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Title:Primerjava modula kakovosti v rešitvah SAP in Infor ter vpliv umetne inteligence na njuno delovanje
Authors:ID Heric, Staš (Author)
ID Sternad Zabukovšek, Simona (Mentor) More about this mentor... New window
Files:.pdf UN_Heric_Stas_2025.pdf (2,50 MB)
MD5: 24535B83B28F4A64E0EAD1966CB6B1CE
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract: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.
Keywords:ERP rešitve, SAP, Infor, umetna inteligenca, modul kakovosti.
Place of publishing:Maribor
Publisher:S. Heric
Year of publishing:2025
PID:20.500.12556/DKUM-93175 New window
UDC:004.77
COBISS.SI-ID:246177283 New window
Publication date in DKUM:21.08.2025
Views:134
Downloads:36
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:10.06.2025

Secondary language

Language:English
Title:Comparison of the quality module in SAP and Infor solutions and the impact of artificial intelligence on their performance
Abstract: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.
Keywords:ERP solutions, SAP, Infor, artificial intelligence, quality module.


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