一点多线模式下的集装箱甩挂运输调度优化

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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