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

Author:

Wynn Martin1ORCID,Irizar Jose1

Affiliation:

1. The Business School, University of Gloucestershire, Cheltenham GL50 2RH, UK

Abstract

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.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference49 articles.

1. Deloitte (2023, July 23). A Whole New World? Exploring the Metaverse and What It Could Mean for You. Available online: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/technology/us-ai-institute-what-is-the-metaverse-new.pdf.

2. Efficient container virtualization-based digital twin simulation of smart industrial systems;Lin;J. Clean. Prod.,2021

3. Singh, M., Fuenmayor, E., Hinchy, E.P., Qiao, Y., Murray, N., and Devine, D. (2021). Digital Twin: Origin to Future. Appl. Syst. Innov., 4.

4. Analytics with digital-twinning: A decision support system for maintaining a resilient port;Zhou;Decis. Support. Syst.,2021

5. Karaarslan, E., Aydin, Ö., Cali, Ü., and Challenger, M. (2023). Digital Twin Driven Intelligent Systems and Emerging Metaverse, Springer.

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