qmss - quality function deployment...
TRANSCRIPT
P
rof.
Dr.
Lig
gesm
eyer
, 1Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Qu
alit
y M
anag
emen
t o
f S
oft
war
e an
d
Sys
tem
s
Qu
alit
y F
un
ctio
n D
eplo
ymen
t (Q
FD
)
P
rof.
Dr.
Lig
gesm
eyer
, 2Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Co
nte
nts
Mot
ivat
ion
Fun
dam
enta
l ide
a of
QF
D
Pro
cedu
re c
once
rnin
g th
e ap
plic
atio
n of
QF
D
Invo
lved
per
sons
and
goa
ls c
once
rnin
g Q
FD
Ana
lysi
s of
cus
tom
er r
equi
rem
ents
The
Hou
se o
f Qua
lity
Dev
elop
men
t-ac
com
pany
ing
QF
D
Cas
e st
udy
mea
surin
g/m
easu
rem
ent t
ool
P
rof.
Dr.
Lig
gesm
eyer
, 3Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Mo
tiva
tio
n
Ens
ure
Tha
t the
cus
tom
er r
equi
rem
ents
ent
er th
e de
velo
pmen
t pro
cess
as
clea
rly
iden
tifie
d re
quire
men
ts
Tha
t the
y ar
e co
nseq
uent
ly r
ealiz
ed th
ere
up to
impl
emen
tatio
n de
tails
Dev
elop
men
t of q
uant
ifiab
le, c
heck
able
targ
et v
alue
s fo
r th
e de
velo
pmen
t on
the
basi
s of
cus
tom
er r
equi
rem
ents
Pos
sibi
lity
to tr
ace
back
eve
ry d
ecis
ion
to a
cor
resp
ondi
ng c
usto
mer
re
quire
men
t
Tra
ditio
nal a
ppro
ach
As
few
faul
ts/e
rror
s/de
fect
s as
pos
sibl
e
On
sche
dule
Hig
h te
st c
osts
The
pro
duct
will
be
less
bad
P
rof.
Dr.
Lig
gesm
eyer
, 4Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Mo
tiva
tio
n
App
roac
h Q
FD
Pre
vent
ive-
orie
nted
qua
lity
man
agem
ent
Ser
ving
the
purp
ose
Ful
fillm
ent o
f cus
tom
er e
xpec
tatio
ns
P
rof.
Dr.
Lig
gesm
eyer
, 5Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Mo
tiva
tio
nP
rob
lem
s w
ith
th
e P
rod
uct
Dev
elo
pm
ent
Res
ourc
es a
re s
carc
e in
prin
cipl
e
Cus
tom
er r
equi
rem
ents
ent
er th
e de
velo
pmen
t pro
cess
with
out t
he
taki
ng p
lace
of a
con
trol
led/
dire
cted
alig
nmen
t/orie
ntat
ion
of th
e de
velo
pmen
t pot
entia
ls
In th
e de
velo
pmen
t pha
ses
capa
citie
s ar
e us
ed in
pos
ition
s w
hich
cann
ot c
lear
ly o
r of
ten
only
intu
itive
ly b
e as
sign
ed to
a r
equi
rem
ent o
n th
e pa
rt o
f the
cus
tom
er
P
rof.
Dr.
Lig
gesm
eyer
, 6Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Fu
nd
amen
tal I
dea
of
QF
D
Sys
tem
atic
app
licat
ion
of th
e re
sour
ces
in th
ose
posi
tions
whi
chen
sure
the
fulfi
llmen
t of t
he m
ost i
mpo
rtan
t cus
tom
er r
equi
rem
ents
.
++
++
++
++
++
++
++
++
++
++
++
+
+
anal
ysis
desi
gnco
ding
test
mea
n s
oft
war
ean
alys
isde
sign
codi
ngte
st
exce
llen
t so
ftw
are
mo
st im
port
ant
cust
omer
req
uir
emen
ts"b
est e
ffo
rts"
++
+
P
rof.
Dr.
Lig
gesm
eyer
, 7Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Pro
ced
ure
co
nce
rnin
g t
he
Ap
plic
atio
n o
f th
e Q
FD
Iden
tific
atio
n of
cus
tom
er r
equi
rem
ents
Wei
ghtin
g of
cus
tom
er r
equi
rem
ents
Wei
ghte
d cu
stom
er r
equi
rem
ents
pas
sed
on to
the
phas
es o
f the
so
ftwar
e de
velo
pmen
t pro
cess
whe
re th
ey a
re h
andl
ed a
nd r
ealiz
ed
P
rof.
