Generative AI applications in Industry 4.0 smart manufacturing

Анотація

This paper applies the concept of generative AI to Industry 4.0, utilizing smart and agile methods to enhance productivity. The extremely low computational costs of large language models and diffusion nets have made this study far more relevant, bringing GenAI technologies within the grasp of medium and large firms. Attempting to order and survey architectures for generative models, use them with cyber-physical systems and the Industrial Internet of Things (IIoT), as well as consider economic and operational impacts. The innovation presents a four-step approach: analyzing industry reports through content; providing a typology for GenAI architectures within RAMI 4.0, along with the digital thread; reviewing real-world use cases; and compiling quantitative measures. The key results show that 63% of firms now use GenAI in production: big language models produce PLC code and instructions, diffusion nets create AR content, GANs enhance the quality of checks, and graph models optimize part layout. Integration with MES/APS and IIoT data automates shift planning, predictive maintenance, and the generation of synthetic data for digital twins. Generative design based on evolutionary algorithms and CFD simulations delivers a 45% performance increase. At the same time, risks from cyber threats and model opacity are growing — XAI measures & cross-functional governance need strengthening. The optimal implementation route is through a pilot use case with a minimal digital twin and a cross-functional team, then scaling it via cloud platforms with risk controls and transparency. This article will help consulting engineers, AI researchers in industry, and project managers of digital transformation projects.

Ключові слова: generative AI; Industry 4.0; smart manufacturing; digital twin; predictive maintenance; topology design; mass customization; XAI; governance

Як цитувати

@article{internauka11150,
  author   = {Vodopianov, Vladyslav},
  title    = {Generative AI applications in Industry 4.0 smart manufacturing},
  journal  = {Міжнародний науковий журнал «Інтернаука»},
  year     = {2025},
  number   = {7},
  doi      = {10.25313/2520-2057-2025-7-11150},
  url      = {https://www.inter-nauka.com/issues/2025/7/11150}
}

TY  - JOUR
AU  - Vodopianov, Vladyslav
TI  - Generative AI applications in Industry 4.0 smart manufacturing
JO  - Міжнародний науковий журнал «Інтернаука»
PY  - 2025
IS  - 7
SN  - 2520-2057
DO  - 10.25313/2520-2057-2025-7-11150
UR  - https://www.inter-nauka.com/issues/2025/7/11150
LA  - en
ER  -