Abstarct: In this Thesis, we consider a supply chain network design problem with popup stores which can be opened for a few weeks or months before closing seasonally in a marketplace. The proposed model is multi-period and multi-stage under inventory management constraint and formulated by 0-1 mixed integer linear programing. The design tasks of the problem involve the choice of the popup stores to be opened and the distribution network design to satisfy the demand with goal of minimization of the sum of transportation costs in all stages; minimization of set up costs of popup stores; and minimization of inventory holding and backordering costs. In our model customer demand and quantity of goods distributed from popup stores in the customer zone were uncertain factors and by using a scenario-baxsed approach in which several scenarios describing widespread occurrence probability levels used outputs, modeling and become unconditional. Since we deal with uncertain data baxse, robust optimization model is also provided. The Epsilon constraint method is used to solve the bi objective model and finally the most optimal solution for any objective function is identified.