Applications of Generative AI in the Product Development Process: A Scoping Review
DS 133: Proceedings of the 35th Symposium Design for X (DFX2024)
Year: 2024
Editor: Dieter Krause; Kristin Paetzold-Byhain; Sandro Wartzack
Author: Elias Berger; Felix Braun; Jan Mehlstaubl; Kristin Paetzold-Byhain
Series: DfX
Institution: Chair for Virtual Product Development, Technical University Dresden; MAN Truck & Bus SE
Page(s): 055-064
DOI number: 10.35199/dfx2024.06
Abstract
Generative Artificial Intelligence is revolutionizing industries such as software development and holds promise for transforming digital engineering, product development, and the entire product life cycle. This study reviews 22 documented use cases where GenAI enhances different stages of the product life cycle, emphasizing its potential to drive cost efficiencies, accelerate time to market, and enhance customization capabilities. By synthesizing findings from academic databases, grey literature, and expert insights this paper provides a first comprehensive overview of GenAI's emerging applications in industrial settings, aggregating opportunities, and challenges in its adoption. We conclude that emerging use cases of GenAI in digital engineering emphasize the need for further investigation.
Keywords: generative artificial intelligence, product development, digital engineering