The Future of PLM: Industry 4.0 Technologies and the Connected Product Lifecycle Management

The convergence of Industry 4.0 technologies and Product Lifecycle Management (PLM) is revolutionizing how organizations manage product innovation, development, and maintenance. The transformation from traditional PLM systems to intelligent, connected platforms has enabled data-driven decision-making and agile manufacturing processes. Through the integration of IoT, digital twins, artificial intelligence, and machine learning, organizations have achieved significant improvements in operational efficiency, product quality, and customer satisfaction. The evolution extends across the entire value chain, from product development to manufacturing operations, while addressing implementation challenges through technical and organizational solutions. As manufacturing complexity grows, PLM systems continue to adapt, incorporating emerging technologies like blockchain and extended reality, while emphasizing sustainability and digital transformation initiatives.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-05-03
DOI
https://doi.org/10.32996/jcsts.2025.7.3.29
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
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article

The Future of PLM: Industry 4.0 Technologies and the Connected Product Lifecycle Management

Rukmini Kumar Sreeperambuduru
1 citations
Journal of Computer Science and Technology Studies
Digital Transformation in Industry
1.24
article

The Future of PLM: Industry 4.0 Technologies and the Connected Product Lifecycle Management

Rukmini Kumar Sreeperambuduru
article en
1 citations

Abstract

The convergence of Industry 4.0 technologies and Product Lifecycle Management (PLM) is revolutionizing how organizations manage product innovation, development, and maintenance. The transformation from traditional PLM systems to intelligent, connected platforms has enabled data-driven decision-making and agile manufacturing processes. Through the integration of IoT, digital twins, artificial intelligence, and machine learning, organizations have achieved significant improvements in operational efficiency, product quality, and customer satisfaction. The evolution extends across the entire value chain, from product development to manufacturing operations, while addressing implementation challenges through technical and organizational solutions. As manufacturing complexity grows, PLM systems continue to adapt, incorporating emerging technologies like blockchain and extended reality, while emphasizing sustainability and digital transformation initiatives.

Journal of Computer Science and Technology StudiesVol. 7(3)
Openalex Percentile: Top 20%
Digital Transformation in Industry
1.24
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