基于模糊——随机规划的WEEE回收物流网络优化研究  

Logistics Network Optimization for WEEE Recovery Based on Fuzzy-Stochastic Programming

作　　者：伊长生[1] 关学斌[1] 

机构地区：[1]安徽工业大学管理科学与工程学院,安徽马鞍山243032

出　　处：《数学的实践与认识》2015年第21期14-25,共12页Mathematics in Practice and Theory

基　　金：教育部人文社会科学研究一般项目(10YJC630352);安徽省高校人文社科研究重大项目(SK2014ZD018)

摘　　要：针对废旧电子电气设备(WEEE)绿色回收问题,根据实际需求刻画其回收物流网络结构;在模型构建中.考虑参数为随机和模糊共存的情况,提出应用随机机会约束规划和模糊机会约束规划相结合的方法来建模;设模型参数是相互独立的,合理利用转换定理将不确定规划转变为常规数学规划,并借助LINGO软件求解最优方案.The optimization of the wasted electrical and electronic equipment （WEEE） re- covery network is one of the important and challenging problems in the field of green lo- gistics. In order to deal with the uncertainty of combining the randomness and fuzziness, this paper employs a mixed method of random chance-constrained programming and fuzzy chance-constrained programming to design the recovery network. Based on the criterion of independent parameters, the uncertain programming is transferred into deterministic mathe- matical programming by the transformation theorem. Finally, the optimal solution is obtained by the LINGO software.

关 键 词：WEEE 随机 模糊 不确定规划 LINGO 

分 类 号：O221[理学—运筹学与控制论]