Abstract：Productivity is a measure of an important indicator of the shearer performance， which is of important guiding significance for the scientific decision－making and development of coal mining plan. In this paper， index evaluation system of the shearer productivity is established， and forecast to the shearer productivity is carried using grey GM (1， 1) model and grey Markov model separately. After comparison it is found that the grey Markov model prediction accuracy and precision are better than GM (1， 1) model， especially for data with large volatility and randomness which has the very good fitting and prediction effect. The grey Markov model provides an effective way and method for the prediction assessment of shearer production performance influenced by multiple factors.
2017, Vol. 51 
