Authors: Ajeet Rathor , Piyush Chandra, Kamlesh Rajbhar
Abstract: The evolution of manufacturing paradigms has witnessed a shift from centralized production to flexible, distributed networks enabled by cloud technologies. Cloud Manufacturing (CM) integrates cloud computing, Internet of Things (IoT), and cyber-physical systems to provide scalable, on-demand manufacturing resources. Distributed Production Networks (DPNs) complement this by enabling geographically dispersed facilities to collaborate efficiently. This paper reviews the principles, architecture, communication models, and challenges of CM and DPNs. Emphasis is given to resource virtualization, real-time scheduling, quality control, and supply chain integration. The review also highlights recent trends in AI-driven decision making, predictive maintenance, and resilience in distributed manufacturing. The paper concludes with insights into the future of smart, connected manufacturing ecosystems.
Keywords: Cloud Manufacturing, Distributed Production Networks, CyberPhysical Systems, IoT, Resource Virtualization, Smart Manufacturing, Production Scheduling
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