Dr.
Lig
gesm
eyer
, 8Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Invo
lved
Per
son
s an
d G
oal
s co
nce
rnin
g Q
FD
Tea
m c
onsi
stin
g of
the
mem
bers
of t
he in
divi
dual
dev
elop
men
t pha
ses
(e.g
. m
arke
ting,
dev
elop
men
t, qu
ality
ass
uran
ce)
Per
sons
who
can
pro
vide
impo
rtan
t inf
orm
atio
n fo
r th
e pr
oduc
t des
ign
in th
e cu
rren
t pha
se
Sup
port
of t
he c
oord
inat
ion
of a
ll un
its in
volv
ed in
the
deve
lopm
ent p
roce
ss
Goa
ls Wor
king
out
of o
bjec
tives
for
the
deve
lopm
ent a
nd q
ualit
y as
sura
nce
base
d on
the
cust
omer
req
uire
men
ts
Tra
cing
of t
he r
ealiz
atio
n of
cus
tom
er r
equi
rem
ents
thro
ugh
all d
evel
opm
ent p
hase
s up
to im
plem
enta
tion
deta
ils
Avo
idan
ce o
f too
com
plex
sof
twar
e re
sp. n
ot u
ser-
orie
nted
sof
twar
e
Ear
ly id
entif
icat
ion
of r
isks
whi
ch a
re o
ther
wis
e of
ten
dete
cted
durin
g or
afte
r th
e im
plem
enta
tion
phas
e
Red
uctio
n of
dev
elop
men
t tim
e
P
rof.
Dr.
Lig
gesm
eyer
, 9Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
An
alys
is o
f C
ust
om
er R
equ
irem
ents
P
rof.
Dr.
Lig
gesm
eyer
, 10
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
An
alys
is o
f C
ust
om
er R
equ
irem
ents
Ste
ps Seg
men
tatio
n of
cus
tom
er g
roup
s on
the
basi
s of
diff
eren
t cha
ract
eris
tics
(1)
Det
erm
inat
ion
of ta
rget
gro
ups
base
d on
this
seg
men
tatio
nD
eter
min
atio
n of
cus
tom
er r
equi
rem
ents
by
-In
dire
ct s
urve
y in
the
envi
ronm
ent o
f fut
ure
clie
nts
(2)
-D
irect
inte
rvie
w w
ith fu
ture
use
rs o
r w
ith th
e ai
d of
cus
tom
er o
bser
vatio
ns,
e.g.
con
cern
ing
the
hand
ling
of a
pro
toty
pe (
3)-
Info
rmat
ion
conc
erni
ng p
rodu
cts
alre
ady
in u
se (
e.g.
laud
, pro
blem
s,
ques
tions
) (4
)P
robl
ems
of th
e di
rect
inte
rvie
wT
he r
equi
rem
ents
giv
en b
y th
e cu
stom
er a
re o
ften
abou
t des
ign
conc
epts
or
solu
tions
Cus
tom
ers
inte
nsel
y th
ink
–pa
rtic
ular
ly in
the
softw
are
deve
lopm
ent –
in s
olut
ions
Pos
sibl
y m
anip
ulat
ion
of th
e so
ftwar
e en
gine
er s
o th
at n
ot th
e m
ost c
ost-
or ti
me-
effe
ctiv
e so
lutio
n fo
r th
e cu
stom
er is
dev
elop
edC
onse
quen
ce: a
sk c
usto
mer
for
the
reas
ons
conc
erni
ng a
ll of
his
req
uire
men
ts
P
rof.
Dr.
Lig
gesm
eyer
, 11
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
An
alys
is o
f C
ust
om
er R
equ
irem
ents
Rec
ordi
ng o
f cus
tom
er r
equi
rem
ents
Cus
tom
er V
oice
Tab
le (
5)W
ritin
g do
wn
of c
usto
mer
req
uire
men
ts th
emat
ical
ly s
truc
ture
d, e
.g. a
ccor
ding
to
-P
robl
ems
-R
equi
rem
ents
-T
echn
ical
rea
lizat
ion
poss
ibili
ties
-C
harg
ing
of ti
me
and
cost
sC
ompl
etio
n of
the
gain
ed in
form
atio
n E
xam
inat
ion
for
thei
r va
lidity
Affi
nity
Dia
gram
(6)
Clu
ster
the
cust
omer
req
uire
men
ts
-Ig
nore
con
nect
ion
to p
ossi
ble
real
izat
ion
poss
ibili
ties
-Id
entif
y ba
ckgr
ound
s fo
r re
quire
men
ts (
e.g.
sho
uld
be s
elf-
expl
anat
ory:
po
ssib
le c
ause
: eas
y to
han
dle
or e
asy
lear
nabl
e)-
Iden
tify
gene
ric te
rms
for
requ
irem
ents
-S
ubsu
me
sim
ilar
requ
irem
ents
P
rof.
