1998, UK: Elsevier.

[5]

Hollnagel E. Reliability analysis and operator modelling [J]. Reliability Engineering and System Safety, 1996, 52(3): 327-337.

[6]

Kim M C, Seong P H, Hollnagel E. A probabilistic approach for determining the control mode in CREAM [J]. Reliability Engineering and System Safety, 2006, 91(2): 191-199.

[7]

Marko Cepin. DEPEND-HRA—A method for consideration of dependency in human reliability analysis [J]. Reliability Engineering and System Safety, 2008, 93(10): 1452-1460.

[8]

He X, Wang Y, Shen Z, et al. A simplified CREAM prospective quantification process and its application [J]. Reliability Engineering and System Safety, 2008, 93(2): 298-306.

[9]

Dhillon B S. Human Reliability and Error in Transportation Systems [M]. 2007, UK: Springer.

[10]

Dhillon B S. Human Reliability, Error, and Human Factors in Engineering Maintenance: With Reference to Aviation and Power Generation [M]. 2009, USA: CRC Press.

[11]

Zhang J, Zhang L, Tao Gang. Analysis and study on human reliability [J]. Journal of Safety Science and Technology, 2011, 7(1): 76-81.

AI Summary AI Mindmap
PDF

118

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/