A location-allocation model for quality-based blood supply chain under IER uncertainty

Providing blood with high quality at the lowest cost and shortest time is main challenge of supply chain management. This paper presents a new model for designing dynamic three level incorporating issues. The proposed intends to locate facilities, determine best strategy allocation by minimizing both maximizing customer satisfaction based on delivery. In order deal consideration real world, intricacies such as freshness, separation apheresis extraction methods, Cross match Transfusion ratio (C/T) equipment failure have been involved. Also, Interval Evidential Reasoning (IER) approach applied handle uncertainty product demand. Since NP-hard, MOPSO NSGAII algorithms are utilized solve it. Finally, demonstrate applicability problem some numerical examples designed in different sizes most favorable algorithm determined using TOPSIS method.