Upcoming Engineering Public Health & Healthcare
Blood Supply Chain and Logistics Optimisation for Decision Support, Sustainability, and Resilience Enhancement
Summary
Original abstract (not yet simplified)The Blood Supply Chain (BSC) faces significant challenges due to the perishable nature of blood components, with limited shelf lifeand high variability in supply and demand. These challenges are further exacerbated by disruptions such as natural disasters, human-made crises, and health emergencies. Ensuring a sustainable and resilient BSC is critical for saving lives, particularly during such crises.Despite these challenges, existing...
View original technical description
The Blood Supply Chain (BSC) faces significant challenges due to the perishable nature of blood components, with limited shelf lifeand high variability in supply and demand. These challenges are further exacerbated by disruptions such as natural disasters, human-made crises, and health emergencies. Ensuring a sustainable and resilient BSC is critical for saving lives, particularly during such crises.Despite these challenges, existing research often oversimplifies practical complexities of the BSC, while holistic, real-time, scalable, and practically grounded decision-support solutions remain scarce.This project proposes a collaborative initiative combining optimisation models and AI-based algorithms, leveraging real-time data toaddress BSC challenges across European and international partner organisations. The interdisciplinary team, comprising academicexperts, technology firms, and stakeholders from various BSC levels (e.g., Red Cross, blood banks, hospitals), will identify criticalissues and develop tailored solutions to enhance sustainability and resilience. The project aims to bridge the gap between academicinsights and real-world applications by employing optimisation techniques and AI-based algorithms to manage complexity, risk, anduncertainty in BSC operations.Stakeholders will be engaged in reciprocal knowledge transfer to define and prioritise BSC challenges and apply effectiveoptimisation and AI-based approaches, including real-time uncertainty management through online optimisation, descriptive andpredictive analytics for forecasting donations and demand, prescriptive analytics for decision support, and AI-driven scenariogeneration. A digital twin system will be developed as a proof of concept in collaboration with technology firms, demonstrating howthese approaches can enhance BSC sustainability, efficiency, and resilience in both day-to-day operations and high-pressurescenarios, such as resource shortages or disasters.
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