putwww.299pp.com

www.299pp.com  时间:2021-03-19  阅读:()
Availableonlinewww.
jocpr.
comJournalofChemicalandPharmaceuticalResearch,2014,6(7):1916-1921ISSN:0975-7384CODEN(USA):JCPRC51916Reverselogisticsnetwork:AliteraturereviewTaoYe1*andYinZhenhua21SchoolofInformationEngineering,HangzhouDianziUniversity,Xiasha,Hangzhou,Zhejiang,China2EngineeringDivision,WujiangPolytechnicSchool,Songling,Wujiang,Jiangsu,ChinaABSTRACTThepurposeofthisarticleistoconductareviewofthereverselogisticsnetworkliteratures,especiallythosepublishedeversince2000.
Wehopetofindoutcharacteristicsintheresearchandpossibleopportunitiesforfurtherresearch.
Contentanalysisisappliedinthisarticletoreviewthepublishedliteraturesinbooksandconferenceproceedings,andarticlesobtainedfromelectronicsources.
Mostresearchfocusesonlyonasmallareaofreverselogisticsnetwork.
Manyliteraturesinreverselogisticsnetworkdesignfocusoncasestudy,especiallyonelectricalandelectronicequipmentrecycling.
Manyquantitativemodelshavebeendevelopedforreverselogisticsnetworkdesign.
Reverselogisticsnetworkmodelscanbeclassifiedasclosed-loopnetworkmodel,genericmodel,stochasticmodeland3PLsmodel.
Researchersfocusoncasestudy,quantitymodelandclosed-loopnetworkmodel.
Inparticular,closed-loopnetworkmodelhasbeenreceivingmuchmoreattentionfrom2000.
However,theresearchesonmodelsfor3PLsarerelativelylittle.
Keywords:Reverselogisticsnetwork,Casestudy,QuantitativemodelINTRODUCTIONSustainabilityhasbecomeamajorconcerninthedevelopmentofhumansociety.
Sustainabilityrequirestosolvesomecomplexissuesinvolvingsocial,technicalandlegislativefactors,suchashowtopreventtheenvironmentaldeteriorationcausedbythegenerationofwastes,howtominimizethegenerationofwastesandhowtoenhancethevaluerecoveryfromthewastes.
Reverselogisticsnetworkishelpfultomeetthisrequirementbecauseitsmaintaskistocollectandtransportusedproductsandpackagesbasedonthebalanceofcostandenvironment.
Itcantakeplacethroughtheoriginalforwardchannel,aseparatereversechannelandcombinationsoftheforwardandthereversechannel.
Ontheotherside,goodreverselogisticsnetworkisimportantforfirmstogainmoreprofit.
IntegrationandoptimizationofreverselogisticsnetworkhasbecomeaneffectivewaytokeepandimprovecompetitiveadvantageforHP,GEandIBM[1].
Thepurposeofthisarticleistoprovideareviewoftheresearchofreverselogisticsnetworkeversince2000.
Therestofthearticleisorganizedasfollows.
Inthesecondsectionresearchmethodologyisdiscussed.
Inthethirdsection,theresultofreviewispresentedandthissectionisdividedfurtherintosubsectionstohighlightvariousfactorsthatareimportanttotheresearch.
Inthelastsectionconclusionswithsomethoughtsonfurtherresearcharemade.
EXPERIMENTALSECTIONThemethodofcontentanalysisisappliedinthisliteraturereview.
Asanobservationalresearchmethod,contentanalysisisoftenusedtosystematicallyevaluatethesymboliccontentofallformsofrecordedcommunication.
Thismethodisalsohelpfultoidentifytheliteratureintermsofvariouscategoriesforcreatingresearchopportunities.
Al-MashariandZairiusedittoanalyzetheimplementationofSAPR/3forre-engineeringthesupplychainusingTaoYeandYinZhenhuaJ.
Chem.
Pharm.
Res.
,2014,6(7):1916-19211917enterpriseresourcesystems[2].
