mplementation of artificial intelligence methods and the Just-in-Time concept into the infor-mation system of a food enterprise

Анотація

The article examines modern aspects of applying the Just-in-Time (JIT) concept to food indus-try enterprises. The historical development of the concept, its core principles, implementation methods, and the specific challenges of adapting it to an industry with short production cycles have been analyzed. The key advantages of JIT, including inventory reduction, improved prod-uct quality, and lower storage and transportation costs, have been identified. The study de-scribes the risks arising from supply disruptions, seasonality, demand fluctuations, and food safety requirements. The paper proposes a set of methods for improving food enterprise busi-ness processes by augmenting the JIT logistics system with modern information technologies: enterprise management systems (ERP, MES, and WMS), Internet of Things (IoT) technologies, Big Data analytics, and artificial intelligence (AI). Using examples from food industry enter-prises, the article suggests ways to apply regression analysis, clustering, association rules, fore-casting, and artificial neural networks within the JIT framework. Adapting the JIT concept to the operational environment of Ukrainian food enterprises and integrating it with modern IT solutions can enhance their competitiveness in both domestic and international markets. The success of this approach largely depends on the availability of state support, modernization of production facilities, employee engagement, and the creation of an appropriate information en-vironment. The implementation of the JIT concept, integrated with AI methods into an enter-prise information system, will contribute to reducing production costs and overall expenses, and, consequently, increasing profitability.

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