基于多Agent的供应商管理库存中需求预测的研究

1、华东交通大学硕士学位论文基于多Agent的供应商管理库存中需求预测的研究姓名：魏伟申请学位级别：硕士专业：计算机应用技术指导教师：杜江洪20061026I21VMIAgentAgentAgentMASAgentVMIVMIVMISwarmjavaAgentSwarmabstractIIResearchondemandforecastofvendormanageinventorybasedonMulti-AgentABSTRACTCompetitioninthe21stCenturyisthecompetitionofthesupplychain.Inventorymanagementisaveryimportantaspectofsupplychainmanagement.Thispaperwillchooseanadvancedinventorymanagementmodelvendormanageinventory(VMI)todiscuss.Theenterpriseisinthefaceofthevariousproductsandthefactorofcustomers’d。

2、emandchangemoreandmore.Inthiskindofsituation,theenterprisescant’tfullygrasptheaccurateinformation.Inthesametimeuncertaintyoftheproductshort-termdemandwillincreasethedifficultyofproductforcast.Soweestablishademandmodelwhichcanforecastaccuratelyandgetaccuratefilingstock.Andthisisacurrentlyresearchtopic.Andthesupplychainisacomplexnetworkandtypicallong-distanceheterogeneousdistributedsystemswhichismadeupofrawmaterialsupplier,theproducer,theretailmerchantandthewarehouse.TheAgenttechnologyisanimportan。

3、tbreakthroughintheresearchofAI.UsingAgent’sinitiative,interaction,reactivity,independencytoconstructthedistributionalsystemstructuralmodelisaneffectivemethod.Atpresent,theMASmodelingmothodbasedonAgentistheoneoftheimportantresearchmethodswhichisusedmoreineconomic,themanagementscience,thebiologicalscienceandsoon.ThispaperdiscussesthemothodtomodelfromthebottomtotopandthemeritandtheadvantangeofVMI.Weusethemulti-spotofgeneticalgorithm,analysisthemanagementsystemstructureofVMIandthemothodofforecasttoe。

4、stablishaVMImodel.Weaddtheforecastmethodwhichisconstructedbygeneticalgorithmtothemodel.Thencomputingtheforecastandthefillstocktofindthebetterforecastvalue.InthismodeleveryAgentintercoordinates,sharestheinformation,realizestheinformationsharingfunctioninthesupplychainbetweenthepoint.Finallywetaketheactualmarketconditionsasthebackgroundtomakeashort-timesilulationusejavatosimulateonSwarmplatform.Andtakingtheaverageastheappraisaltarget,keepingthechangesituationtoconfirmshowingagain.Andcarringontheco。

5、mparisonwiththetraditionalforecastmethod.Whenusingourmethod,thedemandforecastismoreaccuratethantheothers,itsstockchangesituationisstable,namelytheerroneousundulationissmall.Sowhensettingthesafestock,wecanestablishthelowsafestock,reducetheentiresupplychain’sstockcost.Therefore,thismodelmightalsodoforthefuturecorrelationresearchforthereference.KeyWordsMulti-Agent,vendormanageinventory,Swarm,geneticalgorithm,demandforecast____________________________________________________________2,(SupplyChainMan。

6、agementSCM)()[1](VendorManagedInventoryVMI)[2]3EDIVMIVMIVMIAgentAgentAgentAgentAgentVMI[3]AgentVMIVMISwarm4java1.2.1MAS:MASAgentAgentMASMASInternetAgentMASMASInternetF.Perriolat1996ARCHONB.Burmeister1997R.Weihmayer1998PR(KAMRO)KAMARA[4]AgentMASMASSwarm[5]1998AgentAOSDEAgentSACL,AgentADLAgentAgentNDUIA(NanDaUserInterfaceAgent)Agent:1;21AgentAgentSwaminathan[6]Kalakota[7]AgentWhat-ifSwaminathanAgentAgent5[6]Agent[8]PetriAgentAgentAgentAgentSwarm[9]AgentSadehAgent[10][11]Agent2AgentAgentAgentAgentM。

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