Affiliations: [a] Computer Science Department, Faculty of Exact and Applied Sciences, University of Oran 1 Ahmed Ben Bella, Oran, Algeria | [b] QLIO Department, University of Cergy Pontoise, Paris, France
Correspondence:
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Corresponding author: Mansour Mededjel, Computer Science Department, Faculty of Exact and Applied Sciences, University of Oran 1 Ahmed Ben Bella, Oran, Algeria. E-mail:m.mededjel@gmail.com
Abstract: In recent years, the increase in commercial traffic,
specifically in food industry, has a negative impact on the cost of
logistics and environment. In other words, it has also an increased risk on
quality, safety and food traceability. The development of traceability
systems permits to reduce logistical risks in the food supply chains, given
that identification, tracking and real-time monitoring in supply chains were
always difficult tasks due to the heterogeneity of platforms and
technologies. The advent of Internet of Things (IoT) and cloud computing has
brought new approaches to collect, transfer, store and share information
through improved cooperation and interoperability between logistics actors.
In this work, an approach is proposed for the development of a food
traceability system based on IoT technologies, cloud and fog computing to
collect information and record events related to products anywhere in the
supply chain. The goal is to satisfy users' requests in terms of condition,
quality, and position of their products. Finally, a case study for a food
contamination scenario is presented to illustrate the usefulness of our
approach.
Keywords: Traceability, IoT, cloud computing, fog computing, logistics, food contamination
