Circular Product Value Through AI Services in Discreet Remanufacturing and Paper Machine Process

Current industrial value chains are not designed for R-cycles, data and AI services in mind. Regulations (DPP, DGA) drive towards sharing product data which creates an opportunity to unlock new data driven value in R-cycles. However, it is not clear what is the new value that AI services could bring in concrete industrial use cases.

GG_CAI project was established to identify potential AI services, data sources and new value for chosen R-cycles. The approach was based on creating a minimum viable R-cycles and locating value adding AI services on the product lifecycle within that R-cycle. After careful considerations, and from 9-availabe R-strategies, two were chosen for which project targeted creating new solutions. First one is remanufacturing in discreet manufacturing and the second, refurbishment of paper making process. The latter was made in collaboration with VTT Jyväskylä pilot paper machine researchers.

The main outcomes of the project were a) Minimum Viable Closed-Loop in Remanufacturing with identified IPR possibilities for VTT AI research, b) AI service for paper machine process stability monitoring and c) Visual Language model implementation on steel part defect detection.

Knowledge created in the project, provided input both to research strategy of BA5610 Humancentric AI team as well as for future research project proposals. In addition, a software notification was made on the develop AI paper process stability model.