Publication detail

Generative AI in the manufacturing process: theoretical considerations

DOANH, D. DUFEK, Z. EJDYS, J. GINEVIČIUS, R. KORZYNSKI, P. MAZUREK, G. PALISZKIEWICZ, J. WACH, K. ZIEMBA, E.

Original Title

Generative AI in the manufacturing process: theoretical considerations

Type

journal article in Scopus

Language

English

Original Abstract

The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of the Industry 4.0 field have been considered, such as the design of new products, workforce and skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, and marketing strategy. The paper adopts qualitative research based on a critical review approach. It provides evidence of the GAI technology support in the mentioned areas. Appropriate use of emerging technology allows managers to transform manufacturing by optimising processes, improving product design, enhancing quality control, and contributing to overall efficiency and innovation in the industry. Simultaneously, GAI technologies facilitate predictive analytics to forecast and anticipate future demand, quality issues, and potential risks, improve a marketing strategy and identify market trends.

Keywords

Generative AI; ChatGPT; Industry 4.0; technology; manufacturing processes

Authors

DOANH, D.; DUFEK, Z.; EJDYS, J.; GINEVIČIUS, R.; KORZYNSKI, P.; MAZUREK, G.; PALISZKIEWICZ, J.; WACH, K.; ZIEMBA, E.

Released

20. 9. 2023

Publisher

Sciendo

Location

Poland

ISBN

2543-6597

Periodical

Engineering Management in Production and Services

Year of study

15

Number

4

State

Republic of Poland

Pages from

76

Pages to

89

Pages count

14

URL

https://sciendo.com/article/10.2478/emj-2023-0029

Full text in the Digital Library

http://hdl.handle.net/11012/245050

BibTex

@article{BUT186997,
  author="Doung Cong {Doanh} and Zdeněk {Dufek} and Joanna {Ejdys} and Romualdas {Ginevičius} and Pawel {Korzynski} and Grzegorz {Mazurek} and Joanna {Paliszkiewicz} and Krzysztof {Wach} and Ewa {Ziemba}",
  title="Generative AI in the manufacturing process: theoretical considerations",
  journal="Engineering Management in Production and Services",
  year="2023",
  volume="15",
  number="4",
  pages="76--89",
  doi="10.2478/emj-2023-0029",
  issn="2543-6597",
  url="https://sciendo.com/article/10.2478/emj-2023-0029"
}