Digital twin-driven supply chain planning

Yuchen Wang*, Xingzhi Wang, Ang Liu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

28 Citations (Scopus)

Abstract

Supply chain planning is an essential element of global manufacturing. In the interest of reliability, efficiency, and productivity, global manufacturers call for a more digital, analytical, and responsive approach of supply chain planning. As an emerging technology, digital twin achieves deep synchronization and dynamic interaction between the physical and virtual worlds. This paper envisions new supply chain planning based on the theoretical foundations and enabling technologies of digital twin. The paper will elaborate the benefits and potentials of DT, in comparison with the existing planning approaches, in terms of demand forecast, aggregate planning and inventory planning.

Original languageEnglish
Pages (from-to)198-203
Number of pages6
JournalProcedia CIRP
Volume93
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event53rd CIRP Conference on Manufacturing Systems, CMS 2020 - Chicago, United States
Duration: 1 Jul 20203 Jul 2020

Keywords

  • Digital twin
  • Smart manufacturing
  • Supply chain

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