The article presented the scientific research of buildings construction optimization problems on the basis of interdisciplinary approach that provides synergy of modern approaches of construction organization and technology, economic theory and political economy, as well as applied mathematics. The formation and realization of the economic-mathematical model of optimal sequence groups of construction objects are considered on the basis of a method of sequential analysis of variants, based on dynamic programming. According to the provided research results the proposals were made for acceleration of these processes in construction through the development of program complex “Optimization of object construction process by the criterion of time” on the basis of mathematical modeling methods, which provided the opportunity to further optimize and obtain consistency and reduce the construction terms of this buildings groups for almost a year (360 days or 61%).
The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.