Prof. Dr. Günter Bitsch

Digitisation in Industry

+49 7121 271 3079

Guenter.Bitsch@Reutlingen-University.DE

Building 16, Room 111

Monday 14.00 - 19.30 (by prior appointment)

Information & Communication Technologies and Systems
Research Methods
Process Management, Prof. Dr. Günter Bitsch uses the software Visual Paradigm Online for his lectures. Students can create process models cooperatively online and use various diagram types.

Hybrid decision support systems
(Partially) decentralized control systems
Planning systems
Digital Shopfloor management

DIME, MOM, IMX, Production Management

Prof. Dr. Günter Bitsch is the founder and managing partner of becos GmbH in Stuttgart, Germany. He is known as expert for Manufacturing Execution (MES) and Business-Intelligence (BI). In 2010 he did his Ph.D. at the University of Siegen. Since 2013 he teaches at the ESB Business School, Reutlingen University.

Bitsch, Günter

2024
Kneissl, Anja; Bitsch, Günter; Jooste, Johannes (2024): A human-centric preference-based workforce dispatching with machine learning using the example of an assembly process. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 757-762. - DOI: https://doi.org/10.1016/j.procir.2024.08.304	BibTeX \| RIS DOI URN
Kiefer, Daniel; Wezel, Stefan; Böttcher, Alexander; Grimm, Florian; Straub, Tim; Bitsch, Günter; van Dinther, Clemens (2024): Anomaly detection in hobbing tool images: using an unsupervised deep learning approach in manufacturing industry. - In: Procedia computer science 232 (5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023)). - S. 2396-2405. - DOI: https://doi.org/10.1016/j.procs.2024.02.058	BibTeX \| RIS DOI URN
Grimm, Florian; Kiefer, Daniel; Straub, Tim; Bitsch, Günter; van Dinther, Clemens (2024): Automatic gear tooth alignment in vision based preventive maintenance. - In: Procedia computer science 232 (5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023)). - S. 1564-1572. - DOI: https://doi.org/10.1016/j.procs.2024.01.154	BibTeX \| RIS DOI URN
Bitsch, Günter; Senjic, Pascal (2024): Intelligent scheduling based on discrete-time simulation using machine learning. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 48-51. - DOI: https://doi.org/10.1016/j.procir.2024.08.260	BibTeX \| RIS DOI URN
Puspanathan, Thamilini; Bitsch, Günter; Louw, Louis (2024): Systematic literature review on the acceptance of human-robot collaboration among assembly workers. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 188-193. - DOI: https://doi.org/10.1016/j.procir.2024.08.322	BibTeX \| RIS DOI URN
2023
Mert, Serkan; Bitsch, Günter; Jooste, Johannes (2023): A method to estimate the remaining useful lifetime of a two-jaw parallel gripper based on experimental failure threshold data. - In: Procedia computer science 217 (4th International Conference on Industry 4.0 and Smart Manufacturing). - S. 1599-1608. - DOI: https://doi.org/10.1016/j.procs.2022.12.360	BibTeX \| RIS DOI URN
Jestädt, Martin; Saier, Lena; Siegert, Mara; Yurttas, Aylin; Bitsch, Günter (2023): Auf dem Weg zu einer nachhaltigen Prozessorientierung: Ein Framework für die Etablierung und Aufrechterhaltung des Prozessdenkens in Organisationen. - In: Projektmanagement und Vorgehensmodelle 2023 (PVM 2023) : Nachhaltige IT-Projekte - Gemeinsame Tagung der Fachgruppen Projektmanagement (WI-PM) und Vorgehensmodelle (WI-VM) im Fachgebiet Wirtschaftsinformatik der Gesellschaft für Informatik e.V. in Kooperation mit der Fachgruppe IT-Projektmanagement der GPM e.V. und dem PMI Germany Chapter e.V.; 16. und 17. November 2023 in Hagen - (GI-Edition : Lecture notes in informatics : proceedings ; 340). - Bonn : Gesellschaft für Informatik e.V. - S. 205-216. - ISBN: 978-3-88579-734-0. - URL: https://dl.gi.de/handle/20.500.12116/42681	BibTeX \| RIS
Schweitzer, Felicia; Bitsch, Günter; Louw, Louis (2023): Choosing solution strategies for scheduling automated guided vehicles in production using machine learning. - In: Applied sciences 13 (2). - 20 S. - DOI: https://doi.org/10.3390/app13020806	BibTeX \| RIS DOI URN
