sap notes - finals

7/25/2019 Sap Notes - Finals

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UNIT 11 INTRODUCTION TO APO

Introduction to Advanced Planner & Optimizer (APO)

APS Advanced Planning & Scheduling originated with Advanced Manufacturing Research

(AMR) in the early 1990s. t was created !ecause a !reed of software was !eco"ing availa!le

that failed the traditional #RP.

APS syste" hall"ar$s include

a. %ew internal users than #RP syste"s.

!. 'he use of "e"ory resident "odels in addition to traditional MS.

c. Ability to do rapid what-i !imulation

d. Planning at a finer ti"e incre"ent

e. Advanced *ro!le" notification

. Advance optimization al"orithm! !uch a! linear pro"rammin" and heuri!tic!

g. Advanced *lanning and scheduling functionality

APS software solution *roviders

+ SAP

+ , technologies+ Manugistics

+ -racle

SAP AP- is !undled with several other advanced *lanning a**lications into "ySAP SM /.0

a. AP-

!. %orecasting and re*lenish"ent Retail

c. nventory olla!oration u!d. #vent Manager

e. #2tended 3arehouse Mg"t.

So"e functionalities of SAP AP-4 esigning5 'rans*ortation Planning5 -rder Pro"ising and

elivery5 Su**ly hain Perfor"ance Mg"t.

APO A#$%I'$#'


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-6'P -nline 'ransaction Processing Syste"

SAP AP- e"and Planning "odule Su**ly networ$ *lanning

SAP 3 data warehouse

istorical data 7ey *erfor"ance indicators (7Ps)

he tran!action data and ma!ter data rom # are !tored in *$ *ive $ache. he data

low! throu"h an interace called a! the $ore Interace ($I+).

AP- need to *rotect itself fro" any live cache failures. So it !tore! in traditional #,

relational databa!e used for !ac$u* *ur*oses.

ata flows !etween R8 to AP- and !ac$.

APO DEMAND PLANNING

It is used to create a forecast of market demand for your co"*anys *roducts. t allows you to

consider "any different causal factors that affect de"and.

t is a large li!rary of statistical forecasting "odels. usto"ers can create uni:ue forecasting

"odels using a *owerful "acro tool. +oreca!t! created by APO ,P may be relea!ed to APO

Supply etwor/ Plannin" or pa!!ed to #0 or 1#P plannin".

APO UPPL! NET"OR# PLANNING

t is a very good medium term(neither short ter" nor long ter") to get a rough cut *lan for

fulfilling the esti"ated sales volu"es. t integrates *urchasing5 "anufacturing5 distri!ution and

trans*ortation so that a co"*rehensive tactical *lanning and sourcing decisions can !e si"ulated

and i"*le"ented on the !asis of a single5 glo!al consistent "odel. ;ses advanced o*ti"iation

techni:ues.

APO PRODUCTION PLANNING $ DETAIL C%EDULING &PP$D'

PP0,S i! intended to e !hort-term (1+< wee$s) detailed *lanning and scheduling tool.

'he PP portion o PP0,Sis ca*a!le of creatin" inite !upply chain!ta$ing ca*acities

into consideration.

'he ,S portionof PP=S is ca*a!le of creatin" optimized !chedulin" !e2uence!.

PP=S acco"*lishes its *ri"ary "ission !y using various advanced heuristic and linear

*rogra""ing algorith"s.

APO G(o)a( A*ai(a)(e to Promise &GATP'

ad*anced order +romisin, too(-

1. 3e can *lan availa!ility of "aterials across "ulti*le different *lants.

3. Simulation o order! ($apable-to-Promi!e)

8. Rule+!ased order *ro"ising


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APO ran!portation Plannin"0 4ehicle Schedulin" (P04S) intended to optimize the

planning and schedule inbound and outbound freight.

'he ran!portation Plannin" portionof 'P=>S ena!les you to ma/e optimal u!e o the

available capacity o truc/!5 train!5 !hip! and airplane!.

he 4ehicle Schedulin" component o P04S will optimize the delivery route!.

'P=>S utilies advanced linear *rogra""ing algorith"s to acco"*lish its "ission.

>ehicle scheduling co"es u* with lower trans*ort routes.

