欢迎来到天天文库
浏览记录
ID:32081264
大小:2.15 MB
页数:62页
时间:2019-01-31
《一点多线模式下的集装箱甩挂运输调度优化》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、英文摘要ABSTRACTComparedwiththetraditionalmodeoftransport,containerdropandpulltransporthavinglowercost,higherefficiency,fastervehicleturnover,energy‘saving,emissionreductionandotheradvantages,isanimportantmeasureforthedevelopmentofgreenlogistics.Atthesametime,dro
2、pandpulltransportusingtheprincipleofparallelwork,greatlyshortenthevehiclewaitingforcargohandlingandportwaitingtime,whichimprovetheoperationefficiencyofportlogistics.Asanadvancedmethodoftransportorganization,containertruckandtrailertransporthasbeenwidelyusedin
3、westerncountries.ButinChina,duetotherestrictionsofrules,technicalstandards,hardware,methodofscheduling,containertruckandtrailertransporthasbeenusedonlyinsomeparticularprovinces.Amongalltherestrictions,lackingofeffectivemethodsofschedulearebottle·neckproblems.
4、InordertopromotethefastandstabledevelopmentofChina’Scontainerdropandpulltransportindustry,adeepresearchfromtheoreticallevelbecomesahotresearchtopicneededtObesolved.ThemainresearchisaboutthedropandpulltransportorganizationoptimizationandvehicleschedulingtOguid
5、epracticeandservicepractice.Thispaperstudiesschedulingproblemofcontainerdropandpulltransportundertheterminalcentralizationanddistribution.Theinnovationofthispaperliesinbuildingacontainerdropandpulltransportvehicleschedulingmodeunderonepointandmulti—linesmodei
6、nthehub.spokenetworkanddesigningasimulatedannealingalgorithmbasedonheuristicrules.Numericalexperimentsanalysisprovesthevalidityofthealgorithm.Thispaperalsoextendedonecenterproblemtomulti。centersproblem.Thispaperisorganizedinthefollowingway,firstintroducedthec
7、onceptandorganizationmodeofdropandpulltransport,followedwhichisdetailsoftheintelligentalgorithmusedinthispaper.Thenisthepartofmodelingandalgorithmdesigningaccordingtotheschedulingproblemofonecenterandmulti—centershub—spokenetwork,respectively.Finally,numerica
8、lexperimentshadbeencarriedout.Theoutcomesprovethatsimulationannealingalgorithmbasedonheuristicrulesiseffectiveinsolvingthisproblemandhascertainreferencevaluesforschedulingpersonnel.KeyWor
此文档下载收益归作者所有