关键词: 不确定需求, 不确定回收质量, 模糊机会约束规划, 政府补贴, 双回收渠道, 绿色度, 粒子群优化算法, 遗传算法

Abstract:  Under the environment of uncertain market demand and recycling quality, a total cost model of a green closed-loop supply chain system with dual recycling channels considering government subsidies was constructed In order to solve the model, the fuzzy chance constrained programming method was used to solve the problem of uncertain demand and recovery quality, and the particle swarm algorithm and genetic algorithm were used to compare and solve the model The results show that: (1) the cost of the company varies under different combinations of demand and recycling quality; (2) the comparison of the two recycling channel subsidies finds that the manufacturers subsidy is dominant; (3) under the government subsidy, the appropriate level of the companys procurement of green raw materials is 03 to 06; (4) in order to effectively improve the recovery rate, the appropriate quality level for the government to implement secondary subsidy for recycled products is 037 to 043

Key words: uncertain demand, uncertain recycling quality, fuzzy chance constrained programming, government subsidy, dual recycling channel, green degree, particle swarm optimization, genetic algorithm