Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Cherkasov Oleg Nikolaevich

Scholastic degree


Academic rank

—

Honorary rank

—

Organization, job position

JSC "Lot"
   

Web site url

—

Email

oncherkasov@gmail.com


Articles count: 4

127 kb

MATHEMATICAL MODELS OF SELECTION OF VEHICLES AND THEIR DISTRIBUTION ON TECHNOLOGICAL OPERATIONS

abstract 0771203023 issue 77 pp. 237 – 247 30.03.2012 ru 1510
The article describes the models of selection and distribution of vehicles in the life cycle transport company based on the principle of hierarchical modeling for various manufacturing operations
126 kb

MODEL OF LAND TRANSPORT NETWORK IN A VIEW OF UNCERTAINTY OF TIME TRAFFIC

abstract 0771203027 issue 77 pp. 280 – 289 30.03.2012 ru 1358
The article describes a model section of the transport network, taking into account the probabilistic characteristics of the time the vehicle, namely a possible delay in transportation, a loading or unloading. The optimality criterion for route with the largest revenue from transportation is shown
153 kb

MODEL OF THE ANALYSIS OF A PRODUCTION CORPORATION’S INDIGNANT CONDITION

abstract 0821208051 issue 82 pp. 691 – 703 31.10.2012 ru 1451
The article deals with the models of analysis of a target product’s load flow in the indignant condition of a production corporation against loss of information definiteness of boundary conditions. The classification of the boundary conditions for the stationary conditions of the studied fragment of system is given
114 kb

PRINCIPLES AND MODEL OF FORMATION OF THE STRUCTURE OF MATHEMATICS SUPPLY OF A LAND TRANSPORT MANAGEMENT ENTERPRISES

abstract 0761202028 issue 76 pp. 326 – 335 29.02.2012 ru 1463
The article deals with the theoretical basis for building the structure of a mathematics supply of unified software and hardware complex of a land transport management enterprises. It proposes the criteria for realizability of manufacturing operations. We formulate the problem of the choice of vehicles and their optimal allocation of process operations
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