@misc{oai:repo.qst.go.jp:00071767,
 author = {Inokuchi, Hiromi and 猪口 宏洋},
 month = {Oct},
 note = {We believe that most important factor for customer satisfaction is to supply stabilized beam without trouble. In other words, the role of operation and maintenance for accelerator is to minimize the occurrence of trouble during operation and the downtime for recovery. To achieve the goal, NIRS, National Institute of Radiological Sciences, in Japan has just started to monitor the performance of accelerator with parameter of Availability, Failure Rate and Human Error as a User’s happy index. 
All troubles that occurred in a month are listed with cause of trouble, defective part and downtime to calculate above parameters. Those parameters are graphed to monitor the trend. Also, defective parts are categorized and graphed for more breakdown information. 
Human errors are classified to three stages, Level 0 for low risk and Level 2 for highest risk. The quality review meeting is held every month. If a parameter of trend shows low quality, cause would be investigated and corrective action would be discussed in the meeting. We had experienced the number of 82 near-miss (level 0) errors in the last fiscal year, and about 50% of errors were caused by the fact that persons having within one year experience lack some prerequisite knowledge. 
As a result of this analysis, we have reviewed and improved the training program for new face, also modified the classroom training to be performed by two instructors this year. While one instructor is lecturing, the other instructor is taking care of the person who has a poor understanding of the lecture at the same time. Therefore, we expect positive effect s from this improvement in this year.
This talk will introduce how we decide the customer index and how we use those indexes, with the cycle of Monitor-Analysis-Correction-Evaluation that maintains and/or improves the accelerator reliability., Workshop on Accelerator Operations (WAO2014)},
 title = {Improvement of the training program for newcomers by human factor analysis},
 year = {2014}
}