I
n
t
e
r
n
at
io
n
al
Jou
r
n
al
of
A
d
van
c
e
s
i
n
A
p
p
li
e
d
S
c
ie
n
c
e
s
(
I
JA
A
S
)
V
ol
.
14
, N
o.
4
,
D
e
c
e
m
be
r
20
25
, pp.
1089
~
1098
I
S
S
N
:
2252
-
8814
,
D
O
I
:
10.11591/
ij
a
a
s
.
v14.
i
4
.
pp1089
-
1098
1089
Jou
r
n
al
h
om
e
page
:
ht
tp
:
//
ij
aas
.i
ae
s
c
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.c
om
R
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i
1
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it
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F
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1
D
e
pa
r
t
m
e
nt
of
I
ndus
t
r
i
a
l
E
ngi
ne
e
r
i
ng, U
ni
ve
r
s
i
t
a
s
I
s
l
a
m
I
ndone
s
i
a
, Y
ogya
ka
r
t
a
, I
ndone
s
i
a
2
D
e
pa
r
t
m
e
nt
of
Q
ua
nt
i
t
y S
ur
ve
yi
ng, U
ni
ve
r
s
i
t
i
T
e
knol
ogi
M
A
R
A
, S
e
l
a
ngor
, M
a
l
a
ys
i
a
A
r
t
ic
le
I
n
f
o
A
B
S
T
R
A
C
T
A
r
ti
c
le
h
is
to
r
y
:
R
e
c
e
iv
e
d
D
e
c
17, 2024
R
e
vi
s
e
d
J
ul
5, 2025
A
c
c
e
pt
e
d
J
ul
14, 2025
The
halal
retailing
standard
was
first
introduced
by
the
Departm
ent
of
Malaysian
Standards
in
2010,
known
as
MS
2400
-
3:2010.
This
standa
rd
was
developed
to
protect
Muslim
consumers
with
the
assurance
of
halal
products.
However,
this
management
system
needs
to
be
more
presc
riptive
on
how
the
retail
layout
should
be
organized.
In
addition,
this
management
also
overrides
the
consideration
of
customer
purch
ase
behavi
ors
or
preference
s.
This
research
aims
to
design
the
layout
of
retail
outl
ets
by
consideri
ng
customer
buying
behavior
and
halal
retailin
g
standards
.
This
study
used
the
association
rule
-
market
basket
analysis
(AR
-
MBA)
to
determine
the
pattern
of
customer
shopping
behavior.
One
Islamic
r
etail
in
Indonesia
was
used
as
a
case
study,
where
one
-
month
sales
transactio
n
data
was
analyzed
using
AR
-
MBA.
In
addition,
the
activity
relationshi
p
chart
(ARC)
was
used
to
qu
alitatively
analyze
the
placement
of
a
p
roduct
department
by
considering
halal
retailing
standards.
The
results
of
AR
-
MBA
obtained
21
associations
among
product
departments,
which
were
then
used
as
a
basis
for
proposed
layouts
while
st
ill
considering
the
product
characterist
ics
and
halal
retailin
g
standards
.
This
research
output
provided
a
proposed
product
layout
for
retail
outlets
by
considering
quantitative
factors
(AR
-
MBA output) and qualitative
factors (MS stan
dard).
K
e
y
w
o
r
d
s
:
A
c
ti
vi
ty
r
e
la
ti
ons
hi
p c
ha
r
t
D
a
ta
m
in
in
g
FP
-
G
r
ow
th
In
-
s
to
r
e
l
ogi
s
ti
c
s
M
S
2400
-
3:
2019
This is an
open
acce
ss artic
le unde
r the
CC BY
-
SA
license.
C
or
r
e
s
pon
di
n
g A
u
th
or
:
Q
ur
tu
bi
D
e
pa
r
tm
e
nt
of
I
ndus
tr
ia
l
E
ngi
ne
e
r
in
g, U
ni
ve
r
s
it
a
s
I
s
la
m
I
ndone
s
ia
K
a
li
ur
a
ng S
tr
e
e
t,
K
M
14.5 S
le
m
a
n, Y
ogya
ka
r
ta
, I
ndone
s
ia
E
m
a
il
:
qur
tu
bi
@
ui
i.
a
c
.i
d
1.
I
N
T
R
O
D
U
C
T
I
O
N
T
he
r
e
ta
il
in
dus
tr
y
is
a
n
e
s
s
e
nt
ia
l
s
e
c
to
r
of
th
e
gl
oba
l
e
c
onomy,
c
ha
r
a
c
te
r
iz
e
d
by
s
tr
ic
t
c
om
pe
ti
ti
on,
c
om
pe
ti
ti
ve
pr
of
it
m
a
r
gi
ns
,
a
nd
num
e
r
ous
c
ons
um
e
r
de
m
a
nds
[
1]
.
I
nt
e
ns
e
c
om
pe
ti
ti
on
le
a
ds
r
e
ta
il
e
r
s
to
ta
ke
7
-
15%
pr
o
f
it
m
a
r
gi
ns
[
2]
;
e
ve
n
s
m
a
ll
-
s
c
a
le
m
ode
r
n
r
e
ta
il
e
r
s
t
a
ke
le
s
s
th
a
n
5%
[
3]
.
T
hi
s
c
om
pe
ti
ti
ve
pr
of
i
t
m
a
r
gi
n
ur
ge
s
r
e
ta
il
e
r
s
to
r
e
duc
e
lo
gi
s
ti
c
s
c
os
t
s
by
c
om
bi
ni
ng
pr
oduc
ts
in
th
e
ir
s
hi
pm
e
nt
s
.
P
r
oduc
t
m
ix
in
g,
bot
h
in
th
e
de
li
ve
r
y
a
nd
la
yout
,
w
hi
c
h
doe
s
not
pa
y
a
tt
e
nt
io
n
to
th
e
ha
la
l
s
ta
tu
s
of
pr
oduc
ts
,
m
a
y
de
c
r
e
a
s
e
th
e
le
ve
l
of
c
onf
id
e
nc
e
of
M
us
li
m
c
ons
um
e
r
s
in
ha
la
l
pr
oduc
ts
due
to
th
e
pos
s
ib
il
it
y
of
c
ont
a
m
in
a
ti
on
w
it
h
non
-
ha
la
l
pr
oduc
ts
[
4]
.
T
hi
s
is
s
ue
hi
ghl
ig
ht
s
th
e
c
r
it
ic
a
l
n
e
e
d
f
or
r
e
ta
il
e
r
s
,
e
s
pe
c
i
a
ll
y
th
os
e
ta
r
ge
ti
ng
M
us
li
m
c
on
s
um
e
r
s
,
to
im
pl
e
m
e
nt
s
tr
uc
tu
r
e
d
s
tr
a
te
gi
e
s
th
a
t
e
ns
ur
e
h
a
la
l
in
te
gr
it
y
w
hi
le
m
a
in
ta
in
in
g
ope
r
a
ti
ona
l
e
f
f
ic
ie
nc
y.
T
o
pr
ot
e
c
t
M
us
li
m
c
on
s
um
e
r
s
w
it
h
ha
la
l
a
s
s
ur
a
nc
e
,
th
e
D
e
pa
r
tm
e
nt
of
M
a
la
ys
ia
n
S
ta
nda
r
d
s
in
tr
oduc
e
d
th
e
w
or
ld
’
s
f
ir
s
t
ha
la
l
r
e
ta
il
s
ta
nda
r
d,
la
te
r
know
n
a
s
M
S
2400
-
3:
2010:
m
a
na
ge
m
e
nt
s
ys
te
m
r
e
qui
r
e
m
e
nt
s
f
or
r
e
ta
il
[
5]
,
w
hi
c
h
w
a
s
f
ur
th
e
r
de
ta
il
e
d
in
M
S
2
400
-
3:
2019.
T
he
M
S
2400
-
3
s
t
a
nda
r
d
a
im
s
to
gua
r
a
nt
e
e
th
e
ha
la
l
s
ta
tu
s
of
pr
oduc
ts
in
th
e
r
e
t
a
il
in
dus
tr
y,
w
hi
c
h
c
ove
r
s
m
os
t
r
e
ta
il
e
r
bus
in
e
s
s
pr
oc
e
s
s
e
s
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
2252
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8814
I
nt
J
A
dv A
ppl
S
c
i
,
V
ol
.
14
, N
o.
4
,
D
e
c
e
m
be
r
20
25
:
108
9
-
109
8
1090
s
ta
r
ti
ng
f
r
om
pr
oduc
t
lo
a
di
ng,
de
li
ve
r
y,
a
nd
r
e
c
e
ip
t
[
6]
.
H
ow
e
ve
r
,
a
c
c
or
di
ng
to
T
i
e
m
a
n
a
nd
B
e
j
a
r
a
no
[
4]
,
a
c
c
or
di
ng
to
I
s
la
m
ic
th
ought,
th
e
M
S
2400
-
3
ne
e
ds
to
be
m
or
e
pr
e
s
c
r
ib
e
d
by
c
on
s
id
e
r
in
g
pur
c
ha
s
in
g
tr
a
ns
a
c
ti
ons
, s
uppl
ie
r
s
e
le
c
ti
on, r
e
ta
il
l
a
yout
, a
nd l
ogi
s
ti
c
s
.
T
h
e
s
tu
d
y
e
xpl
or
e
d
th
e
M
S
2
400
-
3
s
t
a
nd
a
r
d
f
or
r
e
ta
il
op
e
r
a
ti
o
ns
;
it
di
d
n
ot
e
xpl
ic
i
tl
y
a
dd
r
e
s
s
ho
w
r
e
t
a
il
la
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ut
a
n
d
c
u
s
t
om
e
r
s
h
opp
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v
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in
f
l
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f
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c
ti
v
e
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e
s
s
of
h
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l
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o
m
pl
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F
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m
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on
r
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t
a
i
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it
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p
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a
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e
w
it
h
h
a
l
a
l
r
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t
a
i
l
s
t
a
n
da
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d
s
.
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s
g
a
p
is
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vi
de
nt
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th
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c
a
s
e
of
R
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ta
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X
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a
n
I
s
la
m
ic
r
e
ta
il
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r
i
n
Y
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ka
r
ta
, w
hi
c
h
f
a
c
e
s
c
ha
ll
e
nge
s
in
a
li
gni
ng
s
to
r
e
s
w
it
h
c
ons
um
e
r
e
xpe
c
ta
ti
on
s
a
nd
h
a
la
l
c
om
p
li
a
nc
e
.
W
it
h
r
a
pi
d
gr
ow
th
,
R
e
ta
il
X
c
ur
r
e
nt
ly
ha
s
15
out
le
ts
ope
r
a
ti
ng
a
c
r
os
s
Y
ogya
ka
r
ta
.
D
e
s
pi
te
ha
vi
ng
r
a
pi
d
gr
ow
th
,
R
e
ta
il
X
ha
s
not
c
ons
id
e
r
e
d
c
ons
um
e
r
tr
a
ns
a
c
ti
ons
in
th
e
ir
out
le
ts
’
la
yout
a
nd
m
a
r
ke
ti
ng
s
tr
a
te
gi
e
s
.
T
he
pr
e
li
m
in
a
r
y
s
ur
ve
y,
a
im
e
d
a
t
c
ons
um
e
r
s
of
R
e
ta
il
X
,
obt
a
in
e
d
a
ve
r
y
hi
gh
di
s
s
a
ti
s
f
a
c
ti
on
le
ve
l,
w
he
r
e
70%
of
c
ons
um
e
r
s
s
t
a
te
d
th
a
t
th
e
y
w
e
r
e
di
s
s
a
ti
s
f
ie
d
w
it
h
th
e
c
ur
r
e
nt
out
le
t’
s
la
yout
.
A
c
c
or
di
ng
t
o
A
r
c
a
e
t
al
.
[
7]
,
a
n
out
le
t’
s
la
yout
c
a
n
d
e
f
in
e
th
e
im
a
ge
of
s
to
r
e
s
,
w
hi
c
h
c
a
n
h
e
lp
c
om
pa
ni
e
s
s
ta
y c
om
pe
ti
ti
ve
by
f
or
m
in
g
lo
ya
l
c
us
to
m
e
r
s
. T
he
poor
im
a
ge
w
il
l
c
a
us
e
di
s
a
ppoi
nt
m
e
nt
a
nd dis
s
a
ti
s
f
a
c
ti
on a
m
ong c
us
to
m
e
r
s
[
8]
a
nd
r
e
duc
e
t
he
numbe
r
of
l
oya
l
c
us
to
m
e
r
s
a
nd
s
a
l
e
s
[
9]
.
A
be
tt
e
r
s
to
r
e
im
a
ge
w
il
l
m
a
in
ta
in
lo
y
a
l
c
u
s
to
m
e
r
s
a
nd
m
ot
iv
a
te
th
e
m
to
in
c
r
e
a
s
e
th
e
ir
s
hopping
pur
c
ha
s
e
s
[
10]
.
