Integrating PLM and Digital Twin Technologies: A Comprehensive Analysis of Modern Product Development

This comprehensive article explores the integration of Product Lifecycle Management (PLM) systems with Digital Twin technology and its transformative impact on modern product development processes. The article examines how this integration enhances operational efficiency, enables real-time monitoring, and facilitates predictive maintenance across various industrial sectors. It explores the technical framework required for successful implementation, including data management systems, collaborative environments, and simulation capabilities. The article also addresses industry-specific applications in manufacturing, aerospace, and healthcare sectors, highlighting how different industries leverage these technologies for improved productivity and innovation. The article discusses critical technical challenges in data interoperability and system integration, along with their solutions, and explores future developments in AI/ML integration and emerging technologies, providing insights into the evolving landscape of digital transformation in product development.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-02-10
DOI
https://doi.org/10.32628/cseit251112264
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating PLM and Digital Twin Technologies: A Comprehensive Analysis of Modern Product Development

Jyot Saini
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Digital Transformation in Industry
1.24
article

Integrating PLM and Digital Twin Technologies: A Comprehensive Analysis of Modern Product Development

Jyot Saini
article en
1 citations

Abstract

This comprehensive article explores the integration of Product Lifecycle Management (PLM) systems with Digital Twin technology and its transformative impact on modern product development processes. The article examines how this integration enhances operational efficiency, enables real-time monitoring, and facilitates predictive maintenance across various industrial sectors. It explores the technical framework required for successful implementation, including data management systems, collaborative environments, and simulation capabilities. The article also addresses industry-specific applications in manufacturing, aerospace, and healthcare sectors, highlighting how different industries leverage these technologies for improved productivity and innovation. The article discusses critical technical challenges in data interoperability and system integration, along with their solutions, and explores future developments in AI/ML integration and emerging technologies, providing insights into the evolving landscape of digital transformation in product development.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(1)
Openalex Percentile: Top 22%
Digital Transformation in Industry
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.