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Article . 2011
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Математическое моделирование производственно-коммерческой деятельности промышленных предприятий

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Тульский государственный университет»Journal:Известия Тульского государственного университета. Экономические и юридические науки (issn: 2071-6184, Copyright policy )
Authors: Белозерский, A.; Меньшиков, B.;

Математическое моделирование производственно-коммерческой деятельности промышленных предприятий

Abstract

Approaches to the assessment of industrial and commercial activities of engineering plants are considered. The mathematical models of production and distribution processes, as well as the necessary restrictions, are given

Рассмотрены подходы к оценке производственно-коммерческой деятельности предприятий машиностроительного комплекса. Приведены математические модели производственных и сбытовых процессов, а также необходимые ограничения

Keywords

ПРОИЗВОДСТВЕННО-КОММЕРЧЕСКАЯ ДЕЯТЕЛЬНОСТЬ, МОДЕЛИРОВАНИЕ ЦЕН, ФАКТОРНО-СТОИМОСТНОЙ АНАЛИЗ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average