Human error prevention activities in manufacturing sites based on information from normal work

Abstract

In factories such as aircraft manufacturing, where the number of productions is small and the defective rate must be reduced to zero, a large number of human error prevention measures are taken. “CRM” in the airline industry is a specific example of ones. However, the burden on workers due to too many measures has exceeded the limit, and there is an urgent need to optimize the management of error prevention measures as a whole. To achieve this, (1)　Detailed collection of human factor information on problematic events such as nonconformity events, (2) Collection of human factor information during normal times of the target work, (3) Structural analysis of human factor, (4) Proposal of guidelines for human error prevention measures based on the analysis results and presentation of multiple specific measures. Of these, (3) and (4) have already been developed in our laboratory and are at the practical stage. Structural analysis methods for human factors include the Swiss cheese model, m-SHELL, PSF list and variation tree. It has been confirmed that (1) can be resolved by measuring human factor management courses for work team leaders through e-learning and factor analysis training incorporating active learning for six months. The realization of safety among business operators has also changed from the traditional "Safety-I" to "Safety-II," and the demand for (2) is increasing, but method (2), which seeks to discover issues when no problems have occurred at all, cannot be addressed with methods such as traditional near-miss event analysis. Therefore, in this study, the image of collected information was changed to "hints that lead to good work" and methods of collecting human factor information from on-site conversations were examined, centering on stimulating constructive communication on-site.

Keywords: Human error prevention activities, positive words, good work

DOI: 10.54941/ahfe1005795