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Technical Journal, Vol. 19 No. 4, 2025.

Review article

https://doi.org/10.31803/tg-20240518201700

Improving Manufacturing Processes through Artificial Intelligence - Example of Printed Circuit Board Manufacturing

Jiri Tupa ; University of West Bohemia, Department of Materials and Technology, Univerzitni 26, Pilsen, Czech Republic *
Andrea Benesova orcid id orcid.org/0000-0003-0879-7846 ; University of West Bohemia, Department of Materials and Technology, Univerzitni 26, Pilsen, Czech Republic
Frantisek Steiner orcid id orcid.org/0000-0002-5702-7015 ; University of West Bohemia, Department of Materials and Technology, Univerzitni 26, Pilsen, Czech Republic
Tomas Rericha ; University of West Bohemia, Department of Materials and Technology, Univerzitni 26, Pilsen, Czech Republic

* Corresponding author.

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Abstract

The advent of Artificial Intelligence (AI) in manufacturing has heralded a new era of industrial revolution, characterised by unprecedented efficiency, productivity, and innovation. This critical review delves into the application of AI technologies in the manufacturing sector, scrutinising their impact on process enhancement and addressing the spectrum of opportunities and challenges they present. By thoroughly analysing recent studies, industry reports, and case examples, this paper outlines the transformative potential of AI in various manufacturing domains, including predictive maintenance, supply chain optimisation, quality control, and intelligent manufacturing. However, the paper does not shy away from discussing the critical challenges facing the deployment of AI in manufacturing. These include technical limitations, data privacy and security concerns, the need for substantial investment, and the socio-economic implications of workforce displacement and skill gaps. Concluding with a forward-looking perspective, the review suggests practical strategies for overcoming these hurdles, such as fostering public-private partnerships, investing in AI literacy and training, and adopting ethical guidelines for AI use.

Keywords

artificial intelligence; lean management; predictive maintenance; printed circuit board; process improvement; quality management

Hrčak ID:

335280

URI

https://hrcak.srce.hr/335280

Publication date:

15.12.2025.

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