Disruptions may occur in supply chains because of internal or external factors. Internal factors and especially paths disruptions between supply chain elements are considered in this paper. For employing resiliency and mitigation of disruption risks in a supply chain, three policies including backup capacity at suppliers, safety stock for each path, and using several suppliers are considered. A nonlinear two stage stochastic programming model is presented with adopting resilient strategies. Various scenarios were generated by considering disruptions in different paths. Considering all scenarios during solving the model will increase the computational time. To decrease the computational time efficiently, a sampling method can be used. In this paper different methods of sampling strategies were analyzed and compared for a three echelon supply chain problem. The best method was determined based on the ability of the method to lead us to accurate estimation with less computational time. Also the results confirm necessity of resilient stochastic consideration of the problem. Adopting resilient strategies reveal increasing profit versus non-resilient supply chain when disruptions occur. The scenario reduction schemes can improve the applicability of network designs in an uncertain environment.