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ID:32610358
大小:2.52 MB
页数:73页
时间:2019-02-13
《双资源多目标柔性作业车间调度问题-研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、一————————————————————————————————————————————————————————————一——一一一AbstractJobshopschedulingproblem(JSP)asthecoreoftheEnterpriseProductionManagementmakesanimportantroleinoptimumdistributionofmanufacturingresourcesandscientificoperation.TheclassicalJSPhas
2、alwaysbeingstudiedbyresearchersandthereforeabundanttheoriesareyieldedthroughthepasthalfcenturies.BecausethereisacertaindeviationbetweentheclassicalJSPandproductionstatusofthemodemworkshop,itisnecessarytoextendtheclassicalJSEDual.resourcemulti‘objectivefl
3、exiblejobshopschedulingproblemwhichtakesdeliverysatisfaction.quality,cost,reliabilityandgreenattributesastheoptimized-Objectsandconsidersdual-resourceconstraintsofmachinesandworkersisanimportantextensionofJSEDual。resourcemulti—objectiveflexiblejobshopsch
4、edulingproblemtakesintonotonlytheflexibilityofmachineavailability,dual.resourceconstraints,butalsothedifferentexpectationsfromdifferentdepartments.Therefore,researchondual.resourcemulti。objectiveflexiblejobshopschedulingproblemissignificantbothinpractice
5、andintheory.Firstly,theoptimizationobjectsofschedulingarepresented,includingdeliverysatisfaction,quality,cost,reliabilityandgreenattributes,thenthesignificanceandmeasurementmethodofoptimizationobjectsareexpatiated.Secondly,thispaperresearchesondual·。reso
6、urcemulti—objectiveflexiblejobshopschedulingproblemintwoaspects:certaintyanduncertainty.Accordingtothecharacteristicsofdual.resourcemulti—objectiveflexiblejobshopschedulingproblemincertain,NSGA.IIispresentedtosolvethisproblem;Accordingtothefactthatuncert
7、ainvariablesareinthemodelinuncertainty,themethodofgreychanceconstrainedprogrammingisproposedtotransformthemodel,andamethodcombinggreysimulationtechnologyandNSGA—IIisproposedtosolvethismodel.Finally,becauseaParetosetisachievedinchapter4,SOitneedstoevaluat
8、etheParetosetwhichCanhelptheenterprisetoselecttheschedulingschemeappropriately.Onthebasisofsubjectiveandobjectiveweight—giving,leastsquaremethodisusedasatooltoestablishanoptimizationmodelwhichdeterminestheweightofindicator
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