Ensuring quality control processes at all stages of the life cycle of capital construction projects under the Construction 4.0 concept

In this work,  we  identify  the  key  challenges  hampering  the  implementation  of  the Construction 4.0 concept when performing the quality control of construction projects. The research methodology involved a comprehensive study of the Construction 4.0 concept, which is applied in domestic and foreign practice for supporting quality control processes in construction. An integrated approach to the analysis and accounting of all factors affecting construction quality management was applied. Construction industries in different countries are undergoing massive transformations, shifting from traditional design and construction methods towards innovative ways of managing construction projects based on the use of digital technologies. The need for the introduction of these technologies is recognized by many subjects of the Russian construction industry, recognized at the state level and supported by a large number of national projects and development strategies. Such problematic aspects, as the distortion of the information necessary for the implementation of a construction project, the increase in the time and cost of this process, the lack of proper quality control of industrial and civil facilities, have necessitated a transition towards digital technologies for the design of buildings and structures. The trend of digitalizing the construction industry, including the provision of quality control processes, predetermines the need to develop a scientific and methodological basis for the theory of managing the introduction of advanced technologies. The paper describes the implementation of the Construction 4.0 concept in the context of organizing quality control processes in construction. An analysis of practical examples of digital ecosystems allowed the authors to develop methodological foundations for the implementation of an integrated quality management system based on information modelling technologies, which could facilitate the digital transformation of the industry.

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