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SALES AND OPERATIONS PLANNING PART II:ENABLING TECHNOLOGYBy
Larry Lapide
(This is an ongoing column inThe Journal, which is intended
togive a brief view on a potentialtopic of interest to
practitioners ofbusiness forecasting. Suggestionson topics that you
would like to seecovered should be sent via email
[email protected])
This column represents the secondof a three-part series covering
theSales and Operations Planning(S&OP) process. As discussed in
Part I.S&OP has been receiving a lot ofattention for the past
couple of years.There are a number of industry-widestudies in the
area.
Companies are recognizing its valuein improving the tactical and
operationalplanning to prepare the supply chain formeeting
anticipated customer demand.S&OP appears to be driving supply
chainbenefits such as better meeting customerdemand while at the
same time resultingin reduced inventories and minimizedsupply chain
operating costs.
In addition, an indicator of a longerterm interest in the
S&OP process is thefact that, according to AMR
Research,companies have spent over $12 billion insupply chain
planning applicationsoftware over the last 6 years. Yet,
whilespending significant sums of money onS&OP-related
software, they are notseeing the benefits they expected becausemany
did not change the process to fullyleverage the enabling
technology.
Hence, the rationale for this column isto see what kind of
enabling technology is
needed to support the S&OP process.
THE NEED FORTECHNOLOGY
First and foremost, one needs torecognize that software
technology itselfis not very useful. It becomes useful when
LARRY LAPIDE
Dr. Lapide is a Research Director atMIT's Center for
Transportation andLogistics where he manages its SupplyChain 2020
Project focused on supplychain management of the future. Hehas
extensive business experience inindustry, consulting, and research,
andhas a broad range of forecastingexperiences. He was a forecaster
inindustry for many years, has ledforecasting-related consulting
projectsfor clients across a variety of industries,and has taught
forecasting in a collegesetting. In addition, for 7 years he was
aleading market analyst in the researchof forecasting and supply
chainsoftware.
one starts to improve a business process.However, often, without
technology, abusiness process like S&OP iscumbersome and can't
support the scaleneeded to achieve all its benefits. In thatcase,
technology becomes necessary, butnot sufficient. Often, the process
isdealing with a large complex set of needsthat require a level of
automation andcomputational sophistication that goesbeyond what can
be achieved with manualprocesses merely supported by
computerspreadsheets.
Take, for example, the planning needsof a typical Fortune 500
multinationalmanufacturing company. Its S&OPprocess may need to
develop weekly plans6 to 18 months out for the
followingsupply-demand elements:
Customer demand in termsofStock-Keeping-Units (SKUs) at avariety
of shipping locations (i.e.,SKULs). Given that products mightbe
shipped from 25 or more plantsand distribution centers fromaround
the world, it is not incon-ceivable to have to develop weeklydemand
plans for over 100 thou-sand SKULs over a 50-week timeframe or 5
million planningelements.
Finished goods inventory replenish-ment requirements for 25 or
moreshipping locations would also resultin millions of numbers of
planningelements.
Production plans/schedules withthe corresponding component
andmaterial needs of 15 or more plantswould also require millions
ofnumbers of planning elements.
Given that there might be a total of
THE JOURNAL OF BUSnMESS FORECASTING, WINTER 2004-05
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over 10 million planning elements thatneed to be generated,
coupled with thefact that constraint-based planning mightneed to be
done using computationallyintensive algorithms, it is often
virtuallyimpossible for a Fortune 500manufacturer to support the
S&OPprocess manually with spreadsheettechnology alone. This
holds true evenwhen the S&OP process is done at ascaled-down
aggregated-product level,which is oflen done to make it
moremanageable.
ENABLING TECHNOLOGYARCHITECTURE
The S&OP process needs to besupported by three types of
softwareapplications: I) demand-side planning, 2)supply-side
planning, and 3) an S&OPworkbench. The components and
theintegrated supply-demand planningtechnology architecture for
these aredisplayed in Figure 1. It depicts how thecomponents need
to be integrated amongthemselves, as well as with
othertransactional-oriented business systemssuch as Enterprise
Resource Planning(ERP), Manufacturing Execution (MES)and Material
Requirements Planning(MRP) systetns. The components for eachofthe 3
types of software applications aredescribed below:
/. Demand-Side Planning Systems:These system components support
thedevelopment of a demand plan and an"unconstrained" baseline
forecast that areused as demand-side inputs to the S&OPprocess.
As such, they need to allow usersof the systems to generate
statisticalforecasts based on various endogenousand exogenous
variables such asMarketing & Sales plans that
reflectpromotional campaigns, new productintroductions, pricing
actions, and achanging competitive environment, whichhave an impact
on future demand. Thenthey incorporate the market intelligenceinto
the base line forecasts. The "DemandCollaborator" system, on the
other hand,captures, assembles, and processes themarket
intelligence gleaned from a variety
FIGURE 1INTEGRATED SUPPLY-DEMAND PLANNING
TECHNOLOGY ARCHITECTURE
S&OP Workbench Dashboards Scorecards
ftDemand-Side Planning
DemandPlanner
DemandCollahorator
t*
f 4Supplv-Side Planning
InventoryMgmt/DRP
Multi-facility APS Inventory Optimizer Supply Collaborator
ERP Systems Legacy Systems MRP Systems Other Transactional MES
Systems Systems
of sources such as from field sales andmarketing personnel, as
well as fromdownstream customers that share theirdemand forecasting
data or are involvedin co-management inventory programssuch as
Vendor Managed Inventory (VMI)and Collaborative Planning,
Forecasting,and Replenishment (CPFR). To facilitateinformation
collection from remotelocations and external sources such
ascustomers, a "Demand Collaborator" isusually web-based so that
the Internet canbe leveraged to transfer informationaround.
