Generative AI in manufacturing: a literature review of recent applications and future prospects

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Abstract

The manufacturing sector has witnessed significant transformations in recent years, driven by the rapid advancements in artificial intelligence (AI) and its applications. Among the various AI technologies, Generative AI (GenAI) has emerged as a promising tool for revolutionizing the manufacturing process. This review paper provides an overview of the latest developments and applications of GenAI in the manufacturing process, highlighting its potential in the manufacturing process by reviewing the journal articles published in 2024 (Jan-May). This paper explores the landscape of GenAI in manufacturing, focusing on Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-Based Models. The paper underscores the pivotal role of GenAI in enhancing productivity, quality control, predictive maintenance, supply chain optimization, customization, and sustainability in manufacturing.
Original languageEnglish
JournalProcedia CIRP
Volume132
Pages (from-to)1-6
ISSN2212-8271
DOIs
Publication statusPublished - 2025
Event12th CIRP Global Web Conference (CIRPe 2024) - Online event
Duration: 22 Oct 202423 Oct 2024

Conference

Conference12th CIRP Global Web Conference (CIRPe 2024)
LocationOnline event
Period22/10/202423/10/2024

Keywords

  • Manufacturing
  • Generative AI (GenAI)
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer-Based Models

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