Digital Twin Framework for Reconfiguration Management: Concept & Evaluation
To remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10311607/ |
| _version_ | 1797545254169083904 |
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| author | Birte Caesar Kira Barton Dawn M. Tilbury Alexander Fay |
| author_facet | Birte Caesar Kira Barton Dawn M. Tilbury Alexander Fay |
| author_sort | Birte Caesar |
| collection | DOAJ |
| description | To remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point of view, this concept has been exploited for the past 20 years, revealing several different design solutions. However, industrial application is still an exception. Our analysis led to the assumption that this is due to a lack of operator support for reconfiguration management. In addition, mostly individual aspects of reconfiguration are considered instead of exploiting the entire reconfiguration space at the system and machine level. Therefore, in this paper, we present a digital twin framework for reconfiguration management considering reconfiguration as a holistic problem. We evaluate the framework by conducting a case study and challenging it by evaluating the completeness based on a systematic literature review, and analyze if it follows good practice based on 32 requirements for digital twin frameworks. |
| first_indexed | 2024-03-10T14:12:53Z |
| format | Article |
| id | doaj.art-a0ab09a81881471298a1f3befac5a098 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-10T14:12:53Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0ab09a81881471298a1f3befac5a0982023-11-21T00:01:10ZengIEEEIEEE Access2169-35362023-01-011112736412738710.1109/ACCESS.2023.333122110311607Digital Twin Framework for Reconfiguration Management: Concept & EvaluationBirte Caesar0https://orcid.org/0000-0001-7772-7337Kira Barton1https://orcid.org/0000-0003-1047-8078Dawn M. Tilbury2https://orcid.org/0000-0002-2510-0556Alexander Fay3https://orcid.org/0000-0002-1922-654XInstitute of Automation Technology, Helmut Schmidt University, Hamburg, GermanyMechanical Engineering Department, University of Michigan, Ann Arbor, MI, USARobotics Department, University of Michigan, Ann Arbor, MI, USAInstitute of Automation Technology, Helmut Schmidt University, Hamburg, GermanyTo remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point of view, this concept has been exploited for the past 20 years, revealing several different design solutions. However, industrial application is still an exception. Our analysis led to the assumption that this is due to a lack of operator support for reconfiguration management. In addition, mostly individual aspects of reconfiguration are considered instead of exploiting the entire reconfiguration space at the system and machine level. Therefore, in this paper, we present a digital twin framework for reconfiguration management considering reconfiguration as a holistic problem. We evaluate the framework by conducting a case study and challenging it by evaluating the completeness based on a systematic literature review, and analyze if it follows good practice based on 32 requirements for digital twin frameworks.https://ieeexplore.ieee.org/document/10311607/Reconfigurable manufacturing systemsreconfiguration planningcyber-physical production systemconfiguration selectionadaptation |
| spellingShingle | Birte Caesar Kira Barton Dawn M. Tilbury Alexander Fay Digital Twin Framework for Reconfiguration Management: Concept & Evaluation IEEE Access Reconfigurable manufacturing systems reconfiguration planning cyber-physical production system configuration selection adaptation |
| title | Digital Twin Framework for Reconfiguration Management: Concept & Evaluation |
| title_full | Digital Twin Framework for Reconfiguration Management: Concept & Evaluation |
| title_fullStr | Digital Twin Framework for Reconfiguration Management: Concept & Evaluation |
| title_full_unstemmed | Digital Twin Framework for Reconfiguration Management: Concept & Evaluation |
| title_short | Digital Twin Framework for Reconfiguration Management: Concept & Evaluation |
| title_sort | digital twin framework for reconfiguration management concept x0026 evaluation |
| topic | Reconfigurable manufacturing systems reconfiguration planning cyber-physical production system configuration selection adaptation |
| url | https://ieeexplore.ieee.org/document/10311607/ |
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