Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

Wynn, Martin G ORCID: 0000-0001-7619-6079 and Irizar, Jose (2023) Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National. Future Internet, 15 (9). art 282. doi:10.3390/fi15090282

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This article examines how digital twins have been used in a multi-national corporation, what technologies have been used, what benefits have been delivered, and the significance of people and process-related issues in achieving successful implementation. A qualitative, inductive research method is used, based on interviews provided by key personnel involved in three digital twin projects. The article concludes that digital twin projects are likely to involve incremental rather than disruptive change, and that successful implementation is usually underpinned by ensuring technology, people, and process change factors are progressed in a balanced and integrated fashion. Building upon existing frameworks, three “properties” are identified as being of particular value in digital twin projects—workforce adaptability, technology manageability, and process agility—and a related set of steps and actions is put forward as a template and point of reference for future digital twin implementations. The combination of assessing digital properties and following a set of key actions represents a novel approach to digital twin project planning, and overall the findings are a contribution to the developing theory around digital twins and digitalization, in general, and are also of relevance to professionals embarking on DT projects.

Item Type: Article
Article Type: Article
Additional Information: This article belongs to the Special Issue Big Data Analytics for the Industrial Internet of Things
Uncontrolled Keywords: digital twin; data analytics; digital thread; workforce adaptability; technology manageability; process agility; template; action list
Subjects: T Technology > T Technology (General)
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Martin Wynn
Date Deposited: 05 Sep 2023 12:49
Last Modified: 17 Oct 2023 14:15

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