Dr.
Lig
gesm
eyer
, 12
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
An
alys
is o
f C
ust
om
er R
equ
irem
ents
Cus
tom
er C
onte
xt T
able
(7)
Sta
tem
ents
abo
ut th
e cu
stom
er e
nviro
nmen
t
-W
ho?
-W
hen?
-W
here
?
-W
hy?
-W
hat?
-H
ow?
Rel
atio
n D
iagr
am (
8)Li
stin
g of
con
tent
s of
the
Cus
tom
er C
onte
xt T
able
in c
onsi
dera
tion
of th
eir
depe
nden
ces
Hie
rarc
hy D
iagr
am (
9)C
onte
nts
of th
e R
elat
ion
Dia
gram
and
the
Affi
nity
Dia
gram
str
uctu
red
acco
rdin
g to
th
emat
ic le
vels
P
rof.
Dr.
Lig
gesm
eyer
, 13
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cu
sto
mer
Seg
men
ts/C
ust
om
er R
equ
irem
ents
Mat
rix
Eva
luat
es th
e cu
stom
er r
equi
rem
ents
acc
ordi
ng to
thei
r im
port
ance
for
the
indi
vidu
al c
usto
mer
seg
men
ts
Gen
erat
es c
usto
mer
req
uire
men
ts e
valu
ated
acc
ordi
ng to
thei
r pr
iorit
y as
inpu
t for
the
Hou
se o
f Qua
lity
P
rof.
Dr.
Lig
gesm
eyer
, 14
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Th
e H
ou
se o
f Q
ual
ity
P
rof.
Dr.
Lig
gesm
eyer
, 15
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Th
e H
ou
se o
f Q
ual
ity
Goa
l Rea
lizat
ion
of th
e cu
stom
er r
equi
rem
ents
in p
hysi
cal c
hara
cter
istic
s in
co
nsid
erat
ion
of im
port
ant f
acto
rs fo
r th
e de
velo
pmen
t pro
cess
Ste
ps List
cus
tom
er r
equi
rem
ents
(1)
Wei
ght c
usto
mer
req
uire
men
ts in
pai
r w
ise
com
paris
on (
2). T
his
prio
ritiz
atio
n se
rves
the
purp
ose
to d
irect
the
atte
ntio
n to
the
basi
cs o
f the
pro
duct
dev
elop
men
t an
d to
con
trol
the
inve
stm
ent p
rope
rlyM
ake
com
petit
ive
com
paris
ons
to d
eter
min
e ob
ject
ives
for
a po
sitio
ning
in th
e m
arke
t (3)
Det
erm
inat
ion
of th
e te
chni
cal c
hara
cter
istic
s fo
r th
e re
aliz
atio
n of
the
cust
omer
re
quire
men
ts (
4)T
arge
t val
ues
of th
ese
tech
nica
l cha
ract
eris
tics
(5)
prov
ide
the
guid
e va
lues
for
the
fulfi
llmen
t of t
he te
chni
cal c
hara
cter
istic
sD
eter
min
e to
wha
t ext
ent t
echn
ical
cha
ract
eris
tics
influ
ence
eac
h ot
her
and
if th
ese
depe
nden
ces
are
posi
tive
or n
egat
ive
(6)
P
rof.
Dr.
