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master's thesis
Generativna umjetna inteligencija.
Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka, 2024. urn:nbn:hr:187:152445
Miličević, Ana
University of Rijeka
Faculty of Maritime Studies
Department of Logistics and Management

Institutional repository: Repository of the University of Rijeka, Faculty of Maritime Studies - FMSRI Repository

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Miličević, A. (2024). Generativna umjetna inteligencija. (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:152445

Miličević, Ana. "Generativna umjetna inteligencija.." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2024. https://urn.nsk.hr/urn:nbn:hr:187:152445

Miličević, Ana. "Generativna umjetna inteligencija.." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2024. https://urn.nsk.hr/urn:nbn:hr:187:152445

Miličević, A. (2024). 'Generativna umjetna inteligencija.', Master's thesis, University of Rijeka, Faculty of Maritime Studies, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:187:152445

Miličević A. Generativna umjetna inteligencija. [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies; 2024 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:187:152445

A. Miličević, "Generativna umjetna inteligencija.", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:187:152445

Metadata
TitleGenerativna umjetna inteligencija.
Title (english)General Artificial Intelligence.
AuthorAna Miličević
MentorDario Ogrizović (mentor)
MentorDavid Bačnar (komentor)
Committee memberEdvard Tijan (predsjednik povjerenstva)
Committee memberDražen Žgaljić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies
(Department of Logistics and Management)
Rijeka
Defense date and country2024-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Generativna umjetna inteligencija (GAN) ključni je alat u logistici, koristeći algoritme strojnog učenja za generiranje novih podataka sličnih onima korištenim za treniranje. GAN omogućava stvaranje realističnih podataka koji nisu prisutni u izvornom skupu podataka, što je korisno u logistici. Primjena GAN-a donosi brojne prednosti, poput optimizacije skladištenja i distribucije, što omogućuje učinkovitije upravljanje zalihama i smanjenje troškova. Također, GAN se koristi za optimizaciju logističkih ruta, smanjujući vrijeme i troškove transporta. U predviđanju potražnje, GAN omogućuje preciznija predviđanja temeljena na analizi trendova i povijesnih podataka, što pomaže u prilagodbi strategija upravljanja zalihama. GAN poboljšava učinkovitost identificiranjem obrazaca u potražnji i dinamičkim prilagođavanjem zaliha, smanjujući rizik od viška ili manjka zaliha. Korištenjem GAN-a poduzeća bolje komuniciraju s dobavljačima i prilagođavaju svoje ponude. Unatoč izazovima implementacije, GAN ima velik potencijal za transformaciju logističkih operacija, čineći ga ključnom tehnologijom budućnosti.
Abstract (english)
Generative Artificial Intelligence (GAN) is a powerful tool in logistics, using machine learning to generate new data similar to the original set. This ability makes GAN valuable for optimizing storage, reducing costs, and improving goods flow. It also aids in route optimization, decreasing transport time and costs. Accurate demand forecasting is vital for logistics. GAN enables better predictions based on trends and historical data, allowing companies to adjust production and inventory strategies. It supports effective inventory management by identifying demand patterns and dynamically adjusting stock levels, reducing the risk of shortages or excess. Additionally, GAN improves supplier communication by offering insights into market needs, enabling suppliers to adjust their offerings accordingly. Despite implementation challenges, GAN’s potential to optimize processes, forecast demand, manage inventory, and enhance supplier relationships positions it as a key technology for the future of logistics.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:152445
Study programmeTitle: Logistics and Management in Maritime Industry and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu (magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-10 12:16:57