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Метод эллиптических центроидов в управлении эффективностью технологических процессов

Authors: Kazarinov, L. S.; Barbasova, T. A.;

Метод эллиптических центроидов в управлении эффективностью технологических процессов

Abstract

Предложен метод эллиптических центроидов для решения задач выбора эффективных значений управляемых параметров, анализа рисков принятия неэффективных решений и рисков пропусков эффективных решений при управлении технологическими процессами. Предложенный метод рассматривается как основа построения экспертной системы поддержки принятия решений по управлению эффективностью технологических процессов. This article presents an elliptic centroid method to solution to the task of selection the effective control parameters, risks of making inefficient decision and risks of skipping the efficient solutions. The proposed method is considered as a basis of construction a decision support expert system on energy management of technological processes. Казаринов Лев Сергеевич, д-р техн. наук, профессор, декан приборостроительного факультета (КТУР), Южно-Уральский государственный университет (г. Челябинск); kazarinov@ait.susu.ac.ru. Барбасова Татьяна Александровна, канд. техн. наук, доцент кафедры автоматики и управления, Южно-Уральский государственный университет (г. Челябинск); barbasovata@susu.ac.ru. L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation,kazarinov@ait.susu.ac.ru, T.A. Barbasova, South Ural State University, Chelyabinsk, Russian Federation, barbasovata@susu.ac.ru

Keywords

энергетическая эффективность, экспертная система, integrated resource planning, ГРНТИ 50.47, УДК 658.512, интегрированное планирование ресурсов, energy efficiency, expert system

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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
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