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Имитационное моделирование вероятностных производственных систем

Имитационное моделирование вероятностных производственных систем

Abstract

The method of formalization of probabilistic technological processes of production on the basis of construction of simulation model of the probabilistic network graph; the technology of the use of the automation design system of aggregate type for simulation models construction; the method of the use of the imitation complex for the decision of tasks for research of probabilistic technological processes of production are offered

Предлагается способ формализации вероятностных технологических процессов производства на основе построения имитационной модели вероятностного сетевого графика; технология использования системы автоматизации моделирования агрегатного типа для построения имитационных моделей; методика использования комплекса имитации для решения задач исследования вероятностных технологических процессов производства

Keywords

ВЕРОЯТНОСТНЫЕ ТЕХНОЛОГИЧЕСКИЕ ПРОЦЕССЫ ПРОИЗВОДСТВА,СИСТЕМА АВТОМАТИЗАЦИИ МОДЕЛИРОВАНИЯ АГРЕГАТНОГО ТИПА,ВЕРОЯТНОСТНЫЙ СЕТЕВОЙ ГРАФИК

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
bronze