Digital twin-driven smart supply chain

Lu WANG , Tianhu DENG , Zuo-Jun Max SHEN , Hao HU , Yongzhi QI

Front. Eng ›› 2022, Vol. 9 ›› Issue (1) : 56 -70.

PDF (538KB)
Front. Eng ›› 2022, Vol. 9 ›› Issue (1) : 56 -70. DOI: 10.1007/s42524-021-0186-9
REVIEW ARTICLE
REVIEW ARTICLE

Digital twin-driven smart supply chain

Author information +
History +
PDF (538KB)

Abstract

Today’s supply chain is becoming complex and fragile. Hence, supply chain managers need to create and unlock the value of the smart supply chain. A smart supply chain requires connectivity, visibility, and agility, and it needs be integrated and intelligent. The digital twin (DT) concept satisfies these requirements. Therefore, we propose creating a DT-driven supply chain (DTSC) as an innovative and integrated solution for the smart supply chain. We provide background information to explain the DT concept and to demonstrate the method for building a DTSC by using the DT concept. We discuss three research opportunities in building a DTSC, including supply chain modeling, real-time supply chain optimization, and data usage in supply chain collaboration. Finally, we highlight a motivating case from JD.COM, China’s largest retailer by revenue, in applying the DTSC platform to address supply chain network reconfiguration challenges during the COVID-19 pandemic.

Graphical abstract

Keywords

digital twin / supply chain management

Cite this article

Download citation ▾
Lu WANG,Tianhu DENG,Zuo-Jun Max SHEN,Hao HU,Yongzhi QI. Digital twin-driven smart supply chain. Front. Eng, 2022, 9(1): 56-70 DOI:10.1007/s42524-021-0186-9

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

The Author(s) 2022. This article is published with open access at link.springer.com and journal.hep.com.cn

AI Summary AI Mindmap
PDF (538KB)

14204

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/