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Demand Planning Optimizing Operations Across the Supply ChainCFBS
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Transcript of Demand Planning Optimizing Operations Across the Supply ChainCFBS
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7/26/2019 Demand Planning Optimizing Operations Across the Supply ChainCFBS
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DEMAND PLANNING:
OPTIMIZING OPERATIONS ACROSS THE SUPPLY CHAIN
DEMAND PLANNING TECHNOLOGIES REDUCE INVENTORIES, SPUR COLLABORATION
JohnBrandt
Compliments of
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DEMAND PLANNING
Demandplanningsoftwarepackagescanhelpmanufacturersto:
Establish
baseline
sales
forecasts
,incorporating
multipleinputs;Performsophisticatedanalysisthatimprovestheiruseofhumanandcapitalresources;
Optimizepricingcapabilities;andBetterunderstandtheirmarketsandcustomers.
Yettogetthemostoutofthesefunction-richtools,manufacturersmustbewillingtoreorganizetheirplanningprocessesandtosharetheresultinginsightswithsupply-chainpartnersandcustomers.
PREDICTING THE FUTURE
HowdoesBMWknowhowmanyMiniCoopersitwillsellinNorthAmerica?HowmanyPriusesshouldToyotabuildtomeetdemandintheU.S.thisyear?Worldwide?Whenisittimetotweakproductionupwardordownwardtoreflectachangeinthemarket?
Theshortanswertoallthesequestionsis:Nooneknowsforsure.Thelongansweris:Everyoneneedsandwantstoknow.
Thatswhydemandplanningexists.
Demandplanninghasntgottentheattentionthatenterpriseresourceplanningsystems(ERP)orcustomerrelationshipmanagement(CRM)havereceivedinrecentyears.Butthatsnottosayitisntasorespotformanyinthemanufacturinganddistributioncommunities.WhenI speakinfrontofindustrygroupsandaskhowmanypeoplearehappywiththeirsalesforecasts, I dontseeanyhandsatall,saysJohnPavain, presidentofNorwalk, ConnecticutbasedMaxQTechnology, adeveloperofdemandmanagement
systemsandaMicrosoftpartner.Demandplanningisanareathatmostcompaniesneedhelpin.
POORFORECASTING =POORPROFITS
Whetheritsforconsumerpackagedgoods, industrialmanufacturing, hightechandelectronics, orautomotivedemand, salesforecastsoftenlackthesophisticationneededtooptimizebothoperationsandprofits.Wevebeenprettywrongonforecastinginboth
directionsforoursuppliersandforourcustomers,saystheCEO ofamultibillion-dollarhightechmanufacturer.Infact, wevebeenwrongpretty
massively.With
sales
forecasting
,its
sort
of
,why
bother?Thepeoplewhodotheforecastdontknowbecausethecustomersdontknow.
Manufacturersanddistributorsroutinelyaccepttheideathatsalesforecastswillerrbyasmuchas10%, andoften20%ormore.Insomecases, companieshavenotonlyacceptedthefactthatforecastsaresoft,theyvebegunusingsoftwaretoolstoenablethemtotrackthelevelofvarianceovertime, adjustingtheirmaterialsprocurement, operations, anddistributionplansaccordingly.Wetrackourforecastaccuracy, sothatwecanseeaforecastwanderingoutofthenorm,says
thedirectorofproductionplanningandforecastingatalargepackagedfoodsmanufacturer.Wewanttoknowexactlythenumberofweeksweareaboveorbelowacertainaccuracylevelinourforecast.Thatway, webuildupaconsistenttrendoferror.
Granted, thisfoodmanufacturerhasaspecialbusinessneedtominimizetheamountofproductlostduetoexpirationatdifferentwarehouses.Addsthisexecutive,Thesoftwareweareusinggivesustheabilitytolookatthefreshnesslevelandinventoryforeachproductatdifferentwarehouselocations.
Hiscompanyisabletoadjustproductlevelsatitswarehousesasneeded, whileavoidinglossesduetoproductexpiration.Thisfeedbackcapabilityallowsthebusinesstotweakbothproductionandinventoriesformaximumprofitability.
Theseproblemsaresimilartothoseexperiencedinotherindustries, includinghightechandelectronics,wherechips, subassemblies, andevenfinishedproductssuchascomputershavelimitedeffectiveshelflives.Here, too, inventoriesmustbemanagedinsuchawayastomaximizesalesandminimizespoilageasproductsbecomeobsoleteorunwanted.
Inindustriessuchassteel, excessfinished-goodsinventoryendsupasexpensivescraplatermelteddowntofillneworders.Meanwhile, steelproducersloseproductiontimeandwastelaborproducingandstoringtheunwantedinventory, someofwhichwasrejectedbecauseitsproductionwastoolateforcustomerdemand.Indeed, anentireindustrythesteelservicecenterhasarisentocatertotheneedsofsteelcustomerswhocouldntwaitfortheirordersto
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DEMAND PLANNING
becoated, slit, shipped, anddelivered.Theautomotiveindustryfacesanevenmorecomplexproblem.GeneralMotors, forinstance, begantrimmingproductionthis
yearat
certain
plants
in
late
summer
and
early
fall
to
bringinventoriesmorecloselyinlinewithslowingsalesfigures.Yetevenasdealersaroundthecountryfoundthemselvesburdenedwithunusuallyhighinventoriesontheirlots, GM keptshippingvehiclesbecausethecompanybooksrevenueandprofitatthetimeitbuildsandshipsvehicles, notwhentheyarepurchasedbyconsumers.
Thissystemhaspredictableandpainfulresults:AsofJuly, theaveragetimeittooktosellanewGM vehiclewasuptoarecord91days, forcingthecompanytooffersalesincentivesofupto$4,500inrebatesper
vehicle.If, however, aneffectivedemandplanningprocesshadbeeninplace, timelyanalysisofkeyfactorsincludingsharplyrisinggasolinepricesandnegativeconsumerattitudestowardthesafetyandenvironmentalfriendlinessofSUVswouldhavepromptedGM toscalebackproductionofHummersandotherlargeSUVs, whosesaleswerehitthehardestinthefirsthalfoftheyear.
Now, however, withthe2005modelsreadytohitshowroomfloors, inventory-swampeddealerswereunderstandablyreluctanttoacceptadditionalinventories.Inturn, thereductionindealerorders
finallycurtailedproduction.Yetexistinginventoriesremainhigh, costlytobothcarryandunloadatdiscountedprices.SaysonesecuritiesanalystregardingthesituationsimpactonGMsearnings:Itsthecompanyschoicewhethertheypayitbacknoworpayitbacklater.
Poordemandmanagementiscostlyformanufacturersanddistributorsinotherwaysaswell.Onelargemakerofdatastorageproductsthatdistributesviaconsumerelectronicsretailersfounditwasconstantlyplayingcatch-upwithitsdealers, routinelymissingshipmentsandorderdates.Althoughwewerespendingmorethanaweekeachmonthplanningandforecasting,wewerestillfacingfinesbyourretailersformissingshipmentdates,reportsthedirectorofsalesplanning.
Tohelpsolvetheproblem, thecompanypurchasedademandforecastingsoftwarepackage.Thesoftwaretakesintoaccounteachproductsdemandpattern,whileallowingdecisionmakerstoadjustforecastsandinventoriestomeetthecompanysgoals.
Otherdownsidestoinadequatedemandplanningincludepoorcustomersatisfaction, out-of-stockitems,andhighinventoriesallofwhichdrainthebottom
line.Any
time
acustomer
finds
an
item
out
of
stock
andgoestoanotherstoreandbuysacompetitorsproduct, boththemanufacturerandretailerhavelostsales.
Evenwithdemandplanning, forecastingremainsdifficult;variablesrangingfrompromotionstostoreopeningstoretailchannelshiftsmustbeincludedinestimatingdemand.WhenDellmailsoutcatalogsandsendsoute-mailblasts,saysMaxQsPavain, theymustusepasthistoryasaguidetoplanhowmuchofasalesincreaseisexpected.
Stillmoredifficulttoassessisthedemandforanewproduct.Youcandomarketresearchandlookatsimilarproducts, butforproductsthatareinstanthitsorfads, itsverymuchliketryingtopredictthefuture,saysPavain.WhoknewApplesiPodwasgoingtotakeoff, whereastheNewton[anearlyhandheldPDA]wasadud.
