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Human errors: analysis of 96 serious accidents of an Indian coal company using human factors analysis and classification system (HFACS)

机译:人为错误:使用人为因素分析和分类系统(HFACs)分析96个印度煤炭公司的严重事故

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摘要

Coal is chief source of energy in India and accounts for 55% of country's energy need (www.coal.nic.in). Indian coal mining industry is manpower-intensive. Despite majority of coal mining is done by public sector coal companies, accident rates remain high compared to other major coal producing nations (except China). Human failures have been found to be major attributes of coal mining accidents. To identify human errors in accidents 96 fatal and serious accidents bejell between 2009 and 2014 in a large public sector coal company of central India were analyzed on human factor analysis and classification system - mining industry (HFACS-MI). Analysis revealed that violations, skill based errors, decision errors, inadequate leadership and physical environment were the major contributing factors. These findings stress upon the need to focus on reduction of human errors during mining operations to arrest present trend of accidents. The results of the study represent a preliminary findings and subsequent detailed study is required to pinpoint activity-wise human failures.
机译:煤炭是印度能源的主要能源来源,占国家能源需求的55%(www.coal.nic.in)。印度煤矿业是人力密集的。尽管公共部门煤炭公司完成了大多数煤矿,但与其他主要煤炭生产国家(中国除外)相比,事故率仍然很高。已发现人类失败是煤矿事故的主要属性。为了识别事故中的人为错误,在印度中部大型公共部门煤炭公司2009年至2014年,对人类因子分析和分类系统 - 采矿业(HFACS-MI)进行了2009年和2014年的致命和严重事故BEJELL。分析显示,违规,基于技能的错误,决策错误,领导力和物理环境不足是主要的贡献因素。这些调查结果迫切需要关注在采矿业务期间减少人类错误以逮捕事故趋势。研究结果代表了初步调查结果,并且需要随后的详细研究来定位活动方面的人类失败。

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