Advancing food manufacturing: Leveraging robotic solutions for enhanced quality assurance and traceability across global supply networks

Abstract

Background

The food manufacturing industry faces increasing challenges such as escalating demands for quality and traceability, labor shortages, and rising operational costs. These issues necessitate innovative solutions to enhance productivity, ensure product quality, and maintain competitiveness.

Scope and approachthis

work examines the integration of robotic technology in food manufacturing, focusing on current technologies, practical applications through case studies, and an analysis of emerging trends. The study aims to assess how robotics can address the industry's critical challenges, exploring its role in improving efficiency, ensuring product safety, and contributing to sustainable practices.

Key findings and conclusions

Robotic systems offer unprecedented precision and consistency, automating complex tasks from ingredient handling to packaging. By compensating for labor shortages and elevating product quality, these systems set new safety standards. With AI and IoT integration, robotics enhance real-time monitoring and data analytics, thereby boosting traceability and regulatory compliance across global supply chains. Furthermore, by optimizing resource use and reducing waste, robotics drive sustainability. This study underscores the need for stakeholders and policymakers to promote robotic adoption through targeted workforce training, supportive regulations, and technology incentives. To secure the future of food manufacturing, strategic integration of robotics is essential, aligning technological advances with traditional practices to effectively meet global food demands.