{"id":2979,"date":"2025-10-18T11:38:52","date_gmt":"2025-10-18T08:38:52","guid":{"rendered":"https:\/\/resources.today\/en\/?p=2979"},"modified":"2026-01-30T00:49:25","modified_gmt":"2026-01-29T21:49:25","slug":"09faor425","status":"publish","type":"post","link":"https:\/\/resources.today\/en\/09faor425.html","title":{"rendered":"Modern trends in automation of technological processes in the food industry"},"content":{"rendered":"<p style=\"text-align: right;\"><strong>Goncharov Andrey Vitalievich<\/strong><br \/>\nK.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University),<br \/>\nMoscow, Russia<br \/>\nE-mail: a.goncharov@mgutm.ru<\/p>\n<p style=\"text-align: justify;\"><strong>Abstract.<\/strong> Modern economic realities of the food industry are characterized by a fundamental transformation of production processes under the influence of the fourth industrial revolution, the mass introduction of artificial intelligence technologies, robotics, the Internet of Things and digital twins, which is due to the need to increase competitiveness in the context of globalization of markets, tightening product safety requirements and a growing shortage of qualified personnel. The subject of the research is modern technologies for automation of production processes in the food industry, including MES and ERP systems, the Industrial Internet of Things, machine vision based on neural networks, robotic systems, digital twins of production lines, as well as organizational and economic aspects of their implementation at Russian and foreign enterprises in the industry. The theoretical foundations of Industry 4.0 are considered in relation to the specifics of food production, the evolution of approaches to automation from local APCS to integrated cyber-physical systems, international experience of digital transformation of leading companies in the industry and the features of the Russian path of technological modernization. Analysis of the evolution of automation in the food industry revealed the transition from fragmentary mechanization of individual operations to the creation of fully integrated production ecosystems, where physical processes are inextricably linked with digital models, providing an unprecedented level of control, optimization and adaptability of production. The key results of the study include systematization of modern automation technologies by production hierarchy levels, identification of critical factors for successful digital transformation of enterprises, analysis of the economic efficiency of implementing various technological solutions with ROI indicators from 150 % to 400 % depending on the scale and specifics of production. The developed conceptual model of an integrated automation system for a food enterprise demonstrates the architecture of interaction between technological levels from field devices to cloud analytics platforms, providing end-to-end traceability, predictive quality management and optimization of resource use. The scientific novelty of the study lies in a comprehensive analysis of the current stage of technological transformation of the food industry through the prism of the Industry 4.0 concept, systematization of technological solutions taking into account the specifics of various sub-sectors of food production, identification of the features of the Russian path of automation in the context of import substitution and development of methodological approaches to assessing the readiness of enterprises for digital transformation. The practical significance is determined by the possibility of using the research results to formulate strategies for the technological development of food enterprises, substantiate investment decisions in the field of automation, develop training programs for working with modern production technologies and create industry standards for digital transformation.<\/p>\n<p style=\"text-align: justify;\"><strong>Keywords:<\/strong> food industry automation; Industry 4.0; digital twins; industrial internet of things; machine vision; MES systems; robotics; artificial intelligence; predictive analytics; HACCP<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Goncharov Andrey Vitalievich K.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University), Moscow, Russia E-mail: a.goncharov@mgutm.ru Abstract. Modern economic realities of the food industry are characterized by a fundamental transformation of production processes under the influence &hellip;<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47,5],"tags":[],"class_list":["post-2979","post","type-post","status-publish","format-standard","hentry","category-issue-s4-2025","category-article"],"_links":{"self":[{"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/posts\/2979","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/comments?post=2979"}],"version-history":[{"count":1,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/posts\/2979\/revisions"}],"predecessor-version":[{"id":2980,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/posts\/2979\/revisions\/2980"}],"wp:attachment":[{"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/media?parent=2979"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/categories?post=2979"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/resources.today\/en\/wp-json\/wp\/v2\/tags?post=2979"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}