Blood platelet production: a novel approach for practical optimization.

Area of Science:

• Operations Research
• Blood Management
• Inventory Optimization

Background:

• Managing blood platelet (PLT) inventory faces challenges due to uncertain demand, requiring minimization of shortages and overproduction.
• Overproduction leads to significant PLT outdating due to their limited shelf life, incurring ethical and cost issues.
• Balancing PLT supply and demand is critical for healthcare systems.

Purpose of the Study:

• To apply operations research (OR) methodology to optimize blood platelet (PLT) production and inventory management.
• To develop a mathematical model for PLT inventory control.
• To identify an optimal production policy that minimizes shortages and outdating.

Main Methods:

• Utilized stochastic dynamic programming (SDP) combined with computer simulation.
• Developed a five-step procedure to solve the PLT inventory management problem.
• Applied the methodology to a real-world dataset from a Dutch blood bank.

Main Results:

• An optimal and simple "order-up-to" production rule was identified, prescribing a fixed daily level.
• The implemented policy reduced PLT outdating from 15-20% to less than 0.1%.
• Virtually no shortages were observed, and factors like blood group preferences and extended shelf life had marginal impact.

Conclusions:

• Integrated blood management with OR principles to optimize PLT production.
• Developed practical, nearly optimal production policies suitable for implementation in blood banks.
• Demonstrated significant improvements in inventory management efficiency and waste reduction.