The Influence of Big Data Analytics on Real-Time Supply Chain Optimization
Keywords:
Big Data, Supply Chain Management, Real-Time Analytics, Predictive Modeling, IoT, OptimizationAbstract
Big Data Analytics (BDA) has reshaped the way supply chains operate by enabling real-time decision-making, predictive insights, and operational efficiency across global networks. Traditional supply chains struggled with delayed information, fragmented data, and slow response mechanisms, whereas modern data-driven frameworks enable uninterrupted data collection, rapid processing, and automated optimization. This paper analyzes the role of BDA in real-time supply chain optimization, discussing foundational literature relevant analytical architectures, challenges, and future trends. A conceptual diagram and two comparative tables are included to illustrate key frameworks and analytical capabilities.
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Copyright (c) 2024 Cristian Jefferson (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
