---
res:
  bibo_abstract:
  - '<jats:title>Abstract</jats:title><jats:p>Traditional work models often need more
    flexibility and time autonomy for employees, especially in manufacturing. Quantitative
    approaches and Artificial Intelligence (AI) applications offer the potential to
    improve work design. However, current research does not entirely focus on human-centric
    criteria that enable time autonomy. This paper addresses this gap by developing
    a set of criteria to evaluate intelligent personnel planning approaches based
    on their ability to enhance time autonomy for employees. Existing quantitative
    approaches are not sufficient to fully integrate the developed criteria.</jats:p><jats:p>Consequently,
    a novel model approach is proposed in an attempt to bridge the gap between current
    practices and the newly developed criteria. This two-stage planning approach fosters
    democratization of time autonomy on the shopfloor, moving beyond traditional top-down
    scheduling. The paper concludes by outlining the implementation process and discusses
    future developments with respect to AI for this model approach.</jats:p><jats:p><jats:italic>Practical
    Relevance</jats:italic>: In order to make working conditions on the shopfloor
    in high-wage countries more attractive, an alternative organization of shift work
    is needed. Intelligent planning approaches that combine traditional operations
    research methods with artificial intelligence approaches can democratize shift
    organization regarding time autonomy. Planning that takes both employee and employer
    preferences into account in a balanced way will strengthen the long-term competitiveness
    of manufacturing companies in high-wage countries and counteract the shortage
    of skilled labor.</jats:p>@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Benedikt
      foaf_name: Latos, Benedikt
      foaf_surname: Latos
      foaf_workInfoHomepage: http://www.librecat.org/personId=84474
  - foaf_Person:
      foaf_givenName: Armin
      foaf_name: Buckhorst, Armin
      foaf_surname: Buckhorst
  - foaf_Person:
      foaf_givenName: Peyman
      foaf_name: Kalantar, Peyman
      foaf_surname: Kalantar
      foaf_workInfoHomepage: http://www.librecat.org/personId=85984
  - foaf_Person:
      foaf_givenName: Dominik
      foaf_name: Bentler, Dominik
      foaf_surname: Bentler
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Gabriel, Stefan
      foaf_surname: Gabriel
  - foaf_Person:
      foaf_givenName: Roman
      foaf_name: Dumitrescu, Roman
      foaf_surname: Dumitrescu
  - foaf_Person:
      foaf_givenName: Michael
      foaf_name: Minge, Michael
      foaf_surname: Minge
      foaf_workInfoHomepage: http://www.librecat.org/personId=78302
    orcid: 0000-0003-1930-7064
  - foaf_Person:
      foaf_givenName: Barbara
      foaf_name: Steinmann, Barbara
      foaf_surname: Steinmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=77747
    orcid: 0009-0000-3036-2684
  - foaf_Person:
      foaf_givenName: Nadine
      foaf_name: Guhr, Nadine
      foaf_surname: Guhr
      foaf_workInfoHomepage: http://www.librecat.org/personId=77748
    orcid: 0000-0001-8812-1488
  bibo_doi: 10.1007/s41449-024-00432-7
  bibo_issue: '3'
  bibo_volume: 78
  dct_date: 2024^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0340-2444
  - http://id.crossref.org/issn/2366-4681
  dct_language: eng
  dct_publisher: Springer-Verlag GmbH@
  dct_subject:
  - Personnel Planning
  - Time Autonomy
  - Human-Centric Optimization
  - Artificial Intelligence
  - Manufacturing
  dct_title: 'Time autonomy in personnel planning: Requirements and solution approaches
    in the context of intelligent scheduling from a holistic organizational perspective
    @'
...