digital production

Derivation of MTM Analyses from Motion Capture Data

Derivation of MTM Analyses from Motion Capture Data

Evaluation of the procedure and comparison with a manual MTM analysis
Silas Pöttker ORCID Icon, Maria Neumann ORCID Icon, Martin Benter, Constantin Eckart ORCID Icon, Ulrike Wolf ORCID Icon, Peter Kuhlang, Hermann Lödding ORCID Icon
For around 15 years, German labor productivity per working hour has been increasing at significantly less than 1% per year. At the same time, more detailed productivity analyses reveal high potential in companies. The issue is that the required MTM analyses are complex and not yet employed as broadly and frequently as would be necessary. One solution is the use of digital technologies such as motion capture. These make it possible to carry out productivity analyses with little effort, as they provide data that accelerates the analysis. The MTMmotion® tool from the MTM ASSOCIATION e. V. was developed with the aim of carrying out valid and compliant MTM analyses using data provided by other technologies. This article compares the method developed for a motion capture system and MTMmotion® with a conventional MTM-1® analysis. The main result is that digital technologies can be used to create valid MTM analyses in early planning phases with little effort in order to make early ...
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 112-119 | DOI 10.30844/I4SE.25.5.108
Analyzing Work Processes with Motion Capture Systems

Analyzing Work Processes with Motion Capture Systems

Solution and implementation principles
Hermann Lödding ORCID Icon, Silas Pöttker ORCID Icon, Tim Jansen ORCID Icon
The double transformation describes the necessary change in the economy in the dimensions of ecology and digitalization. Motion capture systems offer new possibilities for recording and analyzing work processes in industrial assembly. They visualize motion sequences with high frequency, precision and resolution. The question therefore arises as to how the technology can be used in the context of digital transformation to further develop the analysis of work processes and the design of workplaces. Our article discusses this on the basis of solution principles and describes implementation principles for the development of upcoming digital assistance systems.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 43-49 | DOI 10.30844/I4SE.24.5.42
Innovations for Manufacturing in Germany 2020

Innovations for Manufacturing in Germany 2020

Hans-Jörg Bullinger, Siegfried Stender, Kai-Udo Modrich
The sector of manufacturing and other involved sectors generates more than 50 % of the German GNP. For future success of this sector a production research, leaded to permanent top performance in production technology, is necessary. Adaptive manufacturing systems are needed for the fast changing future markets. Digital manufacturing is a knowledge based production, which accelerate the technical planning processes and allows collaborative work in networked production structures. The example of an innovation-cluster “digital production” shows the impact of future manufacturing systems realized through time and cost cutting in the developing processes of products and their production.
Industrie Management | Volume 22 | 2006 | Edition 1 | Pages 39-43