ItwasalsousedbyByrdandDavidsontoexaminetheimpactofinformationtechnologyonsupplychainandbyMarascoinareviewofliteratureonthirdpartylogistics[3].
Thereviewisbasedonthepublishedliteraturesinbooksandconferenceproceedings,andarticlesobtainedfromelectronicsourcesincludingGoogleScholar,ScienceDirect,EmeraldInsight,andIndersciencedatabases.
Keywordssuchas"reverselogisticsnetwork","reverselogistics","recycling","remanufacturing","productreturns","productrecovery","end-of-lifeproducts","closed-loopsupplychains"and"greensupplychain"wereusedtofindrelatedliteratures.
LITERATUREREVIEW3.
1OverviewAccordingtothewidelyaccepteddefinitionofreverselogisticsmadebyFleischmann"reverselogisticsnetworkistheprocessofplanning,implementingandcontrollingtheefficient,effectiveinboundflowandstorageofsecondarygoodsandrelatedinformation,oppositetothetraditionalsupplychaindirectionsforthepurposeofrecoveringvalueandproperdisposal",reverselogisticsnetworkcanberegardedastheconfigurationofnodesandthearrangementoflinesinreverselogisticssystem,reverselogisticsnetworkcoversthreemainsub-fields——distributionplanning,inventorycontrol,andproductionplanning[4-6].
Researchonreverselogisticsnetworkhasbeengrowingsincethe1970s.
Mostresearchaboutthestrategiesandmodelsonreverselogisticsnetworkcanbeseeninthepublicationsinandafterthe1980s.
However,effortstosynthesizetheresearchinanintegratedbodyofknowledgeseemcomparativelylimited.
Mostresearchfocusesonlyonasmallareaofreverselogisticsnetwork,suchasnetworkdesign,productionplanningorenvironmentalissues.
Forinstance,astudywascarriedoutfromtheperspectivesofdistributionplanning,inventorycontrolandproductionplanning[4].
Anotherstudy,asareviewofreverselogisticsnetworkliterature,focusedonthetransportationandpackaging,purchasingandenvironmentalaspects[7].
Theinteractionsbetweensustainabilityandsupplychainswasstudiedbyconsideringenvironmentalissuesregardingproductdesign,productlifeextensionandproductrecoveryatend-of-life[8].
Morestudiescanbefoundintheliteraturereviewonreverselogisticsnetworkpublishedbetween1995and2005byfocusingonmanagementoftherecovery,distributionofend-of-lifeproducts,productionplanningandinventorymanagementandsupplychainmanagementissues[9].
Designandoptimizationofreverselogisticsnetworkisamajorfocusintherecentyears.
Thisincludesthenetworkstructure,thenumberoflayers,thetypeofnecessaryfacilitiesaswellasthetechnologyneededtobeemployed.
Theresponsiblepartiesneedtodecidethenumberoffacilitiesrequired,theircapacitiesandtheirmostappropriatelocationsaswell.
Inthedesignandoptimizationofareverselogisticsnetworkseveralissuesshouldbeconsidered:actorsinreverselogisticnetwork,functionstobecarriedoutandtherelationbetweentheforwardandreverselogisticnetwork.
Someresearchershaveproposedseveraldesignprinciplesforreverselogisticnetwork[10-12].
However,theseprincipleswerelimitedincertaincircumstanceandcannotformawidelyacceptedcriterion.
Designprincipleswereputforwardforclosed-looplogisticnetworkaccordingtocharacteristicsofreverselogisticsfromtheperspectivesofeconomics,environmentandlogisticschannel[13].
Theprinciplesincludeselectioncriterionofsuppliers,productionlifecycle(PLC)analysis,productquality,andrecoverypercentage,andsoon.
