Approaches for the Prediction of Lead Times in an Engineer to Order Environment - A Systematic Review. - Peter Burggräf; Johannes Wagner 004; Benjamin Koke; Fabian Steinberg (IEEE Access, 2020)

Machine Learning-Based Prediction of Missing Components for Assembly - a Case Study at an Engineer-to-Order Manufacturer. - Peter Burggräf; Johannes Wagner 004; Benjamin Heinbach; Fabian Steinberg (IEEE Access, 2021)

Physical Exercise Intensity During Submersion Selectively Affects Executive Functions. - Fabian Möller; Uwe Hoffmann; Marc Dalecki; Tobias Dräger; Michael Doppelmayr; Fabian Steinberg (Hum. Factors, 2021)

Transforming Food Production: Smart Containers for Sustainable and Transparent Food Supply Chains. - Peter Burggräf; Tobias Adlon; Fabian Steinberg; Jan Salzwedel; Philipp Nettesheim; Henning Tschauder (APMS (4), 2023)

Rapid Dual-Task Decrements After a Brief Period of Manual Tracking in Simulated Weightlessness by Water Submersion. - Marc Dalecki; Fabian Steinberg; Rainer Beurskens (Hum. Factors, 2023)

Exercise-Related Effects on Executive Functions During a Simulated Underwater Extravehicular Activity. - Fabian Möller; Uwe Hoffmann; Tobias Vogt; Fabian Steinberg (Hum. Factors, 2023)

Applications of machine learning in the brewing process: a systematic review. - Philipp Nettesheim; Peter Burggräf; Fabian Steinberg (Discov. Artif. Intell., 2024)

Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes. - Peter Burggräf; Fabian Steinberg; Tim Weißer; Ognjen Radisic-Aberger (Int. J. Prod. Res., 2024)

Machine learning-based prediction of missing parts for assembly. - Fabian Steinberg (2024)

Predicting schedule adherence of engineering changes - a case study on effectivity date adherence prediction using machine learning. - Ognjen Radisic-Aberger; Peter Burggräf; Fabian Steinberg; Alexander Becher; Tim Weißer (Int. J. Prod. Res., 2025)