2024

• Dörr L., Oks SJ., Trezl J., Reichenstein T., Koustas SG., Lehmann C.:
  Demonstratoren im Industrie 4.0-Kontext
  In: wt Werkstattstechnik - Online 114 (2024), p. 373-383
  ISSN: 1436-4980
  DOI: 10.37544/1436-4980-2024-06-125
  URL: https://elibrary.vdi-verlag.de/10.37544/1436-4980-2024-06-125/demonstratoren-im-industrie-4-0-kontext-demonstrators-in-the-context-of-industry-4-0-jahrgang-114-2024-heft-06?page=1
  BibTeX: Download

2023

• Barth M., Russwurm E., Gutwald B., Kunz D., Reichenstein T., Franke J.:
  Modeling and Simulation Techniques for Energy Behavior in Production Systems: A Review and Systematic Taxonomy
  2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (, 8. December 2023 - 10. December 2023)
  In: 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON) 2023
  DOI: 10.1109/ONCON60463.2023.10431385
  BibTeX: Download
• Koustas SG., Jalowski M., Reichenstein T., Oks SJ.:
  A blockchain-based IIoT traceability system: ERC-721 tokens for Industry 4.0
  In: Procedia CIRP 120 (2023), p. 1280-1285
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2023.09.163
  BibTeX: Download
• Koustas SG., Reichenstein T.:
  Blockchain und digitaler Schatten: Potenzial und Herausforderungen für KMU
  In: Blockchain - Transparent, sicher und unveränderbar?, 2023, p. 10 - 13
  Open Access: https://textil-mode.de/de/documents/1750/Broschüre_Blockchain_X9zzMby.pdf
  URL: https://textil-mode.de/de/documents/1750/Broschüre_Blockchain_X9zzMby.pdf
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  (anderer)
• Koustas SG., Reichenstein T., Oks SJ., Fuchs J., Möslein K.:
  Demonstrating industrial smart product-service systems: Industry 4.0 maturity through stakeholder-oriented development and testing
  In: Procedia CIRP 120 (2023), p. 1268-1273
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2023.09.161
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• Reichenstein T., Koustas SG., Roßner A., Meiners M., Franke J.:
  Toward a structured concept for purpose-driven modeling of a digital shadow in manufacturing
  In: Procedia CIRP 119 (2023), p. 816-821
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2023.02.167
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2022

• Raffin T., Reichenstein T., Klier D., Kühl A., Franke J.:
  Qualitative assessment of the impact of manufacturing-specific influences on Machine Learning Operations
  In: Procedia CIRP 115 (2022), p. 136-141
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2022.10.063
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• Raffin T., Reichenstein T., Werner J., Kühl A., Franke J.:
  A reference architecture for the operationalization of machine learning models in manufacturing
  In: Procedia CIRP 115 (2022), p. 130-135
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2022.10.062
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• Reichenstein T., Raffin T., Sand C., Franke J.:
  Implementation of Machine Vision based Quality Inspection in Production: An Approach for the Accelerated Execution of Case Studies
  In: Procedia CIRP 112 (2022), p. 596-601
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2022.09.058
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2021

• Schäffer E., Mayr A., Reichenstein T., Shafiee S., Franke J.:
  Four Independent Knowledge Domains to Enable an Agile, Distributed Development of User-Centred Engineering Configurators
  In: Procedia CIRP 103 (2021), p. 134-139
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2021.10.021
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• Schäffer E., Schobert M., Reichenstein T., Selmaier A., Stiehl V., Herhoffer M., Mala M., Franke J.:
  Reference Architecture and Agile Development Method for a Process-Driven Web Platform based on the BPMN-Standard and Process Engines
  In: CIRPe (ed.): CIRPe 2021 Sustainable, resilient, and agile manufacturing and service operations: Lessons from COVID-19, 2021, p. 146--151 (9th CIRP Global Web Conference – Sustainable, resilient, and agile manufacturing and service operations : Lessons from COVID-19, Vol.Volume 103)
  DOI: 10.1016/j.procir.2021.10.023
  URL: https://www.sciencedirect.com/science/article/pii/S2212827121008647
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2020

• Meiners M., Reichenstein T., Franke J., Hauenstein R.:
  Current Distribution Monitoring in Capacitor Discharge Welding
  DOI: 10.1109/ETFA46521.2020.9212054
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