Project description
New ICT infrastructure and IoT architectures to support operations in PI Logistics Networks
Modular load units, along with smoother supply chain interfaces, can improve transportation efficiency by achieving greater load factors, higher infrastructure utilisation, faster transportation, better security, less emission, and fewer damages and losses. The EU-funded ICONET project aims to optimise end-to-end physical internet flow in pursuit of a new networked architecture for interconnected logistics hubs combined with IoT capabilities. Modelling and analysis techniques, along with serious game-type simulation, physical and digital prototyping, and living lab requirements scenarios and data will be used to develop warehousing, e-commerce fulfilment and synchromodality as services. By allowing shipments to be routed towards final destinations automatically through an information-centric networking paradigm, and by optimising efficiency and customer service, the project aims to advance the EU's green agenda.
Objective
ICONET will significantly extend state of the art research and development around the PI concept in pursuit of a new networked architecture for interconnected logistics hubs that combine with IoT capabilities and aiming towards commercial exploitation of results. ICONET strives to achieve the end commercial goal of allowing shipments to be routed towards final destinations automatically, by using collaborative decisions inspired by the information centric networking paradigm, and optimizing efficiency and customer service levels across the whole network. According to this vision, cargo regarded as smart physical packets will flow between hubs based on ‘content’ of the cargo influencing key commercial imperatives such as cost, optimisation, routing, efficiency and advancing EU's Green agenda. Consequently, the consortium are discernibly aimed at three (3) avenues of commercialisation and exploitation from the ICONET innovation, specifically targeted in the areas of (a) Warehousing as a service, (b) E-commerce fulfillment as a service, and (c) Synchromodality as a service.
PI based logistic configurations will be simulated, prototyped and validated in the project . Modelling and analysis techniques will be combined with serious game type simulation, physical and digital prototyping, using living lab (LL) requirements scenarios and data. With analyses and simulations, optimal topologies and distribution policies for PI will be determined. The project implementation will be based on a succession of phases of modelling and design/prototyping, learning and experimentation and feedback and interaction with the wider business community, including the ALICE logistics platform as well as members of the partner Associations ESC, UIRR and ELUPEG. Through its Living Labs, the project will address under the PI paradigm both Supply Network Collaboration and Supply Network Coordination.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencesmathematicspure mathematicstopology
- social scienceseconomics and businessbusiness and managementcommercee-commerce
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Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
1050 Bruxelles / Brussel
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.