Modeli upravljanja zalihama i mogućnost primjene umjetne inteligencije u sustavu upravljanja zalihama

master's thesis

• Title (english): Inventory management models and the possibility of applying artificial intelligence in the inventory management system
• Author: Tomislav Abičić
• Mentor: Tihomir Opetuk (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2025-02-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; Production Mechanical Engineering

Abstract

Ovaj rad istražuje suvremene metode upravljanja zalihama, uključujući implementaciju umjetne inteligencije i njezinu integraciju u ERP sustave. Naglašena je važnost optimizacije zaliha, smanjenja troškova i poboljšanja kvalitete usluga putem AI tehnologija. Rad također analizira utjecaj geopolitičkih čimbenika na opskrbne lance te predstavlja studije slučaja koje prikazuju uspješnu primjenu AI-a u praksi. Zaključak rada ističe kako modernizacija sustava upravljanja zalihama predstavlja ključni faktor za održavanje konkurentnosti poduzeća.

Abstract (english)

This thesis explores modern inventory management methods, including the implementation of artificial intelligence and its integration into ERP systems. It highlights the importance of inventory optimization, cost reduction, and service quality improvement through AI technologies. The paper also examines the impact of geopolitical factors on supply chains and presents case studies demonstrating the successful application of AI in practice. The conclusion emphasizes that modernizing inventory management systems is a critical factor in maintaining business competitiveness.

• Keywords: upravljanje zalihama; umjetna inteligencija; ERP; geopolitički čimbenici; optimizacija
• Keywords (english): inventory management; artificial intelligence; ERP; geopolitical factors; optimization.
• Language: croatian
• URN:NBN: urn:nbn:hr:235:092799
• Study programme: Title: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechanics and Robotics, Autonomous Systems, Mechatronics and Robotics; Course: Industrial Engineering and Management; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva (sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-02-03 13:31:13