2. Supply-Side Planning Systems: Thesesystem components support
thedevelopment of supply plans that are usedas the supply-side
inputs to the S&OPprocess. As such, they help to generate
theinventory, production, and procurementplans that will be
followed to best meetthe "unconstrained" baseline demandforecasts.
These plans might result insupporting a "constrained" demand
forecast when supply capacity isinsufficient to meet all
expected customerdemand. The role of 'inventory Manage-ment and
Distributed RequirementsPlanning (DRP)" systems is to supportusers
in coming up with the expectedinventory replenishment needs of
finishedgoods warehouses, such as customer-facing warehouses and
the centralizedwarehouses that might replenish them. Inconstrained
supply environments, "Multi-facility Advanced Planning
andScheduling (APS)'" systems are used toproduce more accurate
plans that accountfor limitations in plant and
distributioncapacity, as well as for any short-supplyof components,
materials, and otherproduction resources. "InventoryOptimizer"
systems support these types ofsystems by helping users set
inventorytargets during the S&OP process thatoptimally tradeoff
customer servicetargets against component, material, sub-assembly,
and fmished goods inventories.Lastly, "Supply Collaborator" systems
are
THE JOURJNJAL OF BUSINESS FORXCASTING, 200405 19
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used to capture, assemble and processsupply capabilities from a
variety ofsources such as from purchasingpersonnel and upstream
suppliers,including contract manufacturers. Tofacilitate
information collection fromremote locations and external sources,
a"Supply Collaborator" is usually web-based so that the Internet
can be leveragedto transfer information around.
3. S&OP Workbench: This systemcomponent supports two types
ofinformation needed to be shared duringcross-functional S&OP
meetings. First,using the workbench, generate dash-boards to
display a multitude of metricsthat portray the planned supply
versus"unconstrained" demand situation. Theseinclude supply-side
metrics like expectedplant utilizations, production
capacityshortages, and critical componentshortages/surpluses; as
well as demand-side metrics such as expected unfulfilledcustomer
demand and expected customerorder backlogs. The dashboard
function-ality also allows S&OP participants toquickly conduct
what-if analyses ofpotential changes to the supply and/or thedemand
plans. (Since a complete regene-ration of all supply-demand plans
usuallytakes too long, the what-if analyses cannotinclude a full
run of all the supply anddemand systems, and an incrementalapproach
is usually necessary. Forexample, one Semi-conductor company
Italked to said it took 12-hours to run theirsupply planning
systems certainly toolong to support these types of what-ifanalyses
during an S&OP meeting.) Asecond type information that is
neededduring the S&OP process is how well theprocess itself is
working. Thus, using theworkbench, scorecards of Key Pertbrm-ance
Indicators (KPIs) that reflect howwell the S&OP process has
been workingfoster learning and improvement to theprocess over
time. Some of these KPIsinclude metrics such as demand
forecastaccuracy, variance to the baselineforecast, and adherence
to both the supplyand demand plans previously put in place.
As shown in Figure 1, the demand-
side and supply-side planning systemsneed to be integrated and
synchronized sothat a change in either the demand or thesupply plan
can be quickly reflected in theoverall supply-demand picture.
TheS&OP workbench also needs to beintegrated and synchronized
with theseand other planning components so thatany changes made in
plans during orbetween S&OP meetings can be reflectedin the
workbench's supply-demandpicture, as well.
OFF-THE-SHELFTECHNOLOGY
A large part of the technologyarchitecture described above is
availableas off-the-shelf supply chain planningapplications in the
market today. Much ofit primarily the Demand-Side andSupply-Side
planning components aremarketed by the major ERP softwarevendors
that have bolstered their SupplyChain Management (SCM)
applicationsover the past 5 years, as well as from thespecialty SCM
software vendors that areresponsible for the early innovations
indeveloping and marketing supply chainplanning software.
Off-the-shelf S&OP workbenchfunctionality, however, is less
available. Afew ERP and SCM software vendors arebeginning to offer
some of the off-the-shelf functionality needed.
BusinessIntelligence (BI) software vendorsspecialize in software
that can createmuch of the dashboard and scorecardcapabilities that
are needed as part of anS&OP workbench, but do not
generallyoffer (off-the-shelf) Demand-Side andSupply-Side planning
components.
Do you need all the components ofthe S&OP technology
architecturediscussed above? Probably not. In mythird and last
column of this S&OP series,I will offer a diagnostic toot that
can beused to help you improve your S&OPprocess by assessing
what stage of an"S&OP Maturity Model" your company'sprocess is
currently at, as well as theprocess changes that may need to be
made
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to improve it. And it is these processchanges that will dictate
the types ofenabling technology you would need toput in place.
Remember, businessprocesses dictate the enabling techno-logies that
one needs for supply chainimprovement!
20 THE JOURNAL OF BUSINESS FORECASTING, WINTER 200405
Rafa CarranzaResaltado