Table1DifferencesbetweenreverselogisticsnetworkandforwardlogisticnetworkReverseLogisticsNetworkForwardLogisticsNetworkthroughstandardchanneldrivenbyexternalforcedefinitedestinationindefinitedestinationcleardisposalmodeuncertaindisposalmodeforrecyclesuniformpricespricesinfluencedbymanyfactorsspeedisveryimportantspeedissubordinateuniforminventoryvariousinventoriesforvariousproductsproductsexistintheeasy-to-be-managedstagesofthelifecyclerecycledproductsexistincomplicatedstagesdirectnegotiationsamongparticipantsofthesupplychaincomplexandvariantnegotiationprocessreal-timetracingforproductsbeingsaleddifficulttotracehowrecycledproductsaretreatedcanbepredicteduniformlydifficulttobepredictedtransportationisunilateraltomultilateraltransportationismultilateraltounilateralhomogenousqualityofproductsheterogenousqualityofproductsuniformpackagesofproductspackagesofproductsoftendamaged3.
2ComparisonbetweenreverselogisticsnetworkandforwardlogisticnetworkBecauseofthehighersupplyuncertaintyinquality,quantity,timeandsomeotheraspects,reverselogisticsnetworkismuchmorecomplicatedthantraditionalforwardlogisticnetwork.
Regardingsupplychainperformance,Fleischmannpointedoutthedistinctionsbetweenreverselogisticnetworkandforwardlogisticnetwork,i.
e.
recoveryproductshavetobeinspectedandclassificationinreverselogisticswithhigheruncertainty.
TheTaoYeandYinZhenhuaJ.
Chem.
Pharm.
Res.
,2014,6(7):1916-19211918distinctionsshouldbeconsideredindesigningandoptimizingreverselogisticsnetwork[14].
MoredifferencesputforwardbytheresearcherscanbeseeninTable1[15-18].
3.
3CaseStudiesforreverselogisticsnetworkManyresearchershavecarriedoutcasestudiesbecauseareverselogisticsnetworkisusuallycomplicated.
Thecaseswerechosenfromvariousindustriesorproductssuchasbatteryrecycling,paperrecycling,electronicequipment,sandrecyclingandnuclearpower.
.
Avehicleroutingapproachwaspresentedforthetransportofend-of-lifeconsumerelectronicgoodsforrecyclinginSouthKoreatominimizethedistanceoftransportationofend-of-lifegoodscollectedbylocalauthoritiesandmajormanufacturers'distributioncenterstofourregionalrecyclingcenterslocated[19].
Alinearmulti-objectiveoptimizationmodelwasusedtooptimizetheoperationsofboththenuclearpowergenerationandthecorrespondinginducedwastereverselogisticsinChina[20].
Amulti-periodMILPmodelwasestablishedforcarpetrecyclinginEnglandtoanalyzeasetofalternativescenariosidentifiedbythedecisionmakerandprovidedanear-optimalsolutionfornetworkdesign[21].
AnewMILPmodelwasputforwardtooptimizetheinfrastructuredesignandthereversenetworkflowfortherecoveryofelectricalappliancesandcomputersinTaiwan,withcomputationalresultsforthescenariosofdifferentproductreturnratesandoperationconditions[22].
ThereverselogisticsnetworkofanelectronicequipmentremanufacturingfirminAmericawasanalyzed,andamulti-productcapacitatedwarehouselocationMILPwaspresentedandsolvedtoobtainoptimalityfordifferentsupplyanddemandscenarios[23].
AnotherMILPmodelwasestablishedforthemulti-echelonproductrecoverynetworkdesignwhichfocusedontheremanufacturingofacertaintypeofcopyphotocopier[6].
InthisstudyanLPsolverwasalsousedtogettheoptimalsolutionfortheinstancesofsmallproblemsize.
MorecasestudiescanbefoundinTable2.
Table2CasestudiesforreverselogisticsnetworkCaseLiteratureBatteryrecycling[24]Wasteofelectricalandelectronicequipment[5]EOLelectronicandelectronicproducts[25]EOLvehicles[10]Originalequipmentmanufacturers[17]Electronicgoods[19]Paperrecycling[26]EOLcomputerproducts[27]Nuclearpowergeneration[20]Metal-mechaniccompany[14]Carpetrecycling[28]Automotiveindustry[29]Sandrecycling[30]Electronicwaste[31]Wasteofelectricalandelectronicequipment[18]Carpetrecycling[21]Spentbatteries[32]Computersandhomeappliances[22]Electronicequipmentremanufacturingcompany[23]Photocopiers[6]Carpetmaterials[33]Sandrecycling[24]3.
