Radio Frequency IDentification for Meat Supply-Chain Digitalisation

Area of Science:

• Food Science and Technology
• Supply Chain Management
• Information Systems

Background:

• Traditional supply chains face challenges in ensuring product safety and quality.
• Increasing consumer demand for transparency and traceability in food products.
• The need for robust systems to manage complex global supply networks.

Purpose of the Study:

• To explore the potential of digitalized supply-chain traceability systems.
• To identify how these systems can improve food safety and perceived quality.
• To analyze the benefits for stakeholders across the supply chain.

Main Methods:

• Review of existing digital traceability technologies (e.g., blockchain, IoT).
• Analysis of case studies demonstrating system implementation.
• Assessment of impacts on safety metrics and consumer perception.

Main Results:

• Digital systems enhance real-time monitoring and data accessibility.
• Improved traceability reduces risks of contamination and fraud.
• Positive correlation between traceability and consumer trust/quality perception.

Conclusions:

• Digitalized traceability is crucial for modern food supply chains.
• Implementation can lead to significant improvements in safety and quality assurance.
• These systems foster greater transparency and accountability.