Lampirall I: Hasil distribusijittilJg
C" •• _ . , . ... h'~.~ ... _ j
Density Trace for Large
D.S
Large
,
"
I ....
l.G
IX 100000)
Th15 analysis shows the results of f1tt1ng a Weibull distr1Dution
to the daca on Large. The estimated par&~et€rs of the fitted
.,..~, 0.-- '" ,..J~ -F¥::J. ... -=... ~~ C"~,....~ ... ,.+-~ .... __
~'C··r1er
!.irni~
WJPper
Li~i't Freque~(;':: ,.. ... _C!' ... • • • • _ ''''''~V __ ::>_.,.. ' ' _ '.
at or below 7554, 83 2
7554, 83 15274, 3 4
,
.:::."""'A ? 2??f:!. ~ ~--"" "
.
22~El,- (\ .., ... '1.
...
0::. ... :.., C.,,,"", 0 E 4"'')~?, n ? _ .. ' - _ .. f
.a:10l\<! r () ';1\~'21, 1 ';
(4(:'1, ! ?:'''''':?:,
.
~J:)7.·!e 9~"?"?2, 1 ~
Chi-Square
=
8,18919 with 5 d.f. P-Value=
0,146113Kolmogorov-Sncirnov D
Anderson-Darling A·Z
0,149111
0,984092
('\ .. n 1"\" ...
• ' l ~.~
;-'.;;...:.-0,907006
1,v164~
4, 63 4, 63
.
C?..
.
-~, E2
.
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~-?I\/~:,
"
"
1, c . €?<0.01*
<O.O~.,.,
1, 0,
"
"
.,
~
"
n
,
"
'Indicates that the P-Value has been compared to tables of critical values
5pec~ally constructed for f1tt1ng the currently selected d15tr1hut10n.
This pane shows the results of tests run to determine whether Large
can be adequa~ely modeled by a We~bull discribution. 'The ch~ -square
49 08
,
. 4""
C~
'"
C~
Density Trace for medium
(J
CA
~~~~~~ ~v'~~~ ~~~~~~~.,+~~~.
~~- ... '-~ ~~~-
..
~ ... ---.~ ...-
...
. ~ .~ I .... ('Id'!'\-,.., ~ ' J . J . . . ~ ... -..., ...c:.".,
(J.S
medium
"('IJlClnn rI.
-~-~~
-
,-L6
(X 100000)
d':'~'t:.::::"bt!-t:':':-:: ~it~ the da";,~ ad~-:;·..!;:te!r
b::-
s,,:::l'Zct':":,,:; '3ccd!'!ess-o~-F::"tLir:t:'~ !.i~.i t Ch~-Sqf1arf>
at or below
20163,7
?()OO""J 0 -'~ '. ~ . I •
""Jno,:"c ~
. . , " . -~. f ~
~.'2.~·~1; ..
9(7~[f~
11·~·~·1.~.~. 1 (\
20163,7 30897,9
€~2:!'5#C;:
1'nq~~~€.
(\ ... p~1 ...,
... ~ ~ ~ f
. ~ ... _.
-.
4
10
11
Chi-Square
=
25,8682 with 9 d.t. P-Value=
0,00214691~(:, ~;;:,:··;·:·~-::-,~-~;mi !:T::':::~.T ~. ..D.~,~,,=,,!"~(:'~-!"e-=-!i~7 .n ... ~
,., ... O,c""J01
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n M
'- ,
l(
:.4-'":" ~"t:
...
,
...-*Indicates that the P-Value has been compared to tables of critical values
specially constructed for fitting the currently selected distribution.
This pane shows the results of tests run to determine whether
medi~ can be adequately modeled by a Erlang distribution. The
("?'::'-s~:.:~~e te,S't d.!!.~ide,S' t~e ~~:!~e (:~ !:!e=i:.:~ i::~-= :?-=:?c::· ... e=:-:!.aF;i:::-;
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_ •• ..- .. ., ... ~;~.= --'~e-~"'';'''''''''';'''''''' .-,F ... =-'.; ... "' ... 4 f,o-)..,.",- ... ,...r.-~ ~J..",," ~';".,.. ... -' r ... ., . .,. ... ~ ~-.,.-~~.-
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-_
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- ~~,. ~...
-
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' .. ;~ -"..., ~::-':~pt. ":h~ i-d~a ":.hat. !!,;~"ji~ .. ·t :.,:·m~s f!"';"·!!', -a Y:-l-a:r:,;
Density Trace [or Small
~
Small
{X }OOOOO)C" . . ~;>_~~
-
._---
-.'Th1S analys1s shows the results of f1tt1ng an exponent1al
d1stx1but1on to the data on Small. 7hc esc1u~ted parameters of the
3.s;ses;:; ·~·isu3.11/
r-.G:','
~\'e:": ~~.e E::q::cne~~ia::' ·:l:'st.:::'':::'l..1t.:'cr. !it.3 t:,'selecting Frequency H:'s~·-=g=a.= ~=c:r_ ~r:.r:! .!.:.~~
==
-:;=!:.;:h:'=:::.!. C'p~i=::.!:_Ot:;-~e-r ;Jpt:_L~ns ;.~~t.hL-. ~:-.2 pl:~c.ej:,.u=E- .,::':0::-''; ::-O::~
':::::
;:'~~'''f::..;.t.e ..:t~-i.d .j:'3pla~'"'~'-A-~C.~
_.-:::---l.-l!r.l t .!.i~ltat or below 26171, 9 2 2, 83
26171, ~ 50203, Ii
"
~, 83s;o~n? ? 9?~00 1
"
.,.
