Ратнер С.В.доктор экономических наук, главный научный сотрудник лаборатории экономической динамики и управления инновациями, Институт проблем управления им. В.А. Трапезникова Российской академии наук (ИПУ РАН); профессор кафедры экономико-математического моделирования, Российский университет дружбы народов (РУДН), Москва, Российская Федерация lanaratner@ipu.ru https://orcid.org/0000-0003-3485-5595 SPIN-код: 7840-4282
Шапошников А.М.кандидат экономических наук, старший преподаватель кафедры международной коммерции Высшей школы корпоративного управления, Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС); научный сотрудник кафедры экономико-математического моделирования, Российский университет дружбы народов (РУДН), Москва, Российская Федерация horen25@mail.ru https://orcid.org/0000-0003-3720-2725 SPIN-код: 7451-6291
Предмет. Современная методология оценки сравнительной эффективности деятельности однородных экономических агентов – анализ среды функционирования (Data Envelopment Analysis, DEA) – за последние годы получила существенное развитие за счет разработки новых моделей, позволяющих учитывать структуру экономических агентов и/или их продукционных систем. Включение в модель априорной информации о структуре производственных и управленческих процессов экономического агента существенно повышает информативность результатов моделирования с помощью анализа среды функционирования и позволяет существенно расширить спектр практических приложений данной методологии. Цели. Систематизация и классификация современных практических приложений сетевого анализа среды функционирования, идентификация типов дополнительной информации, которая может быть извлечена из решения задач сетевого анализа среды функционирования для стратегического менеджмента компаний (организаций). Методология. Систематический литературный обзор. Результаты. Наиболее активно многоэтапные модели DEA в настоящее время используются для моделирования и оценки эффективности деятельности банков, цепей поставок, состоящих из связки «поставщик – производитель – дистрибьютор», инновационных, высокотехнологичных компаний (или территорий), а также компаний, чья деятельность регламентируется жесткими экологическими нормами. Меньше всего многоэтапные модели DEA пока что применяются для моделирования потребительского поведения как последовательного процесса, состоящего из множества этапов, что объясняется неразвитостью подходов к измерению факторов потребительского поведения. Выводы. В качестве основного различия между типами многоэтапных сетевых моделей можно выделить отсутствие или наличие общих входов для нескольких этапов, которые разделяются в определенной пропорции между этапами (подсистемами). Данный фактор существенно влияет на вид оптимизационной модели и на подходы к ее решению. Наличие общих входов порождает необходимость решения дополнительной оптимизационной задачи по распределению ресурсов между подсистемами.
Ключевые слова: сетевой анализ среды функционирования, поэтапное моделирование, частичная эффективность, системная эффективность, сетевая структура
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