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Growing Science » International Journal of Industrial Engineering Computations » A robust optimization model for blood supply chain in emergency situations

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 7 Issue 4 pp. 535-554 , 2016

A robust optimization model for blood supply chain in emergency situations Pages 535-554 Right click to download the paper Download PDF

Authors: Meysam Fereiduni, Kamran Shahanaghi

DOI: 10.5267/j.ijiec.2016.5.002

Keywords: Blood supply chain, Humanitarian logistics, Robust optimization, P-robust approach, Uncertainty programing

Abstract: In this paper, a multi-period model for blood supply chain in emergency situation is presented to optimize decisions related to locate blood facilities and distribute blood products after natural disasters. In disastrous situations, uncertainty is an inseparable part of humanitarian logistics and blood supply chain as well. This paper proposes a robust network to capture the uncertain nature of blood supply chain during and after disasters. This study considers donor points, blood facilities, processing and testing labs, and hospitals as the components of blood supply chain. In addition, this paper makes location and allocation decisions for multiple post disaster periods through real data. The study compares the performances of “p-robust optimization” approach and “robust optimization” approach and the results are discussed.

How to cite this paper
Fereiduni, M & Shahanaghi, K. (2016). A robust optimization model for blood supply chain in emergency situations.International Journal of Industrial Engineering Computations , 7(4), 535-554.

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Journal: International Journal of Industrial Engineering Computations | Year: 2016 | Volume: 7 | Issue: 4 | Views: 3714 | Reviews: 0

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