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基于Supply-hub的多供应商横向协同补货决策模型.docx

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基于Supply-hub的多供应商横向协同补货决策模型 Supply-hubisasoftwareplatformthatenablescollaborationbetweenmultiplesuppliersintheprocessofreplenishinginventory.Inthispaper,wewilldiscussthedevelopmentofamulti-vendorhorizontalcollaborativereplenishmentdecision-makingmodelbasedonSupply-hub. Supplychainmanagementisacriticalaspectofanybusinessoperation,asitinvolvestheflowofgoodsandservicesfromsupplierstocustomers.Traditionally,companieshavemanagedtheirsupplychainbyworkingwithindividualsuppliersindependently.However,thisapproachhaslimitationsintermsofefficiencyandeffectiveness,asitmayleadtoexcessinventoryorstockouts. Theemergenceofcollaborativereplenishmentmodelshasprovidedasolutiontothesechallenges.Bycollaboratingwithmultiplesuppliers,companiescanoptimizetheirinventorylevelsandbetteraddresscustomerdemand. TheSupply-hubplatformactsasacentralhubthatconnectsmultiplesuppliersandfacilitatescollaboration.Itprovidesaframeworkforsharinginformation,coordinatingorders,andensuringtimelydeliveryofgoods.Theplatformallowssupplierstoviewinventorylevels,trackcustomerorders,andmakereal-timeadjustmentstotheirproductionanddeliveryschedules. Themulti-vendorhorizontalcollaborativereplenishmentdecision-makingmodelbuiltonSupply-hubleveragestheplatform'scapabilitiestoenhancesupplychainefficiencyandagility.Themodelconsidersfactorssuchasdemandpatterns,suppliercapabilities,andleadtimestomakeoptimalreplenishmentdecisions. Toimplementthemodel,companiesfirstneedtocollectandanalyzedataoncustomerdemandpatterns,suppliercapacities,andproductionleadtimes.ThisinformationisthenfedintotheSupply-hubplatform,whichenablessupplierstocollaborateandmakeinformeddecisions. Themodelutilizesmathematicaloptimizationalgorithmstoidentifytheoptimalreplenishmentquantitiesfromeachsupplier.Thesealgorithmstakeintoaccountfactorssuchastransportationcosts,supplierleadtimes,andcustomerdemandvariability.Byconsideringthesefactors,themodelensuresthattherightquantityofgoodsisreplenishedattherighttimetomeetcustomerneedswhileminimizinginventorylevelsanda