APO A(ert Monitor

+ t is an advanced "onitoring syste" to detect !upply chain problem! at the earlie!t

po!!ible time.

+ 'he Alert Monitor is ca*a!le of o*erating within all the AP- su!+"odules (P5 S?P5

PPS=S5 'P=>S).+ Alert conditions "ay !e custo"ied !y co"*any or individual user.

@;

'he *ortion of the AP- architecture where the co"*uter "odel resides is called 6ive ache.

'he AP- "odules where forecasting is done is e"and Planning.

AP- "odule used for advanced order *ro"ising is called Blo!al A'P.

'he AP- "odule used for advanced *ro!le" notification is called Alert Monitor.

UNIT 1. T%E CORE INTER/ACE

% the AP- % is used for e2changing data !etween SAP AP- and SAP R=8 syste"s.

% will transfer !oth "aster data and transaction data fro" SAP R=8 to SAP AP- and also fro"

SAP AP- to SAP R=8.

ata *assing "ay !e real+ti"e or !atched.

T0e IT tec0no(o, used for t0e interface is t0e Remote /unction Ca(( &R/C'-

T0e +assin, of t0e data is ena)(ed!y the creation and "aintenance ofInte,ration mode(s-

A(( Inte,ration Mode(s are defined in AP R$2 &0ost sstem'-

1a!ter ,ata ran!er throu"h $I+

'he ma!ter data i! unidirectional+ "oves fro" R=8 to SAP AP-.


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AP- Master data 6ocation Master5 Product Master5 Resource Master5 PPM or R'- "aster etc.

ran!action ,ata ran!er throu"h $I+Most transaction data can low in both direction! Planned orders can !e created in R=8 and

can !e used as in*ut in SAP AP- for *roduction *lanning and detailed scheduling.

Planned orders could also !e created within AP- Su**ly networ$ *lanning to R=8 for further

*rocessing.

AP R$2 +(annin, and e3ecutionbut SAP APO can only be u!ed or plannin".

AP APO cannot )e used for e3ecution +ur+oses-

Inte"ration 1odel!

Multi*le integration "odels will !e used in connecting SAP R=8 to AP-. #ach "odel will

transfer data.

Inte,ration mode(s are a(4as defined in t0e AP R$2 sstem-

AP-+relevant "aster data=transaction data is selected in the active integration "odels of the %.

All the "aterial "asters of a *lant are *assed through the integration "odels to SAP AP-. 'he

integration "odel "ust !e active.

MATER DATA MAINTENANCE

Any "aster data originated in SAP R=8 is "aintained in SAP R=8 and any "aster data uni:ue in

AP- will !e "aintained in AP-.

e(ectin, APO P(anned Materia(s

An materia( master 40ose MRP t+e is 56 is +(anned in t0e APO sstem-

Models in AP-

All Master ata transferred using the % is auto"atically assigned to "odel 000 (Active "odel)

in live cache.

'herefore "odels in AP- contain "aster data. Since AP- "ay !e used for si"ulation or what+if

*lanning5 other "odels "ay !e created that contain "aster data different fro" the "odel 000

(active "odel).


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>ersions in AP-

All transaction data is transferred to AP- through the % is stored in >ersion 000 (Active

version). #2a"*les of transaction data would !e forecasts5 sales orders etc.

A(( master data is stored in Mode(s and a(( transaction data is stored in 7ersions-

All transaction data transferring fro" AP- to R=8 "ust !e stored in >ersion 000.

UNIT 12 MATER DATA &16 8uestions fina(s'

'he "aster data o!Cects in SAP AP- have different na"es fro" their SAP R=8 counter*arts. %or

e2a"*le5 the Material Master in R=8 is na"ed Product Master in AP-.

AP- has "any other "aster data fields that do not have counter*arts in R=8. 'hese "aster data

fields are needed to *erfor" the APS functionality that does not e2ist in R=8.

Plant5 $u!tomer and Supplierfro" R=8 !eco"es *ocation 1a!ter in APO.

1aterial ma!ter rom #0is called as the Product 1a!ter in APO.

6or/ center!!eco"e re!ource ma!ter!.

#outin"0O1 ma!ter!eco"es PPM or R'- Production Proce!! 1ar/!

