Valu

atio

n S

tabi

lity

in S

RT

1 no

n va

lued

Patte

rson

, Pw

C, 1

1.10

.200

0

NO

N-Z

RH

1 va

lued

Patte

rson

, Pw

C, 1

1.10

.200

0

ASS

Y

ZR

H:W

/S:

Day

1: 1

val

ued,

1 su

bass

yD

ay 2

: 0((

Day

3: 1

non

val

ued

Day

4: 0

Day

5: 1

val

ued.

..))

ZR

H

I/0

PRO

GR

AM

: RM

MM

BE

ST

I/0

A/C

I/0

AL

L N

ON

-ZR

H +

NO

T-IN

STA

LL

ED

* D

ay 1

3 va

lued

7 no

n va

lued

4 su

bass

y

NO

N-Z

RH

+ IN

STA

LLED

: A/C

= A

ircra

ft SL

OC

NO

N-Z

RH

+ IN

STA

LLED

: ASS

Y =

Ass

embl

ies S

LOC

NO

N-Z

RH

+ N

OT-

INST

ALL

ED :

G*

= G

enev

a SL

OC

S

NO

N-Z

RH

+ N

OT-

INST

ALL

ED: K

D*/

FTK

*/SF

K*:

Flig

ht K

its (T

ypes

K0*

, FTK

*, S

FK*)

SLO

CS

NO

N-Z

RH

+ N

OT-

INST

ALL

ED:

B*/

S* =

Bra

nch

Stor

e an

d Li

ne S

tatio

n SL

OC

S

1 suba

ssy

1 no

n va

lued

Wer

k 91

00

Wer

k 10

00

AL

L N

ON

-ZR

H +

NO

T-IN

STA

LL

ED

* D

ay 2

4 va

lued

5 no

n va

lued

5 su

bass

y

AL

L N

ON

-ZR

H +

NO

T-IN

STA

LL

ED

* D

ay 2

3 SR

T St

ock

7 C

UST

Sto

ck4

suba

ssy

if no

man

ual t

rans

fer p

ostin

gs a

rem

ade

in 9

100

AL

L N

ON

-ZR

H +

NO

T-IN

STA

LL

ED

* D

ay 2

4 SR

T St

ock

5 C

UST

Sto

ck5

suba

ssy

if ye

s man

ual t

rans

fer p

ostin

g+s a

rem

ade

in 9

100

AL

L N

ON

-ZR

H +

NO

T-IN

STA

LL

ED

* D

ay 1

3 SR

T St

ock

7 C

UST

Sto

ck4

suba

ssy

if no

man

ual t

rans

fer p

ostin

gs a

rem

ade

in 9

100

Blo

ckin

g C

onsu

mpt

ion

Post

ings

for N

on V

alue

d M

ater

ials

(def

erre

d to

trai

ning

who

is su

ppos

ed to

inst

ruct

user

s not

to p

ost c

onsu

mpt

ion

for 2

/6)

•R

isk:

The

re is

a ri

sk th

at u

sers

will

man

ually

pos

t aco

nsum

ptio

n fo

r a v

alue

d m

ater

ial m

ater

ial.

This

wou

ld d

amag

e th

e va

lidity

of t

he S

ollb

esta

nd’s

repr

esen

tatio

n of

the

valu

atio

n da

ta o

f SRT

irrep

arab

ly.

•O

ptio

n1: F

or a

ll ro

tabl

es a

nd re

paira

bles

(SPC

2/6

):G

BB

-VB

R A

ccou

nt A

ssig

nmen

t. W

e w

ould

requ

irene

w v

alua

tion

clas

ses f

or a

ll ro

tabl

es a

nd re

paira

bles

and

expe

ndab

les:

whe

n th

e m

ater

ial m

aste

rs a

recr

eate

d fo

r non

val

ued

thei

r new

cor

resp

ondi

ngva

luat

ion

clas

ses o

nly

for t

hat v

alua

tion

leve

l of t

hem

ater

ial.

•O

ptio

n 2:

Writ

e va

lidat

ion

rule

for n

on v

alue

dco

nsum

ptio

n po

stin

gs. A

naly

sis:

Not

pos

sibl

e: N

oac

coun

ting

docu

men

ts c

reat

ed fo

r non

val

ued

cons

umpt

ion

post

ings

.•

Opt

ion

3: W

ritte

n va

lidat

ion

rule

for m

ater

ial l

edge

rup

date

. See

ms p

ossi

ble,

sinc

e m

ater

ial l

edge

r is

upda

ted

for n

on v

alue

d co

nsum

ptio

n po

stin

gs.

