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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F25%3A43976320" target="_blank" >RIV/49777513:23220/25:43976320 - isvavai.cz</a>

Result on the web

<a href="https://hrcak.srce.hr/en/file/484987" target="_blank" >https://hrcak.srce.hr/en/file/484987</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.31803/tg-20240518201700" target="_blank" >10.31803/tg-20240518201700</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Tehnički glasnik - Technical Journal

ISSN

1846-6168

e-ISSN

1848-5588

Volume of the periodical

19

Issue of the periodical within the volume

4

Country of publishing house

HR - CROATIA

Number of pages

8

Pages from-to

654-661

UT code for WoS article

001575801600020

EID of the result in the Scopus database

2-s2.0-105016234772