A framework for Big Data driven product traceability system
Auteurs : Mohamed Amin BENATIA (LINEACT), Victor-Emmanuel DE SA (LINEACT), David BAUDRY (LINEACT), Hugues DELALIN (LINEACT), Pierre HALFTERMEYER (LINEACT)
Conférence : Communications avec actes dans un congrès international - 21/03/2018 - gy. P4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
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