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Section outline

  • Why is this Project Relevant for ALICE & the Physical Internet?

    Solution for connecting logistics information systems of different characteristics, intra- and cross-company, for immediate (real-time) exchange of information in support of logistics-related decisions.

    • Logistics Nodes

      The platform developed and tested by AEOLIX in 12 Living Lab  aimed to create capabilities for open service offer of nodes. A Software Development Kit (SDK) provided by the project allows for a generic node (e.g. a Port or a Terminal operator willing to share data or expose its available services) to easily integrate its internal technological infrastructure in order to register and insert their services in a global ecosystem. The features are tested in 12 Living Labs (including ports in the Atlantic coast of France). Nevertheless, it remains unclear how to standardise and scale-up such an architecture provided that similar concepts have already been experienced in previous research efforts and still remain applied in limited clusters.

    • Logistics Networks

      Most relevant features developed by the project and relevant for Logistics Networks are Enhanced supply chain visibility, Automation of data flow, CO2 calculation at supply chain level; a general presentation is reported in the AEOLIX project vision (https://aeolix.eu/wp-content/uploads/sites/11/2018/11/AEOLIX-Vision-Document-Nov-2018.pdf).

    • Governance

      AEOLIX worked on a platform business model (PBM) for identifying how to create value from the developed solutions. In addition, the consortium is claimed to initiating a “AEOLIX Not-for-profit legal entity” (https://aeolix.eu/wp-content/uploads/sites/11/2018/03/Vision-Document-February-2018-updated.pdf) in charge to supervise the overall management of the IT and operational infrastructure but no information is available about this body after the termination of the project (June 2019).

      The AEOLIX experience leverages on the bottom-up model to create logistics networks and systems of logistics networks.