Einfluss der Mensch-Maschine-Interaktion auf das Maschinendesign in der Social Networked Industry

Authors

  • Dominik Borst Lehrstuhl für Förder- und Lagerwesen (FLW), Fakultät Maschinenbau, Technische Universität Dortmund
  • Christopher Reining Lehrstuhl für Förder- und Lagerwesen (FLW), Fakultät Maschinenbau, Technische Universität Dortmund
  • Michael ten Hompel Lehrstuhl für Förder- und Lagerwesen (FLW), Fakultät Maschinenbau, Technische Universität Dortmund

DOI:

https://doi.org/10.2195/lj_Proc_borst_de_201811_01

Keywords:

Mensch-Maschine-Interaktion, Motion Capturing, Social Networked Industry, Maschinendesign

Abstract

This contribute describes a new approach for rapid physical prototyping of machine components in material flow systems. First, current stipulations and evaluation methods for machine design such as laws, technical norms and industry standards are examined with regards to their implications for the human factor. This status quo is contrasted with the requirements that result from the central ideas of the Social Networked Industry and research gaps are derived. The requirements take functional and ergonomic aspects into account. A procedure to use Motion Capturing as a reference tool is demonstrated. It enables a quantitative analysis of the interdependency of machine design and the human perspective.

Downloads

Published

2018-11-30

How to Cite

Borst, D., Reining, C., & ten Hompel, M. (2018). Einfluss der Mensch-Maschine-Interaktion auf das Maschinendesign in der Social Networked Industry. Logistics Journal: Proceedings, (14). https://doi.org/10.2195/lj_Proc_borst_de_201811_01