Trans+ortation (anes in APO do not 0a*e a counter+art in R$2-

Purc0asin, Info Record and c0edu(in,A,reement !eco"es Procurement Re(ations0i+ in

APO-

LOCATION MATER

rucial for SM !ecause it is the !uilding !loc$ for so "any other relationshi*s.

a. Plant5 usto"er5 Su**lier and "any others fro" R=8 are housed in AP- 6ocation Master.

6ocation ty*e will distinguish !etween the different location "asters. n AP- we can have

several calendars !ut in R=8 we can have only one calendar.

ran!portation *ane

t does not have an R=8 counter*art


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efines all valid trans*ortation "ethod !etween two locations.

'6s "ay !e defined for all *roducts "oved !etween two locations or "ay !e s*ecific to a

*roduct.

I no * e7i!t!5 then one location can8t be a !ource o !upply to the other . '6 "ay define

"ulti*le valid trans*ortation "eans (truc$5 rail5 air) along with trans*ortation ti"e and costAP- sourcing algorith"s will e2a"ine the '6 for cost and ti"e data to deter"ine the

o*ti"u" "ethod.

9uota Arran,ement

,etermine! the !ource and 2uantity demanded when !everal po!!ible !upplier! are

available.

It e7i!t! in #0 but are not u!ed in APO.

'hey are defined for all *roducts sourced fro" a location or it "ay !e *roduct s*ecific.

Product s*lits "ay !e defined as

a. %i2ed s*lit

!. eter"ined !y a heuristic algorith"

c. eter"ined o*ti"ally and then re"ain fi2ed.

If t0ere is on( one source of su++(: t0en no 8uota arran,ement is needed-

Product 1a!ter

'he AP- *roduct "aster is the direct e:uivalent of the R=8 Material "aster.

he product ma!ter will al!o contain data element! that do not e7i!t in #0. 'hey areA. Penalty co!t! the!e relect the relative co!t o mi!!in" an order due date.. Storage costs the relative cost of storing a *roduct

. Bood recei*t=issue costs

'hese costs are used to influence the -*ti"ier *rogra" in Su**ly ?etwor$ Planning.

Production Data tructure

Standard Solution (as of SAP AP- D.1) for

a. >ariant configuration!. #ngineering hange Manage"ent (ate effectivities)

PP1 wor/! or 1a!ter #ecipe! and $o-product! but not or 'n"ineerin" $han"e

1"mt. and variant coni".


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asis for integrated *roduct and Process #ngineering (iPP#) as the "anufacturing "aster data

a. -M

!. Routing

c. 6ined. Reci*e

T4o t+es of PD

9. P,S or SP will contain critical material! and re!ource!.

3. P,S or PP0,S will contain all material! and re!ource!.

@;

1. A *urchasing info record in R=8 that *asses through the core interface will auto"atically

create what AP- Master data o!Cect.

Answer Procurement relation!hip and ran!portation lane.,. 'he AP- "aster data o!Cect that co"!ines the R=8 -M and routing together is

Answer Production ,ata Structure (P,S)8. 'he AP- "aster data o!Cect that defined a valid sourcing relationshi* is

Answer Procurement relation!hip

UNIT 1; DEMAND PLANNING


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T!PICAL INDUTR! /ORECATING PROCE

;*date istory Auto"atically generate forecast+Review=orrect forecast Reach onsensus

forecast A**rove forecast.

#le"ents of a good forecast

a. Timely

b. "eliable

c. %ccurated. Meaningful

e. 'ritten

f. asy to use

A++roac0es to /orecastin,

a. ualitative method su!Cective in*uts (E;B#M#?'A6 consu"er surveys5 sales

staff="anagers=e2ecutives=e2*ert *anels)

Su!Cective in*uts soft info (hu"an factors5 *erson o*inion5 hunch)

t is hard to :uantify!. uantitative Method o!Cective or hard data ('M# S#R#S uses historical data

assu"ing the future will !e li$e the *ast)ProCection of historical data. A!!ociative model!utiliing e2*lanatory varia!les

'i"e series forecast ti"ed ordered se:uence of o*erations

'rend long ter" u*ward=downward "ove"ent in data.