G
iv
e
n
th
e
s
ig
ni
f
ic
a
nt
im
pa
c
t
of
s
t
or
e
la
yout
on
c
us
to
m
e
r
pe
r
c
e
pt
io
n
a
nd
s
a
le
s
pe
r
f
or
m
a
nc
e
,
opt
im
iz
in
g
la
yout
s
tr
a
te
gi
e
s
be
c
om
e
s
c
r
uc
ia
l
f
or
ha
la
l
r
e
ta
il
e
r
s
li
ke
R
e
ta
il
X
.
T
he
r
e
f
or
e
,
la
yout
opt
im
iz
a
ti
on a
nd s
he
lf
s
pa
c
e
a
ll
oc
a
ti
on a
r
e
i
m
pe
r
a
ti
ve
t
o m
a
xi
m
iz
e
pr
oduc
t
vi
s
ib
il
it
y a
nd e
nc
our
a
ge
c
us
to
m
e
r
pur
c
ha
s
e
s
[
1]
.
O
z
c
a
n
a
nd
E
s
na
f
[
11]
a
ls
o
s
ta
te
d
th
a
t
pr
oduc
t
a
nd
s
he
lf
pl
a
c
e
m
e
nt
a
f
f
e
c
t
s
a
le
s
in
c
r
e
a
s
e
s
.
I
n
a
ddi
ti
on,
a
c
c
or
di
ng
to
B
e
he
r
a
a
nd
M
is
hr
a
[
12]
,
e
xpos
in
g
c
om
pl
e
m
e
nt
a
r
y
pr
oduc
ts
or
s
im
il
a
r
br
a
nds
ne
a
r
by
te
nds
to
in
f
lu
e
nc
e
c
us
to
m
e
r
s
to
buy
ot
he
r
pr
oduc
ts
r
e
la
te
d
to
th
e
pr
oduc
t
pur
c
ha
s
e
d.
T
hu
s
,
unde
r
s
t
a
ndi
ng
c
us
to
m
e
r
s
hopping
be
ha
vi
or
a
nd
pr
e
f
e
r
e
nc
e
s
c
a
n
he
lp
de
te
r
m
in
e
th
e
be
s
t
r
e
ta
il
pr
oduc
t
la
yout
s
tr
a
te
gy
to
in
c
r
e
a
s
e
pr
oduc
t
s
a
l
e
s
.
T
he
r
e
ta
il
in
dus
tr
y
ha
s
e
nt
e
r
e
d
th
e
e
r
a
of
bi
g
da
ta
w
it
h
e
nor
m
o
us
tr
a
ns
a
c
ti
on
da
ta
,
kno
w
n
a
s
th
e
5
V
:
va
r
ie
ty
,
vol
um
e
,
ve
r
a
c
it
y,
ve
lo
c
it
y,
a
nd
va
lu
e
.
T
hi
s
m
a
s
s
iv
e
tr
a
ns
a
c
ti
on
d
a
ta
is
be
yond
th
e
a
bi
li
ty
of
tr
a
di
ti
ona
l
m
in
in
g
a
ppr
oa
c
he
s
[
13]
.
H
ow
e
ve
r
,
m
a
ny
r
e
ta
il
c
om
pa
ni
e
s
h
a
ve
not
c
ons
id
e
r
e
d
tr
a
n
s
a
c
ti
on
da
ta
ba
s
e
s
a
s
a
d
e
c
is
io
n
-
m
a
ki
ng i
nput
t
o i
m
pr
ove
t
he
c
om
pa
ny’
s
c
om
pe
ti
ti
ve
ne
s
s
.
V
e
r
m
a
a
nd S
in
gh
e
t
al
.
[
13]
s
ta
te
d
th
a
t
tr
a
ns
a
c
ti
ons
in
a
r
e
ta
il
s
to
r
e
pl
a
y
a
vi
ta
l
r
ol
e
a
s
th
e
y
c
a
n
be
a
na
ly
z
e
d
to
unde
r
s
ta
nd
c
us
to
m
e
r
pur
c
ha
s
e
be
ha
vi
or
pa
tt
e
r
ns
.
T
he
s
e
c
u
s
to
m
e
r
pur
c
ha
s
e
pa
tt
e
r
n
s
he
lp
de
s
ig
n
pr
oduc
t
pl
a
c
e
m
e
nt
a
nd
pr
om
ot
io
n
s
tr
a
te
gi
e
s
to
s
a
ti
s
f
y
c
us
to
m
e
r
s
be
tt
e
r
a
nd
th
u
s
in
c
r
e
a
s
e
r
e
ta
il
e
r
s
’
r
e
ve
nue
[
14]
.
F
e
br
ia
nt
i
e
t
al
.
[
15
]
r
e
s
e
a
r
c
he
d
th
is
m
a
tt
e
r
us
in
g
m
ul
ti
le
ve
l
a
s
s
oc
ia
ti
on
r
ul
e
s
(
A
R
s
)
,
w
hi
c
h
pr
oduc
e
m
a
r
ke
ti
ng
s
tr
a
te
gi
e
s
th
a
t
in
c
lu
de
s
to
r
e
la
yout
im
pr
ove
m
e
nt
,
pl
a
nogr
a
m
de
s
ig
n,
a
nd
bundle
d
pr
oduc
t
of
f
e
r
in
gs
.
B
y
in
c
or
por
a
ti
ng
c
ons
um
e
r
s
hopping
pa
tt
e
r
ns
in
to
la
yout
pl
a
nni
ng
u
s
in
g
qua
li
ta
ti
ve
a
nd
qua
nt
it
a
ti
ve
m
e
th
ods
,
th
is
s
tu
dy
a
im
s
to
pr
ovi
de
a
f
r
a
m
e
w
or
k
f
or
opt
im
iz
in
g
s
to
r
e
la
yout
s
in
ha
la
l
r
e
ta
il
s
e
tt
in
gs
.
U
nl
ik
e
pr
e
vi
ous
r
e
s
e
a
r
c
h,
w
hi
c
h
pr
im
a
r
il
y
f
oc
us
e
s
on
ge
n
e
r
a
l
r
e
ta
il
s
tr
a
te
gi
e
s
,
th
i
s
s
tu
dy
in
te
gr
a
te
s
a
s
s
oc
i
a
ti
on
r
ul
e
-
m
in
in
g
te
c
hni
que
s
w
it
h
ha
la
l
r
e
ta
il
s
ta
nda
r
ds
t
o de
ve
lo
p a
n opti
m
iz
e
d l
a
yout
t
ha
t
e
nha
nc
e
s
c
on
s
um
e
r
e
xpe
r
ie
nc
e
a
nd S
ha
r
ia
c
om
pl
ia
nc
e
.
2.
L
I
T
E
R
A
T
U
R
E
R
E
V
I
E
W
T
he
A
R
c
a
n
be
u
s
e
d
to
de
ve
lo
p
m
a
r
ke
ti
ng
s
tr
a
te
gi
e
s
ba
s
e
d
on
c
us
to
m
e
r
pur
c
ha
s
in
g
pr
e
f
e
r
e
nc
e
s
,
w
he
r
e
th
e
s
e
pr
e
f
e
r
e
nc
e
s
c
a
n
be
m
e
a
s
ur
e
d
ba
s
e
d
on
s
uppor
t
a
nd
c
onf
id
e
nc
e
in
A
R
p
r
in
c
ip
le
s
[
15]
.
M
a
r
ke
t
ba
s
k
e
t
a
na
ly
s
i
s
(
M
B
A
)
is
a
n
e
xa
m
pl
e
of
a
n
A
R
s
tu
dy
th
a
t
a
na
ly
z
e
s
c
us
to
m
e
r
buyi
ng
be
h
a
vi
or
in
a
pa
r
ti
c
ul
a
r
tr
a
ns
a
c
ti
on
[
16]
.
A
R
-
M
B
A
is
a
da
ta
m
in
in
g
te
c
hni
que
us
e
d
to
di
s
c
ove
r
uni
que
a
nd
in
te
r
e
s
ti
ng
r
e
la
ti
ons
hi
p
pa
tt
e
r
ns
f
r
om
a
c
ol
le
c
ti
on
of
it
e
m
s
in
a
da
ta
ba
s
e
.
I
t
is
w
id
e
ly
us
e
d
to
obt
a
in
a
tt
r
a
c
ti
ve
bus
in
e
s
s
s
tr
a
te
gi
e
s
[
17]
.
S
hopping
pa
tt
e
r
ns
in
di
c
a
te
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
in
th
e
ir
s
hopping,
a
nd
th
is
in
f
or
m
a
ti
on
c
a
n
be
us
e
d
in
pr
oduc
t
la
yout
a
nd
pr
om
ot
io
n
s
tr
a
te
gy.
S
e
v
e
r
a
l
a
lg
or
it
hm
s
in
A
R
-
M
B
A
ha
ve
be
e
n
us
e
d
in
pr
e
vi
ous
r
e
s
e
a
r
c
h,
s
uc
h
a
s
th
e
A
pr
io
r
i
a
lg
or
it
hm
[
18
]
,
FP
-
G
r
o
w
th
[
19]
,
[
20]
,
E
c
la
t
[
21]
,
[
22]
,
a
nd
K
-
A
pr
io
r
i
[
23]
.
T
hi
s
s
tu
dy
im
pl
e
m
e
nt
s
th
e
FP
-
G
r
ow
th
a
lg
or
it
hm
to
a
na
ly
z
e
c
ons
um
e
r
pur
c
ha
s
e
be
h
a
vi
or
.
F
P
gr
ow
th
is
a
de
ve
lo
pm
e
nt
of
th
e
A
pr
io
r
i
a
lg
or
it
hm
[
24]
–
[
26]
,
w
hi
c
h
is
m
or
e
e
f
f
ic
ie
nt
[
27]
a
nd
c
os
t
-
e
f
f
e
c
ti
ve
[
20]
,
[
28]
.
I
n
de
s
ig
ni
ng
a
r
e
ta
il
l
a
yout
,
in
a
ddi
ti
on
to
c
ons
id
e
r
in
g
th
e
q
ua
nt
it
a
ti
ve
a
s
pe
c
ts
d
e
pi
c
te
d
by
th
e
pr
oduc
ts
’
pr
oxi
m
it
y,
it
is
a
ls
o
ne
c
e
s
s
a
r
y
to
c
ons
id
e
r
qua
li
ta
ti
ve
f
a
c
to
r
s
s
uc
h
a
s
c
ont
a
m
in
a
ti
on
r
is
k,
c
he
m
ic
a
l
pr
ope
r
ti
e
s
of
pr
oduc
ts
,
dur
a
bi
li
ty
,
a
nd
pr
oduc
t
hygi
e
ne
[
29
]
.
S
e
ve
r
a
l
s
tu
di
e
s
,
s
uc
h
a
s
T
a
r
ig
a
n
e
t
al
.
[
30]
a
nd
K
u
r
ni
a
a
nd
L
e
s
ta
r
i
[
31]
,
us
e
d
a
n
a
c
ti
vi
ty
c
or
r
e
la
ti
on
m
a
p
c
a
ll
e
d
a
n
a
c
ti
vi
ty
r
e
la
ti
ons
hi
p
c
ha
r
t
(
A
R
C
)
.
K
ol
o
e
t
al
.
[
32]
e
xpl
a
in
e
d
th
a
t
A
R
C
s
c
oul
d
be
us
e
d
to
a
na
ly
z
e
th
e
d
e
gr
e
e
of
t
he
in
te
r
r
e
la
ti
ons
hi
p
of
a
c
ti
vi
ti
e
s
,
pr
oduc
ts
,
or
de
pa
r
tm
e
nt
s
in
pa
ir
s
to
h
e
lp
de
te
r
m
in
e
a
pr
oduc
t'
s
or
de
pa
r
t
m
e
nt
'
s
pl
a
c
e
m
e
nt
.
T
hi
s
s
tu
dy
c
om
bi
ne
d
A
R
C
s
th
a
t
c
ons
id
e
r
th
e
qua
li
ta
ti
ve
a
s
p
e
c
ts
of
ha
la
l
r
e
ta
il
s
ta
nd
a
r
ds
w
it
h
qua
nt
it
a
ti
ve
e
le
m
e
nt
s
,
s
uc
h
a
s
c
on
s
um
e
r
s
hopping beha
vi
or
, r
e
s
ul
ti
ng f
r
om
t
he
A
R
-
M
B
A
a
lg
or
it
hm
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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J
A
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8814
R
e
de
s
ig
ni
ng r
e
ta
il
s
pac
e
s
bas
e
d on c
us
to
m
e
r
habit
s
and halal
s
ta
ndar
ds
us
in
g m
a
r
k
e
t
…
(
R
oai
da Y
ant
i)
1091
A
s
tu
dy
by
R
ha
vi
a
nd
B
ha
ga
t
[
33]
,
w
hi
c
h
e
x
a
m
in
e
d
th
e
in
f
lu
e
nc
e
of
m
e
r
c
ha
ndi
s
in
g
a
nd
pr
ic
e
s
a
s
a
r
e
ta
il
s
tr
a
te
gy,
s
ugge
s
te
d
th
a
t
f
ut
ur
e
r
e
s
e
a
r
c
h
s
houl
d
im
pl
e
m
e
nt
a
not
he
r
va
r
ia
bl
e
of
th
e
m
a
r
ke
t
s
tr
a
te
gy,
one
of
w
hi
c
h
w
a
s
th
e
r
e
ta
il
la
yout
.
