foodmetaFOOD METAENGINEERINGFOOD METAENGINEERING2949-6497All-Russian Dairy Research Institute10.37442/fme.2023.2.33foodmeta-33Research ArticleОт редактораFrom the EditorИндустрия Х.0. Пищевая промышленностьIndustry X.0: The Food Industryhttps://orcid.org/0000-0002-0786-2055ГалстянАрам ГенриховичGalstyanAram G.a_galstyan@vnimi.orgВсероссийский научно-исследовательский институт молочной промышленности (ФГАНУ «ВНИМИ»)РоссияAll-Russian Scientific Research Institute of Dairy Industry (Federal State Autonomous Scientific Institution «VNIIMI»)Russian Federation20231812202312710Copyright © Галстян А.Г., 20232023Галстян А.Г.Galstyan A.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.fme-journal.org/jour/article/view/33

Цель редакторской статьи – прокомментировать значимость прогнозирования и моделирования будущих тенденций развития пищевой промышленности. Автор обосновывает, что интеграция производственных решений в мировой контекст требует алгоритмизированного контроля эффективности и специфической маршрутизации процессов. Комментируется универсальность этих базовых принципов для поддержания работоспособности различных моделей промышленных трансформаций, а также указывает на неизбежность стагнации для локальных решений, которые не интегрируются в глобальные ценности. Автор выделяет важность междисциплинарного анализа для прогнозирования развития пищевой промышленности, учитывая мировые демографические изменения и события последних лет. Комментируется необходимость моделирования макротенденций и циклов в различных сферах для оптимизации управления обществом и минимизации рисков на глобальном, региональном и национальном уровнях. Обсуждаются многопараметрические задачи, связанные с анализом глобальных процессов, включая демографические изменения, войны, конфликты и пандемии. В заключение автор акцентирует внимание на важности учета цифровизации и потенциальной проблемы технологической сингулярности, призывая к формированию адаптивных производственных стратегий.

 

The purpose of the editorial article is to comment on the significance of forecasting and modeling future trends in the development of the food industry. The author argues that the integration of production decisions into the global context requires algorithmic control of efficiency and specific process routing. The universality of these basic principles for maintaining the operability of various industrial transformation models is discussed, as well as highlighting the inevitability of stagnation for local solutions that do not integrate into global values. The author emphasizes the importance of interdisciplinary analysis for forecasting the development of the food industry, taking into account global demographic changes and recent events. The need to model macro-trends and cycles in various spheres to optimize societal management and minimize risks at the global, regional, and national levels is commented upon. Multiparametric tasks associated with the analysis of global processes, including demographic changes, wars, conflicts, and pandemics, are discussed. In conclusion, the author focuses on the importance of accounting for digitalization and the potential problem of technological singularity, calling for the formation of adaptive production strategies.

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The authors declare that there are no conflicts of interest present.