20.500.12556/DKUM-96377 Primerjava klasičnega in inteligentnega terminiranja proizvodnje z umetno inteligenco v podjetju RaMaX engineering d. o. o. magistrsko delo Comparison of Classical and Intelligent Production scheduling with Artificial Intelligence at RaMaX Engineering d. o. o. V magistrskem delu je predstavljena primerjava klasičnega terminiranja proizvodnje s sodobnimi pristopi z uporabo umetne inteligence. Glavni cilj naloge je bil preučiti uporabo genetskega algoritma pri terminiranju proizvodnje v primerjavi s klasičnimi pristopi. Za razvoj kode genetskega algoritma je bil uporabljen programski jezik Python. Rezultati pokažejo, da umetna inteligenca ni zamenjava za človeka in njegovo delo, temveč zelo koristno in uporabno orodje, s katerim si lahko delo olajšamo. Z uporabo genetskega algoritma pri terminiranju proizvodnje se v primerjavi s klasičnimi pristopi skrajša čas izdelave terminskega plana ter poveča izkoriščenost strojev. This master’s thesis presents a comparison between classical production scheduling and modern approaches using artificial intelligence. The main objective of the thesis was to examine the use of a genetic algorithm for production scheduling in comparison with classical methods. The Python programming language was used to develop the genetic algorithm code. The results show that artificial intelligence is not a replacement for humans and their work, but rather a very useful tool that can significantly support and simplify work processes. The use of a genetic algorithm for production scheduling reduces the time required to generate the schedule and increases machine utilization compared to classical approaches. terminiranje proizvodnje umetna inteligenca genetski algoritem primerjava klasičnih in sodobnih metod production scheduling artificial intelligence genetic algorithm comparison of classical and modern methods true true false [Š. Rojc] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-12-23 07:43:08 2026-01-27 14:30:49 2026-01-30 03:11:49 0000-00-00 00:00:00 2025 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (XI, 84 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 658.512/.514:004.8(043.2) 266676739 MAG_Rojc_Spela_2026.pdf MAG_Rojc_Spela_2026.pdf 1 98D92E0C3ADEBDE7B9A284D515D63F74 772648a040eaf7f1b408cf37daa379fe5ec4d972374239a187bec1ea54f8b529 d637c5db-f9f3-11f0-9d6d-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202520 Fakulteta za strojništvo 0 0 0