Subject of study: The subject of the study is process of formation of organizational structures of investment and construction projects (ICP) from elements with a high level of its own reliability. Objectives: The aim of the study is to create the methodological foundations for designing and building the organizational structures of the ICP from the elements (ICP participants) with a sufficient level of reliability. Materials and methods: Based on the study of the existing practice of analyzing and forecasting the performance of companies and corporations in various sectors of the economy in Russia and the World, when solving the tasks of selecting ICP casual participants from a possible list of candidates, it seems promising to use such a mathematical tool of the system approach to solving complex decision-making problems as the Hierarchy Analysis Method (HAM). Results: The lack of objectivity existing in the adaptation of the applied methodologies and methods of assessing the indicators of consistency (sustainability, reliability, competitiveness, liquidity of assets) of organizations to the analysis of the activity of enterprises in the construction sector, as well as the disproportional weighting of computational models by indices of unusual construction organizations of nature can be partially compensated by transforming the process of determining the reliability of enterprises that are elements of the organizational structure of the ICP, the multi-criteria choice problem, solved by the hierarchy analysis method. Conclusions: Integration into the process of designing the organizational structures of the ICP of the existing experience in solving probabilistic decision making problems by the method of hierarchy analysis can be used as the basis for increasing the level of ICP reliability by forming the organizational structures of the ICP from highly reliable elements.
CITATION STYLE
Voronkov, I. (2018). Evaluation and improvement of the reliability of organizational structures of ICP by the method of hierarchy analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 365). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/365/6/062035
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