Bibliometric Analysis of Digital Twin Design for Sustainable Development and Cooperation Between Industrial Enterprises
Year: 2024
Type: article
Study design: Systematic Review
Abstract: Designing digital twins of business processes as individual elements to establish cooperative links between enterprises represents a relevant and promising area of research.This approach directly contributes to sustainability goals by enhancing resource efficiency, fostering collaboration, and supporting data-driven decision-making.Bibliometric analysis enables the assessment of the current state of this field and the identification of key directions for its future development, including its alignment with sustainability policies.Notably, the study of designing digital twins of business processes remains underexplored, particularly from the perspective of cross-model design technology.This technology integrates digital twins of different business processes to facilitate real-time interaction and collaboration, optimizing industrial ecosystems for sustainable outcomes.The main objective of this article is to provide a systematic review of the literature on designing digital twins of business processes as individual elements to establish cooperative links between enterprises.The reviewed studies, sourced from Google Scholar, Scopus, and Web of Science, include publications in scientific journals and conference proceedings.Despite advancements, significant discussions and uncertainties persist regarding cross-model engineering technology, particularly concerning the integration platform for digital twins, knowledge schema, cross-model data exchange, and the collaboration framework, all of which have profound implications for sustainable industrial development.
DOI: 10.31407/ijees14.421
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funder: Russian Science Foundation
OpenAlex ID: W4405624957