Software implementation of the models of substantiation of rational organizational and technological decisions for the construction of high-rise buildings

Considering the significant cost of high-rise construction, the urgent task is to create tools for the prediction of the cost of building high-rise buildings in dense urban areas, taking into account the urban development value of the territory and compliance with the requirements for energy conservation and biosphere compatibility of high-rise buildings, designed primarily for the needs of customer and investor. Purpose of the article. Development of a methodological approach to the substantiation and selection of rational organizational and technological solutions for the construction of high-rise buildings, taking into account their energy conservation, environmental friendliness and urban development value of the territory with subsequent program implementation. Conclusion. Based on the results of modeling the relationship between factor and effective signs, the most statistically reliable models were established to justify the cost of high-rise construction, which allow us to quantify the influence of determining organizational, technological and economic factors on the cost of the construction of high-rise buildings and can be used to develop a methodology for substantiating and choosing rational organizational and technological solutions for the construction of high-rise buildings. An assessment of the established dependences of the cost of high-rise construction on the determining organizational, technological and economic factors by the Fisher criterion, as well as practical testing in design and construction organizations, confirmed their adequacy to the real process of building high-rise buildings. The proposed methodological approach allows, through organizational and economic calculations using the identified patterns of the influence of organizational, technological and economic factors on the cost of high-rise construction, to quantify the performance indicators of organizational and technological decisions.