Osorio, Andres F., Brailsford, Sally C. and Smith, Honora K. (2018) Whole blood or apheresis donations? A multi-objective stochastic optimization approach. European Journal of Operational Research, 266 (1), 193-204. (doi:10.1016/j.ejor.2017.09.005).
Abstract
In 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 complex since so many factors have to be taken into account, including stochastic demand, blood group compatibilities, donor availability, the proportions of blood types in both donor and recipient populations, fixed and
variable costs, and process efficiencies. The use of deterministic demand forecasts is rarely adequate and a robust decision must consider uncertainty and variability in demand as well as trade-offs between several potentially conflicting objectives. This paper presents a multi objective stochastic integer linear programming model to support such decisions. The model treats demand as stochastic and seeks to optimize two objectives: the total cost and the number of donors required. To solve this problem, we apply a novel combination of Sample Average Approximation and the Augmented Epsilon-Constraint algorithm. This approach is illustrated using real data from Bogota, Colombia.
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- Faculties (pre 2018 reorg) > Faculty of Social, Human and Mathematical Sciences (pre 2018 reorg) > Mathematical Sciences (pre 2018 reorg) > Operational Research (pre 2018 reorg)
Current Faculties > Faculty of Social Sciences > School of Mathematical Sciences > Mathematical Sciences (pre 2018 reorg) > Operational Research (pre 2018 reorg)
School of Mathematical Sciences > Mathematical Sciences (pre 2018 reorg) > Operational Research (pre 2018 reorg) - Faculties (pre 2018 reorg) > Faculty of Engineering and the Environment (pre 2018 reorg) > Southampton Marine & Maritime Institute (pre 2018 reorg)
- Faculties (pre 2018 reorg) > Faculty of Business, Law and Art (pre 2018 reorg) > Southampton Business School (pre 2018 reorg)
Current Faculties > Faculty of Social Sciences > Southampton Business School > Southampton Business School (pre 2018 reorg)
Southampton Business School > Southampton Business School (pre 2018 reorg) - Faculties (pre 2018 reorg) > Faculty of Business, Law and Art (pre 2018 reorg) > Southampton Business School (pre 2018 reorg) > Decision Analytics & Risk (pre 2018 reorg)
Current Faculties > Faculty of Social Sciences > Southampton Business School > Southampton Business School (pre 2018 reorg) > Decision Analytics & Risk (pre 2018 reorg)
Southampton Business School > Southampton Business School (pre 2018 reorg) > Decision Analytics & Risk (pre 2018 reorg)
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