汽车零部件自动化立体仓库货位布局优化策略分析

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1、武汉理．[大学硕士学位论文repositioningshelfarrangementandclassifyingandstoringspareparts．Informationwascollectedandtheoptimizationgoalwasdetermined，thenamulti—objectiveoptimizationmodelwasbuiltbasedonthemodelassumptions．Eventually,geneticalgorithmwasadopttosolvethemulti—objectiveo

2、ptimizmionproblemafteranalyzingavarietyofmethodswhichcouldsolvethiskindproblems．Finally,combinedwiththeprincipleofgeneticalgorithm，thecodingschemeandgeneticoperationprocesswhichweresuitableforslottingoptimizationprobleminthispaperweredesignedindetails．Theobjectivefunct

3、ionwastransformedandnormalizedbyusingthemethodoflineartransformationandthefitnessfunctionWasdetermined．Asetofshelvesoftheenterprisewereselectedastheinstanceofslottingoptimizmion，andthemathematicalmodelforslottingoptimizmionwassolvedandsimulatedwithMatlabsoftware．Thesol

4、utionandsimulationresultsoftheinstancebasedontheMatlabverifiedthatthemulti—objectiveoptimizationmathematicalmodelwouldbeeffectivelyconvergetotheoptimalsolutionwiththedesignofthegeneticalgorithminthispaper,theoptimizationeffectcouldbeobservedclearlythroughthethree—dimen

5、sionalsimulationdiagram．Keywords：AutoParts，Multi—objectiveSlottingOptimization，GeneticAlgorithm，MatlabSimulationIII武汉理丁大学硕士学位论文目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯IAbstract⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．II第1章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．11．1研究背景和意义⋯

6、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．11．1．1研究背景⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．11．1．2研究意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．21．2国内外相关研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．21．2．1汽车零部件仓储研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．21．2．2自动化立体仓库货位优化研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．31．3论文研究内容及框架⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．5第2章汽车零部件货位优化基础理论⋯⋯⋯⋯⋯⋯⋯⋯

7、⋯⋯⋯⋯⋯⋯⋯⋯⋯72．1汽车零部件自动化立体仓库理论研究⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．72．1．1自动化立体仓库概述⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．72．1．2汽车零部件自动化立体仓库作业流程⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯一92．1．3汽车零部件自动化立体仓库总体规划布局研究⋯⋯⋯⋯⋯⋯⋯⋯⋯lO2．2货位布局优化理论研究⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯122．2．1货位存储模式⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯132．2．2货位分配原则⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯142．2．3货

8、位优化流程⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯152．3本章小结⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯16第3章某第三方汽车零部件物流企业货位优化研究⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。l73．1研究背景⋯⋯⋯⋯⋯⋯⋯⋯⋯