Stochastic Integer Programming Models in the Management of the Blood Supply Chain: A Case Study
World Journal of Operational Research
Volume 1, Issue 2, November 2017, Pages: 41-48
Received: Jul. 11, 2017; Accepted: Jul. 19, 2017; Published: Aug. 14, 2017
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Authors
Lusiana Sibuea, Department of Mathematics, University of Riau, Pekanbaru, Indonesia
Habibis Saleh, Department of Mathematics, University of Riau, Pekanbaru, Indonesia
Moh Danil Hendry Gamal, Department of Mathematics, University of Riau, Pekanbaru, Indonesia
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Abstract
This paper presents a problem in the management of the blood supply chain at the blood banks with perishability characteristics, especially for the red blood cells and platelets. Focus of this discussion is to minimize the total cost, shortage and wastage levels of the blood unit. Stochastic integer programming approach is used to solve this problem by assuming the blood group and taking into account the age of the blood. At the end of this study we give a simulation to see the result of applying the method in this issue.
Keywords
Supply Chain Management, Blood Banks, Perishable Items, Stochastic Integer Programming
To cite this article
Lusiana Sibuea, Habibis Saleh, Moh Danil Hendry Gamal, Stochastic Integer Programming Models in the Management of the Blood Supply Chain: A Case Study, World Journal of Operational Research. Vol. 1, No. 2, 2017, pp. 41-48. doi: 10.11648/j.wjor.20170102.11
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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