Research on the network optimization for reuse reverse logistics under grey environment

Considering the uncertainties of the products´ demands and the damaged conditions of return products, a grey model for network optimization of the reuse reverse logistics is presented by expressing the uncertain parameters with grey numbers. The grey model is converted into the specified equivalent model with the grey whitenization method, and the deterministic model is solved by Hybrid Intelligent Algorithms combined with Genetic Algorithms and traditional optimization algorithms. Finally, the validity of the network optimization method is demonstrated by a numerical example.