20.500.12556/DKUM-93175 Primerjava modula kakovosti v rešitvah SAP in Infor ter vpliv umetne inteligence na njuno delovanje Comparison of the quality module in SAP and Infor solutions and the impact of artificial intelligence on their performance Diplomsko delo obravnava primerjavo modula kakovosti v dveh sodobnih ERP rešitvah, SAP in Infor, s poudarkom na analizi njunih funkcionalnosti ter raziskavi vpliva umetne inteligence na njuno delovanje. V ospredje je postavljena primerjalna analiza ključnih značilnosti, ki oblikujejo učinkovitost kakovostnega upravljanja v obeh sistemih, kot so načrtovanje kontrol, obravnava neustreznosti, sledljivost podatkov in obvladovanje stroškov kakovosti. Poleg teh osnovnih funkcionalnosti delo obravnava tudi napredne zmožnosti, ki jih omogoča integracija umetne inteligence, kot so avtomatizacija rutinskih nalog, napovedna analiza in izboljšano odločanje. Poseben poudarek je namenjen ugotavljanju, kako umetna inteligenca prispeva k večji natančnosti, odzivnosti in prilagodljivosti procesov v kakovostnem modulu ter kako se ta napredek kaže v praksi. Analiza razkriva podobnosti in razlike med sistemoma ter osvetli, v kolikšni meri umetna inteligenca že danes spreminja delovanje ERP rešitev in kakšne so njene prihodnje možnosti. Rezultati analize potrjujejo, da vključitev umetne inteligence v module kakovosti uporabnikom prinaša številne koristi, med drugim večjo avtomatizacijo, hitrejše zaznavanje odstopanj, zmanjšanje napak ter boljše temelje za strateško odločanje. Zaključki diplomskega dela potrjujejo, da sodobne ERP rešitve, ki temeljijo na umetni inteligenci, podjetjem ne omogočajo zgolj tehnološke posodobitve, temveč tudi pomembno konkurenčno prednost. V prihodnosti se pričakuje nadaljnji razvoj teh tehnologij, zato je poznavanje njihovega vpliva ključnega pomena za vsa podjetja, ki si prizadevajo za kakovostno, digitalno podprto in dolgoročno vzdržno poslovanje. The thesis deals with the comparison of the quality module in two modern ERP solutions, SAP and Infor, with an emphasis on the analysis of their functionalities and the study of the impact of artificial intelligence on their performance. The focus is on a comparative analysis of the key features that shape the effectiveness of quality management in both systems, such as control planning, handling non-conformances, data traceability and quality cost management. In addition to these basic functionalities, the work also addresses advanced capabilities enabled by the integration of artificial intelligence, such as automation of routine tasks, predictive analysis and improved decision-making. Particular emphasis is placed on how AI contributes to increased accuracy, responsiveness and flexibility of processes in the quality module, and how these advances are manifested in practice. The analysis reveals the similarities and differences between the two systems and sheds light on the extent to which AI is already changing the way ERP solutions work today and on its future potential. The results of the analysis confirm that the integration of AI in quality modules brings a number of benefits to users, including increased automation, faster detection of deviations, reduced errors and a better basis for strategic decision-making. The conclusions of the thesis confirm that modern ERP solutions based on artificial intelligence do not only provide companies with technological modernisation but also with a significant competitive advantage. As these technologies are expected to continue to evolve in the future, understanding their impact is crucial for all companies striving for a high-quality, digitally-enabled and sustainable business in the long term. ERP rešitve SAP Infor umetna inteligenca modul kakovosti. ERP solutions SAP Infor artificial intelligence quality module. true true false S. Heric Slovenski jezik Angleški jezik Diplomsko delo/naloga 2025-06-10 18:46:45 2025-08-21 10:51:34 2025-08-22 03:37:37 0000-00-00 00:00:00 2025 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.77 246177283 UN_Heric_Stas_2025.pdf UN_Heric_Stas_2025.pdf 1 24535B83B28F4A64E0EAD1966CB6B1CE 1a9217c2c09178eecdc789c9b0ba51c9e1703a61cd985d2913148b37d14252a8 290f4351-5e28-11f0-b23d-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193486 Ekonomsko-poslovna fakulteta 0 0 0