this paper presents a model predictive control (mpc) approach for production and inventory control systems. model predictive control previously has been successfully applied to supply chain problems; however most systems that have been proposed so far possess no information on future demand. the incorporation of a forecasting methodology in an mpc framework can promote the efficiency of control...

Abstract. With a rapidly increasing capacity of electricity generation from wind power, the demand for accurate power production forecasts is growing. To date, most installations have been onshore and thus studies on focused conditions. However, as offshore becoming increasingly popular it also important to assess forecast quality in locations. In this study, high-resolution numerical weather p...

It is well-known that the performance of acoustic-to-articulatory inversion improves by smoothing the articulatory trajectories estimated using Gaussian mixture model (GMM) mapping (denoted by GMM + Smoothing). GMM + Smoothing also provides similar performance with GMM mapping using dynamic features, which integrates smoothing directly in the mapping criterion. Due to the separation between smo...

We study empirically the best acoustic parameterization for articulatory inversion (the problem of recovering the sequence of vocal tract shapes that produce a given acoustic speech signal). We compare all combinations of the following factors: 1) popular acoustic features such as MFCC and PLP with and without dynamic features; 2) different short-time window lengths; 3) different levels of smoo...

We propose a new multi-objective job scheduling problem on non-identical machines involving job and machine dependent setup costs and times, as well as smoothing costs. Smoothing issues are very important in several settings, such as for example car production, since they allow to balance resource utilization over an assembly line. In this paper, we describe the problem, give a mixed integer li...

The aim of this paper is to analyse the operational response of a Synchronised Supply Chain (SSC). To do so, first a new mathematical model of a SSC is presented. An exhaustive Latin Square design of experiments is adopted in order to perform a boundary variation analysis of the main three parameters of the periodic review smoothing (S,R) order-up-to policy: i.e., lead time, demand smoothing fo...