TY  - CONF
AU  - Simić, Nevena
AU  - Petronijević, Predrag
AU  - Devedžić, Aleksandar
AU  - Ivanović, Marija
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3223
AB  - This paper analyses the problem of estimating the required quantities of major work items in the construction of residential and residential-commercial buildings using machine learning algorithms. The goal is to form a model that will provide a fast and sufficiently accurate estimate of the quantities of major work items, based on a small amount of known information on the technical characteristics and the environment of future residential and residential-commercial buildings. The case study included 71 projects of residential and residential-commercial buildings construction realised on the territory of the Republic of Serbia. Several models have been developed, and the paper presents those models that had the best performances. The models developed in this way can significantly contribute to resource planning and the accuracy of cost estimates in the early project phases.
C3  - STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV
T1  - Preliminary quantity estimation in construction using machine learning methods
DO  - 10.7251/STP2215083S
ER  - 

@conference{
author = "Simić, Nevena and Petronijević, Predrag and Devedžić, Aleksandar and Ivanović, Marija",
year = "2022",
abstract = "This paper analyses the problem of estimating the required quantities of major work items in the construction of residential and residential-commercial buildings using machine learning algorithms. The goal is to form a model that will provide a fast and sufficiently accurate estimate of the quantities of major work items, based on a small amount of known information on the technical characteristics and the environment of future residential and residential-commercial buildings. The case study included 71 projects of residential and residential-commercial buildings construction realised on the territory of the Republic of Serbia. Several models have been developed, and the paper presents those models that had the best performances. The models developed in this way can significantly contribute to resource planning and the accuracy of cost estimates in the early project phases.",
journal = "STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV",
title = "Preliminary quantity estimation in construction using machine learning methods",
doi = "10.7251/STP2215083S"
}

Simić, N., Petronijević, P., Devedžić, A.,& Ivanović, M.. (2022). Preliminary quantity estimation in construction using machine learning methods. in STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV.
https://doi.org/10.7251/STP2215083S

Simić N, Petronijević P, Devedžić A, Ivanović M. Preliminary quantity estimation in construction using machine learning methods. in STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV. 2022;.
doi:10.7251/STP2215083S .

Simić, Nevena, Petronijević, Predrag, Devedžić, Aleksandar, Ivanović, Marija, "Preliminary quantity estimation in construction using machine learning methods" in STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV (2022),
https://doi.org/10.7251/STP2215083S . .

TY  - JOUR
AU  - Simić, Nevena
AU  - Devedžić, Aleksandar
AU  - Ivanović, Marija
AU  - Petronijević, Predrag
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2620
AB  - Ovaj rad se bavi problemom procena potrebnih količina radova, kao i koštanja izgradnje stambenih i stambeno-poslovnih objekata korišćenjem algoritama mašinskog učenja. Osnovni cilj je analiza mogućnosti primene mašinskog učenja za razvoj modela koji će za kratko vreme pružiti dovoljno preciznu preliminarnu procenu potrebnih količina i cena glavnih radova na osnovu malog broja poznatih parametara. Istraživanje je sprovedeno na osnovu podataka o realizovanim projektima izgradnje višeporodičnih stambenih i stambeno-poslovnih objekata koji su izgrađeni u periodu od 2012. do 2020. godine na teritoriji Republike Srbije. U radu je predloženo nekoliko modela za procenu količina i cena pojedinih vrsta radova, kao i ukupne cene građevinskih radova. Rezultati analize su pokazali da se veća tačnost može postići predikcijom količina nego cena pojedinih radova. Razvijeni modeli mogu biti korisni u procesu planiranja troškova i količina potrebnog materijala u ranim fazama razvoja projekta.
AB  - This paper deals with the problem of estimating the required quantities of works, as well as the cost of construction of residential and residential-commercial buildings using machine learning algorithms.The main goal is to analyze the possibility of applying machine learning for the development of a model that will in a short time provide a sufficiently precise preliminary estimate of the required quantities and cost of major works based on a small number of known parameters.The research was conducted on the basis of data on realized projects of the construction of multi-family residential and residential-commercialbuildings that were constructed in the period from 2012 to 2020 on the territory of the Republic of Serbia.The paper proposes several models for estimating the quantities and cost of individual types of works, as well as the total price of construction works.The results of the analysis showed that greater accuracy can be achieved by predicting quantities than the cost of individual works.The developed models can be useful in the process of planning the cost and quantities of required material in the early stages of project development.
PB  - Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja"
T2  - Izgradnja
T1  - Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata
IS  - 5-8
VL  - 124-132
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2620
ER  - 

@article{
author = "Simić, Nevena and Devedžić, Aleksandar and Ivanović, Marija and Petronijević, Predrag",
year = "2021",
abstract = "Ovaj rad se bavi problemom procena potrebnih količina radova, kao i koštanja izgradnje stambenih i stambeno-poslovnih objekata korišćenjem algoritama mašinskog učenja. Osnovni cilj je analiza mogućnosti primene mašinskog učenja za razvoj modela koji će za kratko vreme pružiti dovoljno preciznu preliminarnu procenu potrebnih količina i cena glavnih radova na osnovu malog broja poznatih parametara. Istraživanje je sprovedeno na osnovu podataka o realizovanim projektima izgradnje višeporodičnih stambenih i stambeno-poslovnih objekata koji su izgrađeni u periodu od 2012. do 2020. godine na teritoriji Republike Srbije. U radu je predloženo nekoliko modela za procenu količina i cena pojedinih vrsta radova, kao i ukupne cene građevinskih radova. Rezultati analize su pokazali da se veća tačnost može postići predikcijom količina nego cena pojedinih radova. Razvijeni modeli mogu biti korisni u procesu planiranja troškova i količina potrebnog materijala u ranim fazama razvoja projekta., This paper deals with the problem of estimating the required quantities of works, as well as the cost of construction of residential and residential-commercial buildings using machine learning algorithms.The main goal is to analyze the possibility of applying machine learning for the development of a model that will in a short time provide a sufficiently precise preliminary estimate of the required quantities and cost of major works based on a small number of known parameters.The research was conducted on the basis of data on realized projects of the construction of multi-family residential and residential-commercialbuildings that were constructed in the period from 2012 to 2020 on the territory of the Republic of Serbia.The paper proposes several models for estimating the quantities and cost of individual types of works, as well as the total price of construction works.The results of the analysis showed that greater accuracy can be achieved by predicting quantities than the cost of individual works.The developed models can be useful in the process of planning the cost and quantities of required material in the early stages of project development.",
publisher = "Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja"",
journal = "Izgradnja",
title = "Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata",
number = "5-8",
volume = "124-132",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2620"
}

Simić, N., Devedžić, A., Ivanović, M.,& Petronijević, P.. (2021). Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata. in Izgradnja
Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja"., 124-132(5-8).
https://hdl.handle.net/21.15107/rcub_grafar_2620

Simić N, Devedžić A, Ivanović M, Petronijević P. Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata. in Izgradnja. 2021;124-132(5-8).
https://hdl.handle.net/21.15107/rcub_grafar_2620 .

Simić, Nevena, Devedžić, Aleksandar, Ivanović, Marija, Petronijević, Predrag, "Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata" in Izgradnja, 124-132, no. 5-8 (2021),
https://hdl.handle.net/21.15107/rcub_grafar_2620 .