Detail publikačního výsledku

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.

Originální název

Generative AI in the manufacturing process: theoretical considerations

Anglický název

Generative AI in the manufacturing process: theoretical considerations

Druh

Článek Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2024

Vydáno

20.09.2023

Nakladatel

Sciendo

Místo

Poland

ISSN

2543-6597

Periodikum

Engineering Management in Production and Services

Svazek

15

Číslo

4

Stát

Polská republika

Strany od

76

Strany do

89

Strany počet

14

URL

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

Plný text v Digitální knihovně

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"
}

Dokumenty

Generative-AI-in-the-Manufacturing-Process-Theoretical-Considerations