The Digital Shadow: Developing a Universal Model for the Automated Optimization of Cyber-Physical Production Systems Based on Real-time Data
Abstract
The optimization of production systems is a core-business for manufacturing companies. Modern approaches focus on strategic optimization via the concept of the Digital Twin. In this paper we present a model for the operational optimization of manufacturing systems via the core technology of the Digital Shadow. The model combines three main-aspects: automation, universality and the utilization of real-time data. Automation is achieved by a self-developed algorithm, universality by the application of a genetic algorithm and the integration of real-time-data through the utilization of the Digital Shadow. We validate the model by means of experimental-design.
Citation: J. M. Ehrhardt and C. T. Hoffmann, “The Digital Shadow: Developing a universal model for the automated optimization of cyber-physical production systems based on real-time data,” Procedia CIRP, vol. 93. Elsevier BV, pp. 304–310, 2020. doi: 10.1016/j.procir.2020.03.069.