journal article·2023-03-09Open access

Value Creation with Digital Twins: Application-Oriented Conceptual Framework and Case Study

Linard Barth, Lukas Schweiger, Gianluca Galeno, Nikolas Schaal, Matthias Ehrat

Applied Sciences· Volume 13· Issue 6

Abstract

The internet of things, digital twins of smart connected products, and thereby enabled smart services are topics of great interest and have been gaining traction for many years. However, many questions concerning the application-oriented usage of digital twins still need to be scrutinized. Therefore, this paper examines the question of an application-oriented framework for value creation with digital twins using design science research approaches. A conceptual reference framework is presented based on earlier research and iteratively developed within workshops with three companies. The framework incorporates primary dimensions of external and internal value creation and data resources. Further, it discusses the product life cycle, the real-world counterpart, value creation in the ecosystem, and the generational aspect of the digital twins. Furthermore, applying the framework to a use case with an industrial research partner helps to show the contributions to the industrial sector. The framework provides utility to practitioners as a means of creating a common sense in interdisciplinary teams, communicating digital twin projects to internal and external stakeholders, and as a toolbox for specific challenges concerning digital twins. In addition, the framework distinguishes itself from existing approaches by including the service ecosystem and its actors while considering the principles of product life cycle management. Therefore, using the framework in other use cases will test the approach on different industries and products. Furthermore, there is a need to develop approaches for implementing and developing an existing case.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Digital Transformation in Industry · Service and Product Innovation · Big Data and Business Intelligence

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Business and Economics, Mendel University, Zemědělská 1665/1, 613 00 Brno, Czech Republic

School of Management and Law, Zurich University of Applied Sciences, Theaterstrasse 17, 8400 Winterthur, Switzerland

School of Engineering, Zurich University of Applied Sciences, Technikumstrasse 81, 8400 Winterthur, Switzerland

Department of Industrial Engineering, University of Florence, Viale Morgagni 40, 50139 Firenze, Italy

Shiptec AG, Werftestrasse 5, 6002 Luzern, Switzerland

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