Skip to main content
SpringerLink
Log in

Objective and Subjective Factors Affecting Neurodiverse Inclusion in Manufacturing

  • Conference paper
  • First Online:
Advances in Manufacturing IV (MANUFACTURING 2024)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 28 Accesses

Abstract

The workplace inclusion of individuals with cognitive disabilities, or neurodiversity, is a multifaceted and intricate phenomenon that necessitates a comprehensive understanding of the factors that either facilitate or hinder it. Tools that can aid in achieving this understanding are the fuzzy cognitive maps, graphical representations of the mental models that individuals or groups possess regarding a particular topic. This paper employs cognitive maps to examine perceived barriers to inclusion among various stakeholders in enterprises, including managers, employees, and individuals with disabilities. Additionally, we analyze survey results from employees in enterprises of varying sizes and sectors to evaluate attitudes towards disabled individuals and the level of inclusion they experience. The comparison of the cognitive maps with the survey revealed several biases affecting the attitude of normal workers towards neurodiverse individuals. Analysis of these anomalies enabled the authors to propose recommendations for improving inclusion practices and policies in enterprises.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Doyle, N.: Neurodiversity at work: a biopsychosocial model and the impact on working adults. Br. Med. Bull. 135(1), 108 (2020)

    Article  Google Scholar 

  2. Hollenweger, J.: Definition and classification of disability. UNICEF, New York (2014)

    Google Scholar 

  3. Bach, B., First, M.B.: Application of the ICD-11 classification of personality disorders. BMC Psychiatry 18, 1–14 (2018)

    Article  Google Scholar 

  4. Waugh, M.H., Hopwood, C.J., Krueger, R.F., Morey, L.C., Pincus, A.L., Wright, A.G.: Psychological assessment with the DSM–5 alternative model for personality disorders: tradition and innovation. Prof. Psychol. Res. Pract. 48(2), 79 (2017)

    Article  Google Scholar 

  5. Mark, B.G., Hofmayer, S., Rauch, E., Matt, D.T.: Inclusion of workers with disabilities in production 4.0: legal foundations in Europe and potentials through worker assistance systems. Sustainability 11(21), 5978 (2019)

    Article  Google Scholar 

  6. Friedman, C.: RESPECT: the relationship between being respected and quality of life of disabled people. Disabil. Stud. Q. 38(2) (2018)

    Google Scholar 

  7. UNIDO. Inclusive and Sustainable Industrial Development (n.d.). https://www.unido.org/inclusive-and-sustainable-industrial-development. Accessed 30 Nov 2023

  8. Litwin, P., Antonelli, D., Stadnicka, D.: Employing disabled workers in production: simulating the impact on performance and service level. Int. J. Prod. Res. 1–16 (2023)

    Google Scholar 

  9. Hall, E., Wilton, R.: Alternative spaces of work and inclusion for disabled people. Disabil. Soc. 26(7), 867–880 (2011)

    Article  Google Scholar 

  10. Wellener P., et al.: Creating pathways for tomorrow’s workforce today: beyond reskilling in manufacturing. Deloitte Insights (2021)

    Google Scholar 

  11. Kosko, B.: Fuzzy cognitive maps. Int. J. Man Mach. Stud. 24(1), 65–75 (1986)

    Article  Google Scholar 

  12. Papageorgiou, E., Stylios, C.: Fuzzy cognitive maps. Handb. Granular Comput. 123, 755–775 (2008)

    Article  Google Scholar 

  13. Felix, G., et al.: A review on methods and software for fuzzy cognitive maps. Artif. Intell. Rev. 52, 1707–1737 (2019)

    Article  Google Scholar 

  14. Arya, V., Deshmukh, S., Bhatnagar, N.: Product quality in an inclusive manufacturing system: some considerations. J. Intell. Manuf. 30, 2871–2884 (2019)

    Article  Google Scholar 

  15. Mantovani, S., Presti, I., Cavazzoni, L., Baldini, A.: Influence of manufacturing constraints on the topology optimization of an automotive dashboard. Procedia Manuf. 11, 1700–1708 (2017)

    Article  Google Scholar 

  16. Syberfeldt, A., Danielsson, O., Holm, M., Wang, L.: Visual assembling guidance using augmented reality. Procedia Manuf. 1, 98–109 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Politecnico di Torino, 10129, Turin, Italy

    Dario Antonelli & Alessia Marina

  2. Rzeszów University of Technology, Rzeszów, Poland

    Dorota Stadnicka & Paweł Litwin

Authors
  1. Dario Antonelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alessia Marina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dorota Stadnicka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Paweł Litwin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dario Antonelli .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Poznań University of Technology, Poznan, Poland

    Filip Gorski

  2. Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Răzvan Păcurar

  3. Department of Automation, Electrical Engineering and Electronic Technology, Polytechnic University of Cartagena, Cartagena, Spain

    Joaquín F. Roca González

  4. Faculty of Mechanical Engineering, Poznań University of Technology, Poznan, Poland

    Michał Rychlik

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Antonelli, D., Marina, A., Stadnicka, D., Litwin, P. (2024). Objective and Subjective Factors Affecting Neurodiverse Inclusion in Manufacturing. In: Gorski, F., Păcurar, R., Roca González, J.F., Rychlik, M. (eds) Advances in Manufacturing IV. MANUFACTURING 2024. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-56456-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56456-7_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56458-1

  • Online ISBN: 978-3-031-56456-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation