Tomáš Hanák

Podrška odlučivanju u upravljanju prometnim projektima u urbanim sredinama

Faza planiranja unutar upravljanja urbanim prometnim projektom složen je proces kako sa stajalista menadžmenta tako i s tehnicko-ekonomskih stajalista. Ovo istraživanje usmjereno je na procese donosenja odluka vezanih za fazu planiranja prilikom upravljanja urbanim cestovnim infrastrukturnim projektima. Predloženi koncept se temelji na visekriterijskim metodama te na umjetnim neuronskim mrežama. U ovom radu predstavljeni koncept za podrsku odlucivanju testiran je na cestovnoj infrastrukturi grada Splita i prikazuje nacin na koji se može unaprijediti planiranje urbane cestovne infrastrukture.

Electronic Reverse Auctions in Public Construction Procurement – Empirical Evidence from the Czech Republic

Abstract Electronic reverse auctions (e-RAs) are considered to be an effective tool for negotiating tender prices and achieving cost savings. Furthermore, if multicritera evaluation is used, it can be expected that e-RAs will also contribute to achieving benefits in other areas, e.g. helping to minimize life-cycle costs. This study aims to analyse the mutual relationships between selected e-RA variables. More specifically, correlation analysis is applied to explore real e-RA data representing public tenders for construction work. This study’s findings reveal that the correlations examined are generally weak or very weak. Furthermore, it has been found that the value of correlation coefficients varies depending on the type of structure, and that public tenders are usually evaluated solely on the basis of the criterion of the lowest bid price. Recommendations for public authorities in using e-RAs in the role of the buyer are also provided at the end of this paper.

Theoretical model for refining flood economic loss modelling on buildings

This paper focuses on the evaluation of flood losses to buildings. More specifically, it analyses the impact of the side ratio of the flooded room and its overall surface area on the accuracy of loss evaluation. It presents the basics of a theoretical mathematical model, which has been calibrated and verified using genetic programming tools and which makes it possible to achieve a relatively high accuracy in loss evaluation. The error variance found during the modelling of losses was . The suggested basic version of the model can be further developed in the future to allow for more comprehensive use.

Material life cycle costing of buildings: A case study

Life cycle costs (LCC) of buildings are an important factor during the investment decision-making. They help identify future costs that will accrue over the lifecycle of the building. Besides the investment phase, the most significant costs are those related to operation, such as utilities, cleaning and repairs, replacements, and maintenance of the individual parts of the building. At the same time, these costs are the easiest to control during the pre-investment phase, and are therefore the focus of this paper. The main object of the paper is to show the calculation method and the use of current data necessary to calculate material LCC and their transfer so that they could be used for facility management using the specific example of smooth surface roofing.Life cycle costs (LCC) of buildings are an important factor during the investment decision-making. They help identify future costs that will accrue over the lifecycle of the building. Besides the investment phase, the most significant costs are those related to operation, such as utilities, cleaning and repairs, replacements, and maintenance of the individual parts of the building. At the same time, these costs are the easiest to control during the pre-investment phase, and are therefore the focus of this paper. The main object of the paper is to show the calculation method and the use of current data necessary to calculate material LCC and their transfer so that they could be used for facility management using the specific example of smooth surface roofing.

Artificial Neural Networks and Fuzzy Neural Networks for Solving Civil Engineering Problems

University of Podgorica, Faculty of Civil Engineering, Podgorica, Montenegro Ss. Cyril and Methodius University, Faculty of Civil Engineering, Skopje, Macedonia Brno University of Technology, Faculty of Civil Engineering, Institute of Structural Economics and Management, Brno, Czech Republic Director of the Building Physics & Construction Technology Laboratory, Civil Engineering Department University of Minho, Guimaraes, Portugal Slovak University of Technology in Bratislava, Department of Hydraulic Engineering, Bratislava, Slovakia

Urban Road Infrastructure Maintenance Planning with Application of Neural Networks

The maintenance planning within the urban road infrastructure management is a complex problem from both the management and technoeconomic aspects. The focus of this research is on decision-making processes related to the planning phase during management of urban road infrastructure projects. The goal of this research is to design and develop an ANN model in order to achieve a successful prediction of road deterioration as a tool for maintenance planning activities. Such a model is part of the proposed decision support concept for urban road infrastructure management and a decision support tool in planning activities. The input data were obtained from Circly 6.0 Pavement Design Software and used to determine the stress values (560 testing combinations). It was found that it is possible and desirable to apply such a model in the decision support concept in order to improve urban road infrastructure maintenance planning processes.

PERSONNEL COSTS IN THE CZECH CONSTRUCTION SECTOR: INVESTIGATING THE EFFECT OF COMPANY SIZE

Managing personnel costs is important in all companies, especially in those whose production is labor intensive. The construction sector therefore qualifies as a suitable area for analyzing issues associated with these costs. The aim of this study is to find out whether company size affects personnel cost management under various circumstances. Four research hypotheses focus on the relationships among and the relative importance of personnel costs, use of standards, range of employee benefits offered, and economic actions taken when faced with an economic crisis. The evaluation of hypotheses is supported by using the chi-square test of independence with the aim of confirming or rejecting the statistical significance of relationships between the examined categorical variables. Results have confirmed a significant effect of company size. Several research implications and suggested future research directions are also presented in the conclusion of this paper.

Data Flow in Relation to Life-Cycle Costing of Construction Projects in the Czech Republic

Life-cycle costing is an important part of every construction project, as it makes it possible to take into consideration future costs relating to the operation and demolition phase of a built structure. In this way, investors can optimize the project design to minimize the total project costs. Even though there have already been some attempts to implement BIM software in the Czech Republic, the current state of affairs does not support automated data flow between the bill of costs and applications that support building facility management. The main aim of this study is to critically evaluate the current situation and outline a future framework that should allow for the use of the data contained in the bill of costs to manage building operating costs.

Selection of adequate site location during early stages of construction project management: A multi-criteria decision analysis approach

In the management of construction projects special attention should be given to the planning as the most important phase of decision-making process. Quality decision- making based on adequate and comprehensive collaboration of all involved stakeholders is crucial in project’s early stages. Fundamental reasons for existence of this problem arise from: specific conditions of construction industry (final products are inseparable from the location i.e. location has a strong influence of building design and its structural characteristics as well as technology which will be used during construction), investors’ desires and attitudes, and influence of socio- economic and environment aspects. Considering all mentioned reasons one can conclude that selection of adequate construction site location for future investment is complex, low structured and multi-criteria problem. To take into account all the dimensions, the proposed model for selection of adequate site location is devised. The model is based on AHP (for designing the decision-making hierarchy) and PROMETHEE (for pairwise comparison of investment locations) methods. As a result of mixing basis feature of both methods, operational synergies can be achieved in multi- criteria decision analysis. Such gives the decision-maker a sense of assurance, knowing that if the procedure proposed by the presented model has been followed, it will lead to a rational decision, carefully and systematically thought out.

Modelling Flood Losses to Buildings: Relationship between Room Dimensions and Depth of Flooding

This paper discusses the evaluation of flood losses to buildings using loss curves. The objective of the research was to ascertain whether there is a relationship between the depth of flooding and the amount of unit loss set with regard to the impact of room dimensions. The research was conducted on a sample of 154 model situations for two different room shapes. The results confirm that the depth of flooding, considered in the context of the impact of room dimensions, has an influence over the accuracy of setting the amount of loss, and that the significance of this influence increases with increasing depth. These results can help achieve a more accurate evaluation of flood losses using loss curves or indicators when settling, for example, insurance claims filed in consequence of large-scale flooding.