欢迎来到天天文库
浏览记录
ID:40145958
大小:122.00 KB
页数:46页
时间:2019-07-23
《供应链管理(第5-讲)》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、Chapter4DemandForecastinginaSupplyChainSupplyChainManagement7-1LearningObjectivesunderstandtheroleofforecastinginasupplychain;identifythecomponentsofademandforecast;forecastdemandinasupplychaingivenhistoricaldemanddatausingtimeseriesmethodologies;anal
2、ysisdemandforecaststoestimateforecasterror.2OutlineTheroleofforecastinginasupplychainCharacteristicsofforecastsComponentsofforecastsandforecastingmethodsBasicapproachtodemandforecastingTimeseriesforecastingmethodsMeasuresofforecasterrorForecastingdeman
3、datNaturalGas.com34.1RoleofForecastinginaSupplyChain4RoleofForecastinginaSupplyChainThebasisforallstrategicandplanningdecisionsinasupplychainUsedforbothpushandpullprocessesExamples:Production:scheduling,inventory,aggregateplanningMarketing:salesforce
4、allocation,promotions,newproductionintroductionFinance:plant/equipmentinvestment,budgetaryplanningPersonnel:workforceplanning,hiring,layoffsAllofthesedecisionsareinterrelated54.2CharacteristicsofForecasts6CharacteristicsofForecastsForecastsarealwayswro
5、ng.Shouldincludeexpectedvalueandmeasureoferror.Long-termforecastsarelessaccuratethanshort-termforecasts(forecasthorizonisimportant)Aggregateforecastsaremoreaccuratethandisaggregateforecasts74.3ComponentsofaForecastingandForecastingMethods8ForecastingMe
6、thodsQualitative:primarilysubjective;relyonjudgmentandopinionTimeSeries:usehistoricaldemandonlyStaticAdaptiveCausal:usetherelationshipbetweendemandandsomeotherfactortodevelopforecastSimulationImitateconsumerchoicesthatgiverisetodemandCancombinetimeseri
7、esandcausalmethods9StaticAdaptiveMovingaverageSimpleexponentialsmoothingHolt’smodel(withtrend)Winter’smodel(withtrendandseasonality)104.4BasicApproachtoDemandForecasting11BasicApproachtoDemandForecastingUnderstandtheobjectivesofforecastingIntegratedem
8、andplanningandforecastingIdentifymajorfactorsthatinfluencethedemandforecastUnderstandandidentifycustomersegmentsDeterminetheappropriateforecastingtechniqueEstablishperformanceanderrormeasuresfortheforecast124.5TimeSeriesForecastingMeth
此文档下载收益归作者所有