DEMAND PLANNING TECHNOLOGY
Wherejustfiveyearsagoonlylargeenterpriseclients
couldafford
sophisticated
demand
planning
systems
,
newsoftwarepackagesarewellwithinthebudgetsofmostcompanies.Yetdespitetheavailabilityofnewtechnology, manysmallandmidsizemanufacturersanddistributorscontinuetoforecastusingsimplespreadsheets.Saysonetechnologyanalyst, [Microsoft]Excelisthemostwidelydeployeddemandplanningtool.
Unfortunately, spreadsheetstypicallylacksophisticatedforecastingalgorithms, arentbuilttotrackmultipleinputs, andfallshortinperformingsophisticatedanalysisforvarioususergroupswithinabusiness.Companiesinterestedinmoreeffectivemanagement
oftheirsupplychainshavefoundthatfunction-richdemandplanningsoftwarecanbeapowerfultooltohelpmanagerstakeguessworkoutoftheplanningprocess.
Why?Becausedemandplanningsoftwarerecognizesawidearrayofvariablesthatinfluencesalesprojections.Forexample, whilesalesrepresentativestypicallyviewdemandinaparticularregionbasedonthetotal
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DEMAND PLANNING
revenueitproduced, operationsplannersinthesamefirmviewdemandbyquantitiesofeachproductsold.Demandplanningsoftwareaccountsforbothvariables.
Demandplanningsystemstypicallyproduceabaselineforecastbasedonshipmentororderhistory.Onceestablished, userscanchangethebaselinetoaccountforotherdata, includingpromotions, advertisinginserts, seasonality, newsalesoutlets, andotherfactors.
Atthesametime, demandplanningsoftwarefactorsinpotentialconstraintssuchasmaterialsavailabilityandplantcapacity.Youcansetupthesystemtoswitchfromamaketoabuyapproachforacertainpartorcomponentanytimeinsufficientin-housecapacityexists.
Thesesystemstypicallyyieldfourorfivedatastreams,withvaryingforecasts.Atthispoint, managementplaysaroleintheplanningprocess, overlayingbroaderstrategicgoals, suchasreducinginventoryandimprovingcustomerservice.Inaddition, thesesystemsusuallyoffernotificationfunctions, providingplannerswithautomaticupdateswhencertaineventsoccur, suchasachangeofmorethan30%fromthepreviousmonthsforecast.Mostdemandplanningpackagesalsooffersimulationcapabilitiestocomparemultipleforecastsandtheirimpactsonbothrevenueandprofitability.
AutomotivemanufactureranddistributorHyundaiMotorAmericausespoint-of-saledatatobuildademandforecastforitsserviceparts.Thecompanyusesademandmanagementsystemtodigestmorethanthreeyearsofpartssalesdatatocalculatedemandforecastsbypartnumberforfourwarehouses,leadingtoanorderplanforsome50,000parts.TheorderisthensenttoKorea, wherethecompanyisheadquarteredandwheremanyofitspartssuppliersarelocated.Asaresult, thecompanyhasreducedinventoryandboosteditsfillrate.
SUPPLY-CHAIN COLLABORATION
Manufacturersanddistributorsseekingtooptimizetheirforecaststrytoincludetheirsupply-chainpartnersintheplanningprocess.Yetaccordingtooneestimate, only10%ofmanufacturersanddistributorsareusingcollaborativesupply-chainplanningsystems.Therealityisthatwhilemanysuppliersworkwithkeycustomerstobuildforecasts, fewperformthisexercise
online.Why?Tworeasons:First, manycompaniesarereluctanttosharedata, andsecond, evenwhenwilling,fewfirmsareabletocommitthemanagerialand
technologicalresources
necessary
to
make
this
kind
of
collaborativeplanningwork.Saysonemanufacturer,Yourerelyingonyourcustomertohavethesameexpertisethatyoudo, andthatsnotalwaysthecase.
