عنوان مقاله [English]
Supply chain network design is an essential subject to achieve a competitive advantage in today’s market. In addition, recycling and recovering of products because of environmental aspects and decreasing of row material consumption is a vital subject. This paper proposes a design of closed-loop supply chain network with considering of multi-part collection centers under uncertainty to obtain minimum environmental damage as well as decreasing total costs. Because of uncertainty nature of related data in the real world, it is essential to use uncertainty approaches in the proposed network. In this regard, we suppose that demand and recovery are defined in stochastic environment. In reality, we apply a heuristic algorithm named as Sample average approximation algorithm with scenario based. By increasing the size of problems, the proposed hybrid genetic-SAA algorithm is used. Validity of the proposed model is illustrated through numerical examples. Results show that with consideration of multi-part collection centers, not only recovered products and recycling saving costs are improved but also, customers can receive higher quality products with satisfying of government because of environmental damage reduction.