The main limitation of the current Circular Economy model is that production and de- and re-manufacturing operations are carried out independently, without sharing information and economic benefits; this problem can only be overcome by rethinking the current European industrial system into new collaborative and sustainable value networks. The EU-funded DigiPrime Project aims to resolve this current information asymmetry among stakeholders in the value chain by providing secure access to information about materials, components and products, thereby unlocking cross-sector circular value chains. DigiPrime’s goal will be achieved through the development of a digital platform that will unlock new circular business models based on the recovery and reuse of functions and materials from high-value-added post-use products, with a cross-sectoral approach.

DigiPrime is validated through several cross-sectoral pilot projects, further detailed in 20 use cases covering different European industries (automotive, renewable energy, electronics, textiles, construction), and by additional pilot projects in new sectors, funded through an open call mechanism.

This project is coordinated by Milan Polytechnic University and involves 36 partners from 12 countries.

This project has received funding from the European Union’s Horizon 2020 Framework Program, topic DT-ICT-07-2018-2019 “Digital Manufacturing Platforms for Connected Smart Factories,” under Grant Agreement ID 873111. La SIA SpA participates in the Digiprime project through its subsidiary 7 Consulting with the BATMAN (Bim-bAsed approach To sustainable, circular product lifecycle MANagement solutions) project.

The BATMAN project aims to bridge the gap between existing product lifecycle management solutions and the models and needs for a circular and sustainable precast component manufacturing process by providing a software module to collect, process and analyze process data to improve production models within manufacturing value chains and enable circular and sustainable processes. The module will be validated by leveraging SEVEN’s experience in using process data to improve existing physical and functional models for construction. This key objective can be divided into several sub-objectives described below: