Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study

Lena Schmid, Moritz Roidl, Markus Pauly

Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors. Therefore, the quality of planning depends…