Primjena umjetne inteligencije za planiranje građevinskih projekata

Kobašević, Ema

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master's thesis

Primjena umjetne inteligencije za planiranje građevinskih projekata

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2025. urn:nbn:hr:133:037931

Kobašević, Ema

Josip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
Department for Organization, Technology and Management

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APA 6th Edition

Kobašević, E. (2025). Primjena umjetne inteligencije za planiranje građevinskih projekata (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:133:037931

MLA 8th Edition

Kobašević, Ema. "Primjena umjetne inteligencije za planiranje građevinskih projekata." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2025. https://urn.nsk.hr/urn:nbn:hr:133:037931

Chicago 17th Edition

Harvard

Kobašević, E. (2025). 'Primjena umjetne inteligencije za planiranje građevinskih projekata', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, accessed 22 March 2025, https://urn.nsk.hr/urn:nbn:hr:133:037931

Vancouver

Kobašević E. Primjena umjetne inteligencije za planiranje građevinskih projekata [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek; 2025 [cited 2025 March 22] Available at: https://urn.nsk.hr/urn:nbn:hr:133:037931

IEEE

E. Kobašević, "Primjena umjetne inteligencije za planiranje građevinskih projekata", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Osijek, 2025. Available at: https://urn.nsk.hr/urn:nbn:hr:133:037931

Cite this item: https://urn.nsk.hr/urn:nbn:hr:133:037931

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Metadata

Title	Primjena umjetne inteligencije za planiranje građevinskih projekata
Title (english)	Application of artificial intelligence for construction project planning
Author	Ema Kobašević
Mentor	Mario Galić (mentor)
Committee member	Zlata Dolaček-Alduk (predsjednik povjerenstva)
Committee member	Mario Galić (član povjerenstva)
Committee member	Hrvoje Krstić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Civil Engineering and Architecture Osijek (Department for Organization, Technology and Management) Osijek
Defense date and country	2025-02-20, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Civil Engineering Construction Organization and Technology
Abstract	Tema diplomskog rada bavi se analizom primjene umjetne inteligencije u građevinarstvu sa posebnim fokusom na procese planiranja. U teorijskom dijelu rada obuhvaćeno je planiranje građevinskih projekata, vremensko planiranje, veze kojima se međusobno povezuju aktivnosti i metode koje se koriste kao pomoć pri planiranju projekta. Poseban naglasak stavljen je na razliku između vremenskog planiranja i planiranja općenito. Također, obrađen je razvoj umjetne inteligencije i njezina implementacija u građevinarstvu sa naglaskom na benefite koje njezina primjena donosi projektima. Praktični dio rada uključuje dvije studije slučaja gdje je ispitana mogućnost umjetne inteligencije da izračuna trajanje projekta i odredi kritični put. Također, jedna od studija slučaja proširena je ispitivanjem sposobnosti otkrivanja troškovno značajne aktivnosti i prekomjerne alokacije radnika.
Abstract (english)	The topic of this thesis deals with the analysis of the application of artificial intelligence in construction, with a particular focus on planning processes. The theoretical part of the paper covers construction project planning, scheduling, the relationships that connect activities, and methods used as aids in project planning. Special emphasis is placed on the difference between scheduling and general planning. Additionally, the development of artificial intelligence and its implementation in construction is discussed, with a focus on the benefits that its application brings to projects. The practical part of the thesis includes two case studies, where the possibility of artificial intelligence calculating project duration and determining the critical path is examined. Furthermore, one of the case studies is extended by investigating the ability to identify costsignificant activities and excessive worker allocation.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:133:037931
Study programme	Title: University Graduate Studies of Civil Engineering; specializations in: Hydraulic Engineering, Bearing structures, Course of Construction management and technology, Transport Infrastructure Course: Course of Construction management and technology Study programme type: university Study level: graduate Academic / professional title: sveučilišni/a magistar/magistra inženjer građevinarstva (sveučilišni/a magistar/magistra inženjer građevinarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Access restricted to students and staff of home institution
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Created on	2025-02-26 13:52:46