Generative AI in the manufacturing process: theoretical considerations
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Date
2023-09-20
Authors
Doanh, Doung Cong
Dufek, Zdeněk
Ejdys, Joanna
Ginevičius, Romualdas
Korzynski, Pawel
Mazurek, Grzegorz
Paliszkiewicz, Joanna
Wach, Krzysztof
Ziemba, Ewa
ORCID
0000-0003-4616-4142Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Sciendo
Altmetrics
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.
Description
Citation
Engineering Management in Production and Services. 2023, vol. 15, issue 4, p. 76-89.
https://sciendo.com/article/10.2478/emj-2023-0029
https://sciendo.com/article/10.2478/emj-2023-0029
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
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Document licence
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/