考虑碳排放的两级供应链最优决策模型

Two-stage Supply Chain Optimal Model Considering Carbon Emissions

随着全球化供应链环境复杂程度的提高,越来越多的企业也都在致力于解决企业面临的各种环境问题。基于传统的EOQ模型,构建由单个制造商和单个零售商组成的两级供应链。模型中分散决策由制造商决定产品的批发价格和碳排放量,由零售商决定产品的零售价格和订货批量。在算例数据中,分析了消费者低碳偏好系数和订货成本的变化对供应链分散决策和集中决策的影响,其中集中决策用粒子群算法进行求解,得出集中决策下供应链既可以拥有较高的市场需求,获得更多的利润,而且集中决策下的碳排放量更少,有利于环保。

With the improvement of complexity of global supply chain environment, more and more companies are working to solve the various environmental problems. Based on the traditional EOQ model, establishing the two-stage supply chain composed of a single manufacturer and single retailer. In decentralized decision-making, product＇s wholesale price and carbon emissions is determined by the manufacturer, and the retailer determine the retail price of the product and order quantity. In case data, this paper analyzes the changes of low carbon consumer preference coefficient and ordering cost impact on decentralized decision and centralized decision of supply chain, centralized decision-making uses particle swarm algorithm to solve the problem, and it is concluded that under the centralized decision-making supply chain can have high market demand, gain more profit, and have less carbon emissions, which is profit to environmental protection.