4QuantitativeModelsforreverselogisticsnetworkManyquantitativemodelshavebeenproposedforreverselogisticsnetworkdesignintherecentyears,includingmixedintegerlinearprogramming(MILP)model,mixedintegernonlinearprogramming(MINLP)model,mixedintegergoalprogramming(MIGP)modelandlinearmulti-objectiveprogramming(LMOP)model.
Amulti-objectiveandmulti-periodMILPmodelwasestablishedforreverselogisticnetworkdesignformodularizedproductswhichdeterminesthenumberofexistingforwardflowfacilitiestobeusedandthenumberofdedicatedfacilitiestobesetupforhandlingreturnflows[34].
Amixedintegergoalprogramming(MIGP)modelwasestablishedtodeterminethefacilitylocation,routeandflowofdifferentvarietiesofrecyclablewastepaperinthemulti-item,multi-echelonandmulti-facilityenvironment[26].
AsimulationmodelofareverselogisticsnetworkwasusedtocollectEOLappliances[16].
Withtemporalconsolidationissuesinamultipleplanninghorizon,Minandhiscolleaguesputforwardanonlinearmixedintegerprogrammingmodelandageneticalgorithmtosolvethereverselogisticsprobleminvolvingproductreturnsinothertwoarticles[35].
Anonlinearintegerprogramwasproposedtosolvethemulti-echelon,multicommodityclosedloopnetworkdesignprobleminvolvingproductreturnsinanotherarticleoftheauthors[36].
Alinearmulti-objectiveoptimizationmodelwaspresentedtooptimizetheoperationsofboththenuclearpowergenerationandthecorrespondinginducedwastereverselogistics[37].
TheauthorTaoYeandYinZhenhuaJ.
Chem.
Pharm.
Res.
,2014,6(7):1916-19211919incorporatedfactorssuchastheoperationaldangersinducedinboththepowergenerationandreverselogisticsprocessesinthemodelformulation.
AnMILPmodelwasputforwardtoanalyzetheimpactofproductrecoveryonlogisticsnetworkdesignandaheuristicalgorithmwasappliedtoobtainthesolutionforcaseswithlargeproblemsize[12].
MorequantitativemodelscanbefoundinTable3.
Table3QuantitativemodelsinreverselogisticsnetworkQuantitativemodelLiteratureLinearmulti-objectiveprogramming[20],[37]Mixedintegergoalprogramming[26]Mixedintegerlinearprogramming[38],[39],[25],[40],[11],[41],[42],[43],[44],[45],[30],[34],[21],[46],[4],[22],[23],[6]Mixedintegernonlinearprogramming[47],[35],[36]Amajorissueinthereversedistributionishowtointegrateforwardchannelandreversechannel[4].
Thestructureofreverselogisticsnetworkhasastronginfluenceontheperformanceofforwardlogisticsnetworkandviceversaastheysharealotofresourcessuchastransportandwarehousecapacity.
Separatelydesigningforwardlogisticsandreverselogisticsresultsinsub-optimaldesignswithrespecttocosts,servicelevelsandresponsiveness,sotheintegrationofforwardandreverselogisticsnetworkshasdrawnattentionofmanyresearchers.
Aclosed-loopsupplychain(CLSC)consistsofbothforwardsupplychainandreversesupplychain.
Correspondingly,aclosed-looplogisticnetworkconsistsofbothforwardlogisticnetworkandreverselogisticnetwork.
Bystudyingacaseofphotocopierremanufacturingandacaseofpaperrecycling,Fleischmannpointedoutthatthereispossibilityforcostsavingsifoneundertookanintegratedviewratherthanasequentialdesignoftheforwardandreversedistributionnetworks[4].