•Pr

os, C

ons O

ptio

n 1

–C

ons:

Doe

s not

com

plet

ely

solv

e th

e pr

oble

msi

nce

this

mer

ely

perm

its th

e ac

coun

ting

docu

men

t to

be c

reat

ed, w

hich

is th

ere

quire

men

t for

Opt

ion

2.–

Pros

: If t

his i

s don

e ho

wev

er, t

hen

optio

n 2

can

be a

chie

ved

beca

use

ther

e w

ill b

e an

acco

untin

g do

cum

ent o

n w

hich

to b

uild

ava

lidat

ion

rule

.–

Con

s: M

ater

ial c

reat

ion

will

be

mad

e no

t mor

eco

mpl

ex b

ut A

O 1

81 w

ill h

ave

to b

e al

tere

d to

incl

ude

the

diffe

rent

val

uatio

n ty

pes f

or n

onva

lued

leve

ls o

f the

mat

eria

l.–

Pros

, Con

s Opt

ion

2–

The

sam

e as

for O

ptio

n 1,

sinc

e O

ptio

n 2

cann

ot o

ccur

with

out t

he su

cces

s of O

ptio

n 1,

and

the

goal

to b

lock

con

sum

ptio

n of

SPC

2/6

can

only

be

done

thro

ugh

Opt

ion

1 if

we

cann

ot d

o it

with

Opt

ion

3.–

Pros

, Con

s Opt

ion

3–

If it

will

wor

k, n

one

appa

rent

on

first

look

.

Valu

atio

n S

tabi

lity

in S

RT:

Var

iant

= S

tock

Cut

over

: Pos

ting

Inve

ntor

y D

iffer

ence

sbe

twee

n M

CS

and

SAP

R/2

in S

tock

Qty

and

Val

ue C

utov

er to

the

SAP

R/3

Sys

tem

Patte

rson

, Pw

C, 1

1.10

.200

0Pa

tters

on, P

wC

, 11.

10.2

000

A

Wer

k 91

00 R

/3: E

QU

I-C

HA

RG

= S

RT S

tock

, Cus

t Sto

ck

Sollb

esta

nd R

/2: R

/2-F

IELD

= v

alue

d

B

Wer

k 10

00 R

/3: E

QU

I-C

HA

RG

= v

alue

d, n

on v

alue

d

Istb

esta

nd M

CS:

MC

S-FI

ELD

= n

on v

alue

d

If A

> B

, the

n po

st in

vent

ory

diff

eren

ces t

o L

GO

RT

9999

Wer

k 91

00 a

nd d

o no

thin

g in

Wer

k 10

00 -

with

BW

AR

T56

1 se

rial

ized

equ

ipm

ents

will

be

crea

ted

in th

e ba

ckgr

ound

for

MPN

s with

a se

rial

pro

file.

If B

> A

, the

n po

st in

vent

ory

diff

eren

ces t

o L

GO

RT

9999

Wer

k 10

00 a

nd d

o no

thin

g in

Wer

k 91

00 -

with

BW

AR

T X

61 se

rial

ized

equ

ipm

ents

will

be

crea

ted

in th

e ba

ckgr

ound

for

MPN

s with

a se

rial

pro

file

but

Sollb

esta

nd 9

100

will

not

be

upda

ted.

ZMM

BE

(=M

S651

)!!!

!!!!

!

Tabl

e

Z

MB

WA

RT

D

ate

30.0

1.01

D

escr

iptio

n

M

ovem

ent t

ypes

in p

lant

100

0 an

d th

eir e

quiv

alen

t in

910

N

umbe

r of e

ntrie

s 2

8

M

vT

MvT

MvT

M

vT

101

90

9

102

91

0

161

95

3

162

95

4

261

95

3

262

95

4

301

95

3

302

95

4

551

95

3

552

95

4

553

95

3

554

95

4

555

95

3

556

95

4

561

90

9

562

91

0

601

95

3

602

95

4

623

95

3

624

95

4

633

95

3

634

95

4

901

90

9

902

91

0

907

90

9

908

91

0

973

95

3

974

95

4

ZMTB

WA

RT: M

aint

enan

ce C

usto

miz

ing

Tran

sact

ion

for C

usto

miz

ing

Tabl

e ZM

TBW

ART