Research Article
Sustainable Productivity Improvement in CPM Through Building Information Modeling in the Context of Circular Construction
@INPROCEEDINGS{10.1007/978-3-031-72393-3_8, author={Tom\^{a}š Mandič\^{a}k and Annam\^{a}ria Beh\^{u}nov\^{a} and Peter M\^{e}saroš and Marcel Beh\^{u}n}, title={Sustainable Productivity Improvement in CPM Through Building Information Modeling in the Context of Circular Construction}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 8th EAI International Conference, FABULOUS 2024, Zagreb, Croatia, May 9--10, 2024, Proceedings}, proceedings_a={FABULOUS}, year={2024}, month={10}, keywords={Building Information Modelling Productivity Sustainability Construction Project management Circular Construction}, doi={10.1007/978-3-031-72393-3_8} }- Tomáš Mandičák
Annamária Behúnová
Peter Mésaroš
Marcel Behún
Year: 2024
Sustainable Productivity Improvement in CPM Through Building Information Modeling in the Context of Circular Construction
FABULOUS
Springer
DOI: 10.1007/978-3-031-72393-3_8
Abstract
Increasing productivity is one of the primary goals in the context of economic sustainability. This will bring several challenges, which, however, can be managed through the digital technologies that the 21st century brings. The growth rate of digitization is seen in every industry. As an essential sector of the economy, the construction industry has the same plans. Objectives in circular economy and sustainability in the construction industry are also prioritized for the management of the industries. Innovative modelling of buildings, like the implementation of new digital technologies, also brings many challenges, but on the other hand, also opportunities. This process in construction project management can also be key to improving sustainable productivity. This research aims to map the current state of the use of information modelling of buildings and their impact on yield. The research was carried out on 199 construction projects in three countries (Slovakia, Croatia, and Slovenia). Data collection was ensured by questionnaire inquiry. Subsequently, the data were processed, and essential tools of statistical processing were used. In addition to descriptive statistics, data redistribution tests and subsequent retesting of statistical significance, namely ANOVA and the Kruskal-Wallis’s test, were used. Correlation analysis was used to examine the dependencies between variables. The survey results highlight the impact of building information modelling in construction project management for sustainable productivity improvements. Research has shown that information modeling of constructions brings an increase in productivity, including through a circular economy approach, when machines and equipment, technologies, and materials are used more efficiently, which leads to the optimization of costs.
