A fitting algorithm of man hour decision used for digital manufacture

Based on plenty of data from enterprise, primer parameters which effect the man hour are chosen and sorted. Multi-parameters groups which fit in with many product methods and objects are built by analyzing the degree of the importance and the constraint of the parameters. According to the result of fitting data optimally, the function of man hour is built. With analysis of the experiments and the instances multi-faced coefficient of correction is set to prompt the standardization of the man hour. The achievement is integrated with a management information system in a tobacco machine enterprise.