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A discrete-event simulation (DES) model designed to quantify and analyze disruptions in vaccine manufacturing supply chains, specifically targeting the CEPI 100 Days Mission for pandemic preparedness.
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The project applies established discrete-event simulation techniques to a highly specialized and high-stakes domain (vaccine supply chains). While the simulation methodology is standard in industrial engineering, the specific integration of production, quality assurance, and supply chain variables for pandemic scenarios represents a novel combination of domain-specific logic. Defensibility is low because the value lies in the data and parameters rather than the software architecture, which can be replicated in any standard DES framework.
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