Plateforme fiable utilisant la technologie DLT pour un environnement industriel basé sur l'IoT

Abstract

Boosted by modern technologies such as the Internet of Things (IoT), artificial intelligence (AI), Cloud, and so on, an innovative shift in economic models towards collaborative and dynamically constructed productions processes is being shaped worldwide, including in the context of supply chains. Nonetheless, current systems are incapable of managing/analyzing the massive amounts of incoming data as proposed in centralized situations. Consequently, the current network infrastructure cannot fully harness the Internet of Things' potential, resulting in data loss. Besides, the proliferation of IoT devices in the market increases the need for platforms that support data transparency to enforce full trust in information sharing and enable collaboration among the various partners. Existing supply chains have several drawbacks as a result of independent partners' lack of cooperation and mistrust. Blockchain, the distributed ledger technology (DLT), is a promising solution for the new technological business challenges. Based on a cryptographically decentralized platform, it ensures business applications' productivity enhancement and the removal of many limitations such as a lack of trust and data transparency. However, with the massive influx of IoT data, Blockchain faces numerous major challenges that prevent it from integrating into the supply chain. Directed ayclic graph (DAG) DLT, as an alternative to Blockchain, can address all of the drawbacks of Blockchain. Still, it has additional constraints such as smart contract limitations and a lack of task allocation mechanism. To that end, the purpose of this thesis is to define a new supply chain framework that considers the proliferation of IoT and the needs of new collaboration models through the integration of DLT technologies. We propose combining Blockchain and DAG into a single platform to respond to new supply chain requirements while bridging the gaps caused by these DLTs' drawbacks. Furthermore, we propose a distributed algorithm that runs on the DAG side to reallocate the numerous tasks among the various IoT devices, resulting in a high-performing system. Moreover, the DLT transparency feature shows unease with data privacy and supply chain control. Therefore, we investigate and analyse the DLT transparency impacts by shedding light on the existing supply chain projects. The study comes up with several mechanisms that could be used to achieve the supply chain goal and conclude that our DLT proposal has the suitable infrastructure for the required enhancements.