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ORCIDJohannes Wagner 0004
Person information
- affiliation: University of Siegen, Department of Mechanical Engineering, Germany
- affiliation: RWTH Aachen University, Laboratory for Machine Tools and Production Engineering, Germany
Other persons with the same name
- Johannes Wagner 0001 — University of Augsburg, Department of Computer Science, Germany
- Johannes Wagner 0002 — Darmstadt University of Applied Sciences, da/sec, Germany
- Johannes Wagner 0003
![[0000-0002-6283-2959]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6283-2959")
— University of Ulm, Institute of Microelectronics, Germany - Johannes Wagner 0005 — University of Kassel, Institute of Production Technology and Logistics, Germany
- Johannes Wagner 0006 — BMW Group Research and Technology, Munich, Germany
- Johannes Wagner 0007 — University of Erlangen-Nuremberg, Institute for Electrical Drives and Machines, Erlangen, Germany
- Johannes Wagner 0008 — University of Hagen, Germany
- Johannes Wagner 0009 — University Medical Center Hamburg-Eppendorf, Germany
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2020 – today
- 2024
[j6]Benjamin Heinbach, Peter Burggräf, Johannes Wagner:
gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems. Oper. Res. Forum 5(1): 20 (2024)- 2021
- [j5]Peter Burggräf, Johannes Wagner, Benjamin Heinbach:
Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems. IEEE Access 9: 22569-22586 (2021) - [j4]Peter Burggräf, Johannes Wagner, Benjamin Heinbach, Fabian Steinberg:
Machine Learning-Based Prediction of Missing Components for Assembly - a Case Study at an Engineer-to-Order Manufacturer. IEEE Access 9: 105926-105938 (2021) - 2020
- [j3]Peter Burggräf, Johannes Wagner, Benjamin Koke, Fabian Steinberg:
Approaches for the Prediction of Lead Times in an Engineer to Order Environment - A Systematic Review. IEEE Access 8: 142434-142445 (2020) - [j2]Peter Burggräf, Johannes Wagner, Tim Weißer:
Knowledge-based problem solving in physical product development--A methodological review. Expert Syst. Appl. X 5: 100025 (2020)
2010 – 2019
- 2019
- [c1]Peter Burggräf, Johannes Wagner, Benjamin Koke, Kailashnath Manoharan:
Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case. Wirtschaftsinformatik 2019: 62-66 - 2017
- [j1]Peter Burggräf, Johannes Wagner, Katrin Lück, Tobias Adlon:
Cost-benefit analysis for disruption prevention in low-volume assembly. Prod. Eng. 11(3): 331-342 (2017)
Coauthor Index
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