AI-Powered Data Insights in Product Lifecycle Management: Driving Innovation and Efficiency
DOI:
https://doi.org/10.32628/CSEIT251112185Keywords:
Product Lifecycle Management, Artificial Intelligence Integration, Digital Manufacturing Transformation, Intelligent Decision Support Systems, Knowledge-based EngineeringAbstract
The integration of Artificial Intelligence in Product Lifecycle Management (PLM) is revolutionizing how organizations manage and optimize their product development processes. This comprehensive article examines the transformative impact of AI technologies on PLM systems, focusing on advanced analytics, process optimization, and intelligent decision support capabilities. It explores key technological implementations including machine learning applications, natural language processing, and computer vision integration, highlighting their roles in enhancing design accuracy and manufacturing efficiency. Through detailed analysis of data architecture requirements and a case study in the automotive sector, the article demonstrates how AI-powered PLM systems are driving innovation and operational excellence. It also addresses critical technical and organizational challenges while providing practical solutions for successful implementation. Looking ahead, the article identifies emerging trends in PLM evolution, including semantic technologies, advanced digital twins, and human-AI collaboration frameworks, offering insights into the future direction of intelligent product lifecycle management systems.
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