Abstract
This study examines the lack of coordination between blood production and inventories in the blood supply chain networks. Prior studies neglect to optimize operational costs through blood production, inventory, and waste. We propose a mixed-integer linear programming approach addressing multiple echelons, types of blood, and blood bag shelf lifetime. The model is developed by determining the facility locations, assigning regional blood banks, and allocating the right products. Indonesia's blood supply chain is used as a case study to evaluate the applicability of the proposed model using optimization software. A sensitivity analysis is performed on production rate and patient demand to assess how these factors affect the overall cost of expired products. The results show that the proposed method's total cost and expired products are 4.69%–5.60% and 4.71%–5.75%, respectively.
Original language | English |
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Article number | 100377 |
Journal | Healthcare Analytics |
Volume | 7 |
DOIs | |
Publication status | Published - Jun 2025 |
Keywords
- Blood shelf life
- Blood supply chain
- Mixed-integer linear programming
- Multi-product
- Multiple echelons
- Operational efficiency