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master's thesis
Primjena umjetne inteligencije za planiranje građevinskih projekata
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

Cite this document

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

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

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

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 26 February 2025, https://urn.nsk.hr/urn:nbn:hr:133:037931

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 February 26] Available at: https://urn.nsk.hr/urn:nbn:hr:133:037931

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

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Metadata
TitlePrimjena umjetne inteligencije za planiranje građevinskih projekata
Title (english)Application of artificial intelligence for construction project planning
AuthorEma Kobašević
MentorMario Galić (mentor)
Committee memberZlata Dolaček-Alduk (predsjednik povjerenstva)
Committee memberMario Galić (član povjerenstva)
Committee memberHrvoje Krstić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
(Department for Organization, Technology and Management)
Osijek
Defense date and country2025-02-20, 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)
Languagecroatian
URN:NBNurn:nbn:hr:133:037931
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2025-02-26 13:52:46