Ahybridmethodwasdevelopedtoestablishaclosed-loopsupplychainmodelforspentbatteries.
Themodelincludesatwo-stagefacilitylocationoptimizationproblemandwasappliedunderdifferentscenariosforasteelmakingprocess[32].
Alinearmultiobjectiveprogrammingmodelwasformulatedtooptimizetheoperationsofbothintegratedlogisticsandcorrespondingused-productreverselogisticsinagivengreen-supplychain,withtheconsiderationoftheusedproductreturnratioandcorrespondingsubsidiesfromgovernmental[37].
Agenericstochasticmodelwaspresentedforthedesignofnetworkscomprisingbothsupplyandreturnchannelsinaclosedloopsystem,whichissolvedbytheintegerL-shapedmethod[43].
Atwo(0,1)levelmixedintegerprogrammingmodelofanuncapacitatedfacilitylocationwasproposed,inwhichsimultaneouslyforwardandreverseflowsandtheirmutualinteractionswereconsidered[44].
Thelogisticsnetworkdesignforend-of-leasecomputerproductswasdiscussedandadeterminedprogrammingmodelforsystematicallymanagingforwardandreverseslogisticsflowswasdeveloped[27].
Anintegratedmodelforsupplychainmanagementwasproposed,wheretheoperationofthereversechainhadbeenbuiltbasedontheexistingprocessesoftheforwardchain,andthismodelhadbeenvalidatedinacompanyfromthemetal-mechanicsector[14].
Afacilitylocation-allocationmodelforredesigningclosed-loopservicenetworkofacomputermanufacturerwasdeveloped.
Themodelconsideredthepossibilityofthenetworkspanningacrossseveralcountriesandmulti-periodplanninghorizons[48].
Aclosedloopmixedintegerlinearprogrammingmodelwasdevelopedtodeterminerawmateriallevel,productionlevel,distributionandinventorylevel,disposallevel,andrecyclinglevelatdifferentfacilitieswiththeobjectiveofminimizingthetotalsupplychaincost[38].
Manyreverselogisticnetworkmodelshaveappearedincasestudies,sotheylackgeneralityindifferentsituations.
Someresearchershavetriedtoproposegeneralizedmodels.
Ageneralquantitativemodelwaspresentedforproductrecovery,inwhichrepairingandremanufacturingwereconsideredsimultaneously[42].
Anothergeneralizedmodelofreverselogisticsnetworkwasestablishedasamixedintegerformulation,wherecapacitylimits,multi-productmanagementanduncertaintyonproductdemandsandreturnswereconsidered[45].
Fleischmannandhiscolleaguesalsoputforwardsuchamodelforthedesignofreverselogisticsnetworks,andpresentedageneralizedfacilitylocationmodel(MILP)tointegratetheforwardandreversechainswithabalanceconstraintthatthetotalreturnofeachfactorycannotexceeditstotalproduction[4].
Uncertaintyisanotherimportantcharacteristicofproductrecoverybecausethequantityandthequalityofusedproductsaremoredifficulttocontrolandestimateinreverseflow.
Someresearchershaveaddressedthisissueunderstochasticenvironment.
Aperiodicreviewmodelwasestablishedforproductrecoveryinstochasticremanufacturingsystemswithmultiplereuseoptions[49].
Astochasticprogrammingapproachwaspresentedtogetherwithadeterminedlocationmodelforproductrecoverynetworkdesigntodealwithsomeuncertainties.
However,thisapproachcanonlysolveasmallnumberofscenariosoftheuncertainproblemparameters[30].
Amulti-periodandmulti-echelonforward-reverselogisticsnetworkdesignriskmodelwasdevelopedbyEl-Sayedandhiscolleagues.
Themodelwasformulatedasastochasticmixedintegerlinearprogramming(SMILP)decisionmakingform.
Butitcanonlybeusedforsingleitemandsingleproductproblems[11].
AtwostagestochasticprogrammingmodelwasputforwardbyLeeandhisTaoYeandYinZhenhuaJ.
