---
_id: '66683'
abstract:
- lang: eng
  text: 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.
author:
- first_name: I.
  full_name: Gräßler, I.
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Thomas
  full_name: Hesse, Thomas
  id: '76202'
  last_name: Hesse
- first_name: Jens
  full_name: Pottebaum, Jens
  id: '405'
  last_name: Pottebaum
  orcid: http://orcid.org/0000-0001-8778-2989
citation:
  ama: 'Gräßler I, Hesse T, Pottebaum J. Enabling extreme data by using DS/AI approaches.
    In: Graessler I, ed. <i>1st International Symposium on Hybrid Intelligence in
    Product and Production Engineering</i>. LibreCat University; 2026. doi:<a href="https://doi.org/10.17619/UNIPB/1-2640">10.17619/UNIPB/1-2640</a>'
  apa: Gräßler, I., Hesse, T., &#38; Pottebaum, J. (2026). Enabling extreme data by
    using DS/AI approaches. In I. Graessler (Ed.), <i>1st International Symposium
    on Hybrid Intelligence in Product and Production Engineering</i>. LibreCat University.
    <a href="https://doi.org/10.17619/UNIPB/1-2640">https://doi.org/10.17619/UNIPB/1-2640</a>
  bibtex: '@inproceedings{Gräßler_Hesse_Pottebaum_2026, place={Paderborn}, title={Enabling
    extreme data by using DS/AI approaches}, DOI={<a href="https://doi.org/10.17619/UNIPB/1-2640">10.17619/UNIPB/1-2640</a>},
    booktitle={1st International Symposium on Hybrid Intelligence in Product and Production
    Engineering}, publisher={LibreCat University}, author={Gräßler, I. and Hesse,
    Thomas and Pottebaum, Jens}, editor={Graessler, Iris}, year={2026} }'
  chicago: 'Gräßler, I., Thomas Hesse, and Jens Pottebaum. “Enabling Extreme Data
    by Using DS/AI Approaches.” In <i>1st International Symposium on Hybrid Intelligence
    in Product and Production Engineering</i>, edited by Iris Graessler. Paderborn:
    LibreCat University, 2026. <a href="https://doi.org/10.17619/UNIPB/1-2640">https://doi.org/10.17619/UNIPB/1-2640</a>.'
  ieee: 'I. Gräßler, T. Hesse, and J. Pottebaum, “Enabling extreme data by using DS/AI
    approaches,” in <i>1st International Symposium on Hybrid Intelligence in Product
    and Production Engineering</i>, Paderborn, 2026, doi: <a href="https://doi.org/10.17619/UNIPB/1-2640">10.17619/UNIPB/1-2640</a>.'
  mla: Gräßler, I., et al. “Enabling Extreme Data by Using DS/AI Approaches.” <i>1st
    International Symposium on Hybrid Intelligence in Product and Production Engineering</i>,
    edited by Iris Graessler, LibreCat University, 2026, doi:<a href="https://doi.org/10.17619/UNIPB/1-2640">10.17619/UNIPB/1-2640</a>.
  short: 'I. Gräßler, T. Hesse, J. Pottebaum, in: I. Graessler (Ed.), 1st International
    Symposium on Hybrid Intelligence in Product and Production Engineering, LibreCat
    University, Paderborn, 2026.'
conference:
  location: Paderborn
  start_date: '25'
date_created: 2026-08-07T11:59:52Z
date_updated: 2026-08-07T12:05:12Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2640
editor:
- first_name: Iris
  full_name: Graessler, Iris
  last_name: Graessler
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Paderborn
publication: 1st International Symposium on Hybrid Intelligence in Product and Production
  Engineering
publication_status: published
publisher: LibreCat University
quality_controlled: '1'
status: public
title: Enabling extreme data by using DS/AI approaches
type: conference
user_id: '76202'
year: '2026'
...