T
hi
s
r
e
s
e
a
r
c
h
ha
s
f
il
le
d
th
e
th
e
or
e
ti
c
a
l
ga
p
by
de
ve
lo
pi
ng
th
e
r
e
ta
il
la
yout
f
or
s
a
le
s
s
tr
a
te
gi
e
s
.
T
hi
s
r
e
s
e
a
r
c
h
a
l
s
o
f
il
le
d
th
e
c
onc
e
pt
ua
l
ga
p
in
th
e
T
ie
m
a
n
a
nd
B
e
ja
r
a
no
[
4]
s
tu
dy
on
th
e
ha
la
l
r
e
ta
il
in
g
s
ta
nda
r
d,
w
hi
c
h
m
us
t
be
m
or
e
pr
e
s
c
r
ip
ti
ve
on
th
e
r
e
ta
il
la
yout
de
s
ig
n
a
nd
c
ons
id
e
r
a
ti
on
of
c
us
to
m
e
r
buyi
ng
pr
e
f
e
r
e
nc
e
s
.
F
r
om
th
e
c
onc
e
pt
ua
l
r
e
s
e
a
r
c
h
ga
p
pe
r
s
pe
c
ti
ve
,
th
is
s
tu
dy
c
om
bi
ne
s
th
e
c
onc
e
pt
of
ha
la
l
r
e
ta
il
w
it
h
c
us
to
m
e
r
p
r
e
f
e
r
e
nc
e
s
in
de
s
ig
ni
ng
r
e
ta
il
la
yout
s
.
I
n
a
ddi
ti
on,
a
n
e
m
pi
r
ic
a
l
r
e
s
e
a
r
c
h
ga
p
w
a
s
f
il
le
d
ba
s
e
d
on
th
e
Š
tu
le
c
e
t
al
.
[
10]
s
tu
dy
th
a
t
lo
oke
d
f
or
la
yout
pr
e
f
e
r
e
nc
e
s
ba
s
e
d
on
c
ons
um
e
r
c
ha
r
a
c
te
r
is
ti
c
s
i
n a
pa
r
ti
c
ul
a
r
r
e
ta
il
s
to
r
e
. I
n a
ddi
ti
on, Š
tu
le
c
e
t
al
.
[
10]
a
ls
o r
e
c
om
m
e
nde
d e
xpl
or
in
g t
he
s
c
ope
of
c
us
to
m
e
r
s
hopping
c
ha
r
a
c
te
r
is
ti
c
s
.
T
o
a
ddr
e
s
s
th
e
e
m
pi
r
ic
a
l
r
e
s
e
a
r
c
h
ga
p,
th
e
s
tu
dy
id
e
nt
if
ie
d
th
e
c
ha
r
a
c
te
r
is
ti
c
s
of
c
us
to
m
e
r
s
hopping
in
a
r
e
ta
il
s
to
r
e
th
r
ough
s
hopping
pa
tt
e
r
ns
in
th
e
ir
s
hopping
ba
s
ke
t.
T
o
s
um
m
a
r
iz
e
th
e
a
bove
-
m
e
nt
io
ne
d
s
ta
te
m
e
nt
,
th
e
nov
e
lt
y
of
t
hi
s
r
e
s
e
a
r
c
h
is
to
pr
ovi
de
a
c
a
s
e
s
tu
dy
on
th
e
la
yout
pl
a
nni
ng
of
th
e
r
e
ta
il
out
le
t
by
s
tu
dyi
ng
c
us
to
m
e
r
s
hopping
pr
e
f
e
r
e
nc
e
s
a
nd
th
e
a
ppl
ic
a
ti
on
of
ha
la
l
r
e
ta
il
s
ta
nda
r
ds
. T
hi
s
r
e
s
e
a
r
c
h us
e
d a
r
e
ta
il
e
r
out
le
t
a
dopt
in
g t
he
S
ha
r
ia
c
onc
e
pt
a
s
a
c
a
s
e
s
tu
dy. T
he
c
u
s
to
m
e
r
pur
c
ha
s
in
g
pr
e
f
e
r
e
nc
e
s
obt
a
in
e
d
f
r
om
A
R
-
M
B
A
w
e
r
e
in
te
gr
a
te
d
in
to
qua
li
ta
ti
ve
a
s
pe
c
ts
s
uc
h
a
s
pr
oduc
t
r
is
k
of
c
ont
a
m
in
a
ti
on a
nd pr
oduc
t
to
xi
c
it
y us
in
g A
R
C
.
3.
R
E
S
E
A
R
C
H
M
E
T
H
O
D
T
h
is
r
e
s
e
a
r
c
h
w
a
s
c
on
du
c
t
e
d
on
R
e
ta
i
l
X
,
a
n
I
s
l
a
m
ic
r
e
ta
il
c
on
c
e
pt
pr
o
vi
d
in
g
v
a
r
i
ou
s
d
a
il
y
p
r
od
uc
ts
f
or
h
a
la
l
a
nd
t
ho
yi
b
. T
h
e
s
e
l
e
c
ti
on
of
R
e
t
a
il
X
a
s
t
he
c
a
s
e
s
t
udy wa
s
b
a
s
e
d
o
n
it
s
c
on
s
i
s
te
nt
a
pp
li
c
a
t
io
n
of
h
a
l
a
l
s
t
a
n
da
r
d
s
, m
a
k
in
g
it
a
n i
de
a
l
e
n
vi
r
o
nm
e
n
t
f
or
e
x
pl
or
in
g
th
e
i
m
pa
c
t
of
la
yo
ut
o
pt
i
m
iz
a
t
io
n
in
ha
la
l
r
e
t
a
i
l
s
e
t
ti
n
g
s
.
T
h
is
r
e
s
e
a
r
c
h
f
o
c
u
s
e
d
on
la
yo
ut
p
la
nni
ng
b
a
s
e
d
on
c
us
to
m
e
r
pr
e
f
e
r
e
n
c
e
s
a
n
d
t
he
ha
la
l
r
e
t
a
il
s
t
a
n
da
r
d
M
S
2
400
-
3:
201
9.
O
n
e
-
m
o
nt
h
tr
a
ns
a
c
ti
on
d
a
t
a
,
c
o
ns
i
s
ti
ng
of
9
686
tr
a
ns
a
c
ti
on
s
,
w
a
s
o
bt
a
in
e
d
f
r
om
s
a
le
s
tr
a
n
s
a
c
ti
on
s
of
R
e
ta
i
l
X
.
E
a
c
h
tr
a
n
s
a
c
ti
o
n
w
a
s
id
e
nt
if
i
e
d
b
y
“
tr
a
ns
a
c
ti
on
c
od
e
”
a
n
d
“
pr
o
du
c
t
n
a
m
e
”.
U
s
i
ng
th
e
tr
a
n
s
a
c
ti
on
c
r
it
e
r
ia
of
a
t
le
a
s
t
tw
o
d
if
f
e
r
e
n
t
i
te
m
s
in
e
a
c
h
t
r
a
ns
a
c
ti
on,
37
25
d
a
t
a
p
oi
n
ts
w
e
r
e
t
a
k
e
n
f
or
f
ur
t
he
r
a
n
a
ly
s
is
.
I
n
th
e
e
a
r
ly
s
ta
g
e
s
of
th
e
s
tu
dy,
th
e
in
it
ia
l
la
yout
of
R
e
ta
il
X
w
a
s
id
e
nt
if
ie
d
us
in
g
di
r
e
c
t
obs
e
r
va
ti
on.
T
hi
s
in
it
ia
l
la
yout
w
a
s
a
ls
o
u
s
e
d
a
s
a
r
e
f
e
r
e
nc
e
in
pr
oduc
t
gr
oupi
ng
us
e
d
on
th
e
A
R
-
M
B
A
.
D
a
ta
pr
oc
e
s
s
in
g,
a
im
e
d
a
t
id
e
nt
if
yi
ng
c
us
to
m
e
r
pur
c
ha
s
in
g
pr
e
f
e
r
e
nc
e
pa
tt
e
r
ns
,
w
a
s
th
e
n
pe
r
f
or
m
e
d
ba
s
e
d
on
th
e
knowle
dge
di
s
c
ove
r
y i
n da
ta
ba
s
e
s
(
K
D
D
)
pr
oc
e
s
s
, w
hi
c
h i
nc
lu
de
s
da
ta
s
e
le
c
ti
on, pr
e
-
pr
oc
e
s
s
in
g, t
r
a
ns
f
or
m
a
ti
on, mi
ni
ng,
a
nd i
nt
e
r
pr
e
ta
ti
on.
D
a
ta
pr
e
-
pr
oc
e
s
s
in
g
is
a
s
te
p
to
pr
e
pa
r
e
da
t
a
be
f
or
e
e
nt
e
r
in
g
th
e
da
ta
m
in
in
g
pr
oc
e
s
s
.
T
hi
s
r
e
s
e
a
r
c
h
us
e
d
da
ta
c
le
a
ni
ng,
r
e
duc
ti
on,
a
nd
in
te
gr
a
ti
on
to
pr
e
-
pr
oc
e
s
s
d
a
ta
.
D
a
ta
tr
a
ns
f
or
m
a
ti
on
w
a
s
done
b
e
f
or
e
da
ta
m
in
in
g
pr
oc
e
s
s
in
g
by
c
ha
ngi
ng
th
e
da
ta
in
to
bi
na
r
y
(
1
a
nd
0)
.
T
he
da
ta
m
in
in
g
pr
oc
e
s
s
in
th
is
s
tu
dy
w
a
s
pe
r
f
or
m
e
d
us
in
g
R
a
pi
dM
in
e
r
s
of
twa
r
e
by
in
c
or
por
a
ti
ng
th
e
FP
-
G
r
ow
th
a
lg
or
it
hm
.
T
he
FP
-
G
r
ow
th
a
lg
or
it
h
m
a
nd
R
a
pi
dM
in
e
r
s
of
twa
r
e
w
e
r
e
c
hos
e
n
f
or
th
e
ir
e
f
f
ic
ie
nc
y
in
di
s
c
ove
r
in
g
AR
s
in
la
r
ge
da
ta
s
e
ts
,
a
m
e
th
od
c
om
m
onl
y us
e
d i
n r
e
ta
il
da
ta
a
na
ly
s
is
, e
.g., C
ha
ng
e
t
al
.
[
27]
.
T
hi
s
s
te
p r
e
s
ul
te
d i
n
AR
s
r
e
pr
e
s
e
nt
in
g a
pa
tt
e
r
n
of
c
us
to
m
e
r
s
hopping
pr
e
f
e
r
e
nc
e
s
.
I
nt
e
r
pr
e
ta
ti
on
c
ons
i
s
ts
of
i
nt
e
r
pr
e
ti
ng
th
e
r
e
s
ul
ts
of
a
s
s
oc
ia
ti
on
s
f
or
m
e
d
f
r
om
da
ta
pr
oc
e
s
s
in
g.
T
he
e
va
lu
a
ti
on
w
a
s
th
e
n
pe
r
f
or
m
e
d
by
lo
oki
ng
a
t
th
e
v
a
lu
e
s
of
th
e
a
lg
or
it
hm
pa
r
a
m
e
te
r
s
,
s
uppor
t,
c
onf
id
e
nc
e
,
a
nd
li
f
t
of
e
a
c
h
a
s
s
oc
ia
ti
on
f
or
m
e
d.
T
he
ne
xt
s
te
p
w
a
s
id
e
nt
if
yi
ng
r
e
la
ti
ons
hi
ps
be
twe
e
n
de
pa
r
tm
e
nt
s
us
in
g
th
e
A
R
C
ba
s
e
d
on
AR
s
a
nd
pr
oduc
t
c
ha
r
a
c
te
r
is
ti
c
s
.
T
hi
s
s
te
p'
s
out
put
w
a
s
a
di
a
gr
a
m
r
e
pr
e
s
e
nt
in
g
th
e
pr
oxi
m
it
y
of
de
pa
r
tm
e
nt
r
e
la
ti
ons
hi
ps
.
