Kuban State Technological University
Author list of organization
List of articles written by the authors of the organization
-
SCENARIO APPROACH TO PROJECT MANAGEMENT
DescriptionThe study was carried out with the financial support of the Russian Foundation for Basic Research, within the framework of the RFBR research project 17-02- 00475a "Application of metaheuristic algorithms to solving direct and inverse problems of optimizing control of spatially distributed complexes". The article considers the task of scenario approach to project management in case of abnormal progress of its implementation. Various contingencies have been analyzed in the course of project implementation. A model of the scenario approach for project management using the training principle with reinforcement is proposed
-
Description
The article presents results of the research on the chemical composition of cognac wine materials, distillates and aged alcohols from the varieties of the Magarach Pervenets and Rice of different sugar content grown in the Taman agroecological zone. The influence of the initial sugar content on the chemical composition, physicochemical parameters and organoleptic evaluation, as well as the correlation of soil-climatic conditions and varietal features on the composition of cognac distillates, is shown. Soil analyzes were carried out at the FGBIC Anapskaya ZOSViV SKZNIISiV with the use of the latest equipment by conventional methods of determining indicators of soil characteristics. The purpose of the research is to give a detailed description of the site under study, as well as to identify the boundaries of the ecological macrozone for cultivating cognac varieties of grapes. In the course of the research it was clarified that for the selection and evaluation of raw zones of cognac production, it is necessary to take into account the optimal soil and climatic parameters for obtaining high-quality cognac raw materials
-
USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION
05.13.10 Management in social and economic systems
DescriptionThe study was carried out with the financial support of the RHNF as part of the research project of the RFBR 17-02-00475-OGN "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article considers the issue of automated selection of specialists for the project. It is proposed to use artificial neural networks as a decisive core of the system. We have considered several solutions to the problem with a basic version based on a cascade of two neural networks
-
METHODOLOGY OF OPTIMAL PLACEMENT OF TRADE NETWORK OBJECTS
05.13.18 Mathematical modeling, numerical methods and software complexes
DescriptionThe article outlines the idea of a methodology for locating distribution centers of a spatially distributed distribution network without restrictions on the territory. In the past fifteen years in Russia, the profitability of offices and retail space has been significantly higher than logistic complexes. At present, it is possible to talk about a change in the investment attractiveness of the segment of distribution centers and storage facilities. The method consists in solving three problems: determining the number of distribution centers that need to be placed using the method of comparing options; determination of the best locations for placement of distribution centers using the ant colony algorithm; identification of the best location from the previously determined ant colony algorithm using the penalty function method. This method of optimal placement of objects of a spatially distributed complex can be applied not only to the distribution network, but also to any transport company with distribution centers, for example, a logistics company, delivery services, etc.
-
FRAME EXPERT SYSTEMS USING NEURAL NETWORKS
05.13.18 Mathematical modeling, numerical methods and software complexes
DescriptionThe study was carried out with the financial support of the RHNF as part of the research project of the RHF RFBR 17-02-00475а "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article discusses the use of artificial neural networks in frame expert systems, which in some cases make it possible to bypass a number of limitations of the standard version of frame expert systems. Several options for using neural networks in frame expert systems were considered and a number of tasks to be solved for each