Analiza možnosti uporabe umetne inteligence v upravljanju dobavne verige

diplomsko delo

Tilen Ketiš (Author), Katja Crnogaj (Mentor)

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;dobavne verige;upravljanje dobavnih verig;etične dileme;Covid-19;

Data

Language:	Slovenian
Year of publishing:	2023
Typology:	2.11 - Undergraduate Thesis
Organization:	UM EPF - Faculty of Economics and Business
Publisher:	T. Ketiš
UDC:	004.8:658.7
COBISS:	171174659
Views:	32
Downloads:	3
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis of the possibilities of using artificial intelligence in supply chain management
Secondary 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.
Secondary keywords:	Artificial Intelligence;Supply Chain;Supply Chain Management;COVID-19;Ethical Dilemmas;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Ekonomsko-poslovna fak.
Pages:	1 spletni vir (1 datoteka PDF (III, 42 str.))
ID:	19891585