Chapter

Intelligent Robotics and Applications

Volume 7506 of the series Lecture Notes in Computer Science pp 686-695

Measurement of the Cognitive Assembly Planning Impact

  • Christian BüscherAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering IMA, RWTH Aachen University
  • , Eckart HauckAffiliated withCarnegie Mellon UniversityInstitute for Management Cybernetics IfU e.V.
  • , Daniel SchilbergAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering IMA, RWTH Aachen University
  • , Sabina JeschkeAffiliated withCarnegie Mellon UniversityInstitute of Information Management in Mechanical Engineering IMA, RWTH Aachen University

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Abstract

Within highly automated assembly systems, the planning effort forms a large part of production costs. Due to shortening product lifecycles, changing customer demands and therefore an increasing number of ramp-up processes these costs even rise. So assembly systems should reduce these efforts and simultaneously be flexible for quick adaption to changes in products and their variants. A cognitive interaction system in the field of assembly planning systems is developed within the Cluster of Excellence “Integrative production technology for high-wage countries” at RWTH Aachen University which integrates several cognitive capabilities according to human cognition. This approach combines the advantages of automation with the flexibility of humans. In this paper the main principles of the system’s core component – the cognitive control unit – are presented to underline its advantages with respect to traditional assembly systems. Based on this, the actual innovation of this paper is the development of key performance indicators.

Keywords

Key performance indicators Cognitive Control Self-Optimization Assembly Planning