name

Tretyakova Natalya Vasilyevna

Scholastic degree

•

Academic rank

—

Honorary rank

—

Organization, job position

• Kuban State Agrarian University
 
  доцент кафедры высшей математики

Research interests

исследование в рамках раздела кафедры «Разработка предложений по основным направлениям повышения эффективности регионального АПК», исследование проблем современного развития высшего образования

Web site url

—

Email

n-tretkimpim@mail.ru

Current rating (overall rating of articles)

0

TOP5 co-authors

• Shichiyakh R. A. ¹
• Tuguz N. S. ¹

Articles count: 1

Сформировать список работ, опубликованных в Научном журнале КубГАУ

• pdf  259.474kb doc 259.474kb Views: 701 Date: 30.11.2017
  Tretyakova N. V. Shichiyakh R. A. Tuguz N. S.

  TO THE QUESTION OF MATHEMATICAL MODELS OF MATERIAL FLOW MANAGEMENT

  01.00.00 Physical-mathematical sciences

  Description

  The article concentrates on the matters of current interest in the sphere of product flows. The object of research is the relocation of product flows from the supply sphere, represented by supply and sales organizations or other commercial-intermediary agencies, to the sphere of business enterprise. The ultimate goal of the production and economic system modeling is the preparation for managerial decision-making. The choice of the model depends on the purposes of the modeling, management functions, automation manufacturing step, applied mathematical tools technique. The article considers the main characteristics of the flow, which while retaining their individuality at the same time depend on each other and function logically in the economic space. The advantages and disadvantages of the material inventory and flows management in micrologistic intraproductive systems are being analyzed. External and internal environment, taken as a basis for the real logistical process modeling, determine the type of the principal stock regulation system and the type of the corresponding mathematical model. Methods and models of the stock theory, the primary objective of which is to determine the most important incoming product flow parameters of the system, are still in demand and their primary goal is to adapt the manufacturing company to the consumers’ needs