ICONET

ICONET is a 30 month project that will significantly extend the state of the art research and development around the Physical Internet (PI)concept in pursuit of a new networked architecture for interconnected logistics hubs by focusing on the following:

  • Research, under the PI umbrella, into new business models that underpin intermodal transport, warehousing and ecommerce fulfilment
  • Development of an experimental ICT proof of concept (PoC) Infrastructure Platform to support the simulation and testing of the PI concepts
  • Development of representative PI solutions for each of the three Focus Areas for the corresponding Living Labs.

 

The New ICT Infrastructure & Reference Architecture to Support Operations in Future PI Logistics Networks (ICONET) strategic goal is to establish a “cloud-based PI framework and platform”, which builds upon these latter leading-edge technologies, in a pathway that integrates PI-driven capabilities, by means of an incremental and verifiable approach that exploits progress in digital and physical interconnectivity through open and public Application Programming Interfaces (APIs).

 

ICONET commences with the outside-in design of mutually beneficial PI business models for the principal supply chain actors creating the ICONET PI Framework and PI Hubs Plan.

 

The PI business models set the context, and lead to the formal requirements, specifications and design of the PI Control and Management Platform, with the aim to yield networking technologies in conjunction with infrastructure, middleware and application componentry, realising the ICONET concepts and capabilities, in the form of a demonstrable Proof of Concept (PoC).

 

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 (KIPC):

 

  • 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 multirole 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.

 

Finally, the Impact, Communication, Capacity Building and Commercialisation, taking over all project outputs, has the goal of delivering a feasibility study, market analyses and business plan in support of understanding and anticipating the broader dimensions to successful productisation and exploitation of ICONET’s innovation, in turn laying the foundational steps for evolving the PoC towards a scalable, market-oriented enterprise offering. 4 patents are expected to be filed to protect freedom of usage and commercial exploitation of ICONET’s results.

 

For more information, please check the ICONET project website. The ICONET flyer can be downloaded here.

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

 

 

 

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