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Practice Quiz For Operations Management Creating Value Along the Supply Chain 9th Edition Roberta S. Russell, Bernard W. Taylor

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Practice Quiz For Operations Management Creating Value Along the Supply Chain 9th Edition Roberta S. Russell, Bernard W. Taylor

Content preview

ChapterG03G-GForecasting


ChapterG03
Forecasting
GG

TrueG/GFalseGQuestions
G



1.GForecastingGtechniquesGgenerallyGassumeGanGexistingGcausalGsystemGthatGwillGcontinueGt
oGexistGinGtheGfuture.G
TrueGGGGFalse

G



2.GForGnewGproductsGinGaGstrongGgrowthGmode,GaGlowGalphaGwillGminimizeGforecastGerrors
GwhenGusingGexponentialGsmoothingGtechniques.G
TrueGGGGFalse

G



3.GOnceGacceptedGbyGmanagers,GforecastsGshouldGbeGheldGfirmGregardlessGofGnewGinputGsin
ceGmanyGplansGhaveGbeenGmadeGusingGtheGoriginalGforecast.G
TrueGGGGFalse

G



4.GForecastsGforGgroupsGofGitemsGtendGtoGbeGlessGaccurateGthanGforecastsGforGindividualGite
msGbecauseGforecastsGforGindividualGitemsGdon'tGincludeGasGmanyGinfluencingGfactors.G
TrueGGGGFalse

G



5.GForecastsGhelpGmanagersGplanGbothGtheGsystemGitselfGandGprovideGvaluableGinformationG
forGusingGtheGsystem.G
TrueGGGGFalse

G



6.GOrganizationsGthatGareGcapableGofGrespondingGquicklyGtoGchangingGrequirementsGcanGus
eGaGshorterGforecastGhorizonGandGthereforeGbenefitGfromGmoreGaccurateGforecasts.G
TrueGGGGFalse

G




3-1

,ChapterG03G-GForecasting



7.GWhenGnewGproductsGorGservicesGareGintroduced,GfocusGforecastingGmodelsGareGanGattract
iveGoption.G
TrueGGGGFalse

G



8.GTheGpurposeGofGtheGforecastGshouldGbeGestablishedGfirstGsoGthatGtheGlevelGofGdetail,Gamo
untGofGresources,GandGaccuracyGlevelGcanGbeGunderstood.G
TrueGGGGFalse

G



9.GForecastsGbasedGonGtimeGseriesG(historical)GdataGareGreferredGtoGasGassociativeGforecasts.
G
TrueGGGGFalse

G



10.GTimeGseriesGtechniquesGinvolveGidentificationGofGexplanatoryGvariablesGthatGcanGbeGuse
dGtoGpredictGfutureGdemand.G
TrueGGGGFalse

G



11.GAGconsumerGsurveyGisGanGeasyGandGsureGwayGtoGobtainGaccurateGinputGfromGfutureGcus
tomersGsinceGmostGpeopleGenjoyGparticipatingGinGsurveys.G
TrueGGGGFalse

G



12.GTheGDelphiGapproachGinvolvesGtheGuseGofGaGseriesGofGquestionnairesGtoGachieveGaGcons
ensusGforecast.G
TrueGGGGFalse

G



13.GExponentialGsmoothingGaddsGaGpercentageG(calledGalpha)GofGlastGperiod'sGforecastGtoGes
timateGnextGperiod'sGdemand.G
TrueGGGGFalse

G




3-2

,ChapterG03G-GForecasting



14.GTheGshorterGtheGforecastGperiod,GtheGmoreGaccuratelyGtheGforecastsGtendGtoGtrackGwhatG
actuallyGhappens.G
TrueGGGGFalse

G



15.GForecastingGtechniquesGthatGareGbasedGonGtimeGseriesGdataGassumeGthatGfutureGvaluesGo
fGtheGseriesGwillGduplicateGpastGvalues.G
TrueGGGGFalse

G



16.GTrendGadjustedGexponentialGsmoothingGusesGdoubleGsmoothingGtoGaddGtwiceGtheGforeca
stGerrorGtoGlastGperiod'sGactualGdemand.G
TrueGGGGFalse

G



17.GForecastsGbasedGonGanGaverageGtendGtoGexhibitGlessGvariabilityGthanGtheGoriginalGdata.G
TrueGGGGFalse

G



18.GTheGnaiveGapproachGtoGforecastingGrequiresGaGlinearGtrendGline.G
TrueGGGGFalse

G



19.GTheGnaiveGforecastGisGlimitedGinGitsGapplicationGtoGseriesGthatGreflectGnoGtrendGorGseaso
nality.G
TrueGGGGFalse

G



20.GTheGnaiveGforecastGcanGserveGasGaGquickGandGeasyGstandardGofGcomparisonGagainstGwh
ichGtoGjudgeGtheGcostGandGaccuracyGofGotherGtechniques.G
TrueGGGGFalse

G



21.GAGmovingGaverageGforecastGtendsGtoGbeGmoreGresponsiveGtoGchangesGinGtheGdataGseries
GwhenGmoreGdataGpointsGareGincludedGinGtheGaverage.G
TrueGGGGFalse

G




3-3

, ChapterG03G-GForecasting



22.GInGorderGtoGupdateGaGmovingGaverageGforecast,GtheGvaluesGofGeachGdataGpointGinGtheGa
verageGmustGbeGknown.G
TrueGGGGFalse

G



23.GForecastsGofGfutureGdemandGareGusedGbyGoperationsGpeopleGtoGplanGcapacity.G
TrueGGGGFalse

G



24.GAnGadvantageGofGaGweightedGmovingGaverageGisGthatGrecentGactualGresultsGcanGbeGgive
nGmoreGimportanceGthanGwhatGoccurredGaGwhileGago.G
TrueGGGGFalse

G



25.GExponentialGsmoothingGisGaGformGofGweightedGaveraging.G
TrueGGGGFalse

G



26.GAGsmoothingGconstantGofG.1GwillGcauseGanGexponentialGsmoothingGforecastGtoGreactGmo
reGquicklyGtoGaGsuddenGchangeGthanGaGsmoothingGconstantGvalueGofG.3.G
TrueGGGGFalse

G



27.GTheGTGinGtheGmodelGTAFG=GS+TGrepresentsGtheGtimeGdimensionG(whichGisGusuallyGex
pressedGinGweeksGorGmonths).G
TrueGGGGFalse

G



28.GTrendGadjustedGexponentialGsmoothingGrequiresGselectionGofGtwoGsmoothingGconstants.G
TrueGGGGFalse

G



29.GAnGadvantageGofG"trendGadjustedGexponentialGsmoothing"GoverGtheG"linearGtrendGequati
on"GisGitsGabilityGtoGadjustGoverGtimeGtoGchangesGinGtheGtrend.G
TrueGGGGFalse

G




3-4
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Richard B. Chase, F. Robert Jacobs, Nicholas J. Aquilano Operations Management /Mit DVD
Publisher: Unknown ISBN: 9780071284189 Edition: Unknown

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