Data Model for Ecological Sustainability in Manufacturing: A Digital Product Passport Approach
摘要
European regulations on climate change and environmental sustainability impose stricter disclosure requirements on manufacturers, while certifications emphasize transparent ecological practices, turning sustainability into a key competitive factor. This study introduces a structured framework for representing ecological factors at the product level, aligning sustainability goals with economic success through indicators derived from EU Corporate Sustainability Reporting Directive (CSRD) obligations, legal provisions, and certification criteria—including metrics related to the circular economy. To operationalize these indicators, Asset Administration Shell (AAS)-based models are proposed for both “Cradle to Gate” and “Gate to Gate” life cycle phases, effectively enabling a Digital Product Passport (DPP) and seamless Industry 4.0 integration. Embedded in a reference architecture, the proposed model supports data-driven decision-making, regulatory compliance, and automated integration into intelligent manufacturing systems. Grounded in a systematic literature review and current approaches to sustainability assessment, this research presents a scalable solution for incorporating ecological performance indicators into flexible manufacturing environments. Ultimately, the framework provides a practical guideline for companies to implement regulatory sustainability requirements while optimizing resource efficiency, ensuring reporting compliance, supporting sustainable production, and enhancing competitiveness in the transition to smart, green manufacturing.