Integration of Hand Tracking and Process Mining to Improve Knowledge Transfer on the Shoopfloor

International Conference on Control, Automation and Robotics (ICCAR), pp. 16–20

Abstract

For many small and medium-sized companies in Germany, maintaining best practices on the shopfloor is essential for competitiveness. Due to the impending wave of retirements and the changing employment patterns of the younger generations, there is a risk that knowledge will be lost when employees leave. This calls for innovative solutions for the digital capture, storage and provision of knowledge. This article presents a method that uses machine learning to capture hand movements and thus generate event logs for evaluation based on process mining. Using an example from manual assembly, it is shown how this system can be used to record the actions of different employees and analyze them from an efficiency and ergonomic point of view in order to gain an insight into the individual strategies, routines and tricks of the employees during assembly and make them usable for everyone.

Authors 4

1. Yannick Dassen Aachen Laboratory for Machine Tools and Production Engineering (WZL) Department Automation and Control

   RWTH Aachen University · FH Aachen

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering,Department Automation and Control,Aachen,Germany

2. Yan Ke Zhao Aachen Laboratory for Machine Tools and Production Engineering (WZL) Department Automation and Control

   RWTH Aachen University · FH Aachen

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering,Department Automation and Control,Aachen,Germany

3. Oliver Petrović Aachen Laboratory for Machine Tools and Production Engineering (WZL) Department Automation and Control

   RWTH Aachen University · FH Aachen

   Affiliation as printed

   Laboratory for Machine Tools and Production Engineering,Department Automation and Control,Aachen,Germany

4. Werner Herfs Aachen Chair of Machine Tools Laboratory for Machine Tools and Production Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair of Machine Tools Laboratory for Machine Tools and Production Engineering,Aachen,Germany