METHODOLOGICAL FOUNDATIONS OF QUALITY ASSURANCE FOR SERVICE ACTIVITIES IN CONSTRUCTION BASED ON A UNIFIED DIGITAL APPROACH

Abstract

The article provides a comprehensive study of the transformation of quality assurance processes for services within service enterprises in the construction industry amidst the global transition to the “Construction 4.0” concept. The relevance of the study is driven by the necessity to bridge the technological gap between the construction and operation stages through the implementation of end-to-end cyber-physical systems. The aim of the research is to provide a theoretical substantiation and develop a unified approach to service process quality management based on the integration of Building Information Modeling (BIM), the Industrial Internet of Things (IIoT), and Digital Twins. The research methodology is based on a systems  analysis and decomposition of service operations in critical domains such as the maintenance of microclimate engineering networks, elevator systems, high-precision industrial floor installation, and landscape ecosystem management.

The primary scientific outcome of the research is the development and substantiation of the Adaptive Continuous Quality Assurance (ACQA) model. The scientific novelty of the proposed model lies in the unification of control algorithms for technologically heterogeneous service operations through three fundamental phases: the objectification of parameter verification using Reality Capture technologies, intelligent prediction based on dynamic digital twins, and ecosystem synchronization of processes within a Common Data Environment (CDE). The author justifies that this approach allows for the transformation of the definition of quality from a category of static project compliance into a category of dynamic functional reliability throughout the entire life cycle of the facility. Within the framework of this research, the implementation of an integrated Service Quality Index (SQI) is proposed as an objective numerical indicator of a service company’s efficiency. The practical significance of the findings lies in establishing a foundation for service organizations to transition to a new ‘guaranteed performance’ business model, which facilitates significant optimization of operating costs through predictive defect elimination and enhances the consumer value of real estate assets.