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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">economyprom</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика промышленности / Russian Journal of Industrial Economics</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Industrial Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-1633</issn><issn pub-type="epub">2413-662X</issn><publisher><publisher-name>MISIS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2072-1633-2017-2-153-161</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-596</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>Экономика предприятий</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Business economics</subject></subj-group></article-categories><title-group><article-title>Товарная политика промышленных предприятий в нечетких условиях</article-title><trans-title-group xml:lang="en"><trans-title>Product policy of light industry enterprises under fuzzy conditions</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>Силаков</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Silakov</surname><given-names>A. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д-р экон. наук, профессор</p><p> </p></bio><bio xml:lang="en"><p>Dr. Sci. (Econ.), Professor</p></bio><email xlink:type="simple">avsilakov@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Генералова</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Generalova</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>канд. экон. наук, доцент</p></bio><bio xml:lang="en"><p>Cand. Sci. (Econ.), Associate Professor</p></bio><email xlink:type="simple">generalann@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО РГУ имени А.Н. Косыгина</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian State University named after A.N. Kosygina</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>06</day><month>12</month><year>2017</year></pub-date><volume>10</volume><issue>2</issue><fpage>153</fpage><lpage>161</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Силаков А.В., Генералова А.В., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Силаков А.В., Генералова А.В.</copyright-holder><copyright-holder xml:lang="en">Silakov A.M., Generalova A.V.</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://ecoprom.misis.ru/jour/article/view/596">https://ecoprom.misis.ru/jour/article/view/596</self-uri><abstract><p>Рассмотрен процесс структурирования портфеля промышленного предприятия в рамках поиска сбалансированности портфеля. Предложен подход к многомерному структурированию товарного портфеля с использованием выявления: технико-технологических признаков выпускаемой продукции, назначения продукции для потребления и B2B рынка, систем производственного сервиса. Для разрешения выявленного нами противоречия между концепцией «потребительского» товарного маркетинга и реальностью промышленных предприятий предлагаем в основу структурирования их товарного портфеля и товарных стратегий закладывать модифицированную трехмерную матрицу, в которой к осям: товар и рынок, – добавляется ось – технологии. По каждой из осей предложенная матрица делится на 2 квадранта: «новые» и «старые». В первый вписываются все товары, рынки и технологии, с которыми предприятие работает, во второй – все перспективные товары, рынки и технологии. Таким образом, формируется многомерная (в данном случае, трехмерная) матрица: «Товар – Рынок – Технология», учитывающая особенности маркетинга производственных предприятий на современных рынках в инновационных условиях развития.  Показана возможность построения нечеткой множественной прогнозной модели жизненного цикла товара на основе модели диффузии инноваций с нечетко оцениваемыми параметрами статистической модели. В результате прогнозирования по предложенной нечеткой модели может быть вычислено треугольное нечеткое число прогноза потребления данного товара на определенный год жизненного цикла данного продукта. Подобная оценка является более адекватной характеру исходных данных и включает в себя также модель неопределенности оценки и риска в процентном выражении отсутствия достижения объемом потребления товара подобного критического значения.</p><sec><title> </title><p> </p></sec><sec><title> </title><p> </p></sec></abstract><trans-abstract xml:lang="en"><p>The process of the structuring of an industrial enterprise product portfolio is examined in the framework of the portfolio balancing search. In order to resolve the contradiction between the concept of «consumer» marketing and the reality of industrial enterprises, we propose to build a modified three-dimensional matrix in which to the two axes: the commodity and the market, – the third technology axis is added. For each axis the matrix is divided into 2 quadrants «new» and «old». The first quadrant carries all products, markets and technologies with which the enterprise operates, the second – all promising goods, markets and technologies. Thus, a multidimensional (in this case, three-dimensional) matrix is constructed: «Commodity – Market – Technology», taking into account the features of marketing of manufacturing enterprises marketing under innovative development conditions of modern markets The possibility is shown to construct a multiple forecast model of a product life cycle basing on the model of innovation diffusion with fuzzy estimated parameters of a static model. The resulting forecast makes it possible to determine a triangular fuzzy number of the product consumption for a certain life cycle year. Such an estimation better correspond with initial data and includes the percent estimated model of estimation uncertainty, if the consumption forecast will be not achieved.</p><sec><title> </title><p> </p></sec><sec><title> </title><p> </p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>товарный портфель</kwd><kwd>промышленное предприятие</kwd><kwd>структурирование</kwd><kwd>технико-технологические параметры</kwd><kwd>назначение</kwd><kwd>системы производственного сервиса</kwd><kwd>нечетко-множественное прогнозирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>product portfolio</kwd><kwd>industrial enterprise</kwd><kwd>structuring</kwd><kwd>technical and technological parameters</kwd><kwd>purpose</kwd><kwd>systems of the production service</kwd><kwd>fuzzy forecasting</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">Котлер Ф. Маркетинг менеджмент. 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