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Companies, especially small and medium-sized enterprises, are struggling with the overwhelming requests to proceed with digitalisation and data sharing, contribute to sustainable development goals and remain resilient and competitive with their limited resources. The twin transition is driving both digital and green transitions in the manufacturing industry at the same time. Further, the European Union (EU) is pushing towards a data economy, data spaces, green transition, ecodesign and digital product passport (DPP). Agile and interoperable DPP concepts and implementations are eagerly sought by the manufacturing industry. Asset Administration Shell (AAS) is a standardised Industry 4.0 technology used to gather data on assets and will help companies deploy the DPP in their business and facilitate circular innovation and design. [ABSTRACT FROM AUTHOR]

The European Union is introducing the concept of the Digital Product Passport (DPP) to the manufacturing industry. The first domain areas are batteries and textiles, but regulation will soon reach all manufacturing domains. In this paper, we briefly discuss the requirements of the DPP and its contributions to the circular economy and sustainable decision making through the product lifecycle and manufacturing value chain. Some preliminary architectural viewpoints are explained, aligned with the intention to exploit the International Data Spaces (IDS) reference architecture for secure data sharing among various actors. A practical way to manage the complex innovation process of how to cocreate and implement the DPP via several iterative minimum viable DPP deployments is also outlined. It contains the proof-of-concept process with the build-measure-learn circles and the sprint model. [ABSTRACT FROM AUTHOR]

This paper discovers the research path when testing the ManuMaturity model and upgrading it to guide manufacturing companies beyond Industry 4.0, towards data sharing within a supply chain, to an open innovation ecosystem and towards sustainable manufacturing. The original ManuMaturity model has five maturity levels: traditional factory, modern factory, agile factory, agile cognitive factory and agile cognitive industry. Together with the seven dimensions--infrastructure, data, customer, business model, employee and sustainability--it was implemented as an open self-assessment web tool. The tool was tested with a group of manufacturing companies and the feedback was gathered both via the discussions with the manufacturing companies and the service providers. In this paper, the insights are presented as well as the potential additional elements of the extended maturity model. [ABSTRACT FROM AUTHOR]