A framework for big data driven product traceability system

In recent years, the safety of consumer goods such as food products, drugs, etc. has become one of the major research challenge. This was due to the several food and drugs scandals and incidents that occurs during the 21st century (horse meat, mad cow disease, counterfeit drucs, etc.). To respond to this problem, multiple sectors of industry are becoming more client-oriented and needs faster response to deal with such issues. Product Traceability Systems (PTS) can ensure product authenticity over its whole lifecycle, thereby reducing the potential for bad publicity, minimising recall costs and stoping the distribution of unsafe products. However, current traceability systems are not adapted for all industries, they still deal with specific domain segment (food industry). This paper presents a comparative study between several works done on product traceability and proposes based on this study a standardized traceability system architecture based on Big Data technology.