Primjena generativne umjetne inteligencije u proizvodnji

undergraduate thesis

• Title (english): Application of generative artifical intelligence in manufacturing
• Author: Jakov Rogić
• Mentor: Hrvoje Cajner (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2024-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; Production Mechanical Engineering

Abstract

U radu je obrađena tema primjene generativne umjetne inteligencije u proizvodnji. Na početku je objašnjen pojam Industrije 4.0 te sam koncept umjetne inteligencije, nakon čega su predstavljeni modeli generativne umjetne inteligencije. Prikazana je primjena umjetne inteligencije u različitim granama proizvodnje, uključujući dizajn, kontrolu kvalitete i planiranje proizvodnih procesa. Poseban naglasak stavljen je na izazove s kojima se kompanije susreću prilikom implementacije generativne umjetne inteligencije. Na primjeru tvornice za učenje, detaljno je analizirana primjena umjetne inteligencije u proizvodnji kugličnih ležajeva za željezničku industriju, pri čemu je obrađena učinkovitost prediktivnog održavanja.

Abstract (english)

The subject of the paper addresses the topic of applying generative artificial intelligence in
manufacturing. The study explains the concept of Industry 4.0 and artificial intelligence itself,
followed by an introduction to generative artificial intelligence models. The application of
artificial intelligence in various branches of manufacturing, including design, quality control,
and production process planning, is presented. Special emphasis is placed on the challenges
companies face when implementing generative artificial intelligence. Using a learning factory
as an example, the study provides a detailed analysis of the application of artificial intelligence
in the production of ball bearings for the railway industry, focusing on the effectiveness of
predictive maintenance.

• Keywords: industrija 4.0; umjetna inteligencija; generativna umjetna inteligencija; proizvodni procesi; prediktivno održavanje; kontrola kvalitete.
• Keywords (english): industry 4.0; artificial intelligence; generative artificial intelligence; production processes; predictive maintenance; quality control
• Language: croatian
• URN:NBN: urn:nbn:hr:235:540004
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-09-23 11:30:10