建筑用汽车大修期组合预测模型及其应用

基于已有的建筑用汽车大修期间仪表上显示的行驶公里数,结合现代新的预测理论技术,提出一种指数回归—灰色理论相结合的线性优化组合预测模型来预测其下一个大修期。实际应用表明,这一模型对于建筑用汽车大修期的预测具有较高的精度,为建筑用汽车大修期预测提供了新的方法。

Considering speedometer readings at previous overhaul times and combining modern forecasting theories,a forecasting model based on index regression and gray forecasting theory is established to forecast the next overhaul time of the vehicles used on construction site.This new forecasting method has been used to forecast a specific vehicle overhaul time.The results show that this method is feasible and features high accuracy.