In this paper, we discuss and compare empirically various ways of computing multistep quantile forecasts of demand, with a special emphasis on the use of the quantile regression methodology. Such forecasts constitute a basis for production planning and inventory management in logistic systems...

In this paper, we re-examine the exponential smoothing model in the context of its use in supply chain and logistics forecasting when supply chain or logistics costs are measured by the doubly linear (LINLIN) loss function of errors of demand forecasts. The parameters of our models are optimized...