Designing an Integrated Model of a Stable Supply Chain of Blood Products in the Event of an Earthquake Crisis and Uncertainty, Considering the Magnitude (Richter) of the Earthquake (Case Study: Tehran City)
Due to their unique characteristics, the area of health and its various related issues are of great importance and they have a special place in development indices, among which, the blood supply chain has been always one of the strategic parts of the health system. On the other hand, the increasing need for blood products, the lack of proper product management, and lack of appropriate training of the relevant forces, has led to the very high rate of blood loss in some centers. While each year many people requiring blood transfusions are at risk due to a lack of blood products. In this regard, the present paper presents a stable model of the supply chain of blood products in the event of an earthquake crisis and uncertainty, considering the magnitude of the earthquake. This model is aimed at minimizing the transportation cost throughout the network. Due to the high level of uncertainty in the blood supply chain in critical conditions and given the nature of uncertain parameters, a solid planning approach has been employed. Also, due to the NP-hard nature of the problem, NSGA II and MOPSO algorithms have been used. To evaluate the results of the model, a real case study in Tehran has been used and sensitivity analysis has been performed on important parameters of the model. Finally, the computational results indicate that the quality of output solutions of NSGA II algorithm is better than MOPSO algorithm It also solves in less time.
Keywords- Earthquake Richter, Blood Supply Chain, Crisis Conditions, Meta-heuristics Algorithm, Refrigeration Simulation