FORECAST OF FIRST-CLASS TIME PARAMETERS FOR OPEN-PIT MINES BASED ON ARIMA MODEL
           
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KeyWord:Open-pit mine,Truck dispatching system,ARIMA model,Forecast
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Abstract:
      Forecast of first-class time parameters such as truck's travel time and shovel's loading time is an important problem for truck dispatching system in open-pit mines.It is put forward in this paper that the non-stationary time series model,ARIMA,is adopted to forecast this class of time parameters.AIC rule is used to estimate the rank of the model.Portmanteau model checking test statistic is used to examine the model.The forecast method is verified with actual time of truck travel measured in an open-pit mine.The research results show that it is feasible to use the ARIMA model for forecast of first-class time parameters,with adequate accuracy.
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