Integrating IoT and Cloud Computing for Digital Transformation in Product Lifecycle Management

The integration of the Internet of Things (IoT) and cloud computing has revolutionized Product Lifecycle Management (PLM) by enabling real-time data collection, predictive analytics, and seamless collaboration. Traditional PLM systems often suffer from inefficiencies such as data silos, limited accessibility, high maintenance costs, and slow decision-making processes. This research explores the impact of IoT-cloud integration on PLM by evaluating key performance metrics such as data processing speed, system downtime, maintenance costs, and scalability. Experimental results indicate a 76% improvement in processing speed, a 67% reduction in downtime, and a 40% decrease in maintenance costs, demonstrating the superiority of IoT-cloud-based PLM. The study also proposes an architectural framework that leverages IoT sensors, cloud platforms, AI analytics, and real-time dashboards to optimize product lifecycle processes. These findings highlight the potential of IoT-cloud-based PLM in enhancing operational efficiency, reducing costs, and enabling data-driven decision-making, making it a transformative approach for industries such as manufacturing, healthcare, and aerospace.