Supporting demand planning process with Walsh-Fourier based techniques

Abstract

The demand planning is one of the most frequented topics in logistics planning within the supply chain management. The prediction of future demand is a very important phase in the enterprise resource planning in point of view of supporting other planning functions (e.g. production planning, material requirements planning etc.). The statistical forecasting is the first step in this very complex process. The effectiveness of the traditional forecasting methods is very variable in the real economic environment. The dyadic harmonic analysis is a new stream and alternative solution to recognize and understand the behavior of the economical time series. © 2014 Periodica Polytechnica Transportation Engineering.