Abstract
Industry 4.0 and Cyber Physical Production Systems (CPPS) are often discussed and partially already sold. One important feature of CPPS is fault tolerance and as a consequence self-configuration and restart to increase Overall Equipment Effectiveness. To understand this challenge at first the state of the art of fault handling in industrial automated production systems (aPS) is discussed as a result of a case study analysis in eight companies developing aPS. In the next step, metrics to evaluate the concept of self-configuration and restart for aPS focusing on real-time capabilities, fault coverage and effort to increase fault coverage are proposed. Finally, two different lab size case studies prove the applicability of the concepts of self-configuration, restart and the proposed metrics.
Highlights
In the course of Industry 4.0, intelligent products and production units are implemented
In industrial practice in machine and plant engineering, initially the general software architecture and especially handling of faults was analyzed in order to examine how reconfiguration and recovery in case of faults is already or will be implemented in future and which challenges thereby arise and how to evaluate different strategies with metrics
Figure 1) and, exemplary, the fault handling mechanisms were assigned to these five levels in order to analyze differences and similarities regarding fault handling and its integration into the software architecture
Summary
In the course of Industry 4.0, intelligent products and production units are implemented. To elaborate the challenge to realize such concepts in real world industrial applications, the state of the art in fault handling and software architecture as a basis for adaptivity after a fault is given, derived from eight industrial case studies Despite the lack in realization in industrial aPS up to now, adaptivity concepts have been developed in academia and implemented in lab-size demonstrators for Industry 4.0, e.g. myJoghurt.
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