Solve a New Robust Bi-Objective Model for Designing Blood Supply Chain Network by NSGA II and Imperialist Competitive Algorithm

In this supply chain, blood and products are investigated as a product from donor to patient. Specific characteristics of chain such perishability existence uncertainty in the structure have caused problems for planning regard. However, point should be considered that importance cannot compared perishable products. Life death issue is main difference between other Therefore, comprehensive model was presented study locate bank components within network determine allocation these considering donation centers, testing processing laboratories, distribution centers or banks, demand centers. Since designing locating issues at large dimensions NP-hard, suggested models small sizes were using exact method (GAMS), non-dominated genetic sorting algorithm, multi-objective imperialist competitive algorithm. The results with GAMS. This shows normal performance proposed algorithms led two average research questions. Also, by analyzing sensitivity on important parameters, managerial findings similar conditions.