Studie zum Einsatz von LLMs im Produktionsumfeld/Study on the use of LLMs in the production environment

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Cover of Volume: wt Werkstattstechnik online Volume 115 (2025), Issue 09
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wt Werkstattstechnik online

Volume 115 (2025), Issue 09

Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2025
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information

Open Access Full access

Volume 115 (2025), Issue 09

Studie zum Einsatz von LLMs im Produktionsumfeld/Study on the use of LLMs in the production environment

Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Preview:

Large Language Models (LLMs) have quickly become a central component of digital transformation. While their use is widespread in customer service, marketing and sales, the question arises as to what potential LLMs offer in the production environment. This study makes use of interviews with manufacturing companies to investigate which use cases are particularly promising in the production environment.

Bibliography

  1. [1] Minaee, S.; Mikolov, T.; Nikzad, N. et al.: Large Language Models: A Survey. ArXiv 2024, doi.org/10.48550/arXiv.2402.06196 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  2. [2] Roland Berger (ed.): GenAI-driven transformation. Preparing your company for success with GenAI on every level. Stand: 2024. Internet: content.rolandberger.com/hubfs/07_presse/Roland%20Berger%20GenAI-driven%20transformation%20final.pdf. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  3. [3] Buchholz, K.: Threads Shoots Past One Million User Mark at Lightning Speed. One Million Users. Statista. Stand: 07.07.2023. Internet: www.statista.com/chart/29174/time-to-one-million-users/. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  4. [4] Fletcher, R.; Nielsen, R. K.: What Does the Public in Six Countries Think of Generative AI in News? Stand: 28.05.2024. Internet: reutersinstitute.politics.ox.ac.uk/what-does-public-six-countries-think-generative- ai-news. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  5. [5] Singla, A.; Sukharevsky, A.; Yee, l. et al.: The state of AI in early 2024. Gen AI adoption spikes and stats to generate value. McKinsey. Stand: 2024. Internet: www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai. Zugriff am 22.08.2025 11.06.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  6. [6] Bick, A.; Blandin, A.; Deming, D. J.: The Rapid Adoption of Generative AI. National Bureau of Economic Research. Stand: 04.11.2024 Internet: papers.ssrn.com/sol3/papers.cfm?abstract_id=4965142. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  7. [7] Chui, M.; Roberts, R.; Yee, L. et al.: The economic potential of generative AI. The next productivity frontier. McKinsey & Company. Stand: 2023. Internet: www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#/. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  8. [8] Kurpicz-Briki, M.: Generative AI: was ist das und was kann sie bereits? SocietyByte – Wissenschaftsmagazin der Berner Fachhochschule. (2023), doi.org/10.24451/arbor.19044 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  9. [9] Bharathi Mohan, G.; Prasanna Kumar, R.; Vishal Krishh, P. et al.: An analysis of large language models: their impact and potential applications. Knowledge and Information Systems 66 (2024) 9 ,pp. 5047–5070 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  10. [10] Rahmanzadehgervi, P.; Bolton, L.; Taesiri, M. R. et al.: Vision language models are blind. ArXiv.2025, doi.org/10.48550/arXiv.2407.06581 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  11. [11] Ma, J.; Dai, D.; Sha, L. et al.: Large Language Models Are Unconscious of Unreasonability in Math Problems. ArXiv 2024, arxiv.org/html/2403.19346v2 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  12. [12] Ahn, J.; Verma, R.; Lou, R. et al.: Large Language Models for Mathematical Reasoning: Progresses and Challenges. ArXiv 2024, doi.org/10.48550/arXiv.2402.00157 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  13. [13] Xu, Z.; Jain, S.; Kankanhalli, M.: Hallucination is Inevitable: An Innate Limitation of Large Language Models. ArXiv 2024, doi.org/10.48550/ arXiv.2401.11817 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  14. [14] Huang, D.; Yan, C.; Li, Q. et al.: From Large Language Models to Large Multimodal Models: A Literature Review. Applied Sciences 14 (2024) 12, #5068 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  15. [15] Li, Y.; Zhao, H.; Jiang, H. et al.: Large Language Models for Manufacturing. ArXiv 2024, doi.org/10.48550/arXiv.2401.11817 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  16. [16] Milmo, D.: OpenAI launches ‘deep research’ tool that it says can match research analyst. The Guardian. Stand: 03.02.2025. Internet: www.theguardian.com/technology/2025/feb/03/openai-deep-research-agent-chatgpt-deepseek. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  17. [17] Pichai, S.; Hassabis, D.: Our next-generation model: Gemini 1.5. Stand: 15.02.2024. Internet: blog.google/technology/ai/google-gemini-next-generation-model-february-2024/. Zugriff am 22.08.2025 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  18. [18] Liu, A.; Feng, B.; Wang, B. et al.: DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. ArXiv 2024, doi.org/10.48550/arXiv.2405.04434 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  19. [19] Firat, M.; Kuleli, S.: What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases. Journal of Emerging Computer Technologies 3 (2024) 1, pp. 1–6 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  20. [20] Bruscia, M.; Manduzio, G. A.; Galatolo, F. A. et al.: An Overview On Large Language Models Across Key Domains: A Systematic Review. 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), St Albans, United Kingdom, 2024, pp. 125–130 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  21. [21] Wang, T.; Fan, J.; Zheng, P.: An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing. Journal of Manufacturing Systems 75 (2024), pp. 299–305 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  22. [22] Lim, J.; Patel, S.; Evans, A. et al.: Enhancing Human-Robot Collaborative Assembly in Manufacturing Systems Using Large Language Models. Stand: ArXiv 2024, doi.org/10.48550/arXiv.2406.01915 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  23. [23] Finkel, P.; Wurster, P.; Radler, R.: Large Language Models (LLM) im Produktionsumfeld. Eine Potenzialanalyse zur Transformation von Produktionsabläufen in modernen Fabriken. Industry 4.0 Science (2024) 40, S. 48–55 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  24. [24] Kernan Freire, S.; Wang, C.; Foosherian, M. et al.: Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking. Frontiers in artificial intelligence 7 (2024), #1293084, doi.org/10.3389/frai.2024.1293084 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  25. [25] Mustapha, K. B.: A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing. Advanced Engineering Informatics 64 (2025), #103066 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  26. [26] Xia, Y.; Jazdi, N.; Weyrich, M.: Applying Large Language Models for Intelligent Industrial Automation. ATP Magazin 66 (2024) 6–7, pp. 62–71 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  27. [27] Khanghah, K. N.; Patel, A.; Malhotra, R. et al.: Large Language Models for Extrapolative Modeling of Manufacturing Processes. ArXiv 2025, doi.org/10.48550/arXiv.2502.12185 Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13
  28. [28] Makatura, L.; Foshey, M.; Wang, B. et al.: Large Language Models for Design and Manufacturing. An MIT Exploration of Generative AI (27.03.2024), doi.org/10.21428/e4baedd9.745b62fa Open Google Scholar DOI: 10.37544/1436-4980-2025-09-13

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