需求不确定条件下低碳供应链网络设计研究

发布时间：2019-03-21 13:36

【摘要】：本文研究的主要目的是设计与优化需求不确定条件下分别考虑碳限额约束、碳税以及碳交易权的低碳供应链网络。这里的需求不确定是指以“常态需求”为基准而发生的需求情景变动。本文针对需求不确定及考虑碳排放因素这两个关键点运用运筹学、计算机编程的相关理论，采用情景分析、ε约束法、文献分析、图表分析以及定性与定量分析相结合等方法对供应链的网络设计与优化问题进行研究。首先介绍了研究背景和意义，分析了国内外的研究现状，给出了论文的研究框架及研究方法，对低碳供应链理论、供应链网络设计理论、需求不确定性及其描述和碳减排监管机制进行了阐述。其次，论文结合相关理论，分别考虑碳排放限额、碳税及碳交易权，构建了需求不确定条件下考虑碳排放限额的低碳供应链网络模型，需求不确定条件下考虑碳税的低碳供应链网络模型和需求不确定条件下考虑碳交易权的低碳供应链网络模型。模型综合考虑环境投资决策、网点选择以及路径的选择等问题，以总运作成本、生产和运输途中碳排放量最小为目标，建立不同需求情景下、需求不确定的多产品双目标混合整数规划模型，结合ε约束法设计了基于情景的求解算法。再次，应用算例分别验证了碳排放限额模型、碳税约束模型和碳交易权模型，对数值结果进行分析比较并得出相关结论。验证了模型和算法的有效性及科学性。最后，实证研究。首先给出能源消耗及环境污染大户宾州水泥有限公司的供应链网络现状分析，然后在前面理论研究的基础上应用三个模型对企业供应链网络进行搭建，得出相应结论，最后提出了针对需求不确定条件下的低碳网络设计与优化的建议及建议。
[Abstract]:The main purpose of this paper is to design and optimize low-carbon supply chain networks with carbon quota constraints, carbon taxes and carbon trading rights under uncertain demand conditions. Demand uncertainty here refers to changes in demand scenarios based on "normal demand". In view of the uncertainty of demand and the consideration of carbon emission factors, this paper uses operational research, computer programming theory, scenario analysis, 蔚-constraint method, literature analysis, The network design and optimization of supply chain are studied by graph analysis and qualitative and quantitative analysis. First of all, this paper introduces the research background and significance, analyzes the current research situation at home and abroad, and gives the research framework and research methods of the thesis, as well as the low carbon supply chain theory, supply chain network design theory, and so on. Demand uncertainty and its description and carbon emission reduction regulatory mechanism are described. Secondly, based on the relevant theories, the paper constructs a low-carbon supply chain network model considering carbon emission limits, carbon taxes and carbon trading rights under uncertain demand conditions. A low-carbon supply chain network model considering carbon tax under uncertain demand conditions and a low-carbon supply chain network model considering carbon trading rights under uncertain demand conditions are proposed. Considering the environmental investment decision-making, network selection and path selection, the model aims at the total operating cost and the minimum carbon emissions during production and transportation, and sets up different demand scenarios. A multi-product dual-objective mixed integer programming model with uncertain requirements is presented. A scenario-based algorithm is designed based on 蔚-constraint method. Thirdly, the carbon emission limit model, the carbon tax constraint model and the carbon trading right model are verified by numerical examples, and the numerical results are analyzed and compared and the relevant conclusions are drawn. The validity and scientificity of the model and algorithm are verified. Finally, empirical research. Firstly, the supply chain network of Binzhou cement Co., Ltd., which is a big consumer of energy consumption and environmental pollution, is analyzed. Then, based on the previous theoretical research, three models are applied to build the enterprise supply chain network, and the corresponding conclusions are drawn. Finally, some suggestions and suggestions for the design and optimization of low-carbon network under uncertain demand are put forward.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;F832.39;F426.721;F224

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