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ID:55570023
大小:1.64 MB
页数:45页
时间:2020-05-18
《介绍operationmanagement项目管理.ppt》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、3Forecasting3-2LearningObjectivesListtheelementsofagoodforecast.Outlinethestepsintheforecastingprocess.Describeatleastthreequalitativeforecastingtechniquesandtheadvantagesanddisadvantagesofeach.Compareandcontrastqualitativeandquantitativeapproachestoforecasting.3-3LearningObjectiv
2、esBrieflydescribeaveragingtechniques,trendandseasonaltechniques,andregressionanalysis,andsolvetypicalproblems.Describetwomeasuresofforecastaccuracy.Describetwowaysofevaluatingandcontrollingforecasts.Identifythemajorfactorstoconsiderwhenchoosingaforecastingtechnique.3-4FORECAST:Ast
3、atementaboutthefuturevalueofavariableofinterestsuchasdemand.Forecastingisusedtomakeinformeddecisions.Long-rangeShort-range3-5ForecastsForecastsaffectdecisionsandactivitiesthroughoutanorganizationAccounting,financeHumanresourcesMarketingMISOperationsProduct/servicedesign3-6Accounti
4、ngCost/profitestimatesFinanceCashflowandfundingHumanresourcesHiring/recruiting/trainingMarketingPricing,promotion,strategyMISIT/ISsystems,servicesOperationsSchedules,MRP,workloadsProduct/servicedesignNewproductsandservicesUsesofForecastsIseethatyouwillgetanAthissemester.3-7Assume
5、scausalsystempast==>futureForecastsrarelyperfectbecauseofrandomnessForecastsmoreaccurateforgroupsvs.individualsForecastaccuracydecreasesastimehorizonincreasesFeaturesofForecasts3-8ElementsofaGoodForecastTimelyAccurateReliableMeaningfulWrittenEasytouse3-9StepsintheForecastingProc
6、essStep1DeterminepurposeofforecastStep2EstablishatimehorizonStep3SelectaforecastingtechniqueStep4Obtain,cleanandanalyzedataStep5MaketheforecastStep6Monitortheforecast“Theforecast”3-10TypesofForecastsJudgmental:usessubjectiveinputsTimeseries:useshistoricaldata,assumingthefuturewill
7、belikethepastAssociativemodels:usesexplanatoryvariablestopredictthefuture3-11JudgmentalForecastsExecutiveopinionsSalesforceopinionsConsumersurveysOutsideopinionDelphimethodOpinionsofmanagersandstaffAchievesaconsensusforecast3-12TimeSeriesForecastsTrend:long-termmovementindataSeaso
8、nality:short-termregularvariation
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