考虑企业环境责任和政府差别权重补贴的闭环供应链研究

在市场需求和回收品质量水平不确定环境下,构建考虑CER(企业环境责任)和政府差别权重补贴的闭环供应链系统总利润模型。运用模糊机会约束规划法解决市场需求不确定问题,并采用粒子群优化算法(PSO)和遗传算法(GA)对比求解模型算例。结果表明,企业可以根据不同需求置信水平组合制定最优回收、生产和销售策略;系统总利润与CER投资成本成反比,与CER投资水平的关系取决于绿色技术成熟度;政府为了提高企业回收再制造的实施效果,可以设置消费者补贴权重为0.30～0.43;企业可以根据不同的政府补贴,合理安排回收再制造活动来提高总利润;相较于CER投资,总利润对政府补贴更敏感。

Closed loop supply chain considering corporate environmental responsibility and government differential weighting subsidy

Under the uncertain environment of market demand and quality level of recycled products, a total profit model for the closed-loop supply chain system was constructed considering CER (corporate environmental responsibility) and government differential weighting subsidy. The fuzzy chance constrained programming method was used to solve the problem of uncertain market demand. The particle swarm optimization algorithm (PSO) and genetic algorithm (GA) were used to solve the model example comparatively. The results show that: enterprises can formulate optimal recycling, production and sale strategies according to different confidence level combinations of market demand; the system total profit is inversely proportional to the CER investment cost parameter, and the relationship between the average total profit and CER investment level depends on green technology maturity; in order to improve the implementation effect of recycling and remanufacturing, government can set the weight of consumer subsidy between 0.30 and 0.43; enterprises can reasonably arrange recycling and remanufacturing activities according to different government subsidies to improve the total profit; the total profit is more sensitive to different government subsidies compared with the CER investment.