demandplanning(供应链高级计划排程课件).ppt

demandplanning(供应链高级计划排程课件).ppt

ID:57383512

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时间:2020-08-14

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1、Demandplanning2016-4MichaelWagnerIntroductionWhyisdemandplanningnecessary?LargebenefitswhichareachievedbySupplyChainManagementareaccreditedtothereductionofinventories,esp.tothedecrementofsafetystocksWhatisthepurposeofdemandplanning?ThepurposeofDemandPlanningistoimprovedecisionsaffectingdemandaccura

2、cyandthecalculationofbufferorsafetystockstoreachapredefinedservicelevel.Whatismainobstacles?processuncertainty(e.g.unreliableproductionprocesses,fluctuatinglead-timesetc.)demanduncertainty(differenceinplannedorestimateddemandandactualsales).CONTENTSFirstpartSecondpartThirdpartLastpartAdemandplannin

3、gframeworkStatisticalforecastingtechniquesIncorporationofjudgmentalfactorsAdditionalfeaturesAdemandplanningframeworkAdemandplanningframeworkproductdimension:product→productgroup→productfamily→productline;geographicdimension:customer→salesregion→DCregion/location;timedimension:differentbucketsize(da

4、ys→weeks→years)andhorizon.CONTENTSFirstpartSecondpartThirdpartLastpartAdemandplanningframeworkStatisticalforecastingtechniquesIncorporationofjudgmentalfactorsAdditionalfeaturesStatisticalforecastingtechniquestime-series-analysiscausalmodelsTwobasicapproachesStatisticalforecastingtechniquesStatistic

5、alforecastingtechniquestime-series-analysiscausalmodelsTwobasicapproachesStatisticalforecastingtechniques1MovingAverageandSmoothingMethods2RegressionAnalysis3ARIMA/Box-Jenkins-methodThreemostfrequentlyusedforecastingmethodsStatisticalforecastingtechniques1MovingAverageTheparameterestimatefortheleve

6、liscalculatedbyaveragingthepastndemandobservations.SmoothingMethodsTheneedtocutthetime-seriesisavoidedbytheexponentialsmoothingmethod,becauseitassignsdifferentweightstoallobserveddemanddataandincorporatesthemintotheforecastStatisticalforecastingtechniques2RegressionAnalysisWheresignificantinfluence

7、ofsomeknownfactorsispresent,itseemstobestraightforwardtousecausalmodelsintheforecastingprocess.Regressionanalysisisthestandardmethodforestimationofparametervaluesincausalmodels.Statisticalforecastingtechniq

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