Identifying the Most Probable Human Errors Influencing Maritime Safety
In the traditional and extended shipboard operation human reliability analysis (SOHRA) model, the error-producing condition (EPC) is critical. The weight and proportion of each EPC in one specific task are often determined by the experts’ judgments, including most of the modified versions. Due to th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/1/14 |
| _version_ | 1797440413567549440 |
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| author | Xiaofei Ma Guoyou Shi Weifeng Li Jiahui Shi |
| author_facet | Xiaofei Ma Guoyou Shi Weifeng Li Jiahui Shi |
| author_sort | Xiaofei Ma |
| collection | DOAJ |
| description | In the traditional and extended shipboard operation human reliability analysis (SOHRA) model, the error-producing condition (EPC) is critical. The weight and proportion of each EPC in one specific task are often determined by the experts’ judgments, including most of the modified versions. Due to this subjectivity, the result and recommended safety measures may not be as accurate as they should be. This study attempts to narrow the gap by proposing a novel approach, a combination of SOHRA, entropy weight method, and the TOPSIS model. The entropy weight and TOPSIS method are employed to decide the weight of each EPC based on the foundation of the SOHRA model. A cargo-loading operation from a container ship is analyzed to verify this model. The results suggest that the entropy-weighted TOPSIS method can effectively determine the weights of EPCs, and the eight most probable human errors are identified. |
| first_indexed | 2024-03-09T12:07:50Z |
| format | Article |
| id | doaj.art-8e8919b87a5b4873aac55447ea242471 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T12:07:50Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-8e8919b87a5b4873aac55447ea2424712023-11-30T22:55:59ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-12-011111410.3390/jmse11010014Identifying the Most Probable Human Errors Influencing Maritime SafetyXiaofei Ma0Guoyou Shi1Weifeng Li2Jiahui Shi3Navigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaIn the traditional and extended shipboard operation human reliability analysis (SOHRA) model, the error-producing condition (EPC) is critical. The weight and proportion of each EPC in one specific task are often determined by the experts’ judgments, including most of the modified versions. Due to this subjectivity, the result and recommended safety measures may not be as accurate as they should be. This study attempts to narrow the gap by proposing a novel approach, a combination of SOHRA, entropy weight method, and the TOPSIS model. The entropy weight and TOPSIS method are employed to decide the weight of each EPC based on the foundation of the SOHRA model. A cargo-loading operation from a container ship is analyzed to verify this model. The results suggest that the entropy-weighted TOPSIS method can effectively determine the weights of EPCs, and the eight most probable human errors are identified.https://www.mdpi.com/2077-1312/11/1/14human errorloading operationship safetyshipboard operation human reliability analysisentropy-weighted TOPSIS method |
| spellingShingle | Xiaofei Ma Guoyou Shi Weifeng Li Jiahui Shi Identifying the Most Probable Human Errors Influencing Maritime Safety Journal of Marine Science and Engineering human error loading operation ship safety shipboard operation human reliability analysis entropy-weighted TOPSIS method |
| title | Identifying the Most Probable Human Errors Influencing Maritime Safety |
| title_full | Identifying the Most Probable Human Errors Influencing Maritime Safety |
| title_fullStr | Identifying the Most Probable Human Errors Influencing Maritime Safety |
| title_full_unstemmed | Identifying the Most Probable Human Errors Influencing Maritime Safety |
| title_short | Identifying the Most Probable Human Errors Influencing Maritime Safety |
| title_sort | identifying the most probable human errors influencing maritime safety |
| topic | human error loading operation ship safety shipboard operation human reliability analysis entropy-weighted TOPSIS method |
| url | https://www.mdpi.com/2077-1312/11/1/14 |
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