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.

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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
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article

DIGITAL TWINS AND ENTERPRISE ARCHITECTURE: A FRAMEWORK FOR REAL-TIME MANUFACTURING DECISION SUPPORT

Ramesh Mahankali
5 citations
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Digital Transformation in Industry
6.21
article

DIGITAL TWINS AND ENTERPRISE ARCHITECTURE: A FRAMEWORK FOR REAL-TIME MANUFACTURING DECISION SUPPORT

Ramesh Mahankali
article en
5 citations

Abstract

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.

INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGYVol. 16(1)
System Science Applications (United States) (US), Research Applications (United States) (US), Applications Research (United States) (US), Advanced Applications (United States) (US)
Openalex Percentile: Top 4%
Digital Transformation in Industry
6.21
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DIGITAL TWINS AND ENTERPRISE ARCHITECTURE: A FRAMEWORK FOR REAL-TIME MANUFACTURING DECISION SUPPORT — Ramesh Mahankali · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS