The application of digital twin technology in operations and supply chain management: a bibliometric review

Rajinder Bhandal, Royston Meriton, Richard Edward Kavanagh, Anthony Brown

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Purpose – The application of digital twins to optimise operations and supply chain management functions is a bourgeoning practice. Scholars have attempted to keep pace with this development initiating a fast-evolving research agenda. The purpose of this paper is to take stock of the emerging research stream identifying trends and capture the value potential of digital twins to the field of operations and supply chain management.
Design/methodology/approach – In this work we employ a bibliometric literature review supported by bibliographic coupling and keyword cooccurrence network analysis to examine current trends in the research field regarding the value-added potential of digital twin in operations and supply chain management.
Findings – The main findings of this work are the identification of four value clusters and one enabler cluster. Value clusters are comprised of articles that describe how the application of digital twin can enhance supply chain activities at the level of business processes as well as the level of supply chain capabilities. Value clusters of production flow management and product development operate at the business processes level and are maturing communities. The supply chain resilience and risk management value cluster operates at the capability level, it is just emerging, and is positioned at the periphery of the main network.
Originality/value – This is the first study that attempts to conceptualise digital twin as a dynamic capability and employs bibliometric and network analysis on the research stream of digital twin in operations and supply chain management to capture evolutionary trends, literature communities and value-creation dynamics in a digital-twin-enabled supply chain.
Original languageEnglish
Pages (from-to)182-206
Number of pages25
JournalSupply Chain Management
Volume27
Issue number2
Early online date9 Feb 2022
DOIs
Publication statusPublished - 17 Feb 2022
Externally publishedYes

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