ارائه مدل برنامه‌ریزی تصادفی دومرحله‌ای برای طراحی زنجیره امداد بشردوستانه با تقاضای تصادفی

Disaster relief logistics is one of the major activities in disaster management. Considering the importance of uncertainty in this context, cause motivation to develop appropriate tools for decision making to overcome uncertain and imprecise parameters are in the relief logistic system design problem. In this paper, a new approach for modeling the multi objective planning presents for relief distribution system problem with demand and supply inaccurate, commissioning costs and transportation costs inaccurate. This model includes three objectives. The first objective is minimization of total costs (including setup costs, transportation costs, inventory costs, shortage costs and development costs. The second objective is maximizing stisfication injured parts. The third objective is minimizing the financial risk. To solving this problem has been proposed epsilon constraint. Computational results present importance and efficiency of performance proposed model plus usefulness solving approach for multi objective problem.