Formation of a structural model for determining the duration of construction in the conditions of an energy crisis

Abstract

The article is aimed at solving the current scientific and applied problem of determining and optimizing the duration of construction in conditions of unstable resource supply and energy crisis. Modern conditions of the construction industry are characterized by a high level of uncertainty, which is due to the combined effect of military, economic, energy and logistical factors. As a result, there is a disruption in the rhythm of construction work, an increase in the share of unfinished construction, an increase in deviations between the planned and actual terms of implementation of investment and construction projects. The traditional organizational and technological methods for determining the duration of construction, which are based on the assumption of the stability of resource supply, do not provide the necessary accuracy of forecasting and efficiency of construction process management, are considered.

The structural model of the author's scientific and applied toolkit for determining the duration of construction in the conditions of the energy crisis is formed, it is a holistic system of interconnected blocks that ensure a consistent transition from the analysis of initial conditions to the formation and optimization of organizational and technological solutions. It is this structure that creates the basis for further formalization of the algorithms of the toolkit and their practical testing.

The study of the materials of the article is determined by the need to transition to adaptive models of construction duration management, which take into account the instability of the resource environment, the irregularity of work performance, periodic restrictions on energy supply and the variability of the availability of labor and material and technical resources. The article substantiates that in the conditions of the energy crisis, the duration of construction should be considered not as a fixed result of the calculation, but as a controllable parameter that is formed in the process of making organizational and technological decisions.