Qualitative and quantitative evaluation of a methodology for the Digital Twin creation of brownfield production systems

TL;DR

This paper presents a methodology for creating Digital Twins of brownfield production systems, including its implementation and evaluation of benefits, addressing the challenge of manual, error-prone model creation.

Contribution

It introduces a new methodology for automated Digital Twin creation of existing production systems and evaluates its qualitative and quantitative benefits.

Findings

Successful implementation of the methodology

Significant reduction in creation time

Improved accuracy of digital models

Abstract

The Digital Twin is a well-known concept of industry 4.0 and is the cyber part of a cyber-physical production system providing several benefits such as virtual commissioning or predictive maintenance. The existing production systems are lacking a Digital Twin which has to be created manually in a time-consuming and error-prone process. Therefore, methods to create digital models of existing production systems and their relations between them were developed. This paper presents the implementation of the methodology for the creation of multi-disciplinary relations and a quantitative and qualitative evaluation of the benefits of the methodology.