453
Views
1
CrossRef citations to date
0
Altmetric
Methods, Models, & Theories

Modeling Fatigue in Manual and Robot-Assisted Work for Operator 5.0

ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 135-147 | Received 08 May 2023, Accepted 17 Feb 2024, Published online: 05 Mar 2024

References

  • Abubakar, M. I., & Wang, Q. (2019). Key human factors and their effects on human centered assembly performance. International Journal of Industrial Ergonomics, 69, 48–57. https://doi.org/10.1016/j.ergon.2018.09.009
  • Alexander, T., & Fromm, L. (2019). Beyond anthropometry and biomechanics: Digital human models for modeling realistic behaviors of virtual humans. In D. N. Cassenti (Ed.), Advances in human factors in simulation and modeling (pp. 26–33). Springer International Publishing. https://doi.org/10.1007/978-3-319-94223-0_3
  • Allemang-Trivalle, A., Donjat, J., Bechu, G., Coppin, G., Klaproth, O. W., Mitschke, A., Schirrmann, A., Chollet, M., & Cao, C. G. L. (2023). Human model for industrial system and product design in Industry 5.0: A case study. IISE Annual Conference Proceedings, 1–2.
  • Arista, R., Zheng, X., Lu, J., & Mas, F. (2023). An ontology-based engineering system to support aircraft manufacturing system design. Journal of Manufacturing Systems, 68, 270–288. https://doi.org/10.1016/j.jmsy.2023.02.012
  • Boenzi, F., Digiesi, S., Mossa, G., Mummolo, G., & Romano, V. A. (2015). Modelling workforce aging in job rotation problems. IFAC-PapersOnLine, 48(3), 604–609. https://doi.org/10.1016/j.ifacol.2015.06.148
  • Breque, M., De Nul, L., & Petridis, A, European Commission, Directorate-General for Research and Innovation. (2021). Industry 5.0: Towards a sustainable, human centric and resilient European industry. Publications Office of the European Union. https://doi.org/10.2777/308407
  • Brombach, J., Kämpfer, G., & Markfort, J. (2019). Von der Idee zur ergonomischen Verbesserung – Ein Projekt bei Airbus. In Landmann, N., & Schat, H.D. (Eds.), Ideen erfolgreich managen. Springer Gabler. https://doi.org/10.1007/978-3-658-26520-5_1
  • Efe, B., Kremer, G., & Kurt, M. (2018). Age and gender-based workload constraint for assembly line worker assignment and balancing problem in a textile firm. International Journal of Industrial Engineering: Theory Applications and Practice, 25, 1–17. https://doi.org/10.23055/ijietap.2018.25.1.2961
  • Elmaraghy, W. H., Nada, O. A., & Elmaraghy, H. A. (2008). Quality prediction for reconfigurable manufacturing systems via human error modelling. International Journal of Computer Integrated Manufacturing, 21(5), 584–598. https://doi.org/10.1080/09511920701233464
  • Fritzsche, L., Jendrusch, R., Leidholdt, W., Bauer, S., Jäckel, T., & Pirger, A. (2011). Introducing EMA (editor for manual work activities) – A new tool for enhancing accuracy and efficiency of human simulations in digital production planning. In V. G. Duffy (Ed.), Digital human modeling (Vol. 6777, pp. 272–281). Springer. https://doi.org/10.1007/978-3-642-21799-9_31
  • Fuchs, K., Sonntag, N., Schnalke, G., & Jacobsen, A. (2016). Die Produktionsergonomie im demografischen Wandel. In Gesellschaft für Arbeitswissenschaft e.V. Herbstkonferenz 2016: Fokus Mensch im Flugzeugbau.
  • Guiffrida, A. L., & Nagi, R. (1998). Fuzzy set theory applications in production management research: A literature survey. Journal of Intelligent Manufacturing, 9(1), 39–56. https://doi.org/10.1023/A:1008847308326
  • Helle, P., Feo-Arenis, S., Mitschke, A., & Schramm, G. (2019). Smart component modeling for complex system development. In International conference on complex systems design & management (pp. 117–128). Springer International Publishing. https://doi.org/10.1007/978-3-030-34843-4_10
  • Helle, P., Richter, S., & Schramm, G. (2022). Implementing and deploying an execution environment for multidisciplinary-analyses in a heterogeneous tool landscape [Paper presentation]. The Eighth International Conference on Fundamentals and Advances in Software Systems Integration (FASSI 2022), Lisbon, Portugal.
  • Jaber, M. Y., Givi, Z. S., & Neumann, W. P. (2013). Incorporating human fatigue and recovery into the learning–forgetting process. Applied Mathematical Modelling, 37(12–13), 7287–7299. https://doi.org/10.1016/j.apm.2013.02.028
  • Katiraee, N., Calzavara, M., Finco, S., Battini, D., & Battaïa, O. (2021). Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research. International Journal of Production Research, 59(11), 3237–3268. https://doi.org/10.1080/00207543.2021.1884766
  • Kolus, A., Wells, R., & Neumann, P. (2018). Production quality and human factors engineering: A systematic review and theoretical framework. Applied Ergonomics, 73, 55–89. https://doi.org/10.1016/j.apergo.2018.05.010
  • Nardo, M., Forino, D., & Murino, T. (2020). The evolution of man-machine interaction: The role of human in Industry 4.0 paradigm. Production & Manufacturing Research, 8(1), 20–34. https://doi.org/10.1080/21693277.2020.1737592
  • van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(1–3), 229–241. https://doi.org/10.1016/S0165-0114(83)80082-7