@misc{11997,
  abstract     = {{In Germany, individuals unable or not yet able to return to the general labor market due to disabilities are employed in sheltered workshops which are called WfbM (“Werkstätten für behinderte Menschen”). These organizations are required to earn the wages for the aforementioned group of people by offering market services. These services include, in particular, assembly activities. However, WfbM face the challenge that customer orders tend to become more complex, especially as a result of an increased number of product variants. This development not only has an impact on the work in WfbM, but also makes it much more difficult to achieve the desired inclusion of people with disabilities in the general labor market. Bearing this in mind, the research question addressed in this article can be stated as such: How far can the use of an informational assistance system compensate for performance deficits of people with disabilities in the context of assembly? The results of the conducted laboratory study show that the implementation of an assistance system can help to reduce existing barriers and challenges resulting from the mismatch between requirements of the general labor market and the performance characteristics of people with cognitive impairments.
Practical Relevance: For people with disabilities, the use of assistance systems opens up new opportunities for participation in the general labor market and thus makes an important contribution to implementing the requirements of the “Bundesteilhabegesetz” (a law to strengthen participation of people with disabilities in Germany).}},
  author       = {{Bendzioch, Sven and Hinrichsen, Sven}},
  booktitle    = {{Zeitschrift für Arbeitswissenschaft (ZfA)}},
  issn         = {{2366-4681}},
  keywords     = {{Informational Assistance System, People with Disabilities, Manual Assembly, Image Processing System, Laboratory Study}},
  number       = {{2}},
  pages        = {{240--253}},
  publisher    = {{Springer-Verlag GmbH }},
  title        = {{{Potentials of an informational assembly assistance system for persons with cognitive disabilities — Results of a laboratory study}}},
  doi          = {{10.1007/s41449-024-00414-9}},
  volume       = {{78}},
  year         = {{2024}},
}

@misc{12009,
  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>}},
  author       = {{Latos, Benedikt and Buckhorst, Armin and Kalantar, Peyman and Bentler, Dominik and Gabriel, Stefan and Dumitrescu, Roman and Minge, Michael and Steinmann, Barbara and Guhr, Nadine}},
  booktitle    = {{Zeitschrift für Arbeitswissenschaft}},
  issn         = {{2366-4681}},
  keywords     = {{Personnel Planning, Time Autonomy, Human-Centric Optimization, Artificial Intelligence, Manufacturing}},
  number       = {{3}},
  pages        = {{277--298}},
  publisher    = {{Springer-Verlag GmbH}},
  title        = {{{Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective }}},
  doi          = {{10.1007/s41449-024-00432-7}},
  volume       = {{78}},
  year         = {{2024}},
}

@article{10662,
  author       = {{Latos, Benedikt and Holtkötter, Christoph and Brinkjans, Jan and Kalantar, Peyman and Przybysz, Philipp M. and Mütze-Niewöhner, Susanne}},
  issn         = {{2366-4681}},
  journal      = {{Zeitschrift für Arbeitswissenschaft}},
  keywords     = {{General Medicine}},
  number       = {{1}},
  pages        = {{90--98}},
  publisher    = {{Springer}},
  title        = {{{Partizipatives und simulationsgestütztes Vorgehen zur Konzeption einer flexiblen und demografierobusten Montagelinie}}},
  doi          = {{10.1007/s41449-017-0081-8}},
  volume       = {{72}},
  year         = {{2017}},
}