Publication I: Approaches for the Prediction of Lead Times in an Engineer to Order Environment—a Systematic Review

The interest of manufacturing companies in a sufficient prediction of lead times is continuously increasing—especially in engineer to order environments with typically a large number of individual parts and complex production processes. A multitude of approaches have been proposed in the literature for predicting lead times considering different data and methods or algorithms from operations research (OR) and machine learning (ML). In order to provide guidance at setting up prediction models and developing new approaches, a systematic review of the available approaches for predicting lead times is presented in this paper.