International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Architecting Reliable Supply Chain Planning using 5G IoT devices with Cloud Computing Infrastructure
| Author(s) | Sivasubramanian Kalaiselvan |
|---|---|
| Country | United States |
| Abstract | The proliferation of 5G-enabled Internet of Things (IoT) devices presents a paradigm shift for global supply chains, introducing unprecedented levels of demand volatility and operational complexity. Traditional, siloed planning systems are ill-equipped to manage the sheer volume and velocity of data generated by these connected ecosystems. This white paper, targeted at supply chain professionals, IT architects, and business leaders, proposes a modern architectural framework for planning the supply chain of 5G IoT devices. By leveraging a synergistic combination of 5G connectivity, real-time IoT data streams, and scalable cloud computing infrastructure, this architecture positions SAP Integrated Business Planning (IBP) as the intelligent core for decision-making. We detail a solution that transforms supply chain planning from a reactive, forecast-driven process to a proactive, data-driven operation. The paper outlines the current challenges, presents a comprehensive review of the enabling capabilities, details the proposed architecture, and explores tangible use cases and benefits. The goal is to provide a strategic blueprint for building a resilient, agile, and highly responsive supply chain that can thrive in the dynamic 5G era of 2023. |
| Keywords | Supply Chain Planning, 5G, IoT, Cloud Computing, SAP Integrated Business Planning (IBP), SAP Ariba, Digital Transformation, Demand Sensing, Real-time Visibility, Resilient Supply Chain. |
| Field | Engineering |
| Published In | Volume 14, Issue 3, July-September 2023 |
| Published On | 2023-08-10 |
| DOI | https://doi.org/10.71097/IJSAT.v14.i3.9533 |
| Short DOI | https://doi.org/hbb8hm |
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IJSAT DOI prefix is
10.71097/IJSAT
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