Abstract: According to the limitations of single method in forecasting human resource demand of coal industry, we present a combination forecasting method based on multiple regression model and grey forecasting. By using the data of 30 coal enterprises during the period of 2013-2017 and extracting two main factors: the annual coal output and worker salary level, we forecasted the operation and management human resource demand of coal industry from 2013to 2017. The research result shows that the combination forecasting method is more effective than the single forecasting method, and the combination forecasting method has good applicability.