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Fabian Steinberg
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Year
Approaches for the prediction of lead times in an engineer to order environment—A systematic review
P Burggräf, J Wagner, B Koke, F Steinberg
IEEE Access 8, 142434-142445, 2020
312020
Trust in artificial intelligence within production management–an exploration of antecedents
T Saßmannshausen, P Burggräf, J Wagner, M Hassenzahl, T Heupel, ...
Ergonomics 64 (10), 1333-1350, 2021
212021
Predictive analytics in quality assurance for assembly processes: lessons learned from a case study at an industry 4.0 demonstration cell
P Burggräf, J Wagner, B Heinbach, F Steinberg, L Schmallenbach, ...
Procedia CIRP 104, 641-646, 2021
92021
Machine learning-based prediction of missing components for assembly–a case study at an engineer-to-order manufacturer
P Burggräf, J Wagner, B Heinbach, F Steinberg
IEEE Access, 2021
82021
A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry
F Steinberg, P Burggräf, J Wagner, B Heinbach, T Saßmannshausen, ...
Supply Chain Analytics 1, 100003, 2023
42023
Life cycle assessment for adaptive remanufacturing: incorporating ecological considerations into the planning of maintenance activities–a case study in the German heavy …
P Burggräf, J Wagner, F Steinberg, B Heinbach, M Wigger, ...
Procedia CIRP 105, 320-325, 2022
42022
Impact of material data in assembly delay prediction—a machine learning-based case study in machinery industry
F Steinberg, P Burggaef, J Wagner, B Heinbach
The International Journal of Advanced Manufacturing Technology 120 (1), 1333 …, 2022
32022
Reinforcement learning for process time optimization in an assembly process utilizing an industry 4.0 demonstration cell
P Burggräf, F Steinberg, B Heinbach, M Bamberg
Procedia CIRP 107, 1095-1100, 2022
32022
Smart Containers—Enabler for More Sustainability in Food Industries?
P Burggräf, F Steinberg, T Adlon, P Nettesheim, H Kahmann, L Wu
Congress of the German Academic Association for Production Technology, 416-426, 2022
22022
Bridging data gaps in the food industry–sensor-equipped metal food containers as an enabler for sustainability
P Burggräf, F Steinberg, T Adlon, P Nettesheim, J Salzwedel
ESSN: 2701-6277, 687-697, 2023
12023
Deciding on when to change–a benchmark of metaheuristic algorithms for timing engineering changes
P Burggräf, F Steinberg, T Weißer, O Radisic-Aberger
International Journal of Production Research 62 (9), 3230-3250, 2024
2024
Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study
P Burggräf, F Steinberg, CR Sauer, P Nettesheim
Production Engineering, 1-14, 2024
2024
Towards a Sustainable Industrial Society–Critical Capabilities for the Transformation to a Circular Economy in Manufacturing Companies
P Burggräf, F Steinberg, A Becher, CR Sauer, M Wigger
Congress of the German Academic Association for Production Technology, 304-315, 2024
2024
Transforming Food Production: Smart Containers for Sustainable and Transparent Food Supply Chains
P Burggräf, T Adlon, F Steinberg, J Salzwedel, P Nettesheim, ...
IFIP International Conference on Advances in Production Management Systems …, 2023
2023
Boosting the Circular Manufacturing of the Sustainable Paper Industry–A First Approach to Recycle Paper from Unexploited Sources such as Lightweight Packaging, Residual and …
P Burggräf, F Steinberg, CR Sauer, P Nettesheim, M Wigger, A Becher, ...
Procedia CIRP 120, 505-510, 2023
2023
Cyber-Physical Optimization of Production Processes Using Two AIs: A Robot-Guided MAG Welding Use-Case
P Burggräf, F Steinberg, P Nettesheim, M Vedder, G Kolter
Procedia CIRP 118, 885-889, 2023
2023
Machine learning-based prediction of missing components for assembly-a case study at an engineer-to-order manufacturer
F Steinberg, P Burggräf, J Wagner, B Heinbach
2021
Supply Chain Analytics
F Steinberg, P Burggräf, J Wagner, B Heinbach, T Saßmannshausen, ...
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