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Case study : is there a space for TRIZ in the era of ChatGPT?

Čok, Vanja ; Samsa, Luka ; Brojan, Miha ; Tavčar, Jože LU orcid and Vukašinović, Nikola (2025) ICED25 - 25th International Conference on Engineering Design 5. p.871-880
Abstract
This study investigates the integration of Large Language Models with the TRIZ to improve problem solving and innovation in industrial product development. By combining the structured problem-solving framework of TRIZ with LLMs to process large amounts of data and generate ideas, this hybrid approach seeks to overcome the limitations of traditional TRIZ and optimize solution generation. In a case study conducted in an industrial setting, the effectiveness of this integration was investigated by comparing team-generated solutions with those derived using LLMs and TRIZ-enhanced LLMs. The results show that while LLMs accelerate idea generation and provide practical solutions, the additional structure of TRIZ can provide unique insights,... (More)
This study investigates the integration of Large Language Models with the TRIZ to improve problem solving and innovation in industrial product development. By combining the structured problem-solving framework of TRIZ with LLMs to process large amounts of data and generate ideas, this hybrid approach seeks to overcome the limitations of traditional TRIZ and optimize solution generation. In a case study conducted in an industrial setting, the effectiveness of this integration was investigated by comparing team-generated solutions with those derived using LLMs and TRIZ-enhanced LLMs. The results show that while LLMs accelerate idea generation and provide practical solutions, the additional structure of TRIZ can provide unique insights, however depending on the application context. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
TRIZ, Large language models, Design methodology, Conceptual design, Design engineering
host publication
Proceedings of the Design Society : ICED25 - ICED25
volume
5
edition
2025
pages
10 pages
publisher
Cambridge University Press
conference name
ICED25 - 25th International Conference on Engineering Design
conference location
Texas, United States
conference dates
2025-08-11 - 2025-08-14
DOI
10.1017/pds.2025.10101
language
English
LU publication?
yes
id
f2eed6b2-e7fc-4e52-aebf-1f652dd9b799
date added to LUP
2025-09-05 13:01:50
date last changed
2025-09-30 11:06:09
@inproceedings{f2eed6b2-e7fc-4e52-aebf-1f652dd9b799,
  abstract     = {{This study investigates the integration of Large Language Models with the TRIZ to improve problem solving and innovation in industrial product development. By combining the structured problem-solving framework of TRIZ with LLMs to process large amounts of data and generate ideas, this hybrid approach seeks to overcome the limitations of traditional TRIZ and optimize solution generation. In a case study conducted in an industrial setting, the effectiveness of this integration was investigated by comparing team-generated solutions with those derived using LLMs and TRIZ-enhanced LLMs. The results show that while LLMs accelerate idea generation and provide practical solutions, the additional structure of TRIZ can provide unique insights, however depending on the application context.}},
  author       = {{Čok, Vanja and Samsa, Luka and Brojan, Miha and Tavčar, Jože and Vukašinović, Nikola}},
  booktitle    = {{Proceedings of the Design Society : ICED25}},
  keywords     = {{TRIZ; Large language models; Design methodology; Conceptual design; Design engineering}},
  language     = {{eng}},
  month        = {{08}},
  pages        = {{871--880}},
  publisher    = {{Cambridge University Press}},
  title        = {{Case study : is there a space for TRIZ in the era of ChatGPT?}},
  url          = {{http://dx.doi.org/10.1017/pds.2025.10101}},
  doi          = {{10.1017/pds.2025.10101}},
  volume       = {{5}},
  year         = {{2025}},
}