Seasonality + short+ter" regular variations in data ycle wave+li$e *attern of "ore than one years duration

rregular >ariations caused !y unusual variations

Rando" variations caused !y chance

'echni:ues for Averaging

istorical data has white noise or variation

Averages s"ooth variations

8 techni:ues

a. Moving average!. 3eighted "oving average

c. #2*onential s"oothing

1ovin" Avera"e!


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'echni:ue that averages a nu"!er of recent actual values5 u*dated as new values !eco"e

availa!le. 'he "ore ti"e *eriod we average5 the less res*onsive the "oving average is to the

actuals. t "ay !e good or !ad de*ends on the *roduct and the *rofit "argins. So"eti"es it gives

you a *rotection during uncertainties.

6ei"hted 1ovin" Avera"e:

More recent values in a series are given "ore weight in co"*uting the forecast.

'7ponential Smoothin":

ased on *revious forecast *lus a *ercentage of the forecast error.

A(+0a smoot0in, factor is ,reater t0an or e8ua( to >ero )ut (ess t0an or e8ua( to 1-

*ow %lpha + stable average

,igh %lpha + -hanging average


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UNIT 1@ APO DEMAND PLANNING &11 8uestions fina(s'

+le7ible plannin" in #0 u!e! *IS *o"i!tic! Inormation Sy!temwhere we store our

historical data.

+oreca!tin" in APO ,emand plannin" would be u!in" u!ine!! 6arehou!e (6) as a

source to store the historical data.

3 infrastructure is integral with AP- P.

#2ce*tion handling is integrated and you can design your own alerts.

Planning is !ased on the "ain "e"ory. %le2i!le navigation in the plannin" table5 varia!le drill+

down. #na!les colla!orative *lanning and evaluation5 li$e "odelling. 3ide range of forecasting

techni:ues.

e"and Planning -M.

3hat influences the %orecastF

Sales5 Price and Ad Manufacturer

Pro"otions5 Price and Sales istri!utor


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Season5 3eather usto"er

ARA'#RS'

n AP- P5 a c0aracteristic is an or,ani>ationa(: or master data fie(d-%or e25 "aterial

(*roduct)5 *lant5 custo"er5 or sales organiation.

C0aracteristics are used to determine t0e (e*e( at 40ic0 ou are forecastin,. AP- P has a

!uilt+in li!rary containing "any co""only used characteristics. usto"er uni:ue characteristics

can also !e created.

> + haracteristic >alue o"!inations4 $4$! are !tored in Plannin" Ob;ect Structure

(POS). $4$! repre!ent the ma!ter data or APO ,P.

istorical data is stored in the AP- 3 info cu!e and is organied !y di"ensions

(characteristics). -nce historical data is stored5 it "ay !e analyed to create historical facts of

characteristic co"!inations.

APO u!ine!! 6arehou!e (6)

nfo cu!e contains two "aCor ele"ents info cu!e is a "ulti+di"ensional "ini data warehouse.

a. ,imen!ional table! these ta!les contain location5 *roduct hierarchy5 region etc.!. %i!torical data inco"ing order5 :uantities and values of invoices etc.

nfou!es are used for storingg actual data fro" -6'P syste"s in AP-.

%orecasting Methods availa!le

a. ;nivariate (statistical) only one inde*endent varia!le availa!le and forecast is done.

!. Multi*le 6inear Regression "ore than one inde*endent varia!le. (M6R)c. o"*osite


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t is used to *erfor" a *articular !usiness function. t also defines how we organie the colu"ns

!y wee$5 "onth etc.

Plannin" Area! $haracteri!tic! and


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a. Moving avg.

!. onstant "odels5 trend "odels.

c. #2*onential s"oothingd. rostons "ethod s*oradic de"and

e. Auto"atic selection

f. Seasonal linear regressiong. 'he olt+3inters "ethod.

1a!ter +oreca!tProile It tell! demand plannin" how to oreca!t. ,einition o the /ey

i"ure to be oreca!t. ,einition o the pa!t and oreca!t horizon!. Procedural s*ecification for

the following forecasting ty*es4 ;nivariate5 Multi*le 6inear regression5 o"*osite.It indicates

40at statistica( met0ods to use-

1ultiple *inear #e"re!!ion (1*#)

AP- P su**orts Multi*le 6inear Regression as a forecasting techni:ue.

