Utilizing artificial intelligence for virtual quality gates in changeable production systems

The demand for individualized products with high quality and low costs is a challenge for manufacturers. Classic production engineering approaches can no longer meet these requirements and often require long and complex start-up cycles, while producing scrap and limiting product changeovers. This challenge becomes more acute when factoring in recycled products and materials. One solution to this is the use of Changeable Production Systems, which can be planned, controlled and monitored on the basis of data and data-based algorithms. This paper presents a strategy for constructing and utilizing virtual quality gates (VQG) in the context of Changeable Production Systems. Their logic is based on artificial intelligence and they are placed at the edge of the network to facilitate fast decision making.