Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors. Therefore, the quality of planning depends on the quality of the forecasts. We compare various forecasting methods in terms of out of the box forecasting performance on a broad set of simulated time series. We simulate various linear and non-linear time series and look at the one step forecast performance of statistical learning methods.
翻译:物流和供应链管理的许多规划和决策活动都以多时间依赖因素的预测为基础,因此,规划的质量取决于预测的质量。我们比较了各种预测方法,从方框中得出一系列广泛的模拟时间序列的预测性能。我们模拟了各种线性和非线性时间序列,并研究了统计学习方法的一步预测性能。</s>