A holistic methodology for development of Real-Time Digital Twins

Abstract

The Digital Twins of product and production face the challenge that once the development process is closed, they does not reflect the real status of production where events as equipment failures, poor quality or missing compound parts happens continuously. For assuring production resilience a holistic methodology, combining a top-down with a bottom-up 3D scanning approach for capturing real-time production parameters and embedding them in Digital Twins is developed. The paper presents the methodology and a motivation scenario for further validation in an innovative set-up of an automated measurement cell, where state-of-the-at technologies as autonomous AGV, mobile 3D laser scanning and automated processes are integrated.