EVIoT – Economic Value of IoT Data in Cyberphysical Supply Chains
Team: Carsten Maple (Warwick University), Jan Godsell (Warwick University), Jim Smith (Warwick University), Jonathan Cave (Warwick University).
Partners: Concentra, Costain, Pinsent Masons
The coming of the 4th Industrial Revolution, is re-defining not only business models but the supply chains and networks required to support them. Whilst there can be intrinsic value in the data itself, data flows are also required to enable the physical flow of materials and cash. The next generation of business models will require co-ordination across the end-to-end supply chain, and connectivity to complimentary services. These models will only be possible if the data is secure and there is trust across all parties in the network.
This project will involve the modelling of data through the supply chain using approaches from graph theory, underpinned by economic theory. It will consider points of weakness in the security of the chains, and identify points at which data can be most effectively exploited to derive maximum economic value.
- Mapping supply chains using a number of case studies
- Modelling and analysis of supply chains through Chain Graph
- Best practice guidelines based upon identification of potential interface weaknesses and strengths