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master's thesis
Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje
2021. urn:nbn:hr:133:831214
Aračić, Vedran
Josip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
Department for Organization, Technology and Management

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Aračić, V. (2021). Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje (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:133:831214

Aračić, Vedran. "Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:133:831214

Aračić, Vedran. "Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:133:831214

Aračić, V. (2021). 'Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:133:831214

Aračić V. Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek; 2021 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:133:831214

V. Aračić, "Modeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:133:831214

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Metadata
TitleModeli predviđanja kumulativnih troškova izgradnje u projektima visokogradnje
Title (english)Models for predicting cumulative construction costs in building construction projects
AuthorVedran Aračić
MentorMario Galić (mentor)
MentorIvana Šandrk Nukić (komentor)
Committee memberSaša Marenjak (predsjednik povjerenstva)
Committee memberMario Galić (član povjerenstva)
Committee memberIvana Šandrk Nukić (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 country2021-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Construction Organization and Technology
Abstract
Cilj ovog diplomskog rada je usporediti S-krivulje matematičkih modela sa S-krivuljama stvarnih izvedenih projekata te odrediti koji model ima najbolju korelaciju. U uvodu i drugom poglavlju smo opisali planiranje toka novca te prikaz podataka putem tablica i S-krivulja. U trećem poglavlju smo predstavili modele opčenito te nakon toga opisali svaki model zasebno. Opisali smo idiografski logit model Kenleya i Wilsona te nakon toga nomotetske modele Bromilow, Miskawi, Tucker, Peer, Boussabain i Elhag te DHHS. U sljedećem dijelu, S-krivulje tih modela redom usporedili smo sa S-krivuljama svakog od 9 primjera izvedenih graĎevinskih projekata. Kod svih građevinskih projekata koristili smo se empirijskim podacima u postotcima od 0 do 100 %. Nakon što smo usporedili S-krivulje, izračunali smo korelacije svih modela te odredili koji ima najbolju korelaciju, zatim prodiskutirali i donijeli zaključak.
Abstract (english)
This thesis aims to compare the S-curves of mathematical models with the S-curves of actual projects and to determine which model is the best fit. The introduction and second chapter described cash flow planning and data display via tables and S-curves. In the third chapter, we presented the models in general and then described each model separately. We described the idiographic logit model of Kenley and Wilson and then the nomothetic models of Bromilow, Miskawi, Tucker, Peer, Boussabain and Elhag, and DHHS. In the next section, we compared the S-curves of these models with the S-curves of each of the 9 examples of completed construction projects. In all construction projects, we used empirical data in percentages from 0 to 100 %. After comparing the S-curves, we calculated which model is the best fit for each of these projects, discussed, and reached a conclusion.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:133:831214
Study programmeTitle: University graduate study in civil engineering; specializations in: Hydraulic engineering, Supporting structures, Construction management and technology, Transportation engineering
Course: Hydraulic engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka građevinarstva (magistar/magistra inženjer/inženjerka građevinarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-10-20 07:17:31