Lig
gesm
eyer
, 16
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Th
e H
ou
se o
f Q
ual
ity
The
rel
atio
n/co
nnec
tion/
corr
elat
ion
mat
rix (
7)G
ives
info
rmat
ion
abou
t whi
ch c
usto
mer
req
uire
men
ts a
re r
ealiz
edby
whi
ch
tech
nica
l cha
ract
eris
tics
To
the
cros
s po
ints
rel
atio
n sy
mbo
ls a
re m
appe
dA
lread
y he
re it
can
be
test
ed/c
heck
ed if
a c
usto
mer
req
uire
men
t has
bee
n fo
rgot
ten
(row
did
not
get
a s
ymbo
l), o
r
if a
tech
nica
l cha
ract
eris
tic e
xist
s w
hich
has
no
rela
tion
to c
usto
mer
req
uire
men
ts
(col
umn
is e
mpt
y)
Pro
duct
of t
he w
eigh
ting
of a
cus
tom
er r
equi
rem
ent a
nd th
e fa
ctor
of t
he
rela
tion
give
s th
e lo
cal p
riorit
y of
a te
chni
cal c
hara
cter
istic
The
sum
of t
hese
prio
ritie
s gi
ves
the
eval
uatio
n of
the
tech
nica
l cha
ract
eris
tics
(8).
Tho
se c
hara
cter
istic
s ge
t a h
igh
eval
uatio
n w
hich
rel
ate
tohi
ghly
impo
rtan
t re
quire
men
ts o
r to
ver
y m
any
requ
irem
ents
A c
ompe
titio
n co
mpa
rison
con
cern
ing
the
tech
nica
l cha
ract
eris
tics
(9)
prov
ides
ag
ain
com
para
tive
anal
yses
with
reg
ard
to th
e sc
ope
P
rof.
Dr.
Lig
gesm
eyer
, 17
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Dev
elo
pm
ent-
Acc
om
pan
yin
g Q
FD
P
rof.
Dr.
Lig
gesm
eyer
, 18
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
A p
rodu
ct to
be
rege
nera
ted
is to
be
anal
yzed
with
the
aid
of Q
FD
. It i
s ab
out a
tool
for
the
dete
rmin
atio
n of
sof
twar
e m
easu
rem
ents
Sof
twar
e de
velo
pers
, sta
ff m
embe
rs in
qua
lity
assu
ranc
e de
part
men
ts/s
ectio
ns a
nd s
oftw
are
man
ager
s ar
e in
tend
ed a
s ta
rget
gr
oups
(cu
stom
er s
egm
ents
)
P
rof.
Dr.
Lig
gesm
eyer
, 19
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Con
side
r cu
stom
er s
egm
ents
vs.
cus
tom
er c
hara
cter
istic
s (1
)
For
the
desc
riptio
n of
dep
ende
nces
diff
eren
t val
ue s
cale
s ar
e us
ed. H
ere
the
follo
win
g sc
ale
is a
ssum
ed
-un
impo
rtan
t = 0
, min
or im
port
ant =
1, m
ean
= 3
, str
ong
= 5
, ver
yst
rong
= 7
, ex
trem
ely
stro
ng =
9
o+
oex
pect
ed a
ccep
tanc
e
glob
allo
cal t
o gl
obal
loca
lty
p. p
robl
em
eval
uatio
n
-+
+tr
aine
d w
ith r
egar
d
to to
ol u
se
o+
okn
owle
dge
conc
erni
ng
mea
surin
g
man
ager
QS
deve
lope
r
P
rof.
Dr.
Lig
gesm
eyer
, 20
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Con
side
r cu
stom
er s
egm
ents
with
reg
ard
to c
riter
ia im
port
ant f
orth
e co
mpa
nyF
or th
ese
purp
oses
at f
irst t
he p
riorit
ies
of th
e co
rres
pond
ing
crite
ria h
ave
to b
e co
mpa
red
with
eac
h ot
her
∑4,
33∑
9∑
1,53
13
0,33
mul
tiplie
ref
fect
0,33
10,
2bu
ying
de
cisi
on a
bilit
y
35
1sa
leab
lenu
mbe
r
mul
tiplie
r ef
fect
buyi
ng
deci
sion
abi
lity
sale
able
nu
mbe
r
sale
able
num
ber
is a
mor
e im
port
ant c
riter
ion
inm
easu
res
(=3)
than
the
mul
tiplie
r ef
fect
P
rof.
Dr.
Lig
gesm
eyer
, 21
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Sca
ling
to c
olum
n su
m =
1:
∑1
0,26
0,11
0,63
∑3
∑0,
78
∑0,
32
∑1,
9
∑1
∑1
∑1
0,23
0,33
0,22
mul
tiplie
ref
fect
0,08
0,11
0,13
buyi
ng
deci
sion
abi
lity
0,69
0,56
0,65
sale
able
num
ber
mul
tiplie
r ef
fect
buyi
ng
deci
sion
abi
lity
sale
able
nu
mbe
r
0,63
= 1
,9/3
0,69
= 3
/4,3
3
P
rof.
