DPP4Value

In practice, however, manufacturing companies often lack an understanding of what data is needed and how it can be prepared in a semantic format and made available in a standardized way. A transferable approach to integrating DPP into existing production processes can thus create significant added value for companies and the circular economy.

To this end, existing processes at the industrial partners are analyzed for the necessary data in order to identify and close data gaps and semantically process the data as a whole. An AI-supported analysis tool, currently under development, is intended to assist in selecting the optimal R-strategy based on product passport data. In addition, new business models such as “DPP-as-a-Service” are being explored, and training formats for people involved in circular processes are being developed. The implementation of a DPP during ongoing operations is being tested using an industrial fan as an example. The added value and costs for manufacturing companies are being evaluated using technological, economic, and environmental metrics.

For the first time, this approach combines standardized data structures with concrete applications for R-strategies and operational decision-making processes. It enables small and medium-sized enterprises to meet regulatory requirements more efficiently and make informed decisions regarding the circular use of their products.