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

IF 15.1 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
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引用次数: 0

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.

推进食品制造:利用机器人解决方案加强全球供应网络的质量保证和可追溯性
背景食品制造业面临着越来越多的挑战,例如对质量和可追溯性的要求不断提高、劳动力短缺以及运营成本上升。这些问题需要创新的解决方案来提高生产率、确保产品质量和保持竞争力。范围和方法本研究探讨了机器人技术在食品制造业中的整合,重点关注当前技术、通过案例研究进行的实际应用以及对新兴趋势的分析。研究旨在评估机器人技术如何应对该行业的关键挑战,探讨其在提高效率、确保产品安全和促进可持续发展方面的作用。主要发现和结论机器人系统具有前所未有的精确性和一致性,可自动完成从配料处理到包装的复杂任务。通过弥补劳动力短缺和提高产品质量,这些系统设定了新的安全标准。通过人工智能和物联网集成,机器人技术加强了实时监控和数据分析,从而提高了全球供应链的可追溯性和监管合规性。此外,通过优化资源利用和减少浪费,机器人技术还能推动可持续发展。本研究强调,利益相关方和政策制定者需要通过有针对性的劳动力培训、支持性法规和技术激励措施来促进机器人的应用。为了确保食品制造业的未来,必须对机器人技术进行战略整合,将技术进步与传统做法相结合,以有效满足全球食品需求。
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来源期刊
Trends in Food Science & Technology
Trends in Food Science & Technology 工程技术-食品科技
CiteScore
32.50
自引率
2.60%
发文量
322
审稿时长
37 days
期刊介绍: Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry. Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.
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