Volume 55, 2021Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
|Page(s)||S967 - S998|
|Published online||02 March 2021|
A location-allocation model for quality-based blood supply chain under IER uncertainty
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
* Corresponding author: firstname.lastname@example.org
Accepted: 4 April 2020
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.
Mathematics Subject Classification: 90-08
Key words: Blood supply chain / quality / freshness / preventive maintenance / Evidential Reasoning / location-allocation
© EDP Sciences, ROADEF, SMAI 2021
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