Research On Reverse Supply Chain With Collection Pricing Base On Game Theory

Processing and utilization of recycled products in China has become a very common phenomenon in recent years, the government and civil citizen are asking for sustainable development and continuous improvement, domestic and international companies and academia practice and research on manufacturing products processing and utilization of recycling constantly in-depth. In addition, as technology advances and people's living standards goes high, consumer products, personal and diversity have become increasingly demanding, resulting in shorter product life cycle, updates updating faster, eventually the amount discarded by the consumer goods is also increasing.This thesis is based on the above background, research that, the manufacturing companies in reverse supply chain should choose what kind of pricing strategy in the recycling market , the specific answer to the reverse supply chain system were re-pricing of manufacturer recycling, remanufacturing Business competition game, and then the Manufacturers Alliance and other issues. Under random recovery for reverse supply chain system with multiple re-manufacturer of horizontal recycling competition, consider a number of manufacturers to compete and then recover the situation in the reverse supply chain system. Use of non-cooperative game theory, a manufacturers'competitive recovery Nash game model has been established, the problem will be recycled into the search for competitive pricing of the Nash equilibrium problem. A particle swarm algorithm designed for non-cooperative game model of Nash equilibrium point to find out the effective solution, designed the access and adaptive function to improve the algorithm's convergence speed and efficiency. Analysis of the results obtained under the operation, recovery of the market supply, the manufacturer of the re-pricing strategy alone will affect the recovery of the recycling market price trend conclusions.Under random recovery for reverse supply chain system with multiple re-manufacturer of horizontal cooperation recovery problem, First, we explore the case that groups of remanufacturers can improve their expected joint profits by coordinating their collection pricing decisions, than transshipments after collection quantities are realized. Establishment of the joint recovery of the manufacturers and then the cooperative game model, the Shapley value allocated the Union a reasonable return. Then, design a particle swarm algorithm, to find out the transfer matrix which makes the most alliance benefit.