In view of that multi-period product recovery networks could interpret the complexity of the real-life recovery networks more accurately than single-period ones, and multi-objective ones could give consideration to the benefits of each supply chain member more comprehensively than single-objective ones, a multi-period multi-objective product recovery networks model based on the third party logistics was built. In the model, customers’ preference for the nearest collection center was taken into account, and the recovery centers’ stock was used to link the waste flows of each period. An example was solved using LINGO. Then, the goal programming method was applied to discuss the relationship between two objectives, and to analyze the influence on one side when changes occurred on the other.