T
hi
s
m
e
th
odol
ogy
w
a
s
c
hos
e
n
to
a
ddr
e
s
s
th
e
ga
p
in
c
ur
r
e
nt
li
te
r
a
tu
r
e
,
a
s
no
pr
e
vi
ous
s
tu
di
e
s
ha
ve
in
te
gr
a
te
d
c
us
to
m
e
r
pur
c
ha
s
e
be
ha
vi
or
w
it
h ha
la
l
r
e
ta
il
l
a
yout
s
ta
nda
r
ds
us
in
g a
s
s
o
c
ia
ti
on r
ul
e
m
in
in
g t
e
c
hni
que
s
.
3.1. I
n
it
ia
l
la
you
t
i
d
e
n
t
if
ic
at
io
n
T
he
la
yout
of
R
e
ta
il
X
,
in
it
s
e
xi
s
ti
ng
c
ondi
ti
on,
w
a
s
qua
li
ta
t
iv
e
ly
de
te
r
m
in
e
d
by
c
ons
id
e
r
in
g
th
e
pr
oduc
t
ty
pe
.
H
ow
e
ve
r
,
th
e
r
e
w
e
r
e
s
ti
ll
pr
oduc
t
pl
a
c
e
m
e
nt
s
th
a
t
c
oul
d
be
m
or
e
s
ui
ta
bl
e
.
R
e
ta
il
X
im
pl
e
m
e
nt
e
d a
r
a
ndom s
he
lf
t
o di
s
pl
a
y di
f
f
e
r
e
nt
pr
oduc
ts
on s
p
e
c
ia
l
oc
c
a
s
io
ns
. T
he
r
a
ndom s
h
e
lf
w
a
s
l
oc
a
te
d
ne
xt
to
th
e
e
nt
r
a
nc
e
of
R
e
ta
il
X
.
T
he
r
e
f
or
e
,
pr
oduc
ts
pl
a
c
e
d
on
r
a
ndom
s
he
lv
e
s
a
r
e
s
ubj
e
c
t
to
c
ha
nge
a
s
ne
e
de
d.
O
n
th
e
ot
he
r
ha
nd,
un
s
ui
ta
bl
e
pl
a
c
e
m
e
nt
a
ls
o
e
xi
s
te
d
f
or
ga
r
m
e
nt
-
r
e
la
te
d
pr
oduc
ts
.
U
nde
r
w
e
a
r
,
a
s
ub
-
pr
oduc
t
of
th
e
ga
r
m
e
nt
,
w
a
s
pl
a
c
e
d
ne
xt
to
r
ic
e
,
w
hi
c
h
m
a
y
r
e
duc
e
th
e
pr
oduc
ts
’
hygi
e
ne
.
I
n
th
e
e
xi
s
ti
ng
c
ondi
ti
on,
pr
oduc
ts
w
it
h
th
e
s
a
m
e
c
ha
r
a
c
te
r
is
ti
c
s
w
e
r
e
pl
a
c
e
d
f
a
r
a
pa
r
t.
I
n
a
ddi
ti
on,
th
e
pr
oduc
t
la
yout
ha
s
ne
ve
r
be
e
n c
ha
nge
d or
a
dj
u
s
te
d ba
s
e
d on the
c
u
s
to
m
e
r
'
s
buying pr
e
f
e
r
e
nc
e
s
.
3.2. P
r
od
u
c
t
g
r
ou
p
in
g
R
e
ta
il
X
pr
oduc
ts
w
e
r
e
c
la
s
s
if
ie
d
ba
s
e
d
on
th
e
ir
ty
pe
or
s
im
il
a
r
it
y
a
nd
c
ons
id
e
r
a
ti
on
of
th
e
c
ur
r
e
nt
la
yout
.
N
in
e
ty
-
f
our
R
e
ta
il
X
pr
oduc
ts
w
e
r
e
gr
oupe
d
in
to
27
de
pa
r
tm
e
nt
s
ba
s
e
d
on
th
e
ir
s
im
il
a
r
it
y.
D
e
ta
il
s
of
th
e
de
pa
r
tm
e
nt
s
a
nd pr
oduc
ts
a
r
e
s
how
n i
n T
a
bl
e
1.
Evaluation Warning : The document was created with Spire.PDF for Python.
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14
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4
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c
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be
r
20
25
:
108
9
-
109
8
1092
T
a
bl
e
1. P
r
oduc
t
gr
oupi
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D
e
pa
r
t
m
e
nt
P
r
oduc
t
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c
e
c
r
e
a
m
i
c
e
c
r
e
a
m
D
r
i
nk
s
of
t
dr
i
nk;
t
e
a
;
j
ui
c
e
;
he
a
l
t
h dr
i
nks
;
c
of
f
e
e
;
yogur
t
M
i
ne
r
a
l
w
a
t
e
r
m
i
ne
r
a
l
w
a
t
e
r
B
r
e
a
kf
a
s
t
gr
ound c
of
f
e
e
;
l
i
qui
d m
i
l
k;
t
e
a
;
c
e
r
e
a
l
;
m
i
l
k pow
de
r
;
be
ve
r
a
ge
pow
de
r
;
c
onde
ns
e
d m
i
l
k
R
i
c
e
r
i
c
e
L
oc
a
l
s
n
a
c
k
c
hi
ps
;
c
r
a
c
ke
r
s
C
ondi
m
e
nt
s
e
a
s
oni
ng;
s
oy s
a
uc
e
;
c
he
e
s
e
;
s
a
l
t
;
c
oc
onut
m
i
l
k;
j
e
l
l
y pow
de
r
;
s
a
uc
e
I
ns
t
a
nt
f
ood
i
ns
t
a
nt
noodl
e
s
;
s
a
r
di
ne
s
J
a
m
a
nd
b
r
e
a
d
br
e
a
d;
j
a
m
;
m
e
s
e
s
M
ode
r
n
s
na
c
k
c
hi
ps
;
pi
l
us
;
nut
s
;
w
a
f
e
r
s
;
bi
s
c
ui
t
s
;
br
ow
ni
e
s
;
s
e
a
w
e
e
d
I
ngr
e
di
e
nt
s
1
e
ggs
;
s
uga
r
I
ngr
e
di
e
nt
s
2
f
l
our
;
oi
l
C
onf
e
c
t
i
ona
r
y
c
hoc
ol
a
t
e
;
c
a
ndy;
s
a
u
s
a
ge
F
r
oz
e
n
f
ood
nugge
t
, r
a
w
s
a
us
a
g
e
H
e
a
l
t
hc
a
r
e
m
e
di
c
i
ne
;
vi
t
a
m
i
n;
pa
i
n r
e
l
i
e
f
pa
t
c
h;
hone
y;
m
e
di
c
a
t
e
d oi
l
;
w
ound pl
a
s
t
e
r
;
m
a
s
k
B
e
a
ut
y
k
it
pe
r
f
um
e
;
de
odor
a
nt
;
ha
i
r
oi
l
;
f
a
c
i
a
l
w
a
s
h;
l
ot
i
on;
S
t
a
t
i
ona
r
y
s
t
a
t
i
one
r
y;
books
;
gl
ue
;
a
c
c
e
s
s
or
i
e
s
;
ba
t
t
e
r
i
e
s
T
oi
l
e
t
r
i
e
s
t
oot
hpa
s
t
e
;
t
oot
hbr
us
h;
s
oa
p;
s
ha
m
poo;
C
l
e
a
ne
r
s
of
t
e
ne
r
;
bl
e
a
c
he
s
;
di
s
h
s
oa
p;
f
l
oor
c
l
e
a
ni
ng de
t
e
r
ge
nt
;
l
i
qui
d l
a
undr
y de
t
e
r
ge
nt
I
ns
e
c
t
i
c
i
de
a
nd
a
i
r
f
r
e
s
he
ne
r
i
ns
e
c
t
r
e
pe
l
l
e
nt
;
f
r
a
gr
a
nc
e
S
a
ni
t
a
r
y
t
i
s
s
ue
;
c
ot
t
on s
w
a
bs
B
a
by
ba
by w
e
t
w
i
pe
s
;
ba
by pow
de
r
;
ba
by
s
oa
p
S
a
ni
t
a
r
y
p
a
ds
pa
nt
yl
i
ne
r
s
;
di
a
pe
r
s
;
s
a
ni
t
a
r
y pa
ds
D
e
t
e
r
ge
nt
w
a
s
hi
ng pow
de
r
E
nt
e
r
t
a
i
nm
e
nt
s
l
i
ppe
r
s
;
t
oys
H
ous
e
w
a
r
e
c
ut
l
e
r
y;
br
oom
s
;
m
ops
;
gr
e
a
s
e
pr
oof
pa
pe
r
;
w
a
s
hi
ng br
us
he
s
;
s
ponge
s
;
c
a
ndl
e
s
S
our
c
e
:
Y
a
nt
i
[
34]
4.
D
A
T
A
P
R
O
C
E
S
S
I
N
G
4.1
.
D
at
a
p
r
e
-
p
r
oc
e
s
s
in
g
D
a
ta
pr
e
-
pr
oc
e
s
s
in
g
c
ons
i
s
ts
of
da
t
a
c
le
a
ni
ng,
r
e
duc
ti
on,
a
nd
in
te
gr
a
ti
on
[
35]
.
D
a
ta
c
le
a
ni
ng
w
a
s
pe
r
f
or
m
e
d
by
de
le
ti
ng
in
c
om
pl
e
te
t
r
a
ns
a
c
ti
on
da
ta
,
tr
a
ns
a
c
ti
on
s
c
ont
a
in
in
g
onl
y
one
pr
oduc
t,
or
t
r
a
ns
a
c
ti
ons
c
ont
a
in
in
g
m
or
e
th
a
n
one
pr
oduc
t
f
r
om
th
e
s
a
m
e
de
pa
r
tm
e
nt
.
D
a
ta
va
r
ia
bl
e
s
not
us
e
d
in
th
e
ne
xt
s
te
p
w
e
r
e
e
li
m
in
a
te
d
in
th
e
da
ta
r
e
duc
ti
on.
T
he
s
e
unu
s
e
d
va
r
ia
bl
e
s
w
e
r
e
tr
a
ns
a
c
ti
on
da
te
,
ba
r
c
ode
s
,
pr
oduc
t
c
ode
s
,
pur
c
ha
s
e
qua
nt
it
y,
uni
ts
,
s
e
ll
in
g
pr
ic
e
,
pr
om
ot
io
na
l
s
e
r
vi
c
e
s
,
a
nd
to
ta
l
pr
ic
e
.
T
hi
s
s
tu
dy
c
ons
id
e
r
e
d
th
e
it
e
m
na
m
e
on
e
a
c
h
tr
a
ns
a
c
ti
on
a
s
th
e
r
e
s
e
a
r
c
h
a
im
e
d
to
f
in
d
r
e
la
ti
o
ns
hi
ps
,
pa
tt
e
r
ns
,
a
nd
a
s
s
o
c
ia
ti
ons
of
pr
oduc
ts
pur
c
ha
s
e
d
by
c
us
to
m
e
r
s
on
e
a
c
h
tr
a
ns
a
c
ti
on.
I
n
th
e
f
in
a
l
s
te
p,
i.
e
.,
da
ta
in
te
gr
a
ti
on,
pr
oduc
ts
w
it
h
th
e
s
a
m
e
s
im
il
a
r
it
y w
e
r
e
c
a
te
gor
iz
e
d i
nt
o one
gr
oup. T
he
r
e
s
ul
ts
of
t
he
pr
e
-
pr
oc
e
s
s
in
g pha
s
e
a
r
e
s
how
n i
n
T
a
bl
e
2.
T
a
bl
e
2
.
D
a
ta
pr
e
-
pr
oc
e
s
s
in
g
T
r
a
ns
a
c
t
i
on
P
r
oduc
t
1
w
ound pl
a
s
t
e
r
;
de
odor
a
nt
2
c
ooki
ng oi
l
;
br
ow
ni
e
s
;
c
hi
ps
;
l
oc
a
l
c
hi
ps
3
s
l
i
ppe
r
;
s
pi
c
e
s
;
s
a
l
t
;
e
ggs
4
l
i
qui
d m
i
l
k;
w
a
s
h s
oa
p;
s
pi
c
e
s
;
i
ns
t
a
nt
noodl
e
s
;
c
hi
ps
;
w
a
f
e
r
;
c
ooki
ng oi
l
…..
…………
3728
dr
i
nk
,
j
a
m
,
a
nd
br
e
a
d
S
our
c
e
:
Y
a
nt
i
[
34]
4.2
.
D
at
a
t
r
an
s
f
or
m
at
io
n
D
a
ta
t
r
a
ns
f
or
m
a
ti
on w
a
s
pe
r
f
or
m
e
d be
f
or
e
t
he
da
ta
m
in
in
g pr
o
c
e
s
s
t
o a
da
pt
t
he
da
ta
t
o t
he
a
lg
or
it
hm
or
th
e
pr
oc
e
s
s
in
g
s
of
twa
r
e
'
s
c
h
a
r
a
c
te
r
is
ti
c
s
[
35]
.
