---
res:
  bibo_abstract:
  - Design for Assembly, Disassembly and Reassembly (DfADR) prepares for high levels
    of material circularity in terms of repair and remanufacturing. The intention
    of reassembling products and their part simplies that inspection and sorting need
    to be integrated with value-conserving objectives. Further, disassembly and reassembly
    require higher competence levels of workforce than assembly. To provide the required
    information during engineering, a metadata model (MDM) is required that links
    established product models to capability models. Since processes to be carried
    out for realizing a product largely determine required employees’ capabilities,
    the proposed approach uses the ADR process domain to connect product and capability
    domains. The research is based on a systematic literature analysis to identify
    existing approaches regarding MDMs of ADR processes. Based on the results, an
    integrative MDM is developed that answers defined competence questions. The model
    enables queries which support engineers by feedback on which skills are required
    for a product. This builds up a basis to check whether required skills are available
    in the manufacturing company, either early in product engineering or later in
    ADR planning.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: I.
      foaf_name: Gräßler, I.
      foaf_surname: Gräßler
      foaf_workInfoHomepage: http://www.librecat.org/personId=47565
    orcid: 0000-0001-5765-971X
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Hesse, Thomas
      foaf_surname: Hesse
      foaf_workInfoHomepage: http://www.librecat.org/personId=76202
  - foaf_Person:
      foaf_givenName: Jens
      foaf_name: Pottebaum, Jens
      foaf_surname: Pottebaum
      foaf_workInfoHomepage: http://www.librecat.org/personId=405
    orcid: http://orcid.org/0000-0001-8778-2989
  bibo_doi: 10.17619/UNIPB/1-2640
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_publisher: LibreCat University@
  dct_title: Enabling extreme data by using DS/AI approaches@
...