The main feature of Cyber-Physical Production Systems is its adaptability. They adapt quickly to new require-ments such as new products or product variants. Nowadays, a bottleneck is the automation system, for which high manual engineering efforts are needed: Today, on-site technicians write and rewrite automation software, configure real-time commu-nication protocols and create system configurations consisting of machine timing, physical dimensions of products, sensitivity and motor control accelerations and velocities. Cyber-Physical Production Systems often solve this dilemma by relying on reusable software components which are composed in the overall automation software. However, this solution comes with a price, reusable software components need free parameters to adjust to the individual production configurations. This paper addresses this central research question and presents a novel parameter estimation approach to choose auto-matically optimal system configurations for Cyber-Physical Pro-duction Systems. Different scenarios from discrete manufacturing plants are used to evaluate the solution approach.     «

The main feature of Cyber-Physical Production Systems is its adaptability. They adapt quickly to new require-ments such as new products or product variants. Nowadays, a bottleneck is the automation system, for which high manual engineering efforts are needed: Today, on-site technicians write and rewrite automation software, configure real-time commu-nication protocols and create system configurations consisting of machine timing, physical dimensions of products, sensitivity and motor control accel...     »