A method for calculating optimum digital twin fidelity

Kober, Christian; Fette, Marc; Wulfsberg, Jens P.

doi:10.1016/j.procir.2023.09.141

A method for calculating optimum digital twin fidelity

Publication date

2024-01-12

Document type

Konferenzbeitrag

Author

Organisational unit

DOI

10.1016/j.procir.2023.09.141

URI

https://openhsu.ub.hsu-hh.de/handle/10.24405/22721

Conference

56th CIRP Conference on Manufacturing Systems (CIRP CMS ‘23) ; Cape Town, South Africa ; October 23–25, 2023

Project

Labor für die intelligente Leichtbauproduktion

Publisher

Elsevier

Series or journal

Procedia CIRP

ISSN

2212-8271

Periodical volume

120

First page

1155

Last page

1160

Peer-reviewed

✅

Part of the university bibliography

✅

Language

English

Keyword

dtec.bw

Abstract

More and more organizations recognize the need for digitalization. An essential concept in this context is the Digital Twin (DT). At its core, a DT is a virtual representation of physical reality and the associated data exchange. Despite its relevance, practice shows that the application of true DTs is relatively low. Often benefits are intangible and costs are perceived as too high. One of the critical factors affecting benefits, defined as the difference of savings potential and costs, is fidelity. The DT fidelity defines how precisely the virtual representation mirrors its physical reality. Contrary to what most definitions suggest, an optimum fidelity exists where the net benefit is maximized. However, there is a lack of methods that support in conceptualizing DTs with optimum fidelity in manufacturing organizations. Elaborating on suitable fidelity levels is a subjective process dependent on the experience of DT developers. Consequently, the Digital Twin Fidelity Calculation Model (DT-FCM) was developed in this article using Design Science Research. The DT-FCM provides a novel approach to enable the calculation of the optimum DT fidelity based on a specific objective. As a crucial part of the DT design cycle, DT-FCM integrates seamlessly with existing models. The DT-FCM provides a systematic approach that increases the probability of success with the application of DTs.

Description

This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0).

Version

Published version

Access right on openHSU

Metadata only access