Abstract: To acquire reasonable waste household appliance returned logistics network, a waste returning satisfaction function for consumers was constructed based on prospect theory and geometric average synthesis method, and a joint location-pricing decision model for this kind of returned logistics network was developed. With the help of the model, the following items could be determined, such as optimal sites for collection station and return center, purchase price for each collection station and favorite collection station for each consumer. To solve the model, a hybrid genetic algorithm embedded greedy algorithm and exact algorithm of linear programming was presented, and its realization steps were explained. Finally, effectiveness of the model and its algorithm were verified by an example.

Key words: returned logistics network, joint location-pricing decision model, bi-level programming, hybrid genetic algorithm, waste household appliance