Integrate Blood Supply Chain Network Design with Considering Lateral Transshipment under Uncertainty

One of the most critical sections in a healthcare system, is blood supply chain that has owned significant portion of the costs of this system. So, any improvement in the blood supply chain performance can impressively lead to efficiency improvement and saving in the healthcare systems’ costs. In this research, a bi-objective model is presented for blood supply chain network design with aiming at decreasing main and temporary facilities opening cost, transportation costs of blood-derived products and minimizing the maximum shortage. Due to uncertainty in supply and demand, for dealing with shortage and increasing of responsiveness, lateral transshipment among hospitals is considered. Uncertain model is converted to deterministic model using Jiménez fuzzy and then the bi-objective model is transformed to a single objective model using Torabi-Hassini’s method. Computational results obtained from the model shows that in fuzzy model, because of -cut, the model is more flexible while in the certainty situation, because of certainty in parameters, model’s parameters value are not allowed to be flexible. Fuzzy model in addition to closeness to real environment, causes that managers make decisions based on uncertainty based on desirability. Also, model fuzzy has not significant impact on computational complexity and solving time.