A Demand-Driven Software Approach with Dynamic Micro-Expiry and Just-in-Time Processing to Reduce Platelet Wastage in Blood Banks
Publisher: IEEE | Conference: 2026 IEEE 6th International Conference on Computing, Power, and Communication Technologies (IC2PCT) | Document ID: IEEE Xplore #11584332
Authors: Pranav Kaushik, Sahil Tomar (Co-Author & Lead Simulation Modeler, ORCID: 0009-0005-9222-9121), Saranya Sisodia, Pawan Malik, Anuradha M. Dhumale
Abstract Summary
Platelet wastage in blood banks is a critical healthcare challenge due to short 5-day shelf life and volatile demand. Present methods attempt to resolve this via demand forecasting or Just-in-Time (JIT) processing, but residual forecast errors still cause shortage events. This paper introduces a demand-driven software system integrating JIT platelet processing with dynamic micro-expiry management, where near-expiry units are selectively extended and stored as a buffer reserve to absorb forecast misses instead of being discarded.
Empirical Results & Statistical Validation
- Wastage Reduction: Reduced simulated platelet wastage from 11.2% (traditional) down to 2.5% (~78% relative reduction).
- Fulfillment Rate: Improved demand fulfillment to 99.1% compared to 94.4% under pure JIT.
- Shortage Mitigation: Shortage events decreased by 85% relative to JIT-only approaches.
- Forecasting Accuracy: SARIMA model achieved the lowest Mean Absolute Error (MAE = 5.85) among tested time-series models.
- Statistical Significance: Validated across 30 independent simulation iterations via paired t-tests (wastage: p = 1.22 × 10⁻¹², shortage: p = 7.16 × 10⁻¹⁰).