The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation
Digital twin is widely studied in the context of industry 4.0. It is expected that the application of digital twin in intelligent factory logistics can enrich connectivity, proactivity, and agility of the logistics. Architecture is one of the significant factors impacting on the selection of appropr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-09-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132231198339 |
| _version_ | 1797680701467787264 |
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| author | Fusheng Qiu Ming Chen Liang Wang Yu Ying Tang Tang |
| author_facet | Fusheng Qiu Ming Chen Liang Wang Yu Ying Tang Tang |
| author_sort | Fusheng Qiu |
| collection | DOAJ |
| description | Digital twin is widely studied in the context of industry 4.0. It is expected that the application of digital twin in intelligent factory logistics can enrich connectivity, proactivity, and agility of the logistics. Architecture is one of the significant factors impacting on the selection of appropriate enabling technologies for constructing the intelligent logistics. This paper proposes a digital twin architecture for intelligent factory logistics. It mainly includes a physical layer, two cyber layers, and an interface layer. The architecture is in compliance with the architecture of the Human-Cyber-Physical System (HCPS). Moreover, the evolution of the architecture is elaborated during the planning, implement, and operation stages when construction of the digital twin. At the initial stage, human should participate in the decision-making process frequently to determine whether the results given by digital twin need to be changed. However, the data-driven model based digital twin will continually learn the human’s changing behaviors, thus constantly updating itself. It can evolution from digital model, digital shadow to digital twin with the continuous construction process. The ultimate digital twin should be able to assess operational key performance indicators (KPIs) and handle dynamic events. |
| first_indexed | 2024-03-11T23:33:52Z |
| format | Article |
| id | doaj.art-886c5715c0d2453a804015be6cf79869 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-03-11T23:33:52Z |
| publishDate | 2023-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-886c5715c0d2453a804015be6cf798692023-09-20T06:34:29ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402023-09-011510.1177/16878132231198339The architecture evolution of intelligent factory logistics digital twin from planning, implement to operationFusheng QiuMing ChenLiang WangYu YingTang TangDigital twin is widely studied in the context of industry 4.0. It is expected that the application of digital twin in intelligent factory logistics can enrich connectivity, proactivity, and agility of the logistics. Architecture is one of the significant factors impacting on the selection of appropriate enabling technologies for constructing the intelligent logistics. This paper proposes a digital twin architecture for intelligent factory logistics. It mainly includes a physical layer, two cyber layers, and an interface layer. The architecture is in compliance with the architecture of the Human-Cyber-Physical System (HCPS). Moreover, the evolution of the architecture is elaborated during the planning, implement, and operation stages when construction of the digital twin. At the initial stage, human should participate in the decision-making process frequently to determine whether the results given by digital twin need to be changed. However, the data-driven model based digital twin will continually learn the human’s changing behaviors, thus constantly updating itself. It can evolution from digital model, digital shadow to digital twin with the continuous construction process. The ultimate digital twin should be able to assess operational key performance indicators (KPIs) and handle dynamic events.https://doi.org/10.1177/16878132231198339 |
| spellingShingle | Fusheng Qiu Ming Chen Liang Wang Yu Ying Tang Tang The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation Advances in Mechanical Engineering |
| title | The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation |
| title_full | The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation |
| title_fullStr | The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation |
| title_full_unstemmed | The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation |
| title_short | The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation |
| title_sort | architecture evolution of intelligent factory logistics digital twin from planning implement to operation |
| url | https://doi.org/10.1177/16878132231198339 |
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