M6R is used to deter"ine how a de*endent varia!le such as sales5 is connected with inde*endent

varia!les called casual varia!les5 such as *rices5 advertising and seasonal factors.

$ollaborative +oreca!tin" cu!tomer! will view your !tati!tical oreca!t and can "ive

eedbac/ on whether it i! too hi"h or too low.'he result can !e i"*roved forecast accuracy.

olla!orative *lanning re:uires a strong !usiness relationshi* !etween trading *artners and "ost

of 'R;S'.

$on!en!u! a!ed +oreca!tin"

t "ay !e *erfor"ed various ways including4

+ ifferent *lanning !oo$s for different forecasting organiations

- $on!en!u! oreca!tin" bu!ine!! meetin"! where all partie! participate in arrivin" at

the be!t po!!ible oreca!t.

Alert 1onitor

t "ay !e used to send alerts regarding i"*ortant a!nor"al situations.

%or e"and Planning5 the i"*ortant a!nor"ality is a forecast error that e2ceeds a *re+defined

threshold level.

Alerts "ay !e delivered via several "edia including e"ail.

P6M

%orecasting the de"and for new *roducts is difficult due to lac$ of historical data.

%orecasting the end+of+life *roducts can also !e done.

Promotional Plannin" It can be created to apply pattern! to the demand oreca!t. 'he

*atterns can !e stored in the *ro"otion *attern li!rary and used5 as re:uired ("ulti*le ti"es).


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'he function is also availa!le to detect *ro"otion *atterns in historical data and to create

*ro"otion *atterns !ased on the".

@ui

A *lanning o!Cect structure in AP- P will store haracteristics and >.

haracteristics are "ade u* fro" -rganiational data ele"ents and Master ata ele"ents.

+oreca!t proile in APO ,P indicate! what !tati!tical oreca!t method to u!e.

UNIT 1? RELEAING T%E DEMAND PLAN

%fter the &P has been approved1 it must be released for operations planning.

After the release *rocess5 the forecast re:uire"ents will !e classified as *lanned inde*endent

re:uire"ents (PR).

'he forecast release will al"ost always contain D !asic *ara"eters4

a. Product

!. 6ocation

c. @uantityd. 'i"e

MRP in R=8 or S?P in AP- "ay act on PRs to create re*lenish"ent *lanned orders.

APO re(ease arc0itecture

+ 'i"e series ($ey figures) to -rder o!Cects (ategory %A).- ime buc/et proile! are u!ed to create planned independent re2uirement!.

+ 'he location shi**ing calendar is used to deter"ine wor$days.

+ 6ocation s*lit and Product s*lit.

+ aily !uc$et *rofile when the P storage !uc$ets *rofile does not contain days.

UNIT 1B UPPL! NET"OR# PLANNING &11 8uestions in fina( e3am'

Part A

ntroduction to Su**ly ?etwor$ Planning

t is an intermediate time rame plannin" unction. ts *ri"ary *ur*ose is to create a good

rough+cut su**ly *lan across the entire su**ly chain. t can u!ed or either inite or ininite

capacity plannin".

'hree se*arate and uni:ue re*lenish"ent *lanning engines are !undled into S?P4

'hey are


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a. euristic

!. a*a!le+to+Match ('M)

c. -*ti"ier

n addition to su**ly and de"and "atching5 S?P is ca*a!le of *erfor"ing two additional su**ly

"anage"ent functions.

a. e*loy"ent

!. 'rans*ortation 6oad uilder

Production %orizon

- t is a given nu"!er of days relative to todays date and any date that ari!e! "reater

than thi! horizon i! ta/en care by Supply etwor/ Plannin".

- Anythin" in!ide o production horizon i! ta/en care by PP0 ,S.

SP Proce!! +low

Release the de"and *lan + *erfor" an S?P heuristic run5 o*ti"iation run or 'M run Review*lan= solve *ro!le"s %inalie the S?P *lan ("a$e availa!le to PP=S) Release the feasi!le

S?P *lan to P Run e*loy"ent Run '6 Manually *rocess unconverted de*loy"ent

stoc$ transfers.

NP PLANNING ENGINE

1edium to *on"-term Plannin" Strate"ie!

