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Human error has been recognized as the major cause for industrial accidents. Because of the changing role of human in modern manufacturing environment and the lack of understanding of the human cost, the severity of human error problem is worsen by the increasing mental workload and the insufficient allocated company resources. To prevent the accidents from happening, it is necessary for managers to realize the potential human error threats and its likelihood of creating loss from daily operations. This study proposes the error data collected through observing the workers' operation status, instead of experts' judgments, can be used as the source information for analyzing human error and developing safety index. Safety index is used as a monitoring tool to control human errors. An industrial case is carried out to illustrate the implementation of this approach. It shows the operators' behaviors can be incorporated into the human errors assessment process and the factory managers can get closer understanding of their manufacturing risk. The problem of traditional Human Reliability Assessment Techniques, which can not provide the manager the daily operation risk information, is solved.
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