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September 27, 2025Journal of Economics Finance and Accounting StudiesOpen Access

Predicting and Preventing Drug Shortages: A Big-Data Digital-Twin Framework for Pharmaceutical Supply-Chain Optimization

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Authors

ASAdil ShahSKS. A. KhanMAMuhibbul Arman

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Overview

This framework optimizes pharmaceutical supply chains to reduce drug shortages by 30-44% and improve decision-making.

Key Points

  • Expected shortage days are cut by 30-44% through a big-data framework, improving supply chain efficiency.
  • AUC for early-warning risk scores approximates 0.85, allowing proactive risk management within 2-6 weeks.
  • The digital twin merges advanced analytics for comprehensive forecasting, adaptable to various supply chain scenarios.
  • The playbook translates risk indicators into actionable strategies for stakeholders across the supply chain.

Cite This Study

Shah et al. (2024) studied this question.

synapsesocial.com/papers/68d7cc6eeebfec0fc5238f5chttps://doi.org/10.32996/jefas.2024.6.6.9
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