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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">blackmet</journal-id><journal-title-group><journal-title xml:lang="ru">Известия высших учебных заведений. Черная Металлургия</journal-title><trans-title-group xml:lang="en"><trans-title>Izvestiya. Ferrous Metallurgy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0368-0797</issn><issn pub-type="epub">2410-2091</issn><publisher><publisher-name>National University of Science and Technology "MISIS"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/0368-0797-2023-1-119-126</article-id><article-id custom-type="elpub" pub-id-type="custom">blackmet-2488</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И АВТОМАТИЗАЦИЯ В ЧЕРНОЙ  МЕТАЛЛУРГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION TECHNOLOGIES AND AUTOMATIC CONTROL IN FERROUS METALLURGY</subject></subj-group></article-categories><title-group><article-title>Опыт использования и повышения юзабилити системы математического моделирования производства на металлургическом предприятии</article-title><trans-title-group xml:lang="en"><trans-title>Mathematical modelling system for metallurgical enterprise: Operation and usability enhancement</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Леонтьев</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Leont’ev</surname><given-names>А. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексей Сергеевич Леонтьев, аспирант кафедры прикладных информационных технологий и программирования</p><p>Россия, 654007, Кемеровская обл. – Кузбасс, Новокузнецк, ул. Кирова, 42</p></bio><bio xml:lang="en"><p>Aleksei S. Leont’ev, Postgraduate of the Chair of Applied Information Technologies and Programming</p><p>42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007, Russian Federation</p></bio><email xlink:type="simple">aleksey.leontiev@evraz.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1679-0839</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рыбенко</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Rybenko</surname><given-names>I. А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Инна Анатольевна Рыбенко, д.т.н., профессор, заведующий кафед­рой прикладных информационных технологий и программирования</p><p>Россия, 654007, Кемеровская обл. – Кузбасс, Новокузнецк, ул. Кирова, 42</p></bio><bio xml:lang="en"><p>Inna A. Rybenko, Dr. Sci. (Eng.), Prof., Head of the Chair of Applied Information Technologies and Programming</p><p>42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007, Russian Federation</p></bio><email xlink:type="simple">rybenkoi@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Сибирский государственный индустриальный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Siberian State Industrial University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>01</day><month>03</month><year>2023</year></pub-date><volume>66</volume><issue>1</issue><fpage>119</fpage><lpage>126</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Леонтьев А.С., Рыбенко И.А., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Леонтьев А.С., Рыбенко И.А.</copyright-holder><copyright-holder xml:lang="en">Leont’ev А.S., Rybenko I.А.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://fermet.misis.ru/jour/article/view/2488">https://fermet.misis.ru/jour/article/view/2488</self-uri><abstract><p>В связи с развитием мировой торговли у металлургических комбинатов появилась большая вариативность при составлении производственного плана. На АО «ЕВРАЗ Западно-Сибирский металлургический комбинат» (АО «ЕВРАЗ ЗСМК») шихту оптимизируют из 110 компонентов только в части агломерационного и доменного производств. Номенклатура выпускаемой продукции состоит более чем из 2000 единиц и меняется от месяца к месяцу. Обычно производственный план оптимизируют только внутри отдельных переделов. Целью оптимизации является минимизация себестоимости передела и максимизация производства. В работе представлены разработка и внедрение системы математического моделирования производства всего металлургического комбината на примере АО «ЕВРАЗ ЗСМК». В отличие от существующих систем моделирования переделов целью системы является единовременная сквозная оптимизация всех переделов комбината. Конечная цель – максимизация прибыли всего комбината. В процессе эксплуатации новой системы в 2019 – 2020 гг. были обнаружены высокие трудозатраты при работе пользователей. Например, совершается более 10 000 тестовых итераций расчетов для выпуска 60 планов за год и расчета 30 экономических кейсов. Разработана и проанализирована форма статистики, которая показала следующие основные проблемы: неразрешимость модели из-за ввода математически некорректных данных; повторные расчеты экономических кейсов для выделения и интерпретации отдельных изменившихся факторов плана от бюджета; ошибки на этапе верификации данных из-за некорректного химического состава элементов или неверных настроек модели под конкретный период работы. Для устранения недостатков системы разработаны системы валидации вводимых данных на этапе до и после расчетов, модули анализа чувствительности и факторный расчет, система автоматического заполнения химического состава, а также добавлена возможность переобучения модели на исторических данных.</p></abstract><trans-abstract xml:lang="en"><p>Metallurgical plants (smelters) adjust their production plans to match changing global demand. EVRAZ West Siberian Metallurgical Combine JSC  (EVRAZ ZSMK) employs furnace charges and pellets containing 110 components, with a product range exceeding 2000 items that vary from month to month. The production plan is optimized individually for each manufacturing process, with the goal of minimizing costs and maximizing output. This paper discusses the development and deployment of the smelter simulation system currently in use at EVRAZ ZSMK. Unlike other solutions, this system performs concurrent, end-to-end optimization of all smelter processes, with the ultimate goal of maximizing the company's profit. During the system's operation from 2019 to 2020, users encountered tedious and time-consuming tasks, such as creating 60 production plans per year, conducting 10,000 test iterations, and analyzing 30 scenarios. To gather statistical data, a feedback form was used, which identified several issues. Firstly, the mathematical model fails with incorrect input data. Secondly, repeated analyses are required to identify and interpret the plan/actual cost discrepancies. Thirdly, data validation errors, such as incorrect chemical composition or model settings unsuitable for the specific timeframe, were observed. To address these shortcomings, several measures were developed: an input data validator (before and after analysis) was introduced; sensitivity and factor analysis modules were developed to aid in identifying and interpreting cost discrepancies; a chemical composition uploading tool was developed to ensure data validation. Finally, the system was retrained on historical datasets to improve its accuracy.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>математическое моделирование</kwd><kwd>оптимизация</kwd><kwd>математическая модель</kwd><kwd>планирование производства</kwd></kwd-group><kwd-group xml:lang="en"><kwd>simulation</kwd><kwd>optimization</kwd><kwd>mathematical model</kwd><kwd>production planning</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Лисиенко В.Г., Соловьева Н.В., Трофимова О.Г. Альтернативная металлургия: проблема легирования, модельные оценки эффективности. Москва: изд. Теплотехник; 2007: 440.</mixed-citation><mixed-citation xml:lang="en">Lisienko V.G., Solov’eva N.V., Trofimova O.G. Alternative Metallurgy: Problem of Alloying, Model Efficiency Estimates. Moscow: Izd. Teplotekhnik; 2007: 440. 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