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1、Chapter9FilteringOutliers9.1IntroductionAprimarygoalofforecastingistomeasuretheflowofdemandsfromthehistorymonthsandprojecttothefuturemonthswithaminimumforecasterror.Awaytoenhancethisgoalisbyfilteringthehistorydemandstoseekoutanyoutlierdemandsandadjustacco
2、rdingly.Asdemonstratedinthepriorchapter,outlierdemandscausemuchdamagetotheforecastsandincreasetheforecasterror.Filteringofthede-mandhistoryisnotaneasyprocess,butisimportanttoyieldforecastswithminimalforecasterror.Reducingtheforecasterrorwillreducetheamoun
3、tofsafetystockneededtoruntheinventoryoperation.Thischaptershowsawaytoseekoutandadjustanyoutlierdemandsfromthehistorymonthswhenthedemandpatternsareofthehorizontal,trendorseasonaltype.Thefilteringprocesstakesplacejustpriortogeneratingtheforecasts.Anotherway
4、tominimizeoutlierdemandsisbyfilteringthelinedemandsthatoccurintheorderentryphaseoftheinventorystockinglocation.Thisiswhenthecustomerssendinthepurchaseordersandlistoneachlineoftheorder,apartnum-berandaquantity.Thispartnumberrequestisalinedemandandcanbefilt
5、eredtoseekifitisanoutlier.Ifanoutlierisdetectedhere,thelinedemandissentbacktothecustomerseekingverificationonthequantity.9.2HorizontalFilteringSupposethehorizontaldemandpatternwhereNhistorydemandentries,x(1),…,x(N),aretobeusedtogenerateahorizontalforecast
6、.Priortoforecasting,thede-mandsarefilteredseekingifanyoutlierdemands,andifso,theoutlierisadjustedaccordingly.Awaytodothisisdescribedinthefollowingsevensteps.©SpringerInternationalPublishingSwitzerland2015119N.T.Thomopoulos,DemandForecastingforInventoryCon
7、trol,DOI10.1007/978-3-319-11976-2_91209FilteringOutliers9.2.1HorizontalFilteringAlgorithm(HFA)1.Foreachx(t),findtheabsoluteaveragedifference,calledthedifferencemeasureanddenotedasd(t),fromitsclosestneighborsasfollows:dt()=
8、
9、xt0.5xt1xt1()−(−++)()fort2t
10、oN1=−d(1)
11、x(1)x(2)
12、fort=−=1d(N)=−−
13、x(N)x(N1)
14、fort=N2.Locatethemaximumd(t),denotedasdmx,andcallthemonthtmxwheretheassociateddemandisx(tmx).3.Formonthtmx,gettheadjusteddemandastheaverageofitsclosestneighborsasbelow:x`