Civil engineering industry represents important industry segment, which deals with building, performing and managing construction and business. In this sector, more and more pressure is generated for raising the effectiveness and productivity. Main tool, which supports the effectiveness and productivity, is process automation. Building information modeling represents intelligent process based on a model, which offers civil engineering specialists an overview and tools for effective planning, building blueprint, building management and infrastructure. Primary building information modeling goal is to create the uniform environment, which allows managing the life-cycle of building. Result of this work in enlisted environment is a multi-dimensional model, which carries all the information. This article deals with building information modeling issues, specifically with its dimensions and brings short description of each dimension and actual level of using the 5th dimension (cost estimating) in Visegrad Four countries. Level of 5D usage is demonstrated through surveys which were realized in Visegrad Four countries, and offers an overview of current implementation status in these countries.
Construction project management is difficult process and important part of efficiency and productivity in construction industry. Currently, construction industry is increasing demands on technology, environmental and social construction parameters in the context of maintaining the balance of economic efficiency and sustainability of the construction and realization of buildings. Progressive technology as knowledge systems and building information modeling are the supporting tool for achieving this. Building information modeling is a progressive intelligent 3D model-based process that gives architecture, engineering, and construction professionals the insight and tools to more efficiently in planning, designing and buildings and infrastructure managing. Knowledge and building information modeling technology include a lot of functions and opportunities for better and easier way to achieve project goal and affect to construction project management process. Research discusses the issue of construction project management trough building information modeling and knowledge technology. The main aim of the paper is to analyze impact of these technologies on efficiency in construction project management.
Management of construction enterprises requires experience or managerial competencies. To achieve successful results of construction enterprises and projects, for example as cost reducing, increasing revenues, shortening construction time, both are necessary. Building information modeling represents technology for developing of managerial skills for managers. Main aim of research is to analyze and quantify the management decisions based on managerial competencies developed through building information modeling on results of construction enterprises in Slovakia. Cost reducing, increasing of revenues and shortening construction time are main monitored by enterprise and project results. Research hypotheses are based on the assumption that building information modeling has a positive impact on development of managerial competencies and skills and manager’s t decisions.
Building information modeling is a process for creating and managing information on a construction project across the project lifecycle. The lifecycle of building includes also a stage of reconstruction and technology of terrestrial laser scanning is an effective method to create 3D building information models of the real state. Laser Scanning is a non-contact technology that captures the shape of physical objects and gives exact representation of the building geometry. Current scanning technology has the ability to send out thousands of beams per second, resulting in a ‘point cloud’ of data. This study offers an overview of the survey planning stages, field operation, processing of point cloud data and the possibility to integrate data into the building information modeling.
This paper deals with life cycle analysis of three wooden houses in terms of environmental impact indicators, construction, and operational costs. At the same time, indoor environmental quality of the houses is investigated. From the results achieved, it can be concluded that wooden house 3 shows the lowest emissions of CO2e/m2.year compared to other houses. Based on overall investigation wooden house 1 is the most advantageous. Concrete structures and mineral wool have the highest share of global warming potential. On the contrary wooden house 3 has the largest life cycle costs. Results of indoor environmental quality show that the permissible limits of the measured physical and chemical factors are not exceeded during the measurement.