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Pregled, analiza i ocena stanja informacionih tehnologija u građevinskim preduzećima / Review, analysis and evaluation of information technology state in construction companies
(Savez građevinskih inženjera i tehničara Srbije, 1999)
U radu se prikazuje analiza i ocena stanja informacionih tehnologija u našim građevinskim preduzećima. Ocena stanja izvršena je u skladu sa Nolanovom metodom, a nakon sprovedenog istraživanja u pet velikih građevinskih ...
The Successful Delivery of Megaprojects: A Novel Research Method
(SAGE Publications Inc., 2017)
Megaprojects are often associated with poor delivery performance and poor benefits realization. This article provides a method of identifying, in a quantitative and rigorous manner, the characteristics related to project ...
Fire-resistance prognostic model for reinforced concrete columns
(Croatian Association of Civil Engineers, 2012)
The prediction model used for defining fire resistance of reinforced concrete columns exposed to standard fire from all four sides is presented in the paper. The proposed model relies on the concept of artificial neural ...
Metodology for construction equipment expense calculations used by the USACE / Metodologija proračuna troškova rada građevinskih mašina prema USACE
(Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja", Beograd, 2011)
Estimating expenses for Construction Equipment (CE) has a key impact on the success of civil engineering projects. The nature of these expenses is such that there is a need for a lot of assumptions during the estimating ...
Multi criteria analysis of choosing between process based strategic planning methods / Višekriterijumska analiza izbora procesno orijentisane metode upravljanja
(Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja", Beograd, 2003)
In this paper all phases in quality management evolution are presented. Also, the best-known process based strategic planning methods are presented: total quality management, business process reengineering lean construction ...
Information system model of construction company / Model informacionog sistema građevinskog preduzeća
(Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja", Beograd, 2000)
Information system model of construction company is considered in this paper. At the beginning, the importance of information system is emphasized. The special attention is paid to information system in construction company. ...
Application of fuzzy ahp method based on eigenvalues for decision making in construction industry
(Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2016)
The Analytic Hierarchy Process (AHP) has found wide application for multicriteria decision making (MCDM) in various areas. In the paper is given a short survey of the AHP application for decision making in the construction ...
Allocation and Selection of equipment for concrete works using Fuzzy Linear Programming
(Belgrade, Serbia: Society for Materials and Structures Testing of SerbiaBelgrade, Serbia: University of Belgrade Faculty of Civil EngineeringBelgrade, Serbia : Association of Structural Engineers of Serbia, 2021)
The aim of this research is focused on the problem of allocation and selection of the construction equipment when construction firms bid for construction projects. The main objective of the selection of construction equipment ...
Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges
(Hindawi, 2020)
Estimation of basic material consumption in civil engineering is very important in the initial phases of project implementation. Its
importance is reflected in the impact of material quantities on forming the prices of ...
Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...