2026-10-13T12:47:54Zhttps://www.radar-service.eu/oai/OAIHandler

10.35097/jmqqccv03nkur79f2026-10-09T10:49:32Zradar4kit

https://dx.doi.org/10.35097/jmqqccv03nkur79f Pirc, Vanessa Tusch, Leonard Cross-Generational Remanufacturing: Identifying high-potential subsystems through differential analysis of product generations (Dataset) Karlsruhe Institute of Technology 2026 Engineering dataset Dataset info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode A critical factor for implementation of the recently developed concept of Cross-Generational Remanufacturing (CG-Reman) – i.e., integrating remanufactured subsystems into new products of the latest product generation for the primary market in a planned and anticipated industrial process – is determining which subsystems of a focal product should be considered prioritized in targeted “Design for CG-Reman” efforts. As one method to identify such potential, we propose the method of a differential analysis, which identifies promising subsystems by assessing the extent, relevance, and baseline impact of each observed change between product generations. Based on empirical studies of two product generations of a kitchen appliance, we developed a framework for conducting such differential analysis along with suitable evaluation criteria. The analysis supports a systematic and applicable assessment of CG-Reman potential and thereby the directed application of CG-Reman. This dataset is is published under the DOI 10.35097/jmqqccv03nkur79f and includes the data used and described in the publication with the DOI 10.1016/j.procir.2024.12.124 Dataset compiled in Microsoft Excel as part of the referenced publication, including tear-down pictures, measurements and differential analysis between two generations of a kitchen appliance. https://publikationen.bibliothek.kit.edu/1000191588 application/x-tar