Methodological approach to calculating the integral indicator of organizational and technological reliability of repair and restoration processes of apartment buildings
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The housing stock is subject to moral and physical deterioration, which requires timely repair and restoration work. The efficiency of such work directly affects the durability of structural elements, the performance characteristics of buildings and the cost of their maintenance. In the context of limited resources and increasing demands on the quality of repairs, there is a need to develop methods to objectively assess the reliability of repair processes. One of the key approaches to such an assessment is the use of an integral organizational and technological indicator of reliability, which takes into account a set of factors affecting the efficiency of the repair work performed. This indicator allows you to quantitatively assess the impact of organizational, technological and economic factors on the reliability of the process, identify problem areas in the repair management system and predict the time between repairs. This article presents a methodology for calculating the integral indicator of the organizational and technological indicator of the reliability of repair processes, based on a comprehensive consideration of many factors and their significance. The development of this methodology will improve the objectivity of assessing the reliability of repair processes, optimize the distribution of resources, and increase the service life of buildings through rational planning of repair activities. The proposed approach can be used both in the design of repair work and in their analysis and improvement during the operation of buildings.
The developed neural network model uses a multi-layer approach with an activation function in hidden layers and a sigmoid in the output layer. Input data are normalized and processed using the backpropagation method, which allows for more accurate forecasting of inter-repair periods and assessment of the operational reliability of a building.
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