AN EMPIRICAL EVALUATION OF INDIVIDUAL ITEM FORECASTING MODELS
通过计算机模拟实验，比较七种个体项目预测模型在五种需求模式下的表现，发现最佳模型取决于需求模式、预测期和噪声水平，其中指数双平滑最为稳健。
A computer simulation experiment was replicated to correct errors in an earlier paper and to compare seven individual item forecasting models across five different demand patterns. Results confirm previous findings that the better forecasting model depends upon the demand pattern and the forecast horizon, as well as the noise level. Nevertheless, exponential double smoothing emerged as the most robust model.