Comparative Study on AI-Augmented Inventive Problem Solving with TRIZ, TRIZ-AI Hybrid, and Autonomous AI: An Inline Coating Measurement Case in Lithium-Ion Cell Production

Sammelbandbeitrag › Aufsatz › 2026

Zitation

Livotov, Pavel; Huber, Norbert; Hentschel, Claudia; Mayer, Oliver; Träger, Jens; Bohn, Gunther; Höcht, Leonard; Kläb, Mara; Kuhlmann, Laura; Mas'udah, Mas'udah; Scherb, Bruno; Schnittker, Frank Clemens; Wessner, Jochen; Weydanz, Wolfgang: Comparative Study on AI-Augmented Inventive Problem Solving with TRIZ, TRIZ-AI Hybrid, and Autonomous AI: An Inline Coating Measurement Case in Lithium-Ion Cell Production. In: World Conference of AI-Powered Innovation and TRIZ Methodology. 2nd IFIP WG 5.4 International TRIZ Future Conference, TRAI 2025, Paris, France, November 5–7, 2025, Proceedings, Part I. Hg. von Cavallucci, Denis; Brad, Stelian; Livotov, Pavel; Houssin, Rémy. 1, Chapter 3. Cham, Switzerland: SPRINGER nature 2026 (IFIP Advances in Information and Communication Technology Volume 774), S. 35-54.

ISSN

1868-4238

ISBN

978-3-032-08847-5

DOI / URN

https://doi.org/10.1007/978-3-032-08847-5_3

Link

https://link.springer.com/book/10.1007/978-3-032-08847-5

Sprache

Englisch

Zitieren

BibTeX / RIS

Zugehörige Projekte

Zugehörige Veranstaltungen

  • TRAI 2025 Scientific Committee Member and Session Chair: TRIZ & pedagogy
    2nd World Conference of AI-Powered Innovation and TRIZ Methodology: 2nd International Federation for Information Processing (IFIP) Working Group (WG) 5.4: International TRIZ Future Conference (TRAI) 2025
    Electricité de France (EDF), Paris-Saclay, France, 06.11.2025
    Veranstaltungsbeitrag › Moderation / Session Chair › 2025