TY - GEN
T1 - Affordable Digital Twin Design for SMEs
T2 - 2025 IEEE Smart World Congress, SWC 2025
AU - Andrade, Roberto
AU - Aviles-Sacoto, Sonia Valeria
AU - Parra, Diego
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper presents a hybrid methodology for the development of digital twins (DTs) applied to cyber-physical systems, combining the DMAIC (Define-Measure-Analyze-Improve-Control) continuous improvement framework with immersive and process-oriented simulation platforms. The proposed architecture integrates Unity 3D for 3D visualization, FlexSim for discrete-event process simulation, IoT middleware for real-time synchronization, and mixed reality interfaces for enhanced human interaction. The study addresses the specific challenges of enabling digital twin deployment in resource-constrained environments, such as SMEs, through a Minimum Viable Twin (MVT) approach. An experimental prototype simulating a segment of a supply chain validates the methodology, demonstrating representational fidelity, process responsiveness, and real-time decision support capabilities. The results highlight the potential of combining affordable, modular technologies with continuous improvement strategies to democratize access to Industry 4.0 advancements for SMEs.
AB - This paper presents a hybrid methodology for the development of digital twins (DTs) applied to cyber-physical systems, combining the DMAIC (Define-Measure-Analyze-Improve-Control) continuous improvement framework with immersive and process-oriented simulation platforms. The proposed architecture integrates Unity 3D for 3D visualization, FlexSim for discrete-event process simulation, IoT middleware for real-time synchronization, and mixed reality interfaces for enhanced human interaction. The study addresses the specific challenges of enabling digital twin deployment in resource-constrained environments, such as SMEs, through a Minimum Viable Twin (MVT) approach. An experimental prototype simulating a segment of a supply chain validates the methodology, demonstrating representational fidelity, process responsiveness, and real-time decision support capabilities. The results highlight the potential of combining affordable, modular technologies with continuous improvement strategies to democratize access to Industry 4.0 advancements for SMEs.
KW - Digital Twin
KW - DMAIC
KW - Industry 4.0
KW - Realtime
UR - https://www.scopus.com/pages/publications/105035828187
U2 - 10.1109/SWC65939.2025.00312
DO - 10.1109/SWC65939.2025.00312
M3 - Contribución a la conferencia
AN - SCOPUS:105035828187
T3 - Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications
SP - 1701
EP - 1707
BT - Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 August 2025 through 22 August 2025
ER -