A generic digital twin framework for collaborative supply chain development

Xin Lu; Wei Wang; Weidong Li; Yanguo Jing; Xiaoxia Li

doi:10.1109/ICCBD56965.2022

A generic digital twin framework for collaborative supply chain development

Xin Lu, Wei Wang, Weidong Li, Yanguo Jing, Xiaoxia Li

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Current Supply Chains (SCs) are complex and diverse along with fragile to SC disruptions. This leads urgently needs to develop an intelligent, transparent, collaborative and resilient SC system to cope with unexpected SC disruptions. Digital twin (DT) is one of the most promising solutions to develop smart SCs that has been extensively studied recent years. However, SCDT paradigm is still at an early stage. This paper presents a generic and modularized five layers DT framework to provide a flexible and collaborative solution, which can be compatible with different DT systems in various SCs. The feasibility of the proposed framework is validated through a practical implementation in a distributed eyewear industry.

Original language	English
Title of host publication	5th International Conference on Computing and Big Data
Publisher	IEEE
Pages	177-181
Number of pages	5
ISBN (Print)	9781665457170
DOIs	https://doi.org/10.1109/ICCBD56965.2022
Publication status	Published - 28 Mar 2023
Event	2022 5th International Conference on Computing and Big Data (ICCBD) - Shanghai, Shanghai, China Duration: 16 Dec 2022 → 18 Dec 2022

Academic conference

Academic conference	2022 5th International Conference on Computing and Big Data (ICCBD)
Country/Territory	China
City	Shanghai
Period	16/12/22 → 18/12/22

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10.1109/ICCBD56965.2022

Cite this

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title = "A generic digital twin framework for collaborative supply chain development",

abstract = "Current Supply Chains (SCs) are complex and diverse along with fragile to SC disruptions. This leads urgently needs to develop an intelligent, transparent, collaborative and resilient SC system to cope with unexpected SC disruptions. Digital twin (DT) is one of the most promising solutions to develop smart SCs that has been extensively studied recent years. However, SCDT paradigm is still at an early stage. This paper presents a generic and modularized five layers DT framework to provide a flexible and collaborative solution, which can be compatible with different DT systems in various SCs. The feasibility of the proposed framework is validated through a practical implementation in a distributed eyewear industry.",

author = "Xin Lu and Wei Wang and Weidong Li and Yanguo Jing and Xiaoxia Li",

year = "2023",

month = mar,

day = "28",

doi = "10.1109/ICCBD56965.2022",

language = "English",

isbn = "9781665457170",

pages = "177--181",

booktitle = "5th International Conference on Computing and Big Data",

publisher = "IEEE",

address = "United States",

note = "2022 5th International Conference on Computing and Big Data (ICCBD) ; Conference date: 16-12-2022 Through 18-12-2022",

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TY - GEN

T1 - A generic digital twin framework for collaborative supply chain development

AU - Lu, Xin

AU - Wang, Wei

AU - Li, Weidong

AU - Jing, Yanguo

AU - Li, Xiaoxia

PY - 2023/3/28

Y1 - 2023/3/28

N2 - Current Supply Chains (SCs) are complex and diverse along with fragile to SC disruptions. This leads urgently needs to develop an intelligent, transparent, collaborative and resilient SC system to cope with unexpected SC disruptions. Digital twin (DT) is one of the most promising solutions to develop smart SCs that has been extensively studied recent years. However, SCDT paradigm is still at an early stage. This paper presents a generic and modularized five layers DT framework to provide a flexible and collaborative solution, which can be compatible with different DT systems in various SCs. The feasibility of the proposed framework is validated through a practical implementation in a distributed eyewear industry.

AB - Current Supply Chains (SCs) are complex and diverse along with fragile to SC disruptions. This leads urgently needs to develop an intelligent, transparent, collaborative and resilient SC system to cope with unexpected SC disruptions. Digital twin (DT) is one of the most promising solutions to develop smart SCs that has been extensively studied recent years. However, SCDT paradigm is still at an early stage. This paper presents a generic and modularized five layers DT framework to provide a flexible and collaborative solution, which can be compatible with different DT systems in various SCs. The feasibility of the proposed framework is validated through a practical implementation in a distributed eyewear industry.

U2 - 10.1109/ICCBD56965.2022

DO - 10.1109/ICCBD56965.2022

M3 - Conference contribution

SN - 9781665457170

SP - 177

EP - 181

BT - 5th International Conference on Computing and Big Data

PB - IEEE

T2 - 2022 5th International Conference on Computing and Big Data (ICCBD)

Y2 - 16 December 2022 through 18 December 2022

ER -

A generic digital twin framework for collaborative supply chain development

Abstract

Academic conference

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