Chem.
Pharm.
Res.
,2014,6(7):1916-19211920colleagues.
Theyintegratedthesampleaverageapproximationmethodwithaheuristicalgorithmbasedonsystemanalysis[50].
Someresearchershaveusedquantitativemodelstostudyreversenetworkconcerningthird-partylogistics(3PLs).
Thereasonisprobablythattherearemajoradvantagesassociatedwith3PLsprovidershandlingthereverselogisticsforcompanies.
First,the3PLsprovidershaveexpertise,sophisticatedlogisticnetworks,ITtechnologyandthecapabilitytooperatesystemsefficiently[51].
Second,thesameassets(investment)ofthird-partyproviderscanbeusedinvariouscontractualrelationshipsandthusprovideeconomiesofscalewhenemployed[52].
Rupnowandotherresearchersshowedthemultiplebenefitsthatcompaniesusing3PLsservicetypicallyexperience[1].
Themostfrequentlymentionedadvantagesarecostreduction,improvedexpertiseandaccesstodata,improvedoperationandcustomerservicesandtheabilitytofocusoncorecompetenciesandflexibility.
Amixedintegernonlinearprogrammingmodelwasappliedforthedesignofadynamicintegrateddistributionnetworkfor3PLs.
Inordertohandletherealisticallysizedproblem,ageneticalgorithmwaspresented[47].
Aclosedloopreverselogisticsnetworkproblemwasestablishedinwhichmanufacturerstookadvantageofa3PLsystemforthepost-saleservice[40].
Amixed-integerprogrammingmodelandageneticalgorithmwereputforwardtosolvethereverselogisticsprobleminvolvingthelocationandallocationofrepairfacilitiesfor3PLs[41].
CONCLUSIONThispapersummarizestheresearchmethodologyforreverselogisticsnetworkascasestudyandquantityanalysis,andclassifiesreverselogisticsnetworkmodelsintofourmajorcategories:closed-loop,genericmodel,stochasticmodeland3PLs.
Ourreviewshowsthatcasestudyforreverselogisticsnetworkhaskeptahighproportioninthelastdecadewhilequantitymodelandclosed-loopnetworkhavereceivedgrowingattention.
Theproducttypescoveredincasestudyarestillnotextensiveandlimitedinseveralsimilarproducts.
Itisachallengetoextendcasestudyforreverselogisticsnetworktomostproducts.
Moreover,thegeneralityofmodelforreverselogisticsnetworkisnotsatisfactoryastherearealotofdifferentsituationsineachlogisticnetwork.
Inaddition,reverselogisticsnetworkdesignfor3PLshasnotfullybeenaddressed.
AcknowledgementsThisresearchwasfinanciallysupportedbyResearchStartProjectofHangzhouDianziUniversity(KYS035609044).
REFERENCES[1]SSeuring.
DecisionSupportSystems,2013,54(4),1513-1520.
[2]KSubulan;ATasan.
InternationalJournalofAdvancedManufacturingTechnology,2013,66(1),251-269.
[3]GCSouza.
DecisionScience,2013,44(1),7-38.
[4]MFleischmann;PBeullens;JMBloemhof-Ruwaard;LNVWassenhove.
ProductionandOperationsManagement,2001,10(2),156-173.
[5]MGrunow;CGobbi.
CIRPAnnals-ManufacturingTechnology,2009,58(1),391-394.
[6]HRKrikke;AVanHarten;PCSchuur.
ORSpectrum,1999,21(3),381-409.
[7]VJayaraman;YLuo.
AcademyofManagementPerspectives,2007,21(2),56-73.
[8]JELee;KDLee,Kang-Dae.
InternationalJournalofInnovativeComputingInformationandControl,2012,8(7),4483-4495.
[9]SARubio;TChamorro;FJMiranda.
Int.
J.
ofProductionResearch,2008,46(4),1099-1120.
[10]RCruz-Rivera;JErtel.
EuropeanJournalofOperationalResearch,2009,196(3),930-939.
