Name
Vidovskiy Leonid Adolfovich
Scholastic degree
—
Academic rank
—
Honorary rank
—
Organization, job position
Kuban State Technological University
Web site url
—
kimola@mail.rukimola@termneft.ru
Articles count: 19
The article investigates the issues of recognition of
public rooms with defects, behavioral analysis of
situations and designing intelligent access system
objects geographically - distributed systems
The article deals with the issues of determining the
complexity of the project objectives, performance
evaluation of the project, as well as the question of the
distribution of specialists on problems
The article is devoted to the analysis of the use of
large data processing technology in information
systems of territorially distributed complexes
The 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
The 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.