In the paper we evaluate the usability of certain wavelet-based methods of signal estimation for forecasting economic time series. We concentrate on extracting stochastic signals embedded in white noise with the help of wavelet scaling based on the non-decimated version of the discrete wavelet...

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...

We revisit the computational framework based on the M-estimation principle in the context of inventory forecasting in periodic review order-up-to inventory systems calibrated with a beta service level constraint. In particular, we discuss the identification condition for the estimation of base...

We consider forecasting in base stock inventory systems with commitments concerning the expected short-term fill rate. From the managerial perspective, the short-term fill rate is an important indicator to measure the customer service level as it can be monitored on a regular basis and is the...