Optimization of remanufacturing-recovery model for used vehicle parts
The establishment of an intelligent trading platform for recycling and remanufacturing of wasted vehicle parts has a great engineering practical value to the contribution of the waste vehicle market and the development of an in-dustrial chain for remanufacturing system.This paper constructs a recycling model of remanufacturing a closed-loop supply chain,which is composed of the manufacturer,remanufacturer,seller,recycling platform and incentive pol-icy.The profit function is used to reveal the relationship between pricing strategy and related variables of each en-terprise in remanufacturing supply chain.The backward induction method and multi-objective genetic algorithm are used to solve the recycling model,and the feasibility and advantages of the two algorithms are verified and com-pared by a case study of wasted vehicle gearboxes.The simulation results show that the recycling strategy based on the multi-objective genetic algorithm is better than the backward induction method,and the overall recovery rate and enterprise profit of the closed-loop supply chain are expected to be comprehensively optimized,which provides a theoretical basis of practical significance for the recycling decision of each participant in the remanufacturing in-dustry chain.
万方数据
维普
