A new methodology to integrate human factors analysis and classification system with Bayesian Network

Yan Fu Wang; Shahrzad Faghih Roohi; Xiu Ming Hu; Min Xie

doi:10.1109/IEEM.2010.5674564

A new methodology to integrate human factors analysis and classification system with Bayesian Network

Yan Fu Wang^*
, Shahrzad Faghih Roohi
, Xiu Ming Hu
, Min Xie

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

14 Citations (Scopus)

Abstract

In this paper, a new methodology, which integrates human factors analysis and classification system (HFACS) with Bayesian Network (BN), is proposed to assess the contribution of human and organizational factors in maritime accidents. As a means of making up the lack of quantitative analysis within HFACS, the integration of BN and fuzzy analytical hierarchy process (AHP) have been selected to estimate quantitatively the contribution of human error to the accident. At the same time, the HFACS' 4-level structure provides a systematic guideline in the construction of the BN to model how human errors are related to form a network. Fuzzy AHP and decomposition method are applied to estimate the conditional probabilities of BN, which is more efficient manner and can reduce subjective biases. A case study of ship collision showed that the method is more flexible to seek out the critical latent human and organizational errors using the advantages of both techniques. ©2010 IEEE.

Original language	English
Title of host publication	IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	1776-1780
DOIs	https://doi.org/10.1109/IEEM.2010.5674564
Publication status	Published - 2010
Externally published	Yes
Event	2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010) - Venetian Macao Resort Hotel, Macao, China Duration: 7 Dec 2010 → 10 Dec 2010

Conference

Conference	2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010)
Place	China
City	Macao
Period	7/12/10 → 10/12/10

Research Keywords

Bayesian Network
Fuzzy analytical hierarchy process
Human factors analysis and classification system

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10.1109/IEEM.2010.5674564

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@inproceedings{9598fbdcb60643819f188001b0ebe8f4,

title = "A new methodology to integrate human factors analysis and classification system with Bayesian Network",

abstract = "In this paper, a new methodology, which integrates human factors analysis and classification system (HFACS) with Bayesian Network (BN), is proposed to assess the contribution of human and organizational factors in maritime accidents. As a means of making up the lack of quantitative analysis within HFACS, the integration of BN and fuzzy analytical hierarchy process (AHP) have been selected to estimate quantitatively the contribution of human error to the accident. At the same time, the HFACS' 4-level structure provides a systematic guideline in the construction of the BN to model how human errors are related to form a network. Fuzzy AHP and decomposition method are applied to estimate the conditional probabilities of BN, which is more efficient manner and can reduce subjective biases. A case study of ship collision showed that the method is more flexible to seek out the critical latent human and organizational errors using the advantages of both techniques. {\textcopyright}2010 IEEE.",

keywords = "Bayesian Network, Fuzzy analytical hierarchy process, Human factors analysis and classification system",

author = "Wang, \{Yan Fu\} and Roohi, \{Shahrzad Faghih\} and Hu, \{Xiu Ming\} and Min Xie",

year = "2010",

doi = "10.1109/IEEM.2010.5674564",

language = "English",

isbn = "9781424485031",

pages = "1776--1780",

booktitle = "IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management",

note = "2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010) ; Conference date: 07-12-2010 Through 10-12-2010",

}

Wang, YF, Roohi, SF, Hu, XM & Xie, M 2010, A new methodology to integrate human factors analysis and classification system with Bayesian Network. in IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management., 5674564, pp. 1776-1780, 2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010), Macao, China, 7/12/10. https://doi.org/10.1109/IEEM.2010.5674564

A new methodology to integrate human factors analysis and classification system with Bayesian Network. / Wang, Yan Fu; Roohi, Shahrzad Faghih; Hu, Xiu Ming et al.
IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management. 2010. p. 1776-1780 5674564.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A new methodology to integrate human factors analysis and classification system with Bayesian Network

AU - Wang, Yan Fu

AU - Roohi, Shahrzad Faghih

AU - Hu, Xiu Ming

AU - Xie, Min

PY - 2010

Y1 - 2010

N2 - In this paper, a new methodology, which integrates human factors analysis and classification system (HFACS) with Bayesian Network (BN), is proposed to assess the contribution of human and organizational factors in maritime accidents. As a means of making up the lack of quantitative analysis within HFACS, the integration of BN and fuzzy analytical hierarchy process (AHP) have been selected to estimate quantitatively the contribution of human error to the accident. At the same time, the HFACS' 4-level structure provides a systematic guideline in the construction of the BN to model how human errors are related to form a network. Fuzzy AHP and decomposition method are applied to estimate the conditional probabilities of BN, which is more efficient manner and can reduce subjective biases. A case study of ship collision showed that the method is more flexible to seek out the critical latent human and organizational errors using the advantages of both techniques. ©2010 IEEE.

AB - In this paper, a new methodology, which integrates human factors analysis and classification system (HFACS) with Bayesian Network (BN), is proposed to assess the contribution of human and organizational factors in maritime accidents. As a means of making up the lack of quantitative analysis within HFACS, the integration of BN and fuzzy analytical hierarchy process (AHP) have been selected to estimate quantitatively the contribution of human error to the accident. At the same time, the HFACS' 4-level structure provides a systematic guideline in the construction of the BN to model how human errors are related to form a network. Fuzzy AHP and decomposition method are applied to estimate the conditional probabilities of BN, which is more efficient manner and can reduce subjective biases. A case study of ship collision showed that the method is more flexible to seek out the critical latent human and organizational errors using the advantages of both techniques. ©2010 IEEE.

KW - Bayesian Network

KW - Fuzzy analytical hierarchy process

KW - Human factors analysis and classification system

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U2 - 10.1109/IEEM.2010.5674564

DO - 10.1109/IEEM.2010.5674564

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424485031

SP - 1776

EP - 1780

BT - IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - 2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2010)

Y2 - 7 December 2010 through 10 December 2010

ER -

A new methodology to integrate human factors analysis and classification system with Bayesian Network

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