Optimizing modular and reconfigurable cyber-physical production systems by determining parameters automatically

Cyber-physical production systems' main feature is adaptability. They shall adapt quickly to new requirements such as new products or product variants. Nowadays, the bottleneck is the automation system, which requires high manual engineering efforts for every new adaption. For new requirements, an automation software is created by combining pre-defined software components. But this also means that software components need degrees of freedom in form of parameters, such as timing parameters, to be applicable to new requirements. This paper presents a solution to determine parameters automatically for the automation software of cyber-physical production systems. A scenario from discrete manufacturing illustrates the underlying concepts.