[11]MEl-Sayed;NAfia;AEl-Kharbotly.
Computers&IndustrialEngineering,2010,58(3),423-431.
[12]MFleischmann;HRKrikke;RDekker;SDPFlapper.
Omega,2000,28(6),653–666.
[13]KHarold;CPPappis;GTTsoulfas;J.
Bloemhof-Ruwaard.
ERIMReportSeriesResearchinManagement,2001,62(2),138-147.
[14]MVdelaFuente;LRos,L;MCardos,M.
Int.
J.
ProductionEconomics,2008,111(2),782-792.
[15]SKSrivastava.
InternationalJournalofManagementReviews,2007,9(1),53-80.
[16]SKara;FRugrungruang;HKaebernick.
Int.
J.
ProductionEconomics,2007,106(1),61-69.
[17]AMutha;SPokharel.
Computers&IndustrialEngineering,2009,56(1),334-346.
[18]GWalther;TSpengler.
Int.
J.
ofPhysicalDistributionandLogisticsManagement,2005,35(5),337-361.
[19]HKim;JYang;KLee.
TransportationResearchPartD,14(5),291-299.
[20]JBSheu.
TransportationResearchPartE,2008,44(1),19-46[21]MRealff;JAmmons;DNewton.
IEEEIEEMTransactions,2004,36(8),767-776.
[22]LHShih.
Resources,ConservationandRecycling,2001,32(1),55-72[23]VJayaraman;J.
Guige;RSrivastava.
JournaloftheOperationalResearchSociety,1999,vol.
50,pp.
497-508TaoYeandYinZhenhuaJ.
Chem.
Pharm.
Res.
,2014,6(7):1916-19211921[24]AIBarros;RDekker,R;VScholten.
EuropeanJournalofOperationalResearch,1998,110(2),199-214.
[25]AXanthopoulos;EIakovou.
WasteManagement,2009,29(5),1702-1711.
[26]PKPatia;PVratb;PKumar.
Omega,2008,36(3),405-417[27]DHLee;MDong.
TransportationResearchPartE,2008,44(3),455-474.
[28]MBiehl;EPrater;MJRealff.
Computers&OperationsResearch,2007,34(2)443-463.
[29]FSchultmann;MZumkeller;ORentz,O.
EuropeanJournalofOperationalResearch,2006,171(3),1033-1050.
[30]OListes;RDekker.
EuropeanJournalofOperationalResearch,2005,160(1),268-287.
[31]ANagurney;FToyasaki.
TransportationResearchPartE,2005,41(1),1-28.
[32]FSchultmann;BEngels;ORentz.
Interfaces,33(6),57-71.
[33]DLouwers;BJKip;EPeters;ESouren,E;SDP.
Computers&IndustrialEngineering,1999,36(4),855-869.
[34]RDKusumastuti;R.
Piplani;GLim.
ProceedingsofIEEEinternationalengineeringmanagementconference,1stEdition,IEEE,Singapore,2004;1239-1243.
[35]HMin;CSKo;HJKo.
Computers&IndustrialEngineering,2006,51(2),309-320.
[36]HMin;HJKo;BIPark.
Int.
J.
Logist.
Syst.
Manage.
,2005,1(4),382-404.
[37]JBSheu;YHChou;CCHu.
Transport.
Res.
PartE:Logist.
Transport.
Rev.
,2005,41(4),287-313.
[38]GKannan;PSasikumar;KDevika.
AppliedMathematicalModelling,2010,34(3),655-670.
[39]MIGSalema;APBarbosa-Povoa;AQNovais.
EuropeanJournalofOperationalResearch,2010,203(2),3363-3349.
[40]FDu;GWEvans.
Computers&OperationsResearch,2008,35(8),2617–34.
[41]HMin;HJKo.
Int.
J.
ProductionEconomics,2008,113(1),176-192.
[42]YZhou;SWang.
J.
ofTransportationSystemsEngineeringandInformationTechnology,2008,8(3),71-78.
[43]OListes.
