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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">novtexmech</journal-id><journal-title-group><journal-title xml:lang="ru">Мехатроника, автоматизация, управление</journal-title><trans-title-group xml:lang="en"><trans-title>Mekhatronika, Avtomatizatsiya, Upravlenie</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1684-6427</issn><issn pub-type="epub">2619-1253</issn><publisher><publisher-name>Commercial Publisher «New Technologies»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17587/mau.17.37-41</article-id><article-id custom-type="elpub" pub-id-type="custom">novtexmech-249</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>АГЕНТНЫЕ СИСТЕМЫ УПРАВЛЕНИЯ И ПРИНЯТИЯ РЕШЕНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>AGENT SYSTEMS CONTROL AND DECISION MAKING</subject></subj-group></article-categories><title-group><article-title>Применение мультиагентной платформы для создания интеллектуальных систем управления ресурсами в реальном времени</article-title><trans-title-group xml:lang="en"><trans-title>Application of the Multi-Agent Platform for Development of Smart Resource Management Systems in Real-Time</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>Майоров</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Mayorov</surname><given-names>I. V.</given-names></name></name-alternatives><email xlink:type="simple">imayorov@smartsolutions-123.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>НПК "Разумные решения"</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Software Engineering Company "Smart Solutions" Ltd</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>28</day><month>08</month><year>2018</year></pub-date><volume>17</volume><issue>1</issue><fpage>37</fpage><lpage>41</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Commercial Publisher «New Technologies», 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Commercial Publisher «New Technologies»</copyright-holder><copyright-holder xml:lang="en">Commercial Publisher «New Technologies»</copyright-holder><license xlink:href="https://mech.novtex.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://mech.novtex.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://mech.novtex.ru/jour/article/view/249">https://mech.novtex.ru/jour/article/view/249</self-uri><abstract><p>Рассматривается задача построения и применения мультиагентной платформы для создания интеллектуальных систем управления ресурсами в реальном времени. Предлагается метод многокритериального планирования производственных и транспортных ресурсов на основе модифицированной модели сети потребностей и возможностей (ПВ-сети) предприятий, в котором проводится поочередное улучшение различных критериев в зависимости от ситуации, отражаемой состоянием ресурсов и потоком входящих событий. Агенты ПВ-сети обладают собственными целевыми установками, но способны идти на уступки и компромиссы для достижения интереса системы в целом. Экспериментально показана возможность решения сложных задач управления ресурсами в реальном времени, которые не решаются или плохо решаются классическими методами и известными эвристиками. Разработанный метод и платформа применены при создании промышленных систем управления ресурсами в различных предметных областях, обеспечивая 20...40 %-ное повышение эффективности предприятий.</p></abstract><trans-abstract xml:lang="en"><p>Problem statement: The paper considers a task of multi-agent platform development for designing smart resource management systems in real time. Multi-agent platform is based on main classes of interacting agents with competing interests represented by satisfaction and penalty functions. Methods: A method of multi-criteria planning of production and transport resources is proposed, based on a modified model of demand and resource network of enterprises, where various criteria are alternately improved depending on the situation reflected by the state of resources and incoming event flow. Every cycle of replanning has two stages: conflict-free planning and proactive schedule improving with conflicts resolutions. Enterprise production orders and industrial/human resources serve as demands and resources, correspondingly. Demand and resource network agents have their own goals but are capable of making a compromise to achieve a common interest of the whole system. Results: The paper experimentally demonstrates the opportunity of solving complex tasks of resource management, which cannot be solved by traditional methods and known heuristics with required quality and efficiency. Practical value: The developed method and platform can be applied when designing industrial systems of resource management in various domains, providing a 20-40 % increase of enterprise efficiency. The following systems has been developed and put into operation: a multi-agent system for scheduling of flight program, cargo flow and resources of the Russian Segment of the International Space Station; a system of railway transportation management; a system for workshop management of a machine-building enterprise; a system of transportation logistics and some others.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>мультиагентная платформа</kwd><kwd>поддержка принятия решений</kwd><kwd>адаптивное планирование</kwd><kwd>мультиагентная технология</kwd><kwd>планирование в реальном времени</kwd><kwd>промышленные применения</kwd><kwd>multi-agent platform</kwd><kwd>decision-making support</kwd><kwd>adaptive planning</kwd><kwd>multi-agent technology</kwd><kwd>real-time planning</kwd><kwd>industrial applications</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">Leung Y. 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