The problem of designing a four-echelon supply chain network(SCN) which consists of manufacturers, warehouses, distribution centers and customers is studied.By considering the economic uncertainty described by factors of product demand, short-term interest rate, long-term interest rate, risk-free rate of interest, expected return of the market, underwriting cost and market liquidity, a multi-product and multi-period and robust SCN design model is proposed, which takes the supply chain operation performance measured by economic value added(EVA) as objective, supply chain structure design, logistics and financial operations as constrains, and network elements including facility selection and connection path, logistics operation including production, transportation, etc, and financial factors contained by debt, factoring and accounts receivable and so on as decision variables.The numerical results show that the designed robust supply chain network based on EVA can effectively cope with the impact of economic uncertainty.Specifically, comparing with the traditional stochastic optimization, robust optimization can be applied to a supply chain network with better robustness and healthy financial position.