基于非线性双层规划的产品族低碳配置优化决策
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  • 英文篇名:Optimization Decision for Low-carbon Configuration of Product Family with Nonlinear Bi-level Programming
  • 作者:马爽 ; 杜纲
  • 英文作者:MA Shuang;DU Gang;College of Management and Economics,Tianjin University;
  • 关键词:Stackelberg博弈 ; 产品族配置 ; 碳限额 ; 非线性双层规划 ; 遗传算法
  • 英文关键词:stackelberg game;;product family configuration;;carbon cap;;nonlinear bi-level programming;;genetic algorithms
  • 中文刊名:GYGC
  • 英文刊名:Industrial Engineering and Management
  • 机构:天津大学管理与经济学部;
  • 出版日期:2016-10-10
  • 出版单位:工业工程与管理
  • 年:2016
  • 期:v.21;No.120
  • 基金:国家自然科学基金资助项目(71371132)
  • 语种:中文;
  • 页:GYGC201605008
  • 页数:7
  • CN:05
  • ISSN:31-1738/T
  • 分类号:53-59
摘要
在碳限额约束下,针对竞争市场中不同决策主体的产品族配置优化问题,剖析各决策主体间的博弈关系,提出一种基于Stackelberg博弈理论的产品族低碳配置主从关联优化理念与方法。在主从对策决策框架基础上,建立了主从关联优化的非线性0—1双层规划模型,模型的上、下层分别对应竞争市场中主导制造商与跟随制造商各自的产品族低碳配置优化问题,并构建模型求解的双层嵌套遗传算法。将该优化方法并应用于产品笔记本电脑的案例研究中,分别对考虑碳限额约束与不考虑碳限额约束情境下的优化结果进行比较。
        In the context of carbon cap constraint and towards product family configuration with different decision makers in the competitive market,game relationships between multiple decision makers were analyzed.Leader-follower joint concept and method were proposed for product family low-carbon configuration based on Stackelberg game.On the basis of leaderfollower decision framework,a nonlinear 0-1 bi-level programming was given.The upper-and lower-level were separated corresponding to the leading manufacturer and following manufacturer.A bi-level nested genetic algorithm was put forward to solve this model considering the characteristics.A case study of notebook was reported.Two different contexts with and without carbon cap constraint were compared.
引文
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