| 摘要: |
| 针对“双碳”目标下的供应链多周期碳减排问题,提出了单制造商、单零售商组成的多周期情形供应链模型,研究各周期碳减排水平和零售定价之间的协调优化问题。首先,建立单周期Stackelberg博弈模型并在此基础上构建了多周期供应链协调决策的动态规划模型,其次,利用Stackelberg博弈求解各周期产品零售价格与批发价格,之后运用动态规划求解出各周期最优碳减排水平并得出制造商与零售商的多周期最大利润;通过算例分析得出碳减排成本系数和低碳偏好程度等因素对碳减排、定价决策以及制造商、零售商利润的影响。研究发现,制造商各周期的碳减排量与周期剩余数以及低碳偏好程度呈正向关系,与减排成本系数呈负向关系;各周期批发价格、零售价格与消费者低碳偏好程度以及减排成本系数呈负向关系;各周期批发价格与零售价格随着周期推移逐渐增加。 |
| 关键词: 供应链 碳减排 动态规划 多周期决策 |
| DOI： |
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| Research on Coordinated Decision-making of Carbon Emission Reduction in Multi-cycle Supply Chain under Double Carbon Goals |
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DAI Daoming WANG Yidu
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School of Management Science and Engineering, Anhui University of Finance & Economics, Anhui Bengbu 233000, China
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| Abstract: |
| To address the problem of multi-cycle carbon emission reduction in the supply chain under double carbon goals, a multi-cycle supply chain model consisting of a single manufacturer and a single retailer was proposed to study the coordination and optimization between the carbon emission reduction level and retail pricing in each cycle. Firstly, a single-cycle Stackelberg game model was established and a dynamic planning model was constructed based on the game
model for coordinated decision-making in multi-cycle supply chains. Secondly, the Stackelberg game was used to solve the retail and wholesale prices of products in each cycle. After that, the optimal level of carbon emission reduction for each cycle was solved by dynamic programming and the maximum profit of manufacturers and retailers in multiple cycles was derived. The influence of factors such as carbon emission reduction cost coefficient and low carbon preference degree on carbon emission reduction, pricing decisions, and profit of manufacturers and retailers was obtained by example analysis. The results show that the carbon emission reduction of manufacturers in each cycle is positively correlated with the number of cycles remaining and the degree of low carbon preference and is negatively correlated with the emission reduction cost coefficient; the wholesale price and retail price in each cycle have a negative relationship with the low carbon preference degree of consumers and the emission reduction cost coefficient; the wholesale and retail prices of each cycle gradually increase as the cycle goes on. |
| Key words: supply chain carbon emission reduction dynamic programming multi-cycle decision making |
