Man-hour forecasting and evolution based on MES data collection

To improve the accuracy of rated man-hours, a man-hour evolution method based on Manufacturing Execution System (MES) data collection was put forward. Actual work time statistic method based on MES historian data was given, man-hour influencing factors were analyzed and neural network was set up. Man-hour evolution process model was established and the evolutionary process was described. The evolution process was carried out by using real work time to revise man-hour and its neural network constantly, and they were kept consistent with the actual manufacturing situation by means of evolution. The feasibility of proposed method was validated in an aerospace enterprise.