Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework

碩士 === 國立臺灣海洋大學 === 商船學系 === 102 === A series of researches show that most marine accidents related to human factors. It is also said that the effectiveness of the countermeasure which can avoid the similar accidents from happening again depend on how to dig out the latent conditions which have lied...

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Main Authors: Chou, Yu-Hsin, 周毓欣
Other Authors: Chen, Shih-Tzung
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/u65d8y
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spelling ndltd-TW-102NTOU57280092019-05-15T21:51:45Z http://ndltd.ncl.edu.tw/handle/u65d8y Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework 以HFACS-MA架構發展海難事故人因量化方法之研究 Chou, Yu-Hsin 周毓欣 碩士 國立臺灣海洋大學 商船學系 102 A series of researches show that most marine accidents related to human factors. It is also said that the effectiveness of the countermeasure which can avoid the similar accidents from happening again depend on how to dig out the latent conditions which have lied dormant in the system and those critical factors contributing to the accident. However, those human factors should not be only considered as the errors or mistakes made by the sharp end personnel, but also as the erroneous supervisions or decisions made by the managers of the organization. Although a prior study has proposed a framework and relative analysis method named Human Factors Analysis and Classification System for Maritime Accident (HFACS-MA), which is based on the International Maritime Organization (IMO) guidelines for investigating the human factors in marine casualties and incidents, Human Factors Analysis and Classification System (HFACS), Systemic Occurrence Analysis Methodology (SOAM), Why-Because Analysis (WBA) etc., a single case can be analyzed only and lacking of the mechanism sieving out the critical human factors of the accidents are the deficiencies of the method. Therefore, this study, which is based on HFACS-MA, proposes an alternative in which the systematic analysis procedure is divided into four parts, including a comparative analysis process to find out the common human factors between two relevant cases. Furthermore, by applying Bayesian Network (BN) technique, the qualitative analysis results can be transformed into a BN, and then carry out the quantitative analysis, for spotting the critical human factors of the accidents. By analyzing three marine accidents, this study has found that the diagrams and charts obtained via the proposed methodology can not only allow the relevant personnel to quickly understand the context of the accidents in a short period of time, but also allow investigators to spot the deficiencies during the process of investigation. In addition, the innovation of the comparative analysis process of the methodology, which is capable to sieve out the common factors between accidents, can help the decision maker to fast focus on the common causal factors of the accidents. Finally, by transferring the qualitative analysis results into a BN form for quantitative analysis, the investigators are able to further highlight the critical factors leading to the accidents. This article has proved that the marine accidents analyzed through the proposed methodology will have benefits in finding the most hidden systemic factors and critical human factors of the accidents. Chen, Shih-Tzung 陳世宗 2013 學位論文 ; thesis 183 zh-TW
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description 碩士 === 國立臺灣海洋大學 === 商船學系 === 102 === A series of researches show that most marine accidents related to human factors. It is also said that the effectiveness of the countermeasure which can avoid the similar accidents from happening again depend on how to dig out the latent conditions which have lied dormant in the system and those critical factors contributing to the accident. However, those human factors should not be only considered as the errors or mistakes made by the sharp end personnel, but also as the erroneous supervisions or decisions made by the managers of the organization. Although a prior study has proposed a framework and relative analysis method named Human Factors Analysis and Classification System for Maritime Accident (HFACS-MA), which is based on the International Maritime Organization (IMO) guidelines for investigating the human factors in marine casualties and incidents, Human Factors Analysis and Classification System (HFACS), Systemic Occurrence Analysis Methodology (SOAM), Why-Because Analysis (WBA) etc., a single case can be analyzed only and lacking of the mechanism sieving out the critical human factors of the accidents are the deficiencies of the method. Therefore, this study, which is based on HFACS-MA, proposes an alternative in which the systematic analysis procedure is divided into four parts, including a comparative analysis process to find out the common human factors between two relevant cases. Furthermore, by applying Bayesian Network (BN) technique, the qualitative analysis results can be transformed into a BN, and then carry out the quantitative analysis, for spotting the critical human factors of the accidents. By analyzing three marine accidents, this study has found that the diagrams and charts obtained via the proposed methodology can not only allow the relevant personnel to quickly understand the context of the accidents in a short period of time, but also allow investigators to spot the deficiencies during the process of investigation. In addition, the innovation of the comparative analysis process of the methodology, which is capable to sieve out the common factors between accidents, can help the decision maker to fast focus on the common causal factors of the accidents. Finally, by transferring the qualitative analysis results into a BN form for quantitative analysis, the investigators are able to further highlight the critical factors leading to the accidents. This article has proved that the marine accidents analyzed through the proposed methodology will have benefits in finding the most hidden systemic factors and critical human factors of the accidents.
author2 Chen, Shih-Tzung
author_facet Chen, Shih-Tzung
Chou, Yu-Hsin
周毓欣
author Chou, Yu-Hsin
周毓欣
spellingShingle Chou, Yu-Hsin
周毓欣
Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
author_sort Chou, Yu-Hsin
title Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
title_short Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
title_full Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
title_fullStr Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
title_full_unstemmed Development of a quantitative method evaluating human factors in marine casualties using HFACS-MA framework
title_sort development of a quantitative method evaluating human factors in marine casualties using hfacs-ma framework
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/u65d8y
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