T
hi
s
r
e
s
e
a
r
c
h
us
e
d
th
e
FP
-
G
r
ow
th
a
lg
or
it
hm
.
T
r
a
ns
a
c
ti
on
da
ta
f
r
om
th
e
da
ta
pr
e
-
pr
oc
e
s
s
in
g
s
te
p,
s
how
n
in
T
a
bl
e
2,
w
a
s
tr
a
ns
f
or
m
e
d
in
to
bi
na
r
y
num
b
e
r
s
0
a
nd
1.
T
he
numbe
r
1 m
e
a
ns
t
h
e
pr
oduc
t
de
pa
r
tm
e
nt
i
s
c
ont
a
in
e
d i
n t
he
pur
c
ha
s
e
t
r
a
ns
a
c
ti
on, a
nd 0 othe
r
w
is
e
.
4.3
.
A
s
s
oc
ia
t
io
n
r
u
le
p
ar
am
e
t
e
r
s
A
c
c
or
di
ng
to
L
a
r
os
e
a
nd
L
a
r
os
e
[
36]
,
th
e
m
in
im
um
s
upp
or
t
a
nd
c
onf
id
e
nc
e
va
lu
e
s
c
a
n
be
de
te
r
m
in
e
d
us
in
g
a
tr
ia
l
-
a
nd
-
e
r
r
or
a
ppr
oa
c
h.
I
n
th
is
s
tu
dy,
th
e
s
uppor
t
a
nd
c
onf
id
e
nc
e
pa
r
a
m
e
te
r
s
w
e
r
e
de
te
r
m
in
e
d
us
in
g
tr
ia
l
a
nd
e
r
r
o
r
by
lo
oki
ng
a
t
th
e
r
e
s
ul
ts
of
th
e
a
s
s
oc
ia
ti
ons
f
or
m
e
d.
T
he
m
in
im
um
va
lu
e
s
of
s
uppor
t
a
nd
c
onf
id
e
nc
e
ba
s
e
d
on
th
e
e
xpe
r
im
e
nt
s
a
r
e
s
ho
w
n
in
T
a
bl
e
3.
T
he
m
in
im
um
s
uppor
t
a
nd
c
onf
id
e
nc
e
va
lu
e
s
u
s
e
d w
e
r
e
2.5
a
nd 25%
, r
e
s
pe
c
ti
ve
ly
, by the
f
if
th
e
xpe
r
im
e
nt
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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J
A
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R
e
de
s
ig
ni
ng r
e
ta
il
s
pac
e
s
bas
e
d on c
us
to
m
e
r
habit
s
and halal
s
ta
ndar
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us
in
g m
a
r
k
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t
…
(
R
oai
da Y
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i)
1093
T
a
bl
e
3
.
E
xpe
r
im
e
nt
s
i
n de
te
r
m
in
in
g t
he
m
in
im
um
s
uppor
t
a
nd c
onf
id
e
nc
e
E
xpe
r
i
m
e
nt
S
uppor
t
C
onf
i
de
nc
e
R
e
s
ul
t
s
1
0.1
0.5
N
o a
s
s
oc
i
a
t
i
on r
ul
e
f
ound
2
0.1
0.25
N
o a
s
s
oc
i
a
t
i
on r
ul
e
f
ound
3
0.05
0.3
S
e
ve
n a
s
s
o
c
i
a
t
i
on r
ul
e
s
4
0.05
0.25
E
l
e
ve
n a
s
s
oc
i
a
t
i
on r
ul
e
s
5
0.025
0.25
T
w
e
nt
y
-
one
a
s
s
oc
i
a
t
i
on r
ul
e
s
S
our
c
e
:
Y
a
nt
i
[
34]
5.
R
E
S
U
L
T
A
N
D
D
I
S
C
U
S
S
I
O
N
5.1
.
C
u
s
t
om
e
r
’
s
p
r
e
f
e
r
e
n
c
e
s
b
as
e
d
on
as
s
o
c
ia
t
io
n
r
u
le
C
us
to
m
e
r
s
hopping
pr
e
f
e
r
e
nc
e
s
in
th
is
s
tu
dy
w
e
r
e
qua
nt
if
i
e
d
us
in
g
m
in
in
g
r
ul
e
a
s
s
oc
ia
ti
ons
.
A
s
s
oc
ia
ti
on
m
e
a
n
s
th
a
t
w
he
n
a
c
us
to
m
e
r
buys
a
pr
oduc
t
in
th
e
pr
e
m
is
e
s
de
pa
r
tm
e
nt
,
it
is
li
ke
ly
th
a
t
th
e
c
us
to
m
e
r
w
il
l
pur
c
ha
s
e
th
e
pr
oduc
t
in
th
e
c
onc
lu
s
io
n
de
pa
r
tm
e
nt
.
T
he
AR
m
in
in
g
te
c
hni
que
id
e
nt
if
ie
s
pa
tt
e
r
ns
in
c
us
to
m
e
r
pur
c
ha
s
in
g
be
ha
vi
or
by
de
te
r
m
in
in
g
w
hi
c
h
pr
oduc
ts
a
r
e
li
ke
ly
to
be
bought
to
ge
th
e
r
.
F
or
e
xa
m
pl
e
,
if
a
c
us
to
m
e
r
buys
a
pr
oduc
t
in
one
de
pa
r
tm
e
nt
,
th
e
r
ul
e
pr
e
di
c
ts
a
hi
ghe
r
li
ke
li
hood
th
a
t
th
e
y
w
il
l
a
ls
o
pur
c
ha
s
e
a
r
e
la
t
e
d
pr
oduc
t
f
r
om
a
not
he
r
de
pa
r
tm
e
nt
.
T
a
bl
e
4
s
how
s
c
u
s
to
m
e
r
pur
c
ha
s
e
pr
e
f
e
r
e
nc
e
s
f
r
om
th
e
AR
.
A
s
s
ho
w
n
in
T
a
bl
e
4,
th
e
hi
gh
e
s
t
-
r
a
nki
ng
a
s
s
oc
i
a
ti
ons
w
e
r
e
th
e
r
e
la
ti
on
s
hi
ps
be
tw
e
e
n
'
m
ode
r
n
s
na
c
ks
'
a
nd
'
dr
in
ks
'
w
it
h
th
e
hi
ghe
s
t
li
f
t
va
lu
e
s
.
AR
m
in
in
g
f
or
m
e
d
21
a
s
s
oc
ia
ti
ons
w
it
h
a
m
in
im
um
s
uppor
t
va
lu
e
of
2.5%
a
nd
a
m
in
im
um
c
onf
id
e
nc
e
of
25%
.
T
he
s
tu
d
y
r
e
ve
a
le
d
th
a
t
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
te
nd
to
c
lu
s
te
r
in
de
pa
r
tm
e
nt
s
r
e
la
te
d
to
da
il
y
c
onve
ni
e
n
c
e
,
w
it
h
'
m
ode
r
n
s
na
c
ks
,'
'
br
e
a
kf
a
s
t,
'
a
nd
'
in
gr
e
di
e
nt
1'
le
a
di
ng
th
e
li
s
t.
O
f
th
e
e
nt
ir
e
a
s
s
oc
ia
ti
on,
th
e
de
p
a
r
tm
e
nt
s
w
i
th
th
e
m
os
t
pur
c
ha
s
e
s
a
r
e
“
m
ode
r
n
s
n
a
c
ks
”
,
“
in
gr
e
di
e
nt
1”
,
a
nd
“
br
e
a
kf
a
s
t.
”
I
n
a
s
s
o
c
ia
ti
on
r
a
nki
ngs
,
r
e
s
e
a
r
c
he
r
s
c
ons
id
e
r
di
f
f
e
r
e
nt
pa
r
a
m
e
te
r
s
by
a
dj
us
ti
ng
r
e
s
e
a
r
c
h
n
e
e
ds
.
T
he
r
e
s
e
a
r
c
h
by
V
a
ll
e
a
nd
M
or
r
a
s
[
3
7]
us
e
d
li
f
t
va
lu
e
s
,
w
hi
le
S
a
id
e
t
al
.
[
38]
us
e
d
c
onf
id
e
nc
e
a
nd
s
uppor
t
va
lu
e
s
to
r
a
nk
th
e
a
s
s
oc
ia
ti
on
s
f
or
m
e
d.
S
im
il
a
r
to
pr
e
vi
ous
s
tu
di
e
s
,
c
onf
id
e
nc
e
a
nd
s
uppor
t
va
lu
e
s
w
e
r
e
us
e
d
to
r
a
nk
a
s
s
oc
ia
ti
ons
,
r
e
v
e
a
li
ng
pa
tt
e
r
ns
th
a
t
a
li
gn
w
it
h
pr
io
r
r
e
ta
il
be
ha
vi
or
m
ode
ls
.
T
he
hi
ghe
s
t
a
s
s
oc
ia
ti
on,
ba
s
e
d
on
th
e
hi
ghe
s
t
li
f
t
va
lu
e
s
,
w
a
s
th
e
a
s
s
oc
i
a
ti
on
be
twe
e
n
“
m
ode
r
n
s
na
c
k
s
”
,
“
dr
in
ks
”
,
a
nd
“
m
in
e
r
a
l
w
a
t
e
r
”
.
O
n
th
e
ot
he
r
ha
nd,
th
e
hi
gh
e
s
t
a
s
s
oc
ia
ti
on
ba
s
e
d
on
c
onf
id
e
nc
e
a
nd
s
uppor
t
va
lu
e
s
w
a
s
th
e
a
s
s
o
c
ia
ti
on
be
twe
e
n
“
ja
m
a
nd
br
e
a
d”
w
it
h
“
m
ode
r
n
s
na
c
ks
,
”
f
ol
lo
w
e
d
by
th
e
a
s
s
o
c
ia
ti
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be
twe
e
n “
in
s
ta
nt
f
ood”
a
nd
“
c
ondi
m
e
nt
s
”
.
T
a
bl
e
4. A
s
s
oc
ia
ti
on r
ul
e
s
a
m
ong pr
oduc
t
de
pa
r
tm
e
nt
s
N
o.
P
r
e
m
i
s
e
s
C
onc
l
us
i
on
S
uppor
t
C
onf
i
de
nc
e
L
i
f
t
1
br
e
a
kf
a
s
t
m
ode
r
n s
na
c
k
0.080
0.308
1.061
2
m
ode
r
n s
na
c
k
j
a
m
a
nd
br
e
a
d
0.090
0.310
2.586
3
c
onf
e
c
t
i
ona
r
y
dr
i
nk
0.060
0.316
2.429
4
c
ondi
m
e
nt
i
ns
t
a
nt
f
ood
0.070
0.333
3.030
…
….
…..
…..
…..
…..
20
m
ode
r
n s
na
c
k, m
i
ne
r
a
l
w
a
t
e
r
dr
i
nk
0.030
0.750
5.769
21
m
ode
r
n s
na
c
k, dr
i
nk
m
i
ne
r
a
l
w
a
t
e
r
0.030
0.600
6.000
S
our
c
e
:
Y
a
nt
i
[
34]
5.2
.
C
on
s
id
e
r
at
io
n
of
h
al
al
r
e
t
ai
li
n
g s
t
an
d
ar
d
s
in
l
ayou
t
p
la
n
n
in
g
A
s
a
r
e
ta
il
e
r
c
o
m
m
it
te
d
to
a
p
pl
yi
ng
t
he
S
h
a
r
ia
c
o
nc
e
p
t
i
n
th
e
i
r
bus
in
e
s
s
p
r
o
c
e
s
s
,
R
e
t
a
i
l
X
ne
e
ds
to
pa
y
a
tt
e
nt
io
n
to
th
e
ha
la
l
r
e
ta
i
l
s
t
a
nd
a
r
d
is
s
ue
d
by
t
he
D
e
pa
r
t
m
e
n
t
o
f
M
a
la
ys
ia
n
S
t
a
nd
a
r
ds
,
M
S
24
00
:3
.
T
he
M
S
2
400
-
3
s
ta
n
da
r
d
i
s
a
gu
id
e
li
ne
f
o
r
r
e
ta
i
le
r
s
t
o
gua
r
a
nt
e
e
ha
la
l
p
r
o
duc
ts
s
o
ld
,
c
ove
r
in
g
s
ix
c
yc
le
s
of
pr
oc
e
s
s
e
s
:
i
)
s
up
pl
ie
r
s
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l
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c
t
io
n
a
n
d
pr
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uc
t
o
r
de
r
i
ng
,
ii
)
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nve
n
to
r
y
m
a
na
g
e
m
e
nt
;
iii
)
p
r
o
duc
t
r
e
c
e
ip
t,
s
or
ti
ng,
a
nd
s
to
r
a
g
e
;
iv
)
p
r
o
duc
t
p
r
oc
e
s
s
in
g
a
n
d
s
he
lf
di
s
pl
a
y,
a
n
d
v
)
p
r
o
duc
t
i
ns
pe
c
ti
on
.
