欢迎来到天天文库
浏览记录
ID:32143812
大小:2.36 MB
页数:54页
时间:2019-01-31
《基于cp某某的某某i某某-某p神经网络需求预测模型分析》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、●k--4,’■,一东北大学硕士学位论文AbstractResearchONDemandForecastingModelofARIMA.BPNeuralNetworkBasedonCPFRAbstractInretailingindustry,CPFR(CollaborativePlanningForecastingandReplenishment)wasconsequentlyinitiatedtodownsizethesupplychainoperationcostsandincreasecustomer
2、satisfactionaswell.CPFRisdecidedtoimproveinternalandextemalcooperationefficiency,andlayafoundationforthefullintegrationofsupplychain.CPFRnotonlysavedthesupplychainoperationcosts,butincreasedthesalesaswell,andmoreimportant,ledtosupplychainintegrationbycontin
3、uouslyimprovingthepartner’Srelationshipandtrustlevelbyextendingcooperationscopefrominventorymanagementtodemandmanagement.Inter-enterprisecollaborativedemandforecastingisthecoreofCPFRimplementation,itimprovetheaccuracyofdemandforecasting.Andaccuratedemandfor
4、ecastingCalllowertheproductioncosts,transportationcostsandinventorycosts,Callincreasethesales,therebyimprovethesupplychainoperationefficiency.ThearticlestudiesforecastingmodelmainlybasedonAutoregressiveIntegratedMovingAverage(ARIMA)andBack—PropagationNetwor
5、k(BPNetwork)ofCPFR,onthebasisofsummingupthepast,whichtakesneedsas0bjectincludingsuppliersandmoreretailersoverthesupplychain,specificresearchcontains:(1)BasedoncollaborativeforecastingofCPFR,whichachievesinformationsharingbetweenthesuppliersandretailers,andg
6、uaranteestheaccuracyofforecastingdata,andrealizesunificationofpredictionmethodbetweenthetwoaccordingtoestablishingprojectteam,tothemaximumextent,reducesthepossibilityofpredictinganomalies.(2)Thesupplychaindemandofthestudy,neuralnetworkasaforecastingtool,gen
7、eticalgorithmasoptimizationtool,threeofthebasictheoryandprincipleoftheintegration.Afteroptimizedtheweightofneuralnetwork,theefficiencyoflearninggreatlyimproved.(3)Thisarticlewillbebothorganic:theUSCofARIMAmodelsequencesoflinearpredictionextractionofuncertai
8、nty,withtheremainingresidualcharacteristicsofthenonlinearimprovedBPneuralnetworkmodelusedinformationextraction,andestablishARIMA-BPforecastingmodel.Byallex锄plcthisarticlemakesaforecastingresultcomparis
此文档下载收益归作者所有