New ICT Infrastructure & Reference Architecture to Support Operations in Future PI Logistics Networks

Demonstration and Use

The ICONET PoC will be deployed, tested, refined and extended in four industry-driven PI Living Labs each focusing on one of four Key PI Capabilities:

  • PI Hub, which refers to the capabilities of different hub types and the possible connections (topologies) to support optimised PI networks in which PI containers travel according to synchromodality principles, i.e. making use of the most suitable transport mode at the time, while taking into account the type of cargo, the available transport resources, optimisation criteria and SLAs, thereby setting up an interesting industry-supported use case where PI Hubs, PI Routing, PI Containers, etc., seamlessly mix with new Business Strategies and Models. PI movements between PI nodes include: from terminal to terminal within a PI hub; from terminal in one PI hub to terminal in another PI hub; between PI nodes (warehouses, distribution centres, others) in a PI corridor.
  • PI Corridor, which examines the transformation (modelling) of TEN-T corridors into IoT-enabled PI corridors, to support optimised movement of PI containers between two PI hubs and the broader PI network.
  • e-Commerce Fulfilment as a Service, which explores the impact of the PI on e-commerce fulfilment models, since last-mile transport is an important aspect of the overall PI landscape. Redesigning last-mile distribution centres to fulfil PI hub roles and investigating the role of other forms of mobile or multi-role last-mile hubs fall within this scope.
  • Warehousing as a Service, which investigates the role of the warehouse as a key PI node acting as a dynamic buffer for flow between other PI hubs, so as to increase throughput of hubs, reduce congestion, etc.

 

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© 2018 ICONET

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This project is funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769119

The views expressed by the ICONET Consortium do not necessarily represent the views of the EU Commission/INEA.
The Consortium and the EU Commission/INEA are not responsible for any use that may be made of the information it contains
EU-flag-(high-resolution)

This project is funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769119

The views expressed by the ICONET Consortium do not necessarily represent the views of the EU Commission/INEA.
The Consortium and the EU Commission/INEA are not responsible for any use that may be made of the information it contains