DIGITAL TWINS AND ENTERPRISE ARCHITECTURE: A FRAMEWORK FOR REAL-TIME MANUFACTURING DECISION SUPPORT
Digital twin technology represents a transformative approach to manufacturing process optimization, yet its integration with enterprise architecture for real-time decision support remains a significant challenge.This article presents a comprehensive framework for implementing digital twins in smart manufacturing environments, with particular emphasis on real-time data processing and enterprise system integration.This article implements systems at major automotive and aerospace manufacturers; this article demonstrates how digital twins can effectively process massive IoT sensor streams while maintaining synchronization with physical processes.This article establishes a scalable architecture that achieves sub-second latency in predictive analytics while seamlessly integrating with existing ERP and MES systems.
Authors
- Ramesh Mahankali
Institutions
- System Science Applications (United States) (US)
- Research Applications (United States) (US)
- Applications Research (United States) (US)
- Advanced Applications (United States) (US)
Publication Details
- Journal
- INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
- Published
- 2025-01-16
- DOI
- https://doi.org/10.34218/ijcet_16_01_049
- Citations
- 5
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 6.21