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Johannes Wagner 0004

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affiliation: University of Siegen, Department of Mechanical Engineering, Germany
affiliation: RWTH Aachen University, Laboratory for Machine Tools and Production Engineering, Germany

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Journal Articles

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2024
[j6]
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  - journals/orf/HeinbachBW24
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  - https://dblp.org/rec/journals/orf/HeinbachBW24
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]
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  - journals/access/Burggraf0H21
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  - https://dblp.org/rec/journals/access/Burggraf0H21
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]
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  - journals/access/BurggrafWHS21
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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]
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  - journals/access/BurggrafWKS20
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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]
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  - journals/eswax/BurggrafWW20
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Peter Burggräf, Johannes Wagner, Tim Weißer:
Knowledge-based problem solving in physical product development--A methodological review. Expert Syst. Appl. X 5: 100025 (2020)
2017
[j1]
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  - journals/peng/BurggrafWLA17
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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)

Conference and Workshop Papers

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2019
[c1]
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  - conf/wirtschaftsinformatik/Burggraf0KM19
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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

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