B
a
s
e
d
on
th
e
s
e
c
yc
le
s
,
t
hi
s
r
e
s
e
a
r
c
h
p
os
i
ti
on
is
on
th
e
f
i
f
t
h
c
yc
le
,
th
e
s
he
lf
di
s
pl
a
y
.
T
he
r
e
a
r
e
f
ou
r
p
r
oc
e
du
r
e
s
in
th
e
s
he
l
f
di
s
p
la
y
b
y
ha
la
l
r
e
ta
i
l
s
ta
n
da
r
ds
:
i
)
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de
n
ti
f
y
in
g,
s
e
pa
r
a
ti
ng,
ha
n
dl
in
g,
a
n
d
la
be
li
ng
no
n
-
ha
la
l
p
r
o
duc
ts
;
ii
)
s
to
r
in
g
a
nd
a
dd
in
g
s
h
e
l
ve
s
;
ii
i
)
c
us
to
m
e
r
t
r
a
c
ki
ng
a
n
d
p
r
o
duc
t
s
e
le
c
ti
on
;
a
nd
iv
)
de
s
ig
ni
n
g
c
o
r
r
i
do
r
r
o
ut
e
s
t
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r
e
ve
n
t
c
ont
a
m
in
a
ti
on.
O
th
e
r
t
hi
n
gs
r
e
la
t
e
d
to
t
he
r
e
ta
i
l
p
r
od
uc
t
la
yo
ut
a
r
e
di
s
pl
a
y
a
n
d
m
e
r
c
ha
n
di
s
in
g
a
c
ti
vi
ti
e
s
.
S
o
m
e
o
f
th
e
d
is
p
la
y
a
nd
m
e
r
c
ha
n
di
s
in
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pr
oc
e
d
u
r
e
s
e
xp
la
in
e
d
in
M
S
2
400
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a
r
e
i
)
e
ns
u
r
in
g
t
ha
t
t
he
p
r
o
duc
t
is
e
f
f
e
c
t
iv
e
ly
p
r
o
te
c
t
e
d
f
r
om
c
o
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m
i
na
t
io
n,
ii
)
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p
le
m
e
n
ti
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pe
r
s
on
a
l
hyg
ie
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p
r
o
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a
m
s
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o
r
e
m
p
lo
ye
e
s
s
u
c
h
a
s
p
r
op
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r
ha
ndw
a
s
hi
ng
p
r
oc
e
du
r
e
s
,
t
he
us
e
o
f
gl
ove
s
o
r
t
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s
to
pi
c
k
up
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r
ta
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pr
od
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f
ne
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s
s
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y
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a
voi
di
ng
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m
pt
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d
c
ont
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c
t
w
it
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r
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m
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p
r
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a
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it
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k
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s
,
ii
i
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pr
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m
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r
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in
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w
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a
y
r
e
s
ul
t
in
no
n
-
ha
l
a
l
p
r
od
uc
ts
.
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25
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R
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c
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S
ha
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w
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c
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ll
s
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s
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por
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ic
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c
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hygi
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ni
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pr
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,
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is
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s
e
a
r
c
h
us
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d
th
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A
R
C
to
pr
opos
e
a
la
yout
ba
s
e
d
on
th
e
s
e
qua
li
ta
ti
ve
r
e
qui
r
e
m
e
nt
s
.
T
a
ki
ng
th
e
S
ha
r
ia
pr
in
c
ip
le
in
to
a
c
c
ount
,
th
e
pr
opos
e
d
la
yout
in
th
is
s
tu
dy
w
a
s
not
in
te
nde
d
to
t
r
ig
ge
r
i
m
pul
s
iv
e
pur
c
ha
s
e
s
.
I
m
pul
s
iv
e
pur
c
ha
s
e
s
a
r
e
c
ons
um
e
r
te
nde
nc
ie
s
to
buy
s
pont
a
ne
ous
ly
, i
n a
hur
r
y, w
it
hout
r
e
f
le
c
ti
on, a
nd dr
iv
e
n by ps
y
c
hol
ogi
c
a
l
a
s
pe
c
t
s
a
nd ma
r
ke
t
in
c
e
nt
iv
e
s
[
39]
.
I
m
pul
s
iv
e
de
c
is
io
ns
a
r
e
m
a
de
s
pont
a
ne
ous
ly
in
s
to
r
e
s
be
c
a
us
e
f
a
c
to
r
s
in
f
lu
e
nc
e
th
e
m
,
in
c
lu
di
ng
c
on
s
um
e
r
c
ha
r
a
c
te
r
is
ti
c
s
a
nd m
a
r
ke
ti
ng s
tr
a
te
gi
e
s
,
s
uc
h a
s
l
a
yout
a
nd pr
om
ot
io
ns
[
40]
. I
s
la
m
s
a
id
i
n
Q
S. A
l
-
I
s
r
a’
:
26
-
27
gi
ve
s
a
f
ir
m
a
tt
it
ude
to
c
on
s
um
e
r
s
by
pr
ohi
bi
ti
ng
e
xc
e
s
s
iv
e
a
nd
unpr
of
it
a
bl
e
a
c
ti
ons
.
I
m
pul
s
iv
e
pur
c
ha
s
e
s
,
ba
s
e
d s
ol
e
ly
on pr
e
f
e
r
e
nc
e
s
w
it
hout
c
on
s
id
e
r
in
g t
he
pr
oduc
ts
'
us
e
f
ul
ne
s
s
,
a
r
e
c
ont
r
a
r
y t
o I
s
la
m
ic
S
ha
r
ia
.
5.3
.
L
ayou
t
p
la
n
n
in
g
u
s
in
g an
ac
t
iv
it
y r
e
la
t
io
n
s
h
ip
c
h
ar
t
T
hi
s
s
tu
dy
us
e
d
A
R
C
to
s
uppor
t
qua
nt
it
a
ti
ve
in
te
r
de
pa
r
tm
e
nt
a
l
a
s
s
oc
ia
ti
ons
r
e
s
ul
ti
ng
f
r
om
AR
-
M
B
A
. A
s
s
ta
te
d i
n t
he
pr
e
vi
ous
c
ha
pt
e
r
, a
s
s
oc
ia
ti
ons
r
e
pr
e
s
e
nt
a
pa
tt
e
r
n of
pur
c
ha
s
e
be
ha
vi
or
. G
e
ne
r
a
ll
y,
s
om
e
r
e
s
e
a
r
c
he
r
s
,
s
uc
h
a
s
K
a
r
th
iy
a
yi
ni
a
nd
B
a
l
a
s
ubr
a
m
a
ni
a
n
[
41]
,
us
e
d
th
is
m
e
th
od
to
f
a
c
il
it
a
te
c
u
s
to
m
e
r
s
by
c
lo
s
e
ly
pl
a
c
in
g
pr
oduc
t
s
w
it
h
th
e
hi
ghe
s
t
a
s
s
oc
ia
ti
on.
O
n
th
e
ot
he
r
ha
nd,
if
th
e
goa
l
is
to
e
xt
e
nd
c
on
s
um
e
r
r
e
a
c
h
to
th
e
pr
oduc
t
s
s
ol
d,
th
e
c
u
s
to
m
e
r
ne
e
d
s
to
b
e
m
ot
iv
a
te
d t
o
w
a
lk
th
r
ough
th
e
s
to
r
e
ha
ll
w
a
y
s
.
T
h
e
r
e
f
or
e
,
pr
oduc
ts
w
it
h
th
e
hi
ghe
s
t
a
s
s
oc
ia
ti
on
s
houl
d
be
pl
a
c
e
d
f
a
r
a
pa
r
t
[
16]
.
T
hi
s
s
tu
dy'
s
pr
opos
e
d
la
yout
w
a
s
m
or
e
de
di
c
a
te
d
to
f
a
c
il
it
a
ti
ng
c
us
to
m
e
r
s
by
c
lo
s
e
ly
pl
a
c
in
g
pr
oduc
t
s
w
it
h
th
e
hi
ghe
s
t
a
s
s
oc
ia
ti
on.
T
h
e
r
e
f
or
e
,
th
is
de
c
is
io
n w
il
l
m
in
im
iz
e
t
he
r
e
qui
r
e
d t
im
e
a
nd f
a
c
il
it
a
te
pr
oduc
t
s
e
a
r
c
h.
I
n
a
ddi
ti
on
to
th
e
pur
c
h
a
s
e
pa
tt
e
r
n,
A
R
C
n
e
e
ds
to
c
on
s
id
e
r
qua
li
ta
ti
ve
f
a
c
to
r
s
s
uc
h
a
s
pr
oduc
t
c
ha
r
a
c
te
r
is
ti
c
s
,
c
ont
a
m
in
a
ti
on
r
is
k,
c
he
m
ic
a
l
pr
ope
r
ti
e
s
of
pr
oduc
ts
,
a
nd
pr
oduc
t
hygi
e
ne
[
29]
.
B
ot
h
c
ont
a
m
in
a
ti
on
r
is
k
a
nd
pr
oduc
t
hygi
e
ne
a
r
e
s
ta
te
d
in
th
e
ha
la
l
r
e
ta
il
s
ta
nda
r
d
M
S
2400
-
3:
2019.
T
he
c
om
bi
na
ti
on
of
qua
nt
it
a
ti
ve
(
c
u
s
to
m
e
r
pr
e
f
e
r
e
nc
e
s
)
a
nd
q
ua
li
ta
ti
ve
(
ha
la
l
r
e
ta
il
s
t
a
nda
r
d)
in
f
or
m
a
ti
on
is
de
pi
c
te
d
in
F
ig
ur
e
1.
F
ig
ur
e
1
s
how
s
th
e
r
e
la
ti
on
s
hi
p
c
ha
r
t
a
m
ong
de
pa
r
tm
e
nt
s
,
w
he
r
e
th
e
d
e
gr
e
e
of
pr
oxi
m
it
y
is
r
e
pr
e
s
e
nt
e
d
in
s
ix
di
f
f
e
r
e
nt
c
ol
or
s
.
T
w
o
num
be
r
s
unde
r
th
e
c
ol
or
s
in
di
c
a
te
th
e
c
lo
s
e
ne
s
s
c
ode
ba
s
e
d
on
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
(
A
R
-
M
B
A
r
e
s
ul
ts
)
a
nd
th
e
pr
o
duc
t’
s
pr
ope
r
ti
e
s
(
r
e
ta
il
s
t
a
nda
r
d)
.
T
he
s
e
two
c
lo
s
e
ne
s
s
r
e
a
s
ons
de
te
r
m
in
e
t
he
de
gr
e
e
of
pr
oxi
m
it
y a
m
ong pr
o
duc
t
de
pa
r
tm
e
nt
s
.
T
he
A
R
C
vi
s
ua
ll
y
r
e
pr
e
s
e
nt
s
th
e
r
e
la
ti
ons
hi
ps
be
tw
e
e
n
pr
od
uc
t
de
pa
r
tm
e
nt
s
ba
s
e
d
on
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
a
nd
pr
oduc
t
c
ha
r
a
c
te
r
is
ti
c
s
[
32]
.
B
y
a
na
ly
z
in
g
th
e
A
R
C
r
e
s
ul
t
a
bove
,
th
e
f
in
di
ngs
f
r
om
th
e
AR
-
M
B
A
c
a
n
be
u
s
e
d
to
id
e
nt
if
y
th
e
m
os
t
e
f
f
ic
ie
nt
pr
oduc
t
pl
a
c
e
m
e
nt
s
,
e
n
s
ur
in
g
a
la
yout
th
a
t
a
li
gns
w
it
h
c
us
to
m
e
r
s
hopping
be
ha
vi
or
s
w
hi
le
a
dhe
r
in
g
to
ha
la
l
r
e
ta
il
s
ta
nda
r
ds
.
T
he
a
nnot
a
ti
on,
c
ol
or
c
ode
,
a
nd
th
e
r
e
la
ti
ons
hi
p
c
ha
r
t
a
m
ong
pr
oduc
t
de
pa
r
tm
e
nt
s
a
r
e
s
how
n
in
F
i
gur
e
1.
I
f
,
a
c
c
or
di
ng
to
c
ons
um
e
r
pr
e
f
e
r
e
nc
e
s
,
th
e
pr
oduc
ts
s
houl
d
be
pl
a
c
e
d
c
lo
s
e
to
ge
th
e
r
,
but
a
c
c
or
di
ng
to
th
e
pr
oduc
t
c
ha
r
a
c
te
r
is
ti
c
s
a
nd
ha
la
l
r
e
ta
il
s
ta
nda
r
ds
,
th
e
pr
oduc
ts
s
houl
d
not
be
pl
a
c
e
d
c
lo
s
e
to
ge
th
e
r
.
