Year: 2025
Type: article
Abstract: A supply chain digital twin enables monitoring, analysis and optimization of supply chain operations. It is a virtual representation of the physical supply chain processes, relationships and assets. Ongoing research in the supply chain digital twins highlights its potential to enhance agility significantly (Lulla & Anand, 2023), particularly in complex manufacturing environments which have historically seen low productivity. Studies also explore the integration of digital twins with other technologies like blockchain (Liu et al., 2022) to improve security and transparency. Additionally, the implementation and applications of digital twins in inventory management (Ali et al.,2024) and optimization of perishable supply chain systems (Wu et al, 2023) are explored. This abstract synthesizes research on supply chain digital twins, emphasizing their transformative potential for improved efficiency, resilience, and decision-making. The adoption of digital twins in supply chain management is continuously evolving, owing to the need for greater visibility, predictability and optimization of complex global supply chain networks.
Author: Deepika Nathany
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409137071