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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Tehnički glasnik - Technical Journal

ISSN

1846-6168

e-ISSN

1848-5588

Svazek periodika

19

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

8

Strana od-do

654-661

Kód UT WoS článku

001575801600020

EID výsledku v databázi Scopus

2-s2.0-105016234772