Dr.
Lig
gesm
eyer
, 22
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Tra
nsfe
r of
crit
eria
prio
ritie
s
∑23
,6 %
∑15
%∑
61,4
%se
gmen
t prio
rity
∑9
∑1
∑26
%
5 loca
l: 0,
56
glob
al: 1
4,6
%
3 loca
l: 0,
33
glob
al: 8
,6 %
1 loca
l: 0,
11
glob
al: 2
,9 %
mul
tiplie
r ef
fect
prio
: 26
%
∑9
∑1
∑11
%
5 loca
l: 0,
56
glob
al: 6
,2 %
3 loca
l: 0,
33
glob
al: 3
,6 %
1 loca
l: 0,
11
glob
al: 1
,2 %
buyi
ng d
ecis
ion
abili
ty
prio
: 11
%
∑11
000
∑1
∑63
%
sale
: 500
loca
l: 0,
045
glob
al: 2
,8 %
sale
: 500
loca
l: 0,
045
glob
al: 2
,8 %
sale
: 100
00
loca
l: 0,
91
glob
al: 5
7,3
%
sale
able
num
ber
prio
: 63
%
man
ager
QS
deve
lope
r
P
rof.
Dr.
Lig
gesm
eyer
, 23
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Cus
tom
er V
oice
Tab
le (
5)
grap
hica
l pro
cess
ing
stat
istic
al fu
nctio
ns
varia
ble
cond
ition
dete
rmin
e H
alst
ead
...lim
it va
lue
spec
ifica
tion
...oc
cupy
max
. 100
kB
yte
mem
ory
dete
rmin
e M
cCab
e
...te
chni
cal r
estr
ictio
nscu
stom
er r
equi
rem
ent
P
rof.
Dr.
Lig
gesm
eyer
, 24
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Affi
nity
Dia
gram
for
the
Cus
tom
er V
oice
Tab
le (
6)
Mea
suri
ng
To
ol
mea
sure
men
tva
r.ha
ndlin
gco
mf.
eval
.te
chni
cal r
estr
ictio
ns
McCabe
Halstead
limit values
statistic
graphic
max. 100 KB
P
rof.
Dr.
Lig
gesm
eyer
, 25
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Cus
tom
er C
onte
xt T
able
(7)
even
ings
even
t.
is n
ot
PC
, Bat
chsy
stem
up
to
100
mod
ules
prog
ress
an
d qu
ality
co
ntro
l
offic
ew
orki
ng ti
me
man
ager
is
How
?W
hat?
Why
?W
here
?W
hen?
Who
?
even
ings
, w
eeke
ndev
ent.
is n
ot
wor
ksta
tion,
in
tera
ctiv
ein
divi
dual
m
odul
esch
eck
targ
et
valu
es
offic
ew
orki
ng ti
me
deve
lope
ris
How
?W
hat?
Why
?W
here
?W
hen?
Who
?
P
rof.
Dr.
Lig
gesm
eyer
, 26
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Hie
rarc
hy D
iagr
am (
9): a
dditi
onal
req
uire
men
ts d
ue to
the
Cus
tom
er C
onte
xt
Tab
le-
PC
-an
d w
orks
tatio
n-ve
rsio
n
-at
leas
t 100
mod
ules
mus
t be
anal
yzab
le
-B
atch
ope
ratio
n an
d in
tera
ctiv
e
Mea
suri
ng
To
ol
mea
sure
men
tsva
r.
hand
ling
com
f.ev
al.
tech
nica
l res
tric
tions
McCabe
Halstead
limit values
statistic
graphic
max. 100 KB
interactive
Batch
min. 100 mod.
workstation
PC
P
rof.
Dr.
Lig
gesm
eyer
, 27
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Cu
sto
mer
Seg
men
ts/C
ust
om
er R
equ
irem
ents
Mat
rix
∑54
/23,
6 %
∑49
/15
%∑
31/6
1,4
%
∑5,
4 %
9/3,
9 %
5/1,
5 %
0/0
%P
C
∑19
,3 %
0/0
%5/
1,5
%9/
17,8
%w
orks
tatio
n
∑9
%5/
2,2
%3/
0,9
%3/
5,9
%m
ax. 1
00 k
B
∑3,
1 %
5/2,
2 %
3/0,
9 %
0/0
%m
in. 1
00 M
od.
