Speaker
Description
The European Union is promoting Digital Product Passports (DPPs) under the Ecodesign for Sustainable Products Regulation to enhance traceability, sustainability, and circularity across value chains. Although many ongoing initiatives focus on data infrastructure and indicator development, the decision-support potential of DPPs remains largely unexplored. To address this gap, a flexible Decision Support System (DSS) has been developed to increase the practical value of DPP data for sustainable decision-making. This paper (i) identifies and maps DPP data elements that can serve as criteria in Multiple Criteria Decision Analysis (MCDA), and (ii) proposes the design of a modular, user-sensitive DSS that integrates these heterogeneous criteria to provide scoring and ranking capabilities for DPP-based alternatives. In this study, a specific DPP ontology was used as a reference structure to demonstrate how DPP-derived criteria can be operationalised through the DSS into a MCDA decision matrix, including attributes related to design and manufacturing, as well as circularity and sustainability. This decision matrix, together with the decision maker’s preferences, is then used in a case study to support the selection of the most suitable production route for material supply. The application illustrates the general usefulness of the framework and its adaptability to different decision logics and preference structures. The resulting DSS can support manufacturers, regulators, and customers in selecting products that best satisfy their requirements across multiple strategic decision dimensions, including performance, cost, sustainability, and circularity.
| Keywords | digital product passport; multi-criteria decision analysis; decision support system; sustainability; circularity; decision-making |
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| Participation in the SNSF Early-Stage Researcher Support and Award Scheme | I am submitting a regular presentation and would like to participate in the SNSF Early-Stage Researcher Support and Award Scheme. |