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Cognitive Network Orchestration: Predictive Resilience in Enterprise Supply Chain Systems

In: Proceedings of the International Conference on Policies, Processes and Practices for Transforming Underdeveloped Economies into Developed Economies (PPP-UD 2025)

Author

Listed:
  • Sanjoy Das

    (IBM, Senior consultant, Information Technology)

Abstract

This paper introduces a novel framework for achieving adaptive resilience within complex supply networks through advanced analytical and automated control mechanisms. It explores how leveraging real-time data streams and predictive intelligence, integrated within enterprise resource planning (ERP) environments, can transform traditional supply chain management. By focusing on the proactive identification and mitigation of systemic vulnerabilities, the proposed analytics-driven paradigm enables sophisticated response optimization against unforeseen disruptions. The integration of cutting-edge cognitive analytics and data-driven automation within core enterprise platforms facilitates a dynamic, self-optimizing supply network, enhancing both operational performance and inherent resilience, fundamentally reshaping strategic supply chain oversight. The novelty of this research lies in the integration of AI, IoT, blockchain, and digital twins within SAP-centric supply chains, offering the first unified framework for predictive and adaptive resilience in enterprise systems.

Suggested Citation

  • Sanjoy Das, 2025. "Cognitive Network Orchestration: Predictive Resilience in Enterprise Supply Chain Systems," Advances in Economics, Business and Management Research, in: Anuradha Jain & Sachin Gupta (ed.), Proceedings of the International Conference on Policies, Processes and Practices for Transforming Underdeveloped Economies into Developed Economies (P, pages 316-325, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-894-3_22
    DOI: 10.2991/978-94-6463-894-3_22
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