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ID:57383512
大小:1.42 MB
页数:24页
时间:2020-08-14
《demandplanning(供应链高级计划排程课件).ppt》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
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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