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Product traceability can ensure high level of product: quality, integrity and availability. It can be defined as the ability to track & trace individual items throughout their whole lifecycle from manufacturing to recycling. This includes real-time data analytics about actual product behavior (ability to Track) and product historical data (ability to Trace). The need of such systems is becoming increasingly important in multiple domains such as: food, pharmaceutical and cosmetics Supply chains suffering from proliferation of counterfeit items, product diversions and grey market. This paper presents a comparative study between several works on product traceability and proposes a standardized traceability system architecture. We consider a cyber-physical system vision of the supply chain to ensure system integrity and guarantee safety and quality to consumers. We also demonstrate that using Big Data technologies can ensure system interoperability between the different supply chain actors.
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