T
h
e
de
c
is
io
n
ta
ke
n
in
th
e
pr
opos
e
d
la
yout
is
th
a
t
th
e
pr
oduc
t
pl
a
c
e
m
e
nt
s
houl
d
not
be
pl
a
c
e
d
c
lo
s
e
to
ge
th
e
r
.
Q
ua
nt
it
a
ti
ve
a
na
ly
s
is
of
c
u
s
to
m
e
r
pr
e
f
e
r
e
nc
e
s
us
in
g
th
e
A
R
-
M
B
A
m
e
th
od
obt
a
in
e
d
a
n
a
s
s
oc
ia
ti
on
be
tw
e
e
n
“
he
a
lt
hc
a
r
e
”
a
nd
“
in
gr
e
di
e
nt
1
”
,
m
e
a
ni
ng
th
e
s
e
two
de
pa
r
tm
e
nt
s
s
houl
d
be
pl
a
c
e
d
c
lo
s
e
to
ge
th
e
r
.
H
ow
e
ve
r
,
ba
s
e
d
on
pr
oduc
t
pr
ope
r
ti
e
s
a
nd
ha
la
l
r
e
ta
il
s
ta
nda
r
ds
,
bot
h
pr
oduc
ts
m
us
t
be
ke
pt
a
w
a
y
be
c
a
us
e
“
he
a
lt
hc
a
r
e
”
pr
oduc
ts
ha
ve
c
he
m
ic
a
l
pr
ope
r
ti
e
s
th
a
t
c
a
n
c
ont
a
m
in
a
te
f
ood
pr
oduc
ts
,
s
uc
h
a
s
“
in
gr
e
di
e
nt
1
”
.
C
onve
r
s
e
ly
,
s
om
e
pr
oduc
ts
do
not
ha
ve
qua
nt
it
a
ti
ve
r
e
la
ti
ons
hi
ps
be
c
a
u
s
e
th
e
y
do
not
f
or
m
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
a
s
s
oc
ia
ti
ons
but
ha
ve
qua
li
ta
ti
ve
c
lo
s
e
ne
s
s
ba
s
e
d
on
th
e
s
im
il
a
r
it
y
of
pr
oduc
t
ty
pe
s
a
nd
uni
f
or
m
it
y,
f
or
e
xa
m
pl
e
,
th
e
r
e
la
ti
ons
hi
p
be
tw
e
e
n
“
i
c
e
c
r
e
a
m
”
a
nd
“
dr
in
k
”
or
“
to
il
e
tr
ie
s
”
a
nd
“
s
a
ni
ta
r
y
”
pr
oduc
t
s
.
I
n
a
ddi
ti
on,
th
e
r
e
a
r
e
pr
oduc
t
r
e
la
ti
ons
hi
ps
s
ig
ne
d
w
it
h
br
ow
n,
w
hi
c
h
m
e
a
ns
th
a
t
th
e
y
s
houl
d
not
be
ke
pt
c
lo
s
e
due
t
o t
he
r
is
k of
c
ont
a
m
in
a
ti
on or
c
onc
e
r
ni
ng t
he
hygie
ne
a
nd c
le
a
nl
in
e
s
s
of
t
he
pr
oduc
t.
P
r
oduc
ts
in
th
is
c
a
te
gor
y
w
e
r
e
“
he
a
lt
hc
a
r
e
”
,
“
c
le
a
ne
r
s
,
”
“
to
il
e
tr
ie
s
,”
“
in
s
e
c
ti
c
id
e
s
,”
a
nd
“
a
ir
f
r
e
s
he
ne
r
s
.
”
I
n
a
ddi
ti
on,
“
a
ppa
r
e
l”
c
ont
a
in
s
unde
r
w
e
a
r
s
ub
-
c
a
te
gor
ie
s
th
a
t
s
houl
d
be
k
e
pt
a
w
a
y
f
r
om
th
e
r
ic
e
c
a
t
e
gor
y
be
c
a
u
s
e
th
e
y
c
a
n
r
e
duc
e
th
e
c
le
a
nl
in
e
s
s
of
th
e
“
a
ppa
r
e
l”
.
B
a
s
e
d
on
th
e
de
s
c
r
ip
ti
on
a
bove
,
th
e
pr
oduc
t
la
yout
de
s
ig
n
is
ba
s
e
d
on
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
by
c
ons
id
e
r
in
g
th
e
ha
la
l
r
e
ta
il
in
g
s
ta
nda
r
d
M
S
2400
-
3:
2019,
a
s
s
how
n
i
n
F
ig
ur
e
2.
T
he
A
R
C
di
a
gr
a
m
w
a
s
pi
vot
a
l
in
tr
a
ns
la
ti
ng
th
e
A
R
-
M
B
A
m
e
th
od'
s
qu
a
nt
it
a
ti
ve
f
in
di
ngs
in
to
a
pr
a
c
ti
c
a
l
pr
oduc
t
la
yout
.
B
y
m
a
ppi
ng
out
th
e
in
te
r
de
pa
r
tm
e
nt
a
l
r
e
la
ti
ons
hi
ps
,
th
e
A
R
C
he
lp
e
d
to
vi
s
ua
li
z
e
pr
oxi
m
it
y
pr
e
f
e
r
e
nc
e
s
w
hi
le
e
ns
ur
in
g
c
om
pl
ia
nc
e
w
it
h
ha
la
l
r
e
ta
il
in
g
s
ta
nda
r
ds
.
F
or
in
s
ta
nc
e
,
th
e
di
a
gr
a
m
hi
ghl
ig
ht
e
d
de
pa
r
tm
e
nt
s
th
a
t
s
houl
d
be
pl
a
c
e
d
c
lo
s
e
r
to
ge
th
e
r
ba
s
e
d
on
c
us
to
m
e
r
pr
e
f
e
r
e
nc
e
s
,
li
ke
“
m
ode
r
n
s
na
c
ks
”
a
nd “
dr
in
ks
”
, w
hi
le
a
ls
o i
de
nt
if
yi
ng t
he
ne
e
d t
o
s
e
pa
r
a
te
s
pe
c
if
ic
de
pa
r
tm
e
nt
s
t
o a
voi
d c
ont
a
m
in
a
ti
on
r
is
ks
, s
uc
h a
s
“
he
a
lt
hc
a
r
e
”
a
nd “
in
gr
e
di
e
nt
1
”
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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J
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2252
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R
e
de
s
ig
ni
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e
ta
il
s
pac
e
s
bas
e
d on c
us
to
m
e
r
habit
s
and halal
s
ta
ndar
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us
in
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a
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k
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…
(
R
oai
da Y
ant
i)
1095
F
ig
ur
e
1. R
e
s
ul
t
of
A
R
C
[
34]
F
ig
ur
e
2. P
r
opos
e
d l
a
yout
[
34]
U
s
in
g
th
e
A
R
C
in
la
yout
pl
a
nni
ng
e
ns
ur
e
d
th
a
t
th
e
s
to
r
e
'
s
de
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[
1]
T
.
F
l
a
m
a
nd,
A
.
G
honi
e
m
,
a
nd
B
.
M
a
dda
h,
“
P
r
om
ot
i
ng
i
m
pul
s
e
buyi
ng
by
a
l
l
oc
a
t
i
ng
r
e
t
a
i
l
s
he
l
f
s
pa
c
e
t
o
gr
oupe
d
pr
oduc
t
c
a
t
e
gor
i
e
s
,”
J
ou
r
nal
of
t
he
O
pe
r
at
i
onal
R
e
s
e
a
r
c
h Soc
i
e
t
y
, vol
. 67, no. 7, pp. 95
3
–
969, 2016, doi
:
10.1057/
j
or
s
.2015.120.
[
2]
H
.
B
i
m
ha
,
M
.
H
oque
,
a
nd
E
.
M
una
po,
“
T
he
i
m
pa
c
t
of
s
uppl
y
c
ha
i
n
m
a
na
ge
m
e
nt
pr
a
c
t
i
c
e
s
on
i
ndus
t
r
y
c
om
pe
t
i
t
i
ve
ne
s
s
:
a
m
i
xe
d
-
m
e
t
hods
s
t
udy
on
t
he
Z
i
m
ba
bw
e
a
n
pe
t
r
ol
e
um
i
ndus
t
r
y,”
A
f
r
i
c
an
J
our
nal
of
Sc
i
e
nc
e
,
T
e
c
hnol
ogy
,
I
nnov
at
i
on
and
D
e
v
e
l
opm
e
nt
,
vol
. 12, no. 1, pp. 97
–
109, 2020, doi
:
10.1080/
20421338.2019.1613785.
[
3]
K
.
L
.
A
i
l
a
w
a
di
,
B
.
A
.
H
a
r
l
a
m
,
J
.
C
é
s
a
r
,
a
nd
D
.
T
r
ounc
e
,
“
P
r
om
ot
i
on
pr
of
i
t
a
bi
l
i
t
y
f
or
a
r
e
t
a
i
l
e
r
:
t
he
r
ol
e
of
pr
om
o
t
i
on,
br
a
nd
,
c
a
t
e
gor
y,
a
nd
s
t
or
e
c
ha
r
a
c
t
e
r
i
s
t
i
c
s
,”
J
our
nal
of
M
ar
k
e
t
i
ng
R
e
s
e
ar
c
h
,
vol
.
43,
no.
4,
pp.
518
–
535,
2006,
doi
:
10.1509/
j
m
kr
.43.4.518.
[
4]
M
.
T
i
e
m
a
n
a
nd
B
.
R
.
-
B
e
j
a
r
a
no,
“
H
a
l
a
l
r
e
t
a
i
l
i
ng:
c
l
os
i
ng
t
he
l
a
s
t
m
i
l
e
i
n
a
n
e
n
d
-
to
-
e
nd
ha
l
a
l
s
uppl
y
c
ha
i
n,”
I
C
R
J
our
nal
,
vol
.
11,
no. 1, pp. 147
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i
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a
n,
“
I
m
pl
e
m
e
nt
a
t
i
on
of
t
he
r
e
t
a
i
l
ha
l
a
l
c
ont
r
ol
poi
nt
s
:
a
s
s
e
s
s
m
e
nt
l
e
a
di
ng
t
o
s
us
t
a
i
n
a
b
l
e
c
om
pe
t
i
t
i
ve
ne
s
s
i
n
c
ot
t
a
ge
f
ood
bus
i
n
e
s
s
e
s
dur
i
ng
pos
t
-
pa
nde
m
i
c
r
e
c
ove
r
y,”
I
nt
e
r
nat
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a
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F
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oha
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“
H
a
l
a
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i
nt
e
gr
i
t
y
f
r
om
l
ogi
s
t
i
c
s
s
e
r
vi
c
e
pr
ovi
de
r
pe
r
s
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t
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ve
,
”
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nt
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r
nat
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a
va
i
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a
bi
l
i
t
y
a
nd
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ogi
s
t
i
c
s
r
a
t
i
ona
l
i
z
a
t
i
on.
