چكيده به لاتين
In this research, the design and planning of a green-close-loop supply chain network in uncertainty conditions has been investigated. The network includes four parts of the manufacturer, demand markets, recycling centers and destruction centers. In this network, the demand and the amount of material returned from demand markets are in uncertainty. This uncertainty is considered randomly and Robust optimization in the model. The objectives of the model can be formulated as an economic objective function in order to minimize costs and the environmental objective function in order to minimize emissions from recycling, transportation of materials between different centers, as well as contaminants resulting from the destruction of unrecoverable materials, Defined. In this study, new methods for the recycling of reclaiming materials and the disposal of non-recyclable materials are presented and compare the advantages and disadvantages of these new methods with traditional methods. one of the items that are considered in this study is considering customer satisfaction in the model in order to respond to the demands of different centers in the same way. Finally, the model has been solved using the data obtained from Behran oil company, and according to the results obtained from the model solution, the attention to the new methods of recycling and destruction can meet economic goals and environmental goals in the model. Also, paying attention to customers ' needs can increase market credit, not lose customers. Considering the multiplicity of the model, the Epsilon constraint method has been used to solve the model. Also, using the proposed validation method and comparison between the methods used, it is determined that the Robust optimization method is more efficient than other methods.