+ Ininite plannin" %euri!tic4 Resources and "aterial availa!ility are not chec$ed when

creating *lanned orders and stoc$ transfers.

+ +inite Plannin" $apable-to-match ($1) and optimizer4 Si"ultaneous :uantity and

finite ca*acity scheduling4 S?P resources and "aterial availa!ility are chec$ed duringcreation of orders.

Short-term #epleni!hment Plannin" (,eployment)

+ %euri!tic and Optimizer:AdCust stoc$ transfers according to the current de"and and

recei*t situation.

+ ran!port *oad uilder (*):Brou*s together stoc$ transfers.

S?P architecture

Planning Area holds haracteristics and 7ey figures.

Master *lanning o!Cect structure holds S?P characteristics and P characteristics5 Aggregates.

he APO ,P !tore! it! oreca!t in ime Serie! *ive $ache.

ata view is a su!set of a wor$!oo$.

-rder !ased live cache All tran!action data i! !tored a! order! in the order live cache.

A'P categories are used to differentiate orders.


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A'P categories can !e grou*ed together into A'P category grou*s.

PART < APO u++( Net4ork P(annin,'he role of heuristic *lanning is to *lan the su**ly to "eet de"and throughout the entire su**ly

chain.

euristic *lanning is a :uantity+!ased *lanning. t will create a su**ly :uantity for a s*ecific

ti"e *eriod regardless of the actual order :uantities.

S?P heuristic *lans in a level+level *lanning "ethod si"ilar to MRP in SAP R=8.

%euristic +(annin, assumes infinite ca+acit 40en+(annin,.

Sourcin" deci!ion! (that i!5 what location! !hould be u!ed a! !upplie!) i! driven primarily

by 2uota arran"ement!.

S?P creates *lanned orders and stoc$ transfers in the networ$.

9uota Arran,ements in %euristic

Inbound 2uota arran"ement!control di!tribution o demand!.

Outbound 2uota arran"ement!control di!tribution o receipt!.

'here are :uota arrange"ents for individual *roducts and selections.

e"ands can !e s*lit ("in :uantity) and grou*ed together for ti"e *eriods.

'he following can !e included in a :uota arrange"ent4

a. #2ternal *rocure"ent

!. Stoc$ transferc. n+house *roduction

Other APO 1a!ter data u!ed in %euri!tic

'rans*ortation lanes valid "ove"ents in the su**ly chain.

@uota arrange"ents *ercentage assign"ent of de"ands to sourcing locations

6ot Siing lot for lot5 fi2ed5 target days su**ly5 *rofiles5 rounding values.alendar5 Safety stoc$5 scra* and PPM.

I tran!portation! lane! are e2ual and there are no 2uota arran"ement!5 then we co"*are

the *roduct cost through PPM and choose the lowest *rice.

% :uota arrange"ent is defined5 heuristic will not use trans*ortation lane or PPM.

NP CAPACIT!


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t is !ased on the a!!umption that re!ource! have an ininite capacity.

After the S?P euristic run is co"*lete5 the *lanner can "a$e a ca*acity chec$5 which allows

the *lanner to see the i"*act that *lanned orders will have on resources and to :uic$ly deter"ine

whether or not the *lan is feasi!le.

f ca*acity overload5 an alert is dis*layed.

'he *lanner can decide how to "odify the *roduction *lan to "eet de"and !efore actually going

into *roduction.

CAPACIT!


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Constraints

$on!traint! repre!ent realitie! that e!!entially bound the !olution option! to that the

re!ult i! ea!ible.

#2a"*les include4

a. e"ands "ust !e "et

!. annot e2ceed ca*acityc. Storage ca*acity is li"ited

?on+6inear Progra""ing 3hen the o!Cective function is a non+linear function.

Mi2ed+nteger 6inear *rogra""ing (M6P)

Mi2ed+nteger non+linear *rogra""ing (M?6P)

SAP APO !upport! *P and 1I*P problem!.

APO NP OPTIMIER

'he -*ti"ier or solver in AP- S?P uses 6P to consider all relevant factors si"ultaneously.

SAP ha! an embedded rdparty !olver I*O> $P*'into the SAP syste". 'he o*ti"ier

co"*ares alternative solutions using costs that would !e incurred.

