物流現場における生産性向上システムのための作業分析

抄録

We have analyzed logistic work for the productivity improvement system. To solve the problem of a worker shortage, we tried to extract some work of which work efficiency got better with experience, as beginners at logistic work could get prior education to these work. Based on the hypothesis that the more experience workers had, the smaller dispersion of working time and motion of workers became, we defined time statistic and moving statistic coming from acceleration data of the sensors on the workers' wrists. The amount of data was over 8,000 samples collected from sixteen subjects. We have developed correlation analysis between time / moving statistics and experience value defined by workers' service years and rate of their all work of logistic work. The correlation analysis has picked out some work which correlated highly with experience. We have confirmed that these work had enough flexibility and needed skills. The result of our experiment shows that work analysis framework focused on the dispersion of both working time and motion is effective to select work that have plenty of room to improve.