Naslov
Project Management by Modified Gaussian S-Curve

Autori
Križaić, Vladimir ; Hranj, Dražen

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Conference Proceedings : 14th International Conference Organization, Technology and Management in Contruction and 7th International project management Association Research Conference / Završki, Ivica ; Cerić, Anita ; Vukomanović, Mladen ; Huemann, Martina ; Ronggui, Ding - Zagreb, 2019, 208-213

ISBN
978-953-7686-08-6

Skup
14th International Conference: Organization, Technology and Management in Construction (OTMC) and 7th International Project Management Association Research Conference (IPMA)

Mjesto i datum
Zagreb, Hrvatska, 04.09.2019. - 07.09.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Project Management ; Modified Gaussian S-Curve ; Business Risks ; Contracted Costs and Deadlines

Sažetak
Project management within the construction company ‘Međimurje graditeljstvo d.o.o’, based on past data and standard technology of the company results in gaining S-curve dispersion. The mathematical definition of the S-curve was dealt with by many scientists such as mathematicians, economists and constructors. ‘Međimurje graditeljstvo d.o.o’ mainly executes high-rise buildings, and has recently specialized in the construction of structures since they are strong in the formwork and roofing technology. The S-curve designates costs and revenues by means of a cumulative curve during project duration, and in realization enables timely regulation of the execution system. Therefore, in addition to the existing S-curve equations, by using statistical and mathematical methods, a new modified Gaussian S-curve is created in function of cost and time of realization. Nowadays, finance is an important factor in project management because if the financial engineering declines there is no realization of the project. Monitoring the distribution of the existing works on the former projects creates a picture of the company's modeling behavior during project realization. Therefore, the previous projects recognize the company's behavior in the given project conditions using financial indicators. This reduces business risks because by calculating the dispersion of the S-curve distribution, the behavior of the system on future projects can be predicted in relation to the contracted amounts and the agreed project implementation deadlines

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Interdisciplinarne tehničke znanosti

POVEZANOST RADA