Supply Chain Optimization in the Digital Age: A Big Data Analytics Perspective on Resilience and Efficiency

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Nguyen Van Anh
Aw Yoke Cheng

Abstract

In the digital age, supply chain optimization has become imperative for businesses to remain competitive and adaptable in the face of dynamic market conditions. This paper explores the evolving concept of supply chain optimization in the digital age, emphasizing the pivotal significance of resilience and efficiency. Resilience, the ability to withstand disruptions and recover swiftly, is a core component in managing unforeseen adversities, which have become increasingly common in the global marketplace. Simultaneously, efficiency remains a foundational principle, facilitating cost control and enhancing customer satisfaction. The paper examines the symbiotic relationship between resilience and efficiency, illustrating how these two components can be harmoniously integrated into a comprehensive supply chain optimization strategy. We delve into the technological enablers of this transformation, including big data analytics, the Internet of Things, artificial intelligence, and blockchain, which provide essential tools for decision-making, transparency, and automation. The key to navigating the challenges and opportunities of modern supply chain management lies in understanding how organizations can leverage resilience and efficiency. By fostering a resilient and efficient supply chain, organizations can ensure agility and responsiveness to adversities and market dynamics. This paper provides valuable insights and strategies for organizations seeking to thrive in the digital age's transformative landscape.

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How to Cite
Anh, N. V., & Cheng, A. Y. (2020). Supply Chain Optimization in the Digital Age: A Big Data Analytics Perspective on Resilience and Efficiency. AI, IoT and the Fourth Industrial Revolution Review, 10(2), 11–18. Retrieved from https://scicadence.com/index.php/AI-IoT-REVIEW/article/view/15
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