需求不确定下的鲁棒供应链网络优化设计分析

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1、上海交通大学硕士学位论文HABSTRACTsolutiongenerationalgorithmisdesigned.AndthenMGANDalgorithmisdeveloped.Numericalcasesaredesigned,including:theeffectivenesstestofMGANDalgorithm;comparingthesearchefficiencyofalgorithmunderdifferentinitialpopulation;evaluatingtheperformanceofthesupplychainnetworkde

2、signedbyrobustoptimizationmodel.Thesimulationresultshowsthatthemodelandtheheuristicalgorithmisefficient,theperformancerobustsupplychainnetworkdesignedbyrobustoptimizationmodelisnice.Inthispaper,theresearchofrobustsupplychainnetworkdesignisbasedontheuncertaintyofdemand;theresultshowsth

3、atrobustsupplychainhasagoodabilitytoresistuncertainty.Thisstudyisconsideredtohaveuseforreferencetothesupplychaindesignunderuncertaintyforcompanies.KEYWORDS:supplychainrisk;demanduncertainty;supplychaindesign;robustsupplychain;scenarioanalysis;geneticalgorithmsIV上海交通大学硕士学位论文H目录目录摘要....

4、...................................................................................................................................................IABSTRACT.................................................................................................................................

5、...........III目录........................................................................................................................................................V第一章绪论...............................................................................................................

6、..............................11.1研究背景及意义.........................................................................................................................11.2国内外研究现状分析..............................................................................................................

7、...31.2.1供应链风险的研究..........................................................................................................31.2.2供应链优化设计的研究..................................................................................................61.2.3研究现状总结....................................

8、.....