基于iwd算法的多目標(biāo)混合品種裝配線平衡問(wèn)題研究

基于iwd算法的多目標(biāo)混合品種裝配線平衡問(wèn)題研究

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時(shí)間:2018-11-10

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1、AbstractMixed-modelassemblylinebalancingproblemisakeytechnologicalproblemwhichthemanufacturingmustface.Solutiontotheproblemdirectlyaffectstheproductionefficiencyandthecostofproduct.Throughreasonableimprovement,ononehand,theequipmentutilizationofenterprisecanbemaximized,on

2、theotherhand,thewasteofresourcescanbereduced,thusrealizingleanmanufacturing.However,duetothelargevarietyofproducts,thevariableproportionofeachtype,thedifferencesoftasksandtasktime,mixed-modelassemblylinebalancingproblemismorecomplexthanthatofsingle-model.Therefore,conduct

3、ingresearchonmixed-modelassemblylinebalancingproblemisoftheoreticalsignificanceandeconomicvalue.Inthispaper,accordingtothecharacteristicsofmixed-modelassemblylinebalancingproblem,multipleevaluationfunctionthatisclosetotheactualproductionprocessisestablishedwithconsidering

4、theinfluencefactorsofproduction.Inaddition,basedonIWDalgorithm,solvingmethodtomulti-objectivemixed-modelassemblylinebalancingproblemisputforward.Themainworkdoneisasfollows:(1)IWDalgorithmisintroducedintomixed-modelassemblylinebalancingproblemareas:First,theencodingrules,l

5、ocalsoilupdaterulesandglobalupdaterulesareimproved.Then,inordertoincreasetheglobaloptimizationabilityofthealgorithm,thenodeselectionruleisredefinedbyjoiningthelargestprobabilityselectionruleandrandomsearchrule,thusforminghybridselectionmechanism.Finally,theeffectivenessof

6、theimprovedIWDalgorithmisverifiedthroughseveralstandardproblems.What'smore,comparedwithgeneticalgorithm,experimentalresultsshowthatsolvingrateandtheeffectofIWDalgorithmissuperior.(2)Mathematicalmodelofmulti-objectivemixed-modelassemblylinebalancingproblemisestablishedbyin

7、tegratingmaximaltaskrelatedness,minimumworkstationnumberandminimumworkloadbalancecoefficient,sothatthemodelisconsistentwiththeactualproductionprocess.Formulti-objectivemixed-modelassemblylinebalancingproblem,themethodofParetodominantsortingisusedtoevaluatemultipletargets.

8、ThenonthebasisofthesortingresultsIWDalgorithmwasimprovedtoincreasetheglobaloptimizationability.F

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