A
pa
r
t
i
c
i
pa
t
i
ve
m
e
t
hodol
ogy
f
or
s
uppl
y
c
ha
i
n
i
m
pr
ove
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,”
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ou
r
nal
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
nt
J
A
dv A
ppl
S
c
i
I
S
S
N
:
2252
-
8814
R
e
de
s
ig
ni
ng r
e
ta
il
s
pac
e
s
bas
e
d on c
us
to
m
e
r
habit
s
and halal
s
ta
ndar
ds
us
in
g m
a
r
k
e
t
…
(
R
oai
da Y
ant
i)
1097
[
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J
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L
i
m
,
M
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P
a
r
k,
S
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A
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,
M
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A
ni
t
s
a
,
a
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I
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A
ni
t
s
a
l
,
“
R
e
t
a
i
l
c
us
t
om
e
r
s
e
nt
i
m
e
nt
a
na
l
ys
i
s
:
c
us
t
om
e
r
s
’
r
e
vi
e
w
s
of
t
op
t
e
n
U
.S
.
r
e
t
a
i
l
e
r
s
’
pe
r
f
or
m
a
nc
e
,”
G
l
obal
J
our
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e
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udy on p
e
r
c
e
i
ve
d r
i
s
k &
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us
t
i
n onl
i
ne
s
hoppi
n
g:
a
c
om
pa
r
a
t
i
ve
s
t
udy a
m
ong va
r
i
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de
m
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a
phi
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gr
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,”
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N
E
l
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T
he
r
ol
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o
f
s
t
or
e
l
a
yout
a
nd
vi
s
ua
l
m
e
r
c
ha
ndi
s
i
ng
i
n
f
ood
r
e
t
a
i
l
i
ng,”
E
ur
ope
an
J
our
nal
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c
onom
i
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us
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St
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e
c
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a
i
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d
opt
i
m
i
z
a
t
i
on
us
i
ng
ge
ne
t
i
c
a
l
gor
i
t
hm
s
f
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a
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t
or
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l
a
yout
,”
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r
nat
i
onal
J
our
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I
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c
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of
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t
or
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l
oc
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t
i
on
a
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l
a
yout
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c
ons
um
e
r
pur
c
ha
s
e
be
ha
vi
or
i
n
or
ga
ni
z
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d
r
e
t
a
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,”
M
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m
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bi
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t
a
a
na
l
yt
i
c
s
f
or
s
us
t
a
i
na
bl
e
r
e
t
a
i
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e
nvi
r
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nt
us
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A
pr
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-
M
a
pR
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w
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nki
ng
us
i
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s
e
m
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nt
i
c
w
e
b
m
i
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a
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ne
ur
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l
c
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put
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P
r
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P
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ul
t
i
l
e
ve
l
a
s
s
oc
i
a
t
i
on
r
ul
e
s
on
c
us
t
om
e
r
s
’
buyi
ng
pa
t
t
e
r
n
ba
s
e
d
on
s
a
l
e
s
t
r
a
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s
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udy
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n
r
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t
a
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,”
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nt
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r
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J
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ndu
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s
u
ppor
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c
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gor
y
m
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G
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nnot
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e
r
s
ona
l
i
z
e
d
m
a
r
ke
t
ba
s
ke
t
pr
e
di
c
t
i
on
w
i
t
h
t
e
m
por
a
l
a
nnot
a
t
e
d
r
e
c
ur
r
i
ng
s
e
que
nc
e
s
,”
I
E
E
E
T
r
ans
ac
t
i
ons
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K
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na
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ys
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s
us
i
ng
a
pr
i
or
i
a
l
gor
i
t
hm
t
o
f
i
nd
c
ons
um
e
r
pa
t
t
e
r
ns
i
n
buyi
ng
goods
t
hr
ough
t
r
a
ns
a
c
t
i
on
da
t
a
(
c
a
s
e
s
t
udy
of
M
i
z
a
n
c
om
put
e
r
r
e
t
a
i
l
s
t
or
e
s
)
,”
J
our
nal
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r
ke
t
ba
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ke
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na
l
y
s
i
s
f
or
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s
a
l
e
s
pr
om
ot
i
on
us
i
ng
F
P
gr
ow
t
h
a
l
gor
i
t
hm
,
c
a
s
e
s
t
udy:
G
r
a
m
e
di
a
M
a
t
r
a
m
a
n
J
a
ka
r
t
a
,”
J
our
nal
of
I
nf
or
m
at
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c
s
and
T
e
l
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uni
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E
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r
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gor
i
t
hm
f
or
m
a
xi
m
i
z
i
ng
di
s
pl
a
y
i
t
e
m
s
,”
T
e
l
k
om
ni
k
a
(
T
e
l
e
c
om
m
uni
c
at
i
o
n
C
om
put
i
ng E
l
e
c
t
r
oni
c
s
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ont
r
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“
A
n
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m
pr
ove
d
E
c
l
a
t
a
l
gor
i
t
hm
f
or
m
i
ni
ng
a
s
s
o
c
i
a
t
i
on
r
ul
e
s
b
a
s
e
d
on
i
nc
r
e
a
s
e
d
s
e
a
r
c
h
s
t
r
a
t
e
gy,”
I
nt
e
r
nat
i
onal
J
ou
r
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at
abas
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T
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r
c
os
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e
r
na
nde
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A
n
a
l
yz
i
ng onl
i
ne
t
r
a
ns
a
c
t
i
on da
t
a
us
i
ng a
s
s
oc
i
a
t
i
on r
ul
e
m
i
ni
ng:
M
i
s
um
i
P
hi
l
i
ppi
ne
s
m
a
r
ke
t
ba
s
ke
t
a
na
l
y
s
i
s
,”
I
C
I
T
’
19:
P
r
oc
e
e
di
ngs
of
t
he
2019
7t
h
I
nt
e
r
nat
i
onal
C
onf
e
r
e
nc
e
on
I
nf
or
m
at
i
on
T
e
c
hnol
ogy
:
I
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Sm
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L
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A
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M
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ke
t
ba
s
ke
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a
na
l
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s
i
s
f
or
a
s
upe
r
m
a
r
ke
t
ba
s
e
d
on
f
r
e
que
nt
i
t
e
m
s
e
t
m
i
ni
ng,”
I
nt
e
r
nat
i
onal
J
our
nal
of
C
om
put
e
r
S
c
i
e
nc
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t
h
a
l
gor
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t
hm
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s
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d
on
di
s
t
r
i
but
e
d
i
nt
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l
l
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ge
nc
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i
n
w
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dom
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c
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a
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I
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r
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e
duc
a
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i
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s
e
d
on
FP
-
G
r
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t
h
a
l
go
r
i
t
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,”
I
n
t
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r
nat
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J
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ba
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t
a
na
l
y
s
i
s
t
o
de
t
e
r
m
i
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c
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um
e
r
pur
c
ha
s
i
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pa
t
t
e
r
ns
us
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FP
-
G
r
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t
h
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A
p
r
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or
i
a
l
gor
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t
hm
,”
I
nt
e
r
nat
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C
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on
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put
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r
Sc
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I
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T
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c
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c
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FP
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,”
I
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e
r
nat
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C
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nc
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N
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s
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FP
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r
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t
h
a
l
gor
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t
hm
on
r
e
t
a
i
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s
a
l
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s
da
t
a
,”
I
nt
e
r
nat
i
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C
onf
e
r
e
nc
e
on
E
l
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c
t
r
i
c
al
E
ngi
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r
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C
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p
ut
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r
Sc
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t
he
gr
oc
e
r
a
nt
:
pa
t
r
ons
’
in
-
s
t
or
e
di
ni
ng
e
xpe
r
i
e
nc
e
s
a
n
d
c
ons
um
pt
i
on
be
ha
vi
or
s
a
t
gr
oc
e
r
y
r
e
t
a
i
l
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our
nal
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t
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a
c
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l
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t
y
l
a
yout
w
i
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h
l
e
a
n
s
e
r
vi
c
e
a
nd
m
a
r
ke
t
ba
s
ke
t
a
na
l
ys
i
s
m
e
t
hod
t
o
s
i
m
pl
i
f
i
c
a
t
i
on
o
f
s
e
r
vi
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pr
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s
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i
ve
r
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t
a
i
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l
a
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m
a
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ke
t
ba
s
ke
t
a
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s
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s
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udy
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T
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3r
d I
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e
r
nat
i
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C
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r
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nc
e
on B
us
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n
e
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E
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ypt
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l
pl
a
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a
yout
de
s
i
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i
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T
i
m
o
r
T
e
nga
h
U
t
a
r
a
R
e
ge
nc
y
us
i
ng
a
c
t
i
vi
t
y
r
e
l
a
t
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hi
p
c
ha
r
t
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m
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t
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J
ou
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nal
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of
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r
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ha
ndi
s
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ng
a
nd
pr
i
c
i
ng
s
t
r
a
t
e
gi
e
s
on
c
ons
um
e
r
buyi
ng
be
ha
vi
our
–
a
c
r
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s
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s
e
c
t
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ona
l
s
t
udy of
hype
r
m
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ke
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l
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on
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om
e
r
pr
e
f
e
r
e
nc
e
s
w
i
t
h
t
he
i
m
pl
e
m
e
nt
a
t
i
on
of
M
S
2400
-
3
ha
l
a
l
r
e
t
a
i
l
i
ng
s
t
a
nda
r
ds
(
i
n I
ndone
s
i
a
n:
R
e
de
s
ai
n t
at
a l
e
t
ak
p
r
oduk
be
r
das
a
r
k
an p
r
e
f
e
r
e
ns
i
pe
l
anggan de
ngan pe
ne
r
apan
s
t
andar
hal
al
r
e
t
ai
l
i
n
g
M
S
2400
-
3
)
,”
U
nde
r
gr
a
dua
t
e
T
he
s
i
s
,
D
e
pa
r
t
m
e
nt
of
I
ndus
t
r
i
a
l
E
ngi
ne
e
r
i
ng,
F
a
c
ul
t
y
of
I
ndus
t
r
i
a
l
T
e
c
hnol
ogy,
U
ni
ve
r
s
i
t
a
s
I
s
l
a
m
I
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bl
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om
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t
r
i
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s
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udy
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s
oc
i
a
t
i
on
r
ul
e
-
m
a
r
ke
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s
ke
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a
na
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,
”
I
nt
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r
nat
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J
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r
i
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k
now
l
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dge
i
n
dat
a:
an
i
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r
oduc
t
i
on
t
o
dat
a
m
i
ni
ng
.
H
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n,
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Evaluation Warning : The document was created with Spire.PDF for Python.
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c
om
pl
e
m
e
nt
i
ng a
s
s
oc
i
a
t
i
on r
ul
e
s
w
i
t
h m
i
ni
m
um
s
pa
nni
ng t
r
e
e
s
,”
E
x
pe
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Sy
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xt
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a
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i
on r
ul
e
s
:
m
a
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ke
t
ba
s
ke
t
a
na
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s
c
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t
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”
I
nt
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r
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J
our
nal
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or
:
e
m
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l
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om
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n
i
nduc
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m
pul
s
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pur
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ha
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nt
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r
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m
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f
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ni
t
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a
na
l
ys
i
s
a
nd
a
s
s
o
c
i
a
t
i
on
r
u
l
e
m
i
ni
ng
us
i
ng
a
pr
i
or
i
a
l
gor
i
t
hm
i
n
m
a
r
ke
t
ba
s
k
e
t
a
na
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ys
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,”
I
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r
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i
onal
J
our
nal
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A
dv
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s
e
a
r
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n C
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Sc
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B
I
O
G
R
A
P
H
I
E
S
O
F
A
U
T
H
O
R
S
Roaida
Yanti
is
an
industrial
engineering
graduate
from
the
Facult
y
of
Industrial
Technology,
Universitas
Islam
Indonesia,
Yogyakarta.
She
was
a
Data
Mining
Laboratory
Assistant. S
he actively conducts
research and
publishes arti
cles.
She is
interested in op
eration
s
research,
logisti
cs,
halal
supply
chain,
and
industri
al
engineering.
Sh
e
can
be
contacted
at
email:
roaida.yanti@
alumni.ui
i.ac.id
.
Qurtubi
is
an
Associate
Professor
in
the
Department
of
Industrial
Engineering,
Faculty
of
Industr
ial
Techn
ology,
Univer
sitas
Islam
Indone
sia,
Yogy
akar
ta.
He
obtaine
d
his
doctoral
degree
in
the
area
of
logistics
performance.
His
res
earch
interests
are
marketing
logistics and s
upply chain
manageme
nt.
He can be contacted at email:
qurtubi@
uii.ac.id
.
Danang
Setiawan
is
an
Assistant
Professor
in
the
Department
of
Industrial
Engineering,
Faculty
of
Industrial
Te
chnology,
Universitas
Islam
Ind
onesia,
Yogyakarta.
He
is
Secretary
of
the
International
Undergraduate
Program
(IUP)
of
the
Industrial
Engineering,
Faculty
of
Industr
ial
Techn
ology,
Univer
sitas
Islam
Indone
sia.
Hi
s
resea
rch
intere
sts
are
optimization,
simulation,
enterprise
resource
planning,
and
business
p
rocess
improvement.
H
e
can be cont
acted at em
ail:
danang.setiawan@uii.ac.id
.
Prita
Nurkhalisa
Maradjabessy
is
an
undergraduate
at
the
Department
of
Industrial
Engineering,
Faculty
of
Industrial
Technology,
Unive
rsitas
Islam
Indonesia.
Currentl
y,
she
serves
as
an
Assistant
in
the
Data
Mining
Labora
tory.
Her
resea
rch
interes
ts
are
marketing
logistics,
customer
segmentation,
and
industrial
engineer
in
g.
She
can
be
contacted
at email
:
prita.maradjabessy@students.uii
.ac.id
.
Nasruddin
Faisol
is
a
Senior
Lecturer
of
Quantity
Surveying
at
the
Universiti
Teknologi
MARA
(UiTM),
Shah
Alam,
Malaysia
.
He
holds
a
Dipl
oma
and
a
Bachelo
r
of
Quantity
Surveying
from
the
UiTM
and
joined
UiTM
as
a
lecturer
in
1993.
Graduated
with
a
master’s
degree
in
construction
manageme
nt
(with
Project
Manage
ment)
(with
Distinction)
from
Glasgow
Caledonian,
UK
in
1998
,
and
obtained
his
doctoral
degree
from
Loughborough
University
,
UK
in
the
area
of
inter
-
organizational
relationships
in
the
construction
supply
chain.
He can be contacted at email:
nasru793@
uitm.edu.my
.
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