Anotherobstacletocollaborationistechnologicalintegration(oritslack)amongvariousplayersinthesupplychain.Soonerorlater, companieslargeandsmallmanufacturers, distributors, andretailersalikewillconnectusingtrueapplication-to-applicationintegrationtechnologiessuchasXML andMicrosofts.NET initiative.Inthemeantime, companieslookingtocollaborateregardingsupply-chainneedsand
demandforecastsgenerallydosoonacustomized,one-on-onebasis.
OnetechnologythatisprovingaboontodemandplanningistheWebportal.Manyprogressivemanufacturersanddistributorsareusingportalstolinktheirdealerandretailernetworksforbothproductorderingandsalesforecasting.Forexample, FleetwoodEnterprises, aleadingmakerofrecreationalvehiclesandmanufacturedhousing, isusingaWebportaltouploaddealersalesdatatoimproveforecasting.
ForFleetwoodandothers, thepayoffsderivedfroma
moreeffectivedemandplanningsystemripplethroughthesupplychain.Butfortheindividualmanufacturerordistributor, theytendtocenteraroundkeyfinancialbenefits:
Reductionofinventories,Reducedwarehousespace, andImprovedcustomersatisfaction, resultingin
increasedsales.
Forinstance, bysimplyusingademandplanningpackage, onemanufactureroftireproductswasabletocutsupplyordersbyhalfandreducepeakinventoriesby25%inthefirstyear.
Thesebenefitscanbesosignificant, infact, thatsomemanufacturersanddistributorsaregoingtheextramileforcustomers, providingvendor-managedinventories.Youdothereplenishmentforthecustomersandmanagetheirinventoryofyourproductsforthem,explainsMaxQsPavain.Distributorsofferthesameservicewhentheystockretailersshelves.Customersappreciatetheextraattention, whilemanufacturersanddistributorsgetdirectdemandsignalsfromthe
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DEMAND PLANNING
efficient, andmoreresponsivesupplychainsandhappiercustomers.Collaborativeforecastinggivesthesuppliermoreinformation,saysPavain, and
themore
information
[a
supplier]
has
,the
better
thesuppliercanserve[customers].Thebenefitsaresignificantreductionsininventoryandwarehousespace, animprovedabilitytosupplythecustomer,andincreasedsales.
SUMMARY
Manufacturersindiverseindustrieshavedramaticallyimprovedtheirforecastingaccuracywithdemandplanningsoftwarepackages.Buttoturntheircrystalballsintoimprovedbottomlines, organizationsmust:
Developtheproductsandservicesbasedoncustomerdemand, notguesswork;
Establishpricingbasedondynamicmarketfeedback;
Manageeffectivelytoforecasts, therebyoptimizingtheperformanceoffacilities, people,inventories, andsuppliers;and
Extendtheirforecastingcapabilitiesacrosstheentiresupplychainwithcollaborativeplanning.
marketremovingmuchoftheuncertaintyfromtheplanningprocess.
Onecompanyusingvendor-managedinventoryisGMBrazil.Usingcustomerdemanddataprovidedthroughitsdealernetwork, thecompanysvendor-managedinventorysystemdrivessalesforecastsformorethan20,000parts.Withthenewsystem, initialforecastaccuracywasmorethan90%.
THE PAYOFF
Effectivedemandplanningcanprovidesignificantbenefits, including:
Moreprofitablelinkingofpricing, promotions,andothersalesincentives;
Betterinformedsupply-chaindecisionsasaresultofmoreaccuratedataregardingcustomerdemand;
Moreefficientandpredictableuseofplantcapacity, equipment, andlabor;and
Betterunderstandingofcustomerneedssothatmanufacturersanddistributorscanimproveproducts, deliveries, andsatisfaction.
Manufacturersanddistributorswhohaveinvestedin
newdemandplanningsystemshavebenefittednotonlythroughimprovementsininternaloperations,butalsofromthegreatercollaborationfosteredbythesetechnologies.Theendresultsaretighter, more
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andfocusonwhatsmostimportant.AndbecauseitisfromMicrosoft, iteasilyworkswiththesystemsyourcompanyalreadyhasimplemented.Byautomatingandstreamliningfinancial, customerrelationshipandsupplychainprocesses,MicrosoftDynamicsbringstogetherpeople, processesandtechnologies, increasingtheproductivityandeffectivenessofyourbusiness, andhelpingyoudrivebusinesssuccess.
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