碳税约束下的企业多周期生产决策研究

Dynamic Decision-Making on Multi-Period Under Policy of Carbon Tax

碳税政策不仅得到了越来越多的国家或地区应用,也给高碳企业在经营管理中带来了机遇和挑战.研究了碳税政策背景下企业动态批量决策的预测时阈问题.构建了碳税约束下的成本最小化模型并转化为相应的网络流问题,分析得出最优解的特性,在此基础上,构造再生集且设计出前向动态规划算法寻找预测时阈.通过计算以及算例,分析了在碳税政策约束下影响预测时阈的各个因素,并得到碳税政策并不会增加企业的预测时阈,从而不会增加企业的预测成本等重要结论.

The policy of carbon tax has been more and more used by many countries, which also brings the opportunities and challenges to the enterprise in the management at the same time. The paper analyzes the dynamic lot-size problem and forecast horizon under the policy of carbon tax. We build the models of minimal cost of carbon tax and transform the corresponding problem of network flow. We obtain some necessary conditions on the optimal solution a T-period problem, this enable us to establish a highly efficient forward algorithm to evaluate forecast horizon and the corresponding decision horizon. Finally, the paper analyses various factors affecting forecast horizon under the policy of carbon tax through calculation and numerical example. And there are some important conclusions such as the policy of carbon tax making forecast horizon and forecasting cost unchanged.