To investigate the role of government intervention in supply chain recovery networks,this paper proposed a multi-period and multi-objective optimization model based on incentive compatibility theory,aiming at the lowest total cost,minimal carbon emissions,and maximum big data investment returns.The method used multi-objective triangular fuzzy numbers and an improved hybrid algorithm to solve the model.The results show that the improved hybrid algorithm has strong solving capabili-ties for multi-period,multi-objective recovery networks,and government policies can compensate for the weak emission reduc-tion capabilities of the manufacturing industry.The conclusions are as follows:the use of artificial intelligence technology in recovery and remanufacturing enhances the competitiveness of manufacturing enterprises,government guidance helps enterpri-ses achieve industrial upgrading.
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