Generative AI in the manufacturing process: theoretical considerations

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dc.contributor.authorDoanh, Doung Congcs
dc.contributor.authorDufek, Zdeněkcs
dc.contributor.authorEjdys, Joannacs
dc.contributor.authorGinevičius, Romualdascs
dc.contributor.authorKorzynski, Pawelcs
dc.contributor.authorMazurek, Grzegorzcs
dc.contributor.authorPaliszkiewicz, Joannacs
dc.contributor.authorWach, Krzysztofcs
dc.contributor.authorZiemba, Ewacs
dc.coverage.issue4cs
dc.coverage.volume15cs
dc.date.issued2023-09-20cs
dc.description.abstractThe 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.en
dc.formattextcs
dc.format.extent76-89cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationEngineering Management in Production and Services. 2023, vol. 15, issue 4, p. 76-89.en
dc.identifier.doi10.2478/emj-2023-0029cs
dc.identifier.issn2543-6597cs
dc.identifier.orcid0000-0003-4616-4142cs
dc.identifier.other186997cs
dc.identifier.urihttp://hdl.handle.net/11012/245050
dc.language.isoencs
dc.publisherSciendocs
dc.relation.ispartofEngineering Management in Production and Servicescs
dc.relation.urihttps://sciendo.com/article/10.2478/emj-2023-0029cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2543-6597/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectGenerative AIen
dc.subjectChatGPTen
dc.subjectIndustry 4.0en
dc.subjecttechnologyen
dc.subjectmanufacturing processesen
dc.titleGenerative AI in the manufacturing process: theoretical considerationsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-186997en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:45:14en
sync.item.modts2025.01.17 19:35:24en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební ekonomiky a řízenícs
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