А.В. Пилюгина, А.В. Мищенко
120
ISSN 0236-3941. Вестник МГТУ им. Н.Э. Баумана. Сер. Машиностроение. 2017. № 3
Мищенко Александр Владимирович
— д-р экон. наук, профессор кафедры «Логисти-
ка» Национального исследовательского университета «Высшая школа экономики» (Рос-
сийская Федерация, 101000, Москва, Мясницкая ул., д. 20).
Просьба ссылаться на эту статью следующим образом:
Пилюгина А.В., Мищенко А.В. Модели оценки производственной мощности предприя-
тия // Вестник МГТУ им. Н.Э. Баумана. Сер. Машиностроение. 2017. № 3. C. 102–121.
DOI: 10.18698/0236-3941-2017-3-102-121
MODELS FOR ASSESSING THE PRODUCTION CAPACITY
OF AN ENTERPRISE
A.V. Pilyugina
1
pilyuginaanna@bmstu.ruA.V. Misсhenko
2
87977790@mail.ru1
Bauman Moscow State Technical University, Moscow, Russian Federation
2
National Research University Higher School of Economics, Moscow, Russian Federation
Abstract
Keywords
We carried out the research of scientific and industrial
enterprises working in the field of microelectronic tech-
nologies and detected the main parameters influencing
the value of production capacity. We developed a system
of models for different situations, as well as models for
assessing the production capacity for projects of creation
a new enterprise, finding the necessary investments to
fulfill an order, and searching for the optimal purchase
porttfolio. First, we examined various models of the
production capacity of the enterprise, then, we clarified
the concept of production capacity, and conducted a
comparative analysis of approaches to modeling. Finally,
we tested the models according to the example of the
microtechnology department of the Research Institute for
System Studies of the Russian Academy of Sciences
Рroduction capacity, models for
assessing the production capacity,
wholesale purchases portfolio,
investments
REFERENCES
[1] Elliott-Shircore T.I., Steele P.T. Procurement positioning overview.
Purchasing and Supply
Management
, 2005, no. 12, pp. 23–26.
[2] Ershi Q., Jiang S., Runliang D., eds. International Asia conference on industrial engineering and
management innovation (IEMI2012). Proceedings. Berlin Heidelberg, Spinger-Verlag, 2013.
[3] Zhen H. The analysis the evaluation of the comprehensive production capacity of farmers
based on the numerical simulation technology.
2014 Fifth Int. conf. on Intelligent Systems
Design and Engineering Applications
, pp. 996–998.
[4] Prabhu V. A dynamic algorithm for distributed feedback control for manufacturing pro-
duction, capacity, and maintenance.
IEEE Transaction on Automation Science and Engi-
neering
, 2015, vol. 12, no. 2, pp. 628–641. DOI: 10.1109/TASE.2014.2339281
Available at:
http://ieeexplore.ieee.org/document/6877749