Rafa Abdul1, Arth Dave2, Rahul Arulkumaran3, Om Goel4, Dr. Lalit Kumar5 & Prof.(Dr.) Arpit Jain6
1Bradley University, Peoria, Illinois, USA , rafaabduleb1@gmail.com
2Scholar, Arizona State University, Arizona, USA, drkumarpunitgoel@gmail.com
3University At Buffalo, New York, USA rahulkumaran313@gmail.com
4ABES Engineering College Ghaziabad, omgoeldec2@gmail.com
5Dept. of Computer Application IILM University Greater Noida, shrivastavaman2004@gmail.com
6KL University, Vijaywada, Andhra Pradesh, dr.jainarpit@gmail.com
Abstract
The advent of cloud-based Product Lifecycle Management (PLM) systems has transformed modern manufacturing engineering by streamlining operations and fostering innovation. Cloud-based PLM integrates various stages of a product’s lifecycle—from design, development, and production to maintenance and end-of-life management—within a unified platform accessible remotely. This approach offers real-time collaboration among globally dispersed teams, enhancing productivity and accelerating time-to-market. Additionally, the scalability of cloud platforms allows manufacturers to handle large datasets and complex workflows efficiently, reducing operational costs compared to on-premise solutions.
A significant benefit of cloud-based PLM lies in its ability to enhance flexibility and responsiveness, empowering organizations to adapt swiftly to changing market demands and regulatory requirements. Advanced analytics and AI capabilities embedded within these systems facilitate predictive maintenance, demand forecasting, and process optimization, ensuring higher product quality and reduced downtime. Furthermore, seamless integration with other enterprise systems, such as ERP and SCM, fosters end-to-end visibility across the supply chain.
However, the transition to cloud-based PLM also presents challenges, including data security risks, system interoperability issues, and dependence on third-party vendors. Despite these concerns, the adoption of cloud-based PLM continues to grow, driven by its potential to enable continuous innovation and operational excellence. As manufacturing industries increasingly embrace digital transformation, cloud-based PLM systems are emerging as critical enablers for achieving competitive advantage and sustainable growth. This paper explores the impact of cloud-based PLM on manufacturing processes, focusing on its benefits, challenges, and future implications in an evolving industrial landscape.
Keywords
Cloud-based PLM, manufacturing engineering, digital transformation, product lifecycle management, real-time collaboration, predictive maintenance, supply chain integration, operational efficiency, scalability, data security.
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