The problem addressed in this final thesis revolves around the case of building trust and ensuring reliability within the automotive supply chain. Some of the major challenges within the supply chain include monitoring and ensuring the security of information flows related to the production processes within the automotive industry. To assess the reliability of the production processes, a qualitative method called Process Failure Mode & Effect Analysis (PFMEA) was used to evaluate risks in the manufacturing process. Information about the status of the process analysis was communicated through a conceptual web 3.0 platform based on blockchain technology.
The key sustainability of the proposed system relies on the implementation of the educational platform Process Space, available for sharing knowledge within the organization and the supply chain, in the form of expert capsules (processes). By addressing the problem above and applying the appropriate methodology, we developed a conceptual model of the supply chain supported by a virtual web 3.0 platform. This platform enables the reliability of shared information within the supply chain. Users of this platform would have the ability to assess the reliability of component supplier processes by automatically verifying customer requirements on the web 3.0 platform, and comparing results obtained directly from supplier production processes.
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