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<front> <journal-meta>
<journal-id journal-id-type="publisher-id">Journal of Economics, Entrepreneurship and Law</journal-id>
<journal-title-group>
<journal-title xml:lang="en">Journal of Economics, Entrepreneurship and Law</journal-title>
<trans-title-group xml:lang="ru">
<trans-title>Экономика, предпринимательство и право</trans-title>
</trans-title-group>
</journal-title-group>
<issn publication-format="electronic">2222-534X</issn>
<publisher>
<publisher-name xml:lang="en">BIBLIO-GLOBUS Publishing House</publisher-name>
</publisher>
</journal-meta><article-meta>
<article-id pub-id-type="publisher-id">124746</article-id>
<article-id pub-id-type="doi">10.18334/epp.16.3.124746</article-id>
<article-id custom-type="edn" pub-id-type="custom">GQBWGY</article-id>
<article-categories>
<subj-group subj-group-type="toc-heading" xml:lang="en">
<subject>Articles</subject>
</subj-group>
<subj-group subj-group-type="toc-heading" xml:lang="ru">
<subject>Статьи</subject>
</subj-group>
<subj-group subj-group-type="article-type">
<subject>Research Article</subject>
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</article-categories>
<title-group>
<article-title xml:lang="en">Operational planning of vaccine delivery</article-title>
<trans-title-group xml:lang="ru">
<trans-title>Оперативное планирование доставки вакцин</trans-title>
</trans-title-group>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9020-2228</contrib-id><contrib-id contrib-id-type="spin">2283-4063</contrib-id><contrib-id contrib-id-type="scopus">57204397984</contrib-id><contrib-id contrib-id-type="researcherid">B-1067-2014</contrib-id>
<name-alternatives>
<name xml:lang="en">
<surname>Larin</surname>
<given-names>Oleg Nikolayevich</given-names>
</name>
<name xml:lang="ru">
<surname>Ларин</surname>
<given-names>Олег Николаевич</given-names>
</name>
</name-alternatives>
<bio xml:lang="ru">
<p>доктор технических наук, профессор, профессор кафедры предпринимательства и логистики; профессор кафедры цифровые технологии управления транспортными процессами</p>
</bio>
<email>larin_on@mail.ru</email>
<xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/>
</contrib>

<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7699-4361</contrib-id><contrib-id contrib-id-type="spin">3973-0440</contrib-id>
<name-alternatives>
<name xml:lang="en">
<surname>Matosov</surname>
<given-names>Mikhail Viktorovich</given-names>
</name>
<name xml:lang="ru">
<surname>Матосов</surname>
<given-names>Михаил Викторович</given-names>
</name>
</name-alternatives>
<bio xml:lang="ru">
<p>Аспирант кафедры предпринимательства и логистики</p>
</bio>
<email>Matios88@mail.ru</email>
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</contrib>
</contrib-group><aff-alternatives id="aff1">
<aff>
<institution xml:lang="en">Plekhanov Russian University of Economics</institution>
</aff>
<aff>
<institution xml:lang="ru">Российский экономический университет им. Г.В. Плеханова</institution>
</aff>
</aff-alternatives>        
        <aff-alternatives id="aff2">
<aff>
<institution xml:lang="en">Russian University of Transport (MIIT)</institution>
</aff>
<aff>
<institution xml:lang="ru">Российский университет транспорта (МИИТ)</institution>
</aff>
</aff-alternatives>        
        
<pub-date date-type="pub" iso-8601-date="2026-03-31" publication-format="electronic">
<day>31</day>
<month>03</month>
<year>2026</year>
</pub-date>
<volume>16</volume>
<issue>3</issue>
<issue-title xml:lang="en">VOL 16, NO3 (2026)</issue-title>
<issue-title xml:lang="ru">ТОМ 16, №3 (2026)</issue-title>
<fpage>1441</fpage>
<lpage>1458</lpage>
<history>
<date date-type="received" iso-8601-date="2026-02-12">
<day>12</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted" iso-8601-date="2026-03-18">
<day>18</day>
<month>03</month>
<year>2026</year>
</date>
</history>

<permissions>
<copyright-statement xml:lang="en">Copyright ©; 2026, Larin O.N., Matosov M.V.</copyright-statement>
<copyright-statement xml:lang="ru">Copyright ©; 2026, Ларин О.Н., Матосов М.В.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder xml:lang="en">Larin O.N., Matosov M.V.</copyright-holder>
<copyright-holder xml:lang="ru">Ларин О.Н., Матосов М.В.</copyright-holder>
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<self-uri xlink:href="https://1economic.ru/lib/124746">https://1economic.ru/lib/124746</self-uri>
<abstract xml:lang="en"><p>Participants in vaccine supply chains typically plan their interactions based on long-term contracts providing for the delivery of drugs at set intervals in specified volumes using one or more modes of transport. However, in emergency situations, vaccine suppliers are forced to adjust existing plans to accommodate the needs of new recipients. Therefore, logistics companies are interested in using advanced solutions that enable them to determine optimal options for delivering vaccines to all recipients in full, within the specified timeframe, given limited logistics resources. For operational vaccine delivery planning, we propose using a developed mathematical model that determines the most cost-effective delivery options from supplier to recipients and allows for determining the required number of logistics resources required to fully fulfill the stated volumes. The developed model can also be used as a basis for developing integrated planning models for vaccine delivery from multiple suppliers to different recipients</p>
</abstract>
<trans-abstract xml:lang="ru"><p>Участники цепочек поставок вакцин планируют взаимодействие, как правило, на основе долгосрочных договоров, предусматривающих поставки лекарственных препаратов с установленной периодичность в заданных объемах с использованием одного или нескольких видов транспорта. Однако в чрезвычайных ситуациях поставщики вакцин вынуждены корректировать действующие планы с учётом потребностей новых получателей. Поэтому логистические компании заинтересованы в использовании передовых решений, позволяющих определять оптимальные варианты доставки вакцин всем получателем в полном объеме в установленные сроки в условиях ограниченного количества логистических ресурсов. Для оперативного планирования доставки вакцин предлагается использовать разработанную математическую модель, которая определяет оптимальные по стоимости варианты доставки от поставщика получателям, а также позволяет определять потребное количество логистических ресурсов, необходимое для полного выполнения заявленных объемов. Разработанная модель также может использоваться в качестве основы для разработки моделей комплексного планирования доставки вакцин от множества поставщиков различным получателям</p>
</trans-abstract>
<kwd-group xml:lang="en">
<kwd>cold chain</kwd>
<kwd>delivery method</kwd>
<kwd>vaccine logistics</kwd>
<kwd>operational planning</kwd></kwd-group><kwd-group xml:lang="ru">
<kwd>холодовая цепь</kwd>
<kwd>способ доставки</kwd>
<kwd>логистика вакцин</kwd>
<kwd>оперативное планирование</kwd></kwd-group>
</article-meta>
</front>
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