Burkart, Adrian; Askin, Jeremy (2023): Development of a dynamic TCP-positioning method for a collaborative robot using an intelligent, self-aware workpiece carrier. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 229-234. - DOI: https://doi.org/10.1016/j.procir.2023.06.040	BibTeX \| RIS DOI URN
Burkart, Adrian; Bitsch, Günter; de Kock, Imke (2023): Framework for integrating intelligent product structures into a flexible manufacturing system. - In: Smart, sustainable manufacturing in an ever-changing world : Proceedings of International Conference on Competitive Manufacturing (COMA ’22) ; 9-11 March 2022, Stellenbosch, South Africa. - Cham : Springer. - S. 639-651. - ISBN: 978-3-031-15601-4. - DOI: https://doi.org/10.1007/978-3-031-15602-1_47	BibTeX \| RIS DOI
Bitsch, Günter; Senjic, Pascal; Askin, Jeremy (2023): Integration of legacy systems to Cyber-Physical Production Systems using semantic adapters. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 259-263. - DOI: https://doi.org/10.1016/j.procir.2023.06.045	BibTeX \| RIS DOI URN
Askin, Jeremy; Bitsch, Günter (2023): Investigating the influence of a cobot's average tool center point speed on human work behavior in a cooperative human-robot collaboration assembly station. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 217-222. - DOI: https://doi.org/10.1016/j.procir.2023.06.038	BibTeX \| RIS DOI URN
2022
Bitsch, Günter (2022): Conceptions of man in human-centric cyber-physical production systems. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 1439-1443. - DOI: https://doi.org/10.1016/j.procir.2022.05.171	BibTeX \| RIS DOI URN
Bitsch, Günter; Senjic, Pascal; Askin, Jeremy (2022): Dynamic adaption in cyber-physical production systems based on ontologies. - In: Procedia Computer Science 200 (3rd International Conference on Industry 4.0 and Smart Manufacturing). - S. 577-584. - DOI: https://doi.org/10.1016/j.procs.2022.01.255	BibTeX \| RIS DOI URN
Bitsch, Günter; Kneip, Petra; Kneissl, Anja (2022): Human Digital Twin. - In: Das Wirtschaftsstudium : wisu 51 (12). - S. 1279-1280.	BibTeX \| RIS
Bitsch, Günter; Senjic, Pascal; Kneip, Petra (2022): Hybrid individualized assistance-oriented learning system framework for STEM-Education. - In: 2022 IEEE German Education Conference (GeCon), 11-12 August 2022, Berlin, Germany, proceedings. - New York : IEEE. - 5 S. - ISBN: 978-1-6654-5170-3. - DOI: https://doi.org/10.1109/GeCon55699.2022.9942754	BibTeX \| RIS DOI
Bitsch, Günter; Schweitzer, Felicia (2022): Selection of optimal machine learning algorithm for autonomous guided vehicle’s control in a smart manufacturing environment. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 1409-1414. - DOI: https://doi.org/10.1016/j.procir.2022.05.166	BibTeX \| RIS DOI URN
Bitsch, Günter; Senjic, Pascal (2022): Short-time adaption and reconfiguration of cyber-physical production systems. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 209-213. - DOI: https://doi.org/10.1016/j.procir.2022.09.074	BibTeX \| RIS DOI URN
2021
Burkart, Adrian; Bitsch, Günter (2021): Die Entwicklung von passiven zu intelligenten Produkten : Ein methodischer Gestaltungsansatz für intelligente Produkte am Beispiel des Werkstückträgers. - In: Zeitschrift für wirtschaftlichen Fabrikbetrieb : ZWF 116 (9). - 4 S. - DOI: https://doi.org/10.1515/zwf-2021-0058	BibTeX \| RIS DOI
Bitsch, Günter; Senjic, Pascal (2021): Learning factories on demand. - In: Proceedings of the Conference on Learning Factories (CLF) 2021, 1-2 July 2021, Graz, Austria. - Elsevier. - 6 S. - DOI: https://doi.org/10.2139/ssrn.3864330	BibTeX \| RIS DOI URN
Bitsch, Günter; Senjic, Pascal (2021): Open semantic modeling for smart production systems. - In: Procedia CIRP. - Amsterdam : Elsevier. - S. 582-587. - DOI: https://doi.org/10.1016/j.procir.2021.11.098	BibTeX \| RIS DOI URN
2018
Faller, Stefan; Hampa, Marcus; Bitsch, Günter; Hummel, Vera; Brenner, Beate (2018): Shopfloor Management in der selbstgesteuerten Logistik-Lern-Fabrik. - In: Journal of engineering, management and operations 1 - S. 133-147.	BibTeX \| RIS

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Prof. Dr. Günter Bitsch

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