Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation
The cross-industry concept of Digital Twin promises numerous benefits in areas such as product customization and predictive maintenance, but many companies often struggle to determine a starting point. Digital Twin use cases are abundant, but efforts and stakeholder benefits are difficult to estimat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9830728/ |
| _version_ | 1811290135380099072 |
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| author | Sebastian Richard Newrzella David W. Franklin Sultan Haider |
| author_facet | Sebastian Richard Newrzella David W. Franklin Sultan Haider |
| author_sort | Sebastian Richard Newrzella |
| collection | DOAJ |
| description | The cross-industry concept of Digital Twin promises numerous benefits in areas such as product customization and predictive maintenance, but many companies often struggle to determine a starting point. Digital Twin use cases are abundant, but efforts and stakeholder benefits are difficult to estimate when developing and implementing Digital Twin applications. This paper proposes a management approach to Digital Twin use case prioritization suitable for planning Digital Twin applications at an early phase of development. Considering stakeholder satisfaction, infrastructure scalability, and effort for implementation and maintenance, we present a methodology to determine the most impactful Digital Twin use cases requiring low effort and high scalability. Tools and related methods from the fields of software development, innovation, process engineering, and product development are described, and the methodology is discussed with regard to these and other research works. An example from mechatronic product development at Siemens Healthineers Innovation Think Tank validates the approach. |
| first_indexed | 2024-04-13T04:07:37Z |
| format | Article |
| id | doaj.art-445bca60ba344b3c9a5cbb9fced1f864 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T04:07:37Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-445bca60ba344b3c9a5cbb9fced1f8642022-12-22T03:03:12ZengIEEEIEEE Access2169-35362022-01-0110754447545710.1109/ACCESS.2022.31914279830728Methodology for Digital Twin Use Cases: Definition, Prioritization, and ImplementationSebastian Richard Newrzella0https://orcid.org/0000-0002-4030-5111David W. Franklin1https://orcid.org/0000-0001-9530-0820Sultan Haider2https://orcid.org/0000-0001-7367-7889Department of Sport and Health Sciences, Technical University of Munich, Munich, GermanyDepartment of Sport and Health Sciences, Technical University of Munich, Munich, GermanyInnovation Think Tank, Siemens Healthcare GmbH, Erlangen, GermanyThe cross-industry concept of Digital Twin promises numerous benefits in areas such as product customization and predictive maintenance, but many companies often struggle to determine a starting point. Digital Twin use cases are abundant, but efforts and stakeholder benefits are difficult to estimate when developing and implementing Digital Twin applications. This paper proposes a management approach to Digital Twin use case prioritization suitable for planning Digital Twin applications at an early phase of development. Considering stakeholder satisfaction, infrastructure scalability, and effort for implementation and maintenance, we present a methodology to determine the most impactful Digital Twin use cases requiring low effort and high scalability. Tools and related methods from the fields of software development, innovation, process engineering, and product development are described, and the methodology is discussed with regard to these and other research works. An example from mechatronic product development at Siemens Healthineers Innovation Think Tank validates the approach.https://ieeexplore.ieee.org/document/9830728/Digital Twinapplicationsratingmethodologyproduct development |
| spellingShingle | Sebastian Richard Newrzella David W. Franklin Sultan Haider Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation IEEE Access Digital Twin applications rating methodology product development |
| title | Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation |
| title_full | Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation |
| title_fullStr | Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation |
| title_full_unstemmed | Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation |
| title_short | Methodology for Digital Twin Use Cases: Definition, Prioritization, and Implementation |
| title_sort | methodology for digital twin use cases definition prioritization and implementation |
| topic | Digital Twin applications rating methodology product development |
| url | https://ieeexplore.ieee.org/document/9830728/ |
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