Human Error Assessment in Coal Mining Based on the Success Likelihood Index Methodology

摘要：

The human error assessment in coal mining is still difficult because it has some features of diversity and complexity. In this paper human errors will be divided into three categories: managerial human errors, technical human errors and operating human errors. The methods to assess human errors in coal mining were discussed. With a case study on the coal shearer drivers, the paper will assess and analyze the operating human errors with the success likelihood index methodology (SLIM), which has been proved to be an applicable and effective method to fulfill such assessment and analysis.

作者: Liang Zhendong Shi Houbo Luo Ruxue

作者单位: School of Management China University of Mining and Technology (Beijing) Beijing, China Cunjin College Guangdong Ocean University Zhanjiang, China

会议类型: 国际会议

会议名称: The 1st International Symposium on Behavior-based Safety and Safety Management(第一届行为安全与安全管理国际会议 BSM in China 2011)

会议地点: 北京

会议语种:英文

页码: 467-469

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）