This article provides a comprehensive analysis of the application and efficiency of robotic equipment within the framework of the digital transformation of the modern food industry. The integration of Industry 4.0 technologies into food production is evaluated as a strategic necessity that not only enhances productivity but also addresses global food security challenges. At the core of the research lies the “technological resilience” of robotic systems, considering the biological diversity and sensitivity of food products.

Given the complexity of the integration process, the role of multi-criteria decision-making methods—specifically AHP, TOPSIS, and VIKOR methodologies—in selecting the most optimal robotic solutions for enterprises is scientifically interpreted. The analysis reveals that in the food sector, hygiene standards (e.g., IP69K rating) and food-contact material compatibility possess higher weight coefficients than technical speed or payload capacity during the selection process. The paper also emphasizes the significance of cyber-physical systems, digital twins, and predictive maintenance in optimizing production cycles and minimizing downtime.

The findings suggest that the success of robotization depends on how adaptively these systems are integrated into the enterprise's overall digital ecosystem and the effective organization of human-robot collaboration. This study provides a framework for food manufacturers to navigate the technological shift toward more resilient and intelligent production environments, offering a methodological basis for future automation strategies.