A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-022-04829-7.pdf
Reference38 articles.
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2. Akan, M., Alagoz, O., Ata, B., Erenay, F. S., & Said, A. (2012). A broader view of designing the liver allocation system. Operations Research, 60, 757–770.
3. Alagoz, O., Schaefer, A.J. & Roberts, M.S., (2009). Optimizing organ allocation and acceptance. In:Handbook of optimization in medicine. (pp. 1–24), Springer.
4. Behroozi, F., Monfared, M. A. S., & Hosseini, S. M. H. (2021). Investigating the conflicts between different stakeholders’ preferences in a blood supply chain at emergencies: a trade-off between six objectives. Soft Computing, 25, 13389–13410.
5. Beliën, J., De Boeck, L., Colpaert, J., Devesse, S., & Van den Bossche, F. (2013). Optimizing the facility location design of organ transplant centers. Decision Support Systems, 54(4), 1568–1579.
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