Sulaiman, O. and Saharuddin, A. H. and Kader, Abd. Saman (2012) Human reliability analysis (HRA) emanating from use of technology for ships navigating within coastal area. African Journal of Business Management, 6 (10). pp. 3602-3612. ISSN 1993-8233
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Abstract
The traditional approach to the study of human factors in the maritime field involves the analysis of accidents without considering human factors reliability analysis. The main approach being use to analyze human errors are statistical approach and probability theory approach. Another suitable approach to the study of human factors in the maritime industry is the quasi-experimental field study where variations in performance (for example attention) can be observed as a function of natural variations in performance shaping factors. This paper analyzes result of modeling human error and human reliability emanating from the use of technology on board ship navigation in coastal water area by using qualitative and quantitative tools. Accident reports from marine department are used as empirical material for quantitative analysis. The literature on safety is based on common themes of accidents, the influence of human error resulting from technology usage design, accident report from MAIB and interventions information are use for qualitative assessment. Human reliability assessment involves analysis of accident in waterways, emanating from human-technology factors interface. This paper report an enhancement requirement of the methodological issues with previous research study, monitoring and deduce recommendations for technology modification of the human factors necessary to improve maritime safety performance. The result presented can contribute to rule making, and safety management leading for development of guideline and standards for human reliability risk management for ship navigating within inland and coastal waters.
Item Type: | Article |
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Additional Information: | Open access journal |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Mechanical Engineering |
ID Code: | 30509 |
Deposited By: | Liza Porijo |
Deposited On: | 01 Nov 2013 04:30 |
Last Modified: | 13 Oct 2017 13:59 |
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