Abstract：To study the impact of government subsidies on different recycling channels in the new energy vehicle remanufacturing supply chain, a multi-objective model under dual recycling channels is established, an improved robust optimization method is used to solve the problem of uncertainty in demand and recycling volume during recycling, and a convolutional neural network (Conv-GLU network) method is proposed to solve the model. By comparing the performance of online and offline recycling channels, joint recycling channels and recycling channels under government intervention, the multi-objective optimization under government intervention is optimal. Therefore, the government can reasonably intervene in recycling under the background of big data to help new energy vehicle enterprises establish a dual recycling channel remanufacturing green supply chain.
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