<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Generative AI in the Manufacturing Process: Theoretical Considerations

Engineering Management in Production and Services

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Generative AI in the Manufacturing Process: Theoretical Considerations"}

The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several...

Generative AI in the Manufacturing Process: Theoretical Considerations

Publié en ligne: 29 déc. 2023

Pages: 76 - 89

Reçu: 15 mars 2023

Accepté: 20 sept. 2023

DOI: https://doi.org/10.2478/emj-2023-0029

Mots clés
Generative AI, ChatGPT, Industry 4.0, technology, manufacturing processes

© 2023 Doung Cong Doanh et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Generative AI in the Manufacturing Process: Theoretical Considerations

Publié en ligne: 29 déc. 2023

Pages: 76 - 89

Reçu: 15 mars 2023

Accepté: 20 sept. 2023

DOI: https://doi.org/10.2478/emj-2023-0029

Mots clésGenerative AI, ChatGPT, Industry 4.0, technology, manufacturing processes

© 2023 Doung Cong Doanh et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Generative AI, ChatGPT, Industry 4.0, technology, manufacturing processes