Providing blood with high quality at the lowest cost and the shortest time is main challenge of blood supply chain management. This paper presents a new model for designing a dynamic and three level blood supply chain incorporating the quality issues. The proposed model intends to locate facilities, and to determine the best strategy for blood allocation by minimizing both cost and time and maximizing the customer satisfaction based on quality of blood delivery. In order to deal with consideration of real world, intricacies such as blood freshness, both separation and apheresis extraction methods, Cross match to Transfusion ratio (C/T) and equipment failure have been involved. Also, Interval Evidential Reasoning (IER) approach is applied to handle the uncertainty of blood product demand. Since the proposed model is NP-hard, MOPSO and NSGAII algorithms are utilized to solve it. Finally, to demonstrate the applicability of the problem some numerical examples are designed in different sizes and the most favorable algorithm is determined using TOPSIS method.
Keywords: Blood supply chain, quality, freshness, preventive maintenance, Evidential Reasoning, location-allocation
@article{RO_2021__55_S1_S967_0,
author = {Moslemi, Shiva and Pasandideh, Seyed Hamid Reza},
title = {A location-allocation model for quality-based blood supply chain under {IER} uncertainty},
journal = {RAIRO. Operations Research},
pages = {S967--S998},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020035},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020035/}
}
TY - JOUR AU - Moslemi, Shiva AU - Pasandideh, Seyed Hamid Reza TI - A location-allocation model for quality-based blood supply chain under IER uncertainty JO - RAIRO. Operations Research PY - 2021 SP - S967 EP - S998 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020035/ DO - 10.1051/ro/2020035 LA - en ID - RO_2021__55_S1_S967_0 ER -
%0 Journal Article %A Moslemi, Shiva %A Pasandideh, Seyed Hamid Reza %T A location-allocation model for quality-based blood supply chain under IER uncertainty %J RAIRO. Operations Research %D 2021 %P S967-S998 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020035/ %R 10.1051/ro/2020035 %G en %F RO_2021__55_S1_S967_0
Moslemi, Shiva; Pasandideh, Seyed Hamid Reza. A location-allocation model for quality-based blood supply chain under IER uncertainty. RAIRO. Operations Research, Tome 55 (2021), pp. S967-S998. doi: 10.1051/ro/2020035
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