Industry X.0: The Food Industry
https://doi.org/10.37442/fme.2023.2.33
Abstract
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.
About the Author
Aram G. Galstyan
All-Russian Scientific Research
Institute of Dairy Industry (Federal
State Autonomous Scientific
Institution «VNIIMI»)
Russian Federation
Russian Federation
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Review
For citations:
Galstyan A.G. Industry X.0: The Food Industry. FOOD METAENGINEERING. 2023;1(2). (In Russ.) https://doi.org/10.37442/fme.2023.2.33
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