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Title:Analiza možnosti uporabe umetne inteligence v upravljanju dobavne verige
Authors:ID Ketiš, Tilen (Author)
ID Crnogaj, Katja (Mentor) More about this mentor... New window
Files:.pdf UN_Ketis_Tilen_2023.pdf (1,24 MB)
MD5: D8E94AD6F045BF2C120530F7D7753658
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:V diplomskem delu smo se poglobili v raziskavo in analizo vloge umetne inteligence v upravljanju dobavne verige. V uvodnih poglavjih smo predstavili teoretično ozadje umetne inteligence, njen razvoj in uporabo v različnih industrijskih sektorjih. V osrednjem delu naloge smo se osredotočili na povezavo med umetno inteligenco in dobavno verigo, pri čemer smo raziskali, kako umetna inteligenca prispeva k učinkovitosti, optimizaciji in inovacijam v upravljanju dobavne verige. Podrobno smo se lotili vpliva pandemije COVID-19 na dobavne verige in kako je umetna inteligenca pomagala podjetjem prilagoditi se na spremembe ter obvladovati izzive, ki jih je prinesla pandemija. Osredotočili smo se na različne vidike uporabe tehnologije umetne inteligence, kot so napovedovanje povpraševanja, optimizacija logistike, avtomatizacija skladiščenja in mnoge druge. Poglobili smo se v etične dileme in izzive, ki jih prinaša uporaba tehnologije v dobavni verigi, ter razpravljali o potencialnih rešitvah in pristopih za njihovo obravnavo. S pomočjo analize podatkov in študije primera smo predstavili konkretne primere uporabe umetne inteligence v upravljanju dobavne verige ter ugotovitve in rezultate, ki jih je dala ta tehnologija. Diplomsko delo smo zaključili z razpravo o ugotovitvah in priporočilih za uporabo tehnologije v sektorju dobavne verige v prihodnje. Analiza je pokazala, da ima umetna inteligenca velik potencial za preoblikovanje in izboljšanje dobavne verige, hkrati pa je treba ustrezno obravnavati tudi izzive in etične dileme, ki jih le-ta prinaša.
Keywords:umetna inteligenca, dobavna veriga, upravljanje dobavne verige, COVID-19, etične dileme
Place of publishing:Maribor
Publisher:T. Ketiš
Year of publishing:2023
PID:20.500.12556/DKUM-85624-dfbcd55d-62ab-3f47-c649-47d4784abbcc New window
UDC:004.8:658.7
COBISS.SI-ID:171174659 New window
Publication date in DKUM:07.11.2023
Views:530
Downloads:93
Metadata:XML DC-XML DC-RDF
Categories:EPF
:
KETIŠ, Tilen, 2023, Analiza možnosti uporabe umetne inteligence v upravljanju dobavne verige [online]. Bachelor’s thesis. Maribor : T. Ketiš. [Accessed 15 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=85624
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:04.09.2023

Secondary language

Language:English
Title:Analysis of the possibilities of using artificial intelligence in supply chain management
Abstract:In the diploma thesis, we delved into the research and analysis of the role of artificial intelligence in supply chain management. The introductory chapters – presented the theoretical background of artificial intelligence, its development, and its application in various industrial sectors. The core of the thesis focused on the connection between artificial intelligence and the supply chain and explored how artificial intelligence contributes to efficiency, optimization, and innovations in supply chain management. We took an in-depth look at the impact of the COVID-19 pandemic on supply chains and examined how artificial intelligence helps companies adapt to change and overcome the challenges caused by the pandemic. We focused on various aspects of the use of artificial intelligence technologies, such as demand forecasting, logistics optimization, warehouse automation, and many others. We then delved into the ethical dilemmas and challenges of using this technology in the supply chain and discussed potential solutions and approaches to address them. Data analysis and case studies were used to present specific examples of the use of artificial intelligence in supply chain management, as well as the findings and results achieved through this technology. We concluded the thesis with a discussion of the findings and recommendations for the future use of this technology in the supply chain sector. Our analysis has shown that artificial intelligence holds significant potential for supply chain transformation and improvement, but that it's also essential to properly address the associated challenges and ethical dilemmas.
Keywords:Artificial Intelligence, Supply Chain, Supply Chain Management, COVID-19, Ethical Dilemmas


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