Abstract
Within the ramp-up phase of 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. These refer to the ramp-up process as a main objective of such a system is to minimize the planning effort during ramp-up. The KPIs are also designed to show the impact on the main idea of the Cluster of Excellence in resolving the so-called Polylemma of Production.
Highlights
A set of key performance indicators KPIs is discussed describing the impact of a cognitive interaction system on the ramp-up period of highly automated assembly systems
The basis is a cognitive interaction system which is designed within a project of the Cluster of Excellence “Integrative production technology for high-wage countries” at RWTH Aachen University with the objective to plan and control an assembly autonomously
The key performance indicator KAPV represents the necessary condition for the superiority of a production system with cognitive interaction systems in the assembly, while the key performance indicator KIPV is the sufficient condition for a real improvement 11
Summary
A set of key performance indicators KPIs is discussed describing the impact of a cognitive interaction system on the ramp-up period of highly automated assembly systems. In this context, assembly tasks are a big challenge for planning systems, especially considering uncertain constraints, as implied in this approach. The main contribution of this paper lies in the development and implementation of key performance indicators that can show the impact of cognitive interaction systems system on the ramp-up period of highly automated assembly systems using the example of the cognitive control unit developed within the Cluster of Excellence “Integrative production technology for high-wage countries” at RWTH Aachen University. The paper concludes in the last section with future research directions
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