Whole blood or apheresis donations? A multi-objective stochastic optimization approach

摘要

Highlights?A novel methodology for the stochastic multi-objective optimization problem.?Evaluation of the optimality gap for each non-dominated solution.?Consideration of several important characteristics of the blood supply chain.?Discussion of several solution methods for the Sample Average Approximation problem.AbstractIn the blood supply chain, several alternative technologies are available for collection and processing. These technologies differ in cost and efficiency: for example, collection by apheresis requires very expensive machines but the yield of blood products is considerably greater than whole blood collection. Blood centre managers are faced with the difficult strategic problem of choosing the best combination of technologies, as well as the equally difficult operational problem of assigning donors to collection methods. These decisions are