∑5,
9 %
7/3
%3/
0,9
%1/
2 %
grap
hic
∑5,
1 %
5/2,
2 %
3/0,
9 %
1/2
%st
atis
tic
∑16
,4 %
1/0,
4 %
7/2,
1 %
7/13
,9 %
inte
ract
ive
op.
∑7,
1 %
7/3
%7/
2,1
%1/
2 %
Bat
ch o
p.
∑8,
1 %
3/1,
3 %
3/0,
9 %
3/5,
9 %
Hal
stea
d
∑13
,6 %
5/2,
2 %
5/1,
5 %
5/9,
9 %
McC
abe
∑6,
5 %
7/3
%5/
1,5
%1/
2 %
limit
valu
es
tota
l wei
ght o
f th
e re
quire
m.
man
ager
, 23
,6 %
QS
, 15
%de
velo
per,
61
,4 %
colu
mn
each
sta
ndar
dize
d to
seg
men
t prio
rity
P
rof.
Dr.
Lig
gesm
eyer
, 28
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Th
e H
ou
se o
f Q
ual
ity
Wei
ghtin
g of
cus
tom
er r
equi
rem
ents
con
cern
ing
com
petit
ion
fact
ors:
Wei
ghts
1 =
bad
res
p. n
onex
iste
nt, 2
= w
eak,
3 =
mea
n, 4
= g
ood,
5 =
ver
y go
od
Sal
es a
rgum
ent
1,0
= n
o ar
gum
ent;
1,2
= w
eak
sa, 1
,5 =
str
ong
sa
P
rof.
Dr.
Lig
gesm
eyer
, 29
QM
SS
-Q
ualit
y F
unct
ion
Dep
loym
ent (
QF
D)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Th
e H
ou
se o
f Q
ual
ity
∑10
0 %
4,6
%
25,7
%
3,6
%
4,3
%
6,3
%
3,3
%
14%
7,6
%
8,6
%
14,5
%
5,5
%
prio
rity
25,9
144,
8
32,4
24,5
35,4
18,4
78,7
42,6
48,6
81,6
31,2
tota
l
1,2
1,5
1,2
1,2
1,5
1,2
1,2
1,5
1,5
1,2
1,2
sa
45344344454Impr
ove.
45344344454plan
15
15,
4 %
PC
51
119
,3 %
wor
ksta
tion
21
19
%m
ax. 1
00 k
B
25
13,
1 %
min
. 100
Mod
.
31
15,
9 %
grap
hic
13
15,
1 %
stat
istic
31
116
,4 %
inte
ract
ive
op.
14
17,
1 %
Bat
ch o
p.
41
18,
1 %
Hal
stea
d
14
113
,6 %
McC
abe
23
16,
5 %
limit
valu
es
com
p.
Bco
mp.
Ano
wR
equ.
w
eigh
t.
saip
rvt
wei
ght
requ
irto
tal
now
plan
iprv
t*.
*..
;.
−=
=
Pro
f. D
r. L
igge
smey
er, 3
0Q
MS
S -
Qua
lity
Fun
ctio
n D
eplo
ymen
t (Q
FD
)
Cas
e S
tud
y M
easu
rin
g/M
easu
rem
ent
To
ol
Cu
sto
mer
Req
uir
emen
ts/T
ech
nic
al R
equ
irem
ents
Mat
rix
18,1
%4,
8 %
11,8
%10
,2 %
19,8
%18
,6 %
16,7
%n
orm
aliz
ed
213,
4
00000000991scan
ner
a. p
arse
r
56,7
50011700000stat
istic
lib
rary
139,
1
51017030000grap
hic
libra
ry
120,
4
71970000000data
com
-pr
essi
on
233,
722
0,2
197,
2∑
100
%
75
34,
6%
PC
71
125
,7%
wor
ksta
tion
00
13,
6%
max
. 100
kB
03
34,
3%
min
. 100
mod
.
07
06,
3%
grap
hic
00
13,
3%
stat
istic
17
314
%in
tera
ctiv
e op
.
10
97,
6%
Bat
ch o
p.
00
08,
6%
Hal
stea
d
00
014
,5%
McC
abe
03
55,
5%
limit
valu
es
com
pile
r-co
mpi
ler
win
dow
sy
stem
com
man
d la
ngua
gep
rio
rity
++
+