Povećanje produktivnosti proizvodnog poduzeća primjenom dubokog učenja

master's thesis

• Title (english): Increasing the productivity of a manufacturing enterprise by applying deep learning
• Author: Karlo Puzak
• Mentor: Nedeljko Štefanić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2020-12-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

Klasični proizvodni pogoni suočavaju se s izazovima u pronalaženju adekvatne radne snage, opstanka na tržištu i povećanjem profitabilnosti. Razvojem novih tehnologija stvaraju se nove multidisciplinarne struke koje omogućavaju spajanje nekoliko razdvojenih struka poput primjerice psihologije i računarstva za analizu i predikciju zapošljavanja, pa se tako i kreiraju nova radna mjesta koja zahtijevaju drugačije kompetencije i znanja koja nisu zaobišla ni strojarstvo. U ovom radu stavit će se fokus na primjenu umjetne inteligencije u strojarstvu. Umjetna inteligencija razvijala se od 50-ih godina prošlog stoljeća, a razvija se i danas sve više. U strojarstvu se najviše koristi u obliku prediktivnih modela za procjenu nastanka kvarova, optimizacije ruta vozila ili vizijsko komisioniranje pomoću proširene stvarnosti.

Abstract (english)

Traditional manufacturing is facing hardships with regards to staying competitive on the market, employing the best people, and increasing the revenue. With the improvements the technology, new multidisciplinary professions are emerging. In every field of work, people are required to have new knowledge and the same is for the manufacturing industry. This thesis focuses on explaining the effects of machine learning and artificial intelligence on mechanical and manufacturing processes. Mechanical engineering is mostly using predictive analytics to detect defects in equipment, vehicle route optimization or visionary commissioning in combination with augmented reality.

• Keywords: Umjetna inteligencija; strojno učenje; duboko učenje; industrija 4.0; pametna tvornica; IoT
• Keywords (english): Artificial intelligence; machine learning; deep learning; industry 4.0; smart factory; IoT
• Language: croatian
• URN:NBN: urn:nbn:hr:235:077089
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-11-30 20:45:20