Modeling of construction quality parameters on the example of painting work

Abstract

The article considers the scientific and practical problem of modeling construction quality parameters on the example of painting work as one of the key components of the finishing cycle during the overhaul of buildings and structures. The quality of painting work largely determines not only the aesthetic characteristics of surfaces, but also the durability, operational stability and protective properties of structures, which necessitates the formalization of factors that affect the final result. The paper substantiates the relevance of using regression and analytical modeling to assess technological labor intensity and determine the relationships between material consumption, labor costs and technological quality parameters. The applied approaches made it possible to identify characteristic patterns of labor intensity changes depending on the amount of materials used in different production conditions – during internal, external and facade painting work.Based on statistical processing and modeling, regression relationships were constructed that reflect the degree of influence of key technological parameters on the probability of quality deviations. It was proven that the labor intensity of the process is nonlinear and forms three distinct risk zones: the area of insufficient labor costs, which is accompanied by an increased probability of defects; the optimal interval of labor intensity, in which maximum stability of technological operations is ensured; and the area of excessive labor costs, which indicates a deterioration in the organization of work and a potential decrease in quality. For each group of painting works, the level of influence of material intensity on the formation of labor loads was determined and it was shown that internal works are characterized by the most predictable parameters, while facade works are most sensitive to the influence of external factors.The results of the study are of important practical importance, since they form methodological prerequisites for creating effective models for predicting the quality of finishing processes and for improving the system of labor cost rationing. The proposed approach helps to increase the accuracy of resource planning, identify critical deviations, optimize organizational and technological solutions and ensure a sustainable level of quality during painting work in construction. The presented results can be used in the practice of designing, performing and monitoring construction work, as well as serve as the basis for the further development of integrated digital quality management models in the construction industry.