大型煤炭企业供应链多目标优化研究  

Large Scale Coal Enterprise Supply Chain Multi-Objective Optimization Study

作　　者：李丹[1] 路世昌[1] 刘士伟 LI Dan;LU Shi-chang;LIU Shi-wei(Liaoning Technical University,Huludao 125100,China)

机构地区：[1]辽宁工程技术大学工商管理学院,辽宁葫芦岛125100

出　　处：《数学的实践与认识》2019年第1期1-8,共8页Mathematics in Practice and Theory

基　　金：国家社科基金一般项目:不完全契约视角下土地确权影响农户土地规模经营的机制研究(18BJL032)

摘　　要：在构建大型煤炭企业供应链结构的基础上,分析了煤炭供应链不确定性的因素,进而建立了大型煤炭企业供应链系统的多目标优化模型,模型以利润最大化和客户满意度最大化为目标;而且设计了广义遗传算法求解非线性多目标决策模型,并证实广义遗传算法比传统的遗传算法在求解供应链问题上更具优势.最后通过实证得出结论,模型符合大型煤炭企业实际情况.In the construction of large-scale coal enterprise supply chain structure, analysis of the coal supply chain uncertain factors, for the purpose of research on large coal enterprise’s supply chain optimization problems, we establish a multi-objective optimization model for large coal enterprise’s supply chain system in this paper. The model aims to make the most profits and the maximize customer satisfaction. In this paper, designed a generalized genetic algorithm for solving nonlinear multi-objective decision-making model, and confirmed the advantages of generalized genetic algorithm than traditional genetic algorithm in solving supply chain problems. Finally, the article concluded that the model conforms to the actual situation of large coal enterprises.

关 键 词：大型煤炭企业 广义遗传算法 多目标优化 供应链模型 

分 类 号：F274[经济管理—企业管理] F426.21[经济管理—国民经济]