Computers&OperationsResearch,2007,34(2),417-442.
[44]ZLu;NBostel.
Computers&OperationsResearch,2007,34(2),299-323.
[45]MIGSalema;APBarbosa-Povoa;AQNovais.
EuropeanJournalofOperationalResearch,2007,179(3),1063-1077.
[46]FSchultmann;BEngels;ORentz.
Interfaces,2003,33(6),57-71.
[47]HJKo;GWEvans.
Computers&OperationsResearch,2007,34(2),346–366.
[48]RDKusumastuti;RPiplani;GLim.
Int.
J.
ProductionEconomics,2008,111(2),244-260.
[49]KAInderfuth;GKok;SFlapper.
EuropeanJournalofOperationalResearch,2010,133(1),130-152.
[50]DHLee;DDong.
TransportationResearchPartE,2009,45(1),61-71.
[51]SAElliff.
TheJournalofCommerce,2004,12(2).
1-2.
[52]TSkjoett-Larsen.
Int.
J.
ofPhysicalDistribution&LogisticsManagement,2004,30(2),112-127.

vpsdime7美元/月,美国达拉斯Windows VPS,2核4G/50GB SSD/2TB流量/Hyper-V虚拟化

vpsdime怎么样?vpsdime是2013年成立的国外VPS主机商,以大内存闻名业界,主营基于OpenVZ和KVM虚拟化的Linux套餐,大内存、10Gbps大带宽、大硬盘,有美国西雅图、达拉斯、新泽西、英国、荷兰机房可选。在上个月搞了一款达拉斯Linux系统VPS促销,详情查看:vpsdime夏日促销活动,美国达拉斯vps,2G内存/2核/20gSSD/1T流量,$20/年,此次推出一款Wi...

美国VPS 美国高防VPS 香港VPS 日本VPS 首月9元 百纵科技

百纵科技湖南百纵科技有限公司是一家具有ISP ICP 电信增值许可证的正规公司,多年不断转型探索现已颇具规模,公司成立于2009年 通过多年经营积累目前已独具一格,公司主要经营香港服务器,香港站群服务器,美国高防服务器,美国站群服务器,云服务器,母机租用托管!美国CN2云服务器,美国VPS,美国高防云主机,美国独立服务器,美国站群服务器,美国母机。美国原生IP支持大批量订货 合作 适用电商 亚马逊...

RAKsmart美国洛杉矶独立服务器 E3-1230 16GB内存 限时促销月$76

RAKsmart 商家我们应该较多的熟悉的,主营独立服务器和站群服务器业务。从去年开始有陆续的新增多个机房,包含韩国、日本、中国香港等。虽然他们家也有VPS主机,但是好像不是特别的重视,价格上特价的时候也是比较便宜的1.99美元月付(年中活动有促销)。不过他们的重点还是独立服务器,毕竟在这个产业中利润率较大。正如上面的Megalayer商家的美国服务器活动,这个同学有需要独立服务器,这里我一并整理...

www.299pp.com为你推荐
硬盘工作原理硬盘跟光盘的工作原理?中老铁路地铁路是怎么造的?是钻地吗?www.hao360.cn每次打开电脑桌面都出现以下图标,打开后链接指向www.hao.360.cn。怎么彻底删除?7788k.comwww.k6320.com 大家给我看看这网站是真是假...psbc.com怎样登录wap.psbc.com百度关键词工具常见百度关键词挖掘方法分别是什么请列举?www.javmoo.comJAV编程怎么做?avtt4.comwww.5c5c.com怎么进入lcoc.top服装英语中double topstitches什么意思www.15job.com南方人才市场有官方网站是什么?
in域名注册 香港bgp机房 免费主机 rackspace 韩国加速器 permitrootlogin 好看的桌面背景大图 网页背景图片 日本空间 论坛空间 免费ftp站点 anylink 怎么测试下载速度 刀片式服务器 vip购优惠 如何用qq邮箱发邮件 架设邮件服务器 存储服务器 alertpay 美国vpn服务器 更多