Digital Twin training concept based on miniature demonstration factories

Abstract

This paper presents a training concept, which aims at conveying the concept of a Digital Twin (DT) to different target groups based on two miniature learning factories. Enabled by recent advances in information technology, such as Internet of Things (IoT) and Cloud-based Manufacturing (CBM), DTs have become a promising approach to cope with the challenges of modern production systems. Unfortunately, the complexity of the concept as well as unfamiliarity with the potential benefits prevent many companies from implementing DTs. The presented approach aims at making the abstract concept of a DT tangible for industry executives and practitioners as well as university students by allowing them to experience working with DTs interactively in learning factory environments and simulated production facilities. The paper outlines the structure and components of the courses, the different target groups and learning objectives and the learning environments that they are based on. The resulting modular training concept is matched with the requirement profiles and two different learning factory facilities or equipment. The preliminary evaluation results indicate the principal suitability of the target group centered approach as well as the benefits of integrating it in simulated production facilities and equipment.