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2025 | OriginalPaper | Chapter

AI-Aided Resource Mining Method for Idealization-Driven Product Innovation

Authors : Ranye Du, Jianguang Sun, Runze Miao, Delong Zhang

Published in: World Conference of AI-Powered Innovation and Inventive Design

Publisher: Springer Nature Switzerland

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Abstract

The chapter delves into the shift in enterprise production goals towards product functionality and the critical role of resource management in innovation. It introduces an AI-aided resource mining method that integrates ChatGPT to discover internal and external resources, improving the efficiency and sustainability of product innovation. The method involves training ChatGPT to identify resources and constructing a patent database for text mining, followed by a multi-criteria evaluation using AHP-EWM-TOPSIS. The case study on electrofusion welding machines demonstrates the practical application of this method, highlighting its potential to revolutionize product design and innovation.

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Title: AI-Aided Resource Mining Method for Idealization-Driven Product Innovation
Authors: Ranye Du
Jianguang Sun
Runze Miao
Delong Zhang
Publisher: Springer Nature Switzerland
Book: World Conference of AI-Powered Innovation and Inventive Design
Print ISBN: 978-3-031-75918-5

Electronic ISBN: 978-3-031-75919-2

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-3-031-75919-2_9

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