Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach
Digital twin (DT) is a technology that promises great benefits for the manufacturing industry. Nevertheless, DT implementation presents many challenges. This article looks to understand and study the problems associated with the implementation of DT models in a manufacturing domain. It applies syste...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/10/2/22 |
| _version_ | 1797409201328226304 |
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| author | Jonatan H. Loaiza Robert J. Cloutier |
| author_facet | Jonatan H. Loaiza Robert J. Cloutier |
| author_sort | Jonatan H. Loaiza |
| collection | DOAJ |
| description | Digital twin (DT) is a technology that promises great benefits for the manufacturing industry. Nevertheless, DT implementation presents many challenges. This article looks to understand and study the problems associated with the implementation of DT models in a manufacturing domain. It applies systems thinking techniques to analyze and refine these problems. Systems thinking presents several methods and tools that help in studying a problem space and a solution space. The conceptagon framework describes the DT model as a system with several attributes and analyzes it in detail. A systemigram shows the relationship of manufacturing systems and the DT model. It maps the processes and components for DT implementation. The TRIZ method analyzes, and forecasts problems related to DT development and provides solutions based on patterns of invention. The CATWOE analysis allows identification of stakeholders and the study of the DT model from their perspectives. It provides a root definition of the DT model to refine a problem and the problem’s contradiction. The 9 windows tool helps to delimit the DT implementation problem, based on time and space. It gives eight more perspectives to solve the DT problem. Finally, the ideal final result (IFR) method provides the ideal DT model concept for manufacturing systems. |
| first_indexed | 2024-03-09T04:10:56Z |
| format | Article |
| id | doaj.art-b5131b4c90f543a7bf5ae32257ef28c7 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-03-09T04:10:56Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-b5131b4c90f543a7bf5ae32257ef28c72023-12-03T14:00:48ZengMDPI AGSystems2079-89542022-02-011022210.3390/systems10020022Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking ApproachJonatan H. Loaiza0Robert J. Cloutier1Department of Systems Engineering, University of South Alabama, Mobile, AL 36688, USADepartment of Systems Engineering, University of South Alabama, Mobile, AL 36688, USADigital twin (DT) is a technology that promises great benefits for the manufacturing industry. Nevertheless, DT implementation presents many challenges. This article looks to understand and study the problems associated with the implementation of DT models in a manufacturing domain. It applies systems thinking techniques to analyze and refine these problems. Systems thinking presents several methods and tools that help in studying a problem space and a solution space. The conceptagon framework describes the DT model as a system with several attributes and analyzes it in detail. A systemigram shows the relationship of manufacturing systems and the DT model. It maps the processes and components for DT implementation. The TRIZ method analyzes, and forecasts problems related to DT development and provides solutions based on patterns of invention. The CATWOE analysis allows identification of stakeholders and the study of the DT model from their perspectives. It provides a root definition of the DT model to refine a problem and the problem’s contradiction. The 9 windows tool helps to delimit the DT implementation problem, based on time and space. It gives eight more perspectives to solve the DT problem. Finally, the ideal final result (IFR) method provides the ideal DT model concept for manufacturing systems.https://www.mdpi.com/2079-8954/10/2/22digital twinsystems thinkingconceptagonsystemigramTRIZ method9 windows |
| spellingShingle | Jonatan H. Loaiza Robert J. Cloutier Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach Systems digital twin systems thinking conceptagon systemigram TRIZ method 9 windows |
| title | Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach |
| title_full | Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach |
| title_fullStr | Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach |
| title_full_unstemmed | Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach |
| title_short | Analyzing the Implementation of a Digital Twin Manufacturing System: Using a Systems Thinking Approach |
| title_sort | analyzing the implementation of a digital twin manufacturing system using a systems thinking approach |
| topic | digital twin systems thinking conceptagon systemigram TRIZ method 9 windows |
| url | https://www.mdpi.com/2079-8954/10/2/22 |
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