政企双层规划下考虑碳配额的供应链网络优化

Supply Chain Network Optimization Considering Carbon Allowances under Government-Enterprise Two-level Planning

构建了政企互动决策下考虑碳配额的双层规划模型,随后采用多目标粒子群优化算法求解模型,最后解析碳配额和需求不确定置信水平变化对供应链网络Pareto最优解集的影响。研究表明政企互动决策过程中存在最优碳配额,且随着政府部门根据双寡头制造商的反馈合理调整碳配额,上层规划模型中政府部门考虑双寡头制造商反馈的调整系数增大,双寡头制造商能够引导其它供应链企业减少间接碳排放,导致供应链网络总成本和碳排放持续减少。随着市场需求不确定置信水平升高,需求预测的精度降低,各设施间流量增加,需要增设备选设施,供应链网络总成本和碳排放也随之增加。

In this paper,we established a two-level programming model considering the carbon allowances under governmententerprise interactive decision-making,then used the multi-objective particle swarm optimization algorithm to solve it,and finally,analyzed how the changes in carbon allowances and demand uncertain confidence levels influenced the optimal Pareto solution set of the supply chain network.The result shows that there are optimal carbon allowances in the decision-making process of the government-enterprise interaction,and as the government adjusts the carbon allowances reasonably based on the feedback from the duopolistic manufacturers,the adjustment coefficient of the government considering the feedback from the duopolistic manufacturers in the upper-level planning model will increase and the duopolistic manufacturers can guide the other supply chain companies to reduce indirect carbon emissions,resulting in a continuous reduction in the total cost and carbon emissions of the supply chain network.As the uncertainty level of market demand increases,the accuracy of demand forecasts decreases and the flow between facilities increases,necessitating additional equipment and facilities,thus increasing the total cost and carbon emissions of the supply chain network.