Most cost+effective solutions chosen !ased on constraints and o!Cective function defined in the

syste".

Penalty co!t! are u!ed to prioritize demand!. I a product brin"! hi"h !ale! revenue!5 you

!et hi"h penalty co!t!.

Result due dates are violated or that safety stoc$s are not re*lenished.

ost "ay include4 *roduction cost (PPM)5 storage costs (*roduct "aster) and *enalty costs

(*roduct "aster).

Ca+a)(e to Matc0 &CTM'

t is an order?)ased +(annin, met0od- #very single sales order or *lanned PR is *lanned

se*arately.


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'M uses demand prioritie!as the *ri"ary !asis *erfor"ing su**ly networ$ *lanning.

$1 doe!n8t perorm optimization. It terminate! when it ind! the ir!t ea!ible !olution to

the problem.

e"and *riorities "ay !e defined using "ulti*le "ethods consistent with cor*orate *olicy or

culture.

$1 proce!! include! ,emand Prioritization and Supply $ate"orization.

PART D UPPL! NET"OR# PLANNING

Safety stoc$ *lanning

'he uncertainties occur during *lanning

a. e"and uncertainty (forecast)!. Re*lenish"ent lead ti"e

Safety stoc$ can !e used to safeguard against these uncertainties.

a. Maintaining the safety stoc$ "anually in the *roduct "aster!. alculate the ti"e+inde*endent safety stoc$ in an S?P $ey figure in the nteractive

Planning 'a!le.

c. reate a "odel inde*endent safety stoc$ to achieve a certain custo"er service level.

APO NP +ro*ides more so+0isticated safet stock +(annin, t0an R$2-

Model+de*endent Safety stoc$

a. 'he service level (S6) of the *roduct "aster is used to deter"ine the safety factor.

!. nfor"ation fro" trans*ortation lanes and PPMs is used to calculate the re*lenish"ent

lead ti"e (R6').

De+(oment

%air+share rule.

Actual de*loy"ent orders are created in R=8.


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Trans+ortation Load


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UNIT 1= UPPL! C%AIN ENGINEER

APO S$' i! a convenient "raphical toolthat allows custo"ers to gra*hically view and edit

their AP- "aster data o!Cects.

'he S# allows a custo"er to create a filter containing those "aster data o!Cects that are under

his res*onsi!ility. 'he resulting iltered ma!ter data ob;ect! i! called a!"ork AreaF-

Master data is stored in Model 000.

3or$ Area *rovide a convenient way to filter the "aster data.

Access to fre:uently used o!Cects.

+ ;sed for re:uests

+ Serve as filters

+ onfigured for users

@ui

1. 'he su**ly chain engineer is used *ri"arily to view and "anage Master data

,.


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a. Pro;ect preparation

b. u!ine!! blueprint

c. #ealization

d. +inal preparation

e. >o live & !upport

Pro;ect Preparation

Beneral conditions for i"*le"enting the *roCect successfully.

t will include4

a. &efining the goals and ob2ectives of the pro2ect.b. stablishing the pro2ect organization

c. -reating the pro2ect plan

d. &etermining the pro2ect standard procedurese. Training the pro2ect team

f. Setting up the S%P $ +system landscape

g. -reating a communication plan for the pro2ecth. Ta0e certain benchmar0 measurements

u!ine!! blueprint

t is a critical *hase of "ethodology. %ailure to ta$e ade:uate ti"e to lac$ of fwd. thin$ing in this

*hase will increase ris$ of overall *roCect.

#ealization t will !egin the i"*le"entation of the functional re:uire"ents defined in the

!lue*rint *hase.

a. $oni"urin" the SAP !y!tem

b. Settin" up the te!t environment

c. Settin" up the !ecurity0admin

d. Settin" up any wor/low proce!!e!

e. 6ritin" te!t !cript!

>o live and !upport

'his *hase will launch the new a**lication and *rovide the necessary su**ort for a *eriod of ti"e

re:uired to achieve institutionaliation

Activities include4

a. 'nd u!er re-trainin"

!. Software trou!le call su**ort

c. Software de+!ug su**ortd. onfiguration re+setting

sap notes - finals

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