Quantitative assessment of the impact of complicating factors on the labor intensity of technical supervision

Abstract

The article considers an urgent problem in modern construction practice, where the implementation of investment projects increasingly occurs in non-standard conditions under the influence of a significant number of complicating factors. It is noted that these factors directly affect not only the technology of executing works but also the process of carrying out control and supervisory procedures by the Customer. It is proven that although the existing regulatory framework governs the impact of such conditions on the estimated cost, it ignores the increase in the labor intensity of engineering personnel. Consequently, the lack of an objective quantitative assessment makes the rational standardization of the technical supervision service's labor impossible. Given this, the aim of the study is to substantiate the methodology for the quantitative assessment of the impact of complicating factors on the labor intensity of engineering personnel to form a mathematical apparatus for standardizing labor costs. During the study, 7 of the most significant factors that prevalently affect technical supervision were distinguished from the general array: the frequency of project changes, the level of implementation of innovative technologies, labor intensity, the overall risk level, the structural complexity of the project, the required level of expertise, and the duration of construction. Based on these parameters, a mathematical model for calculating the integral technical supervision complexity index is proposed, relying on weight coefficients and a scoring assessment of the factors. The practical effectiveness of the approach is confirmed by calculating the index for a project involving the installation of a flat membrane roof with integrated solar panels. It is summarized that the calculated integral index is a determining factor in managing production processes, allowing for the efficient allocation of engineering service resources. It is proven that the increasing complexity of projects requires a transition to structural information management and interaction with the digital environment to verify supervisory procedures.