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-:.
e.,..,. ... A n~2
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-~ -
-.
'.~"::IJ:".~'r~" ,,;~<C) .... C) ? ? .. ~~
Chi-Square
=
14,4118 with 4 d.t • P-Value=
0,00609046Kolmogorov-Sndrnov D
Ande.:::scn-DaI.1.l.rlg A-'" ~
. . . C'<:" ... ....
. ", ... ' ... .;..
V::\l'.;"!-0,288176
. ",,~~,,!)I""~e- = ,., ,.,C"C" ... !" .... ,. ... v~, ~-,::" '". _ ~
1,24506 <0 .. (15*
0, 0,
.,.
--.'
o.
"
*Ind1cates that the P-Value has been compared to tables of cr1tical values
sp€c~ally constructed tor fitt~nq the currently selec~ed dis~ribution.
-:t.h-z:!' "E.'C-F st.a'tist.i":.!!: cc,~.are: t.he e-rr-,pirical '1ist.ributi":'n fun-;:ti':<n t.':,
tho;?; f::'tte-:d ~:'F ir: d::'ffe-::rej.~_ ";ay~.
:-.:71! 'fit ca.r~ acc-ei-'t ~te ide::. that Srr:=:.l: CC"-!C€:S f::crr: c.t:: e:"'-1:-c,n.er-:t:'c.:
-.!i5't~i::-;:t.i-::;n ".t~ith ?~'l -::.:Jnfidence.
62
25
48 0.,
.... 'J
~~
63
Lampiran
1:
Perhitungan Matriks Insidensial terhadap kuantitns
Bobot
pada matriks
ini
dihitung melalui banyaknya sarong tangan yang
dipindahkan
pada
tiap
kali
firing
sehingga:
T 17 T2 mempunyai bobot 1 karena pemindahan sebanyak 1 karung sarong
tangan berisi 60 dzp
dan
tidak ada perubahan kuantitas disini.
127 13-18 pemasangan
pada
mesing sebanyak 43
dzp
sehingga bila
dihitung
bobotnya:
N= 43/60
=
0.717
13-187 19 tidak mengalami peru bahan, atau bobot dapat dianggap sebagai
1
karena proses ini hanya bersifat sebagai transfer saja menuju buffer
1'971'10 mengalami perpindahan sebanyak 30 dzp menuju mesin buffer setter
sehingga bobotnya herubah menjadi.
N= 30/60
=0.5
1107 111 mengalami perpindahan dati buffer setter menuJu mesin setter
sebanyak 24
dzp
sehingga bobotnya:
N~
24/60
=0.4
1117 112 sarwig tangan yang sudah dipacking dari setter menuju operator
Lampiran
3:
Tampiiall dall Bahasa Pemrogramall Jaril'gall Petri dellgan
65
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~nd
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begin
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End;
f~;uffer[18/1}'>=24)
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:=
False;
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begin
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End Else
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begin
Bufferi19,21 != Bufferi19,21
+
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:=
Bufferf18,2] - 24;End
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begin
Buffer[19,3] ;= Buffer[19,3J +- 24;
Buffer [18, 3J := Buffer [lSr 3] - 24;
En.d;
I f Idle[llrCounter[ll].l>O then
Counter- [111 : =
counter
{ll] + 1;If t (Buffer[15,l}=O, and (Buffer[15,2}=O) and {Buffer[15,3}=O)
and
~BufferL16/1}=O)
and (Bufferi16,2}=O) and (Bufferi16,3)=O)
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and{Bufferil;,3}=O)
ar~d
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and (Buffer[18,2]=O) and (Buffer[18,3]=O»
:?roses(4)<38S) or (Proses(5)<388) or [Froses[6]<3SB) or
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74
If ({Buffer[l5,l]>GJ or (Buffer[15,2J>a~
and rPrcsesf4)<38B) t.hen.
(Bufferr15,3J>a~~
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: f ({Bufferi16,l»O) or {Buffer[16,2»O} or (Bufferr16,3j>O)}
and {Proses[5]<388} then
Proses[5] := Proses(5) ~ 1;
If ({Buffer[l~?.ll>O} c.r (Buffer[17,2}>C) c·r (Buffer[:;f3~>C.~~
and {Proses(6)<388) then
Proses (G} ::;;;; Prc-SeS [6} ..;. 1;
:r
{{BufferilSrlJ>O) or (Buffer[18 r 2]>O) or (Buffer[lSr3]>O»
IP~~aD~r71<~pp\ ~ha~
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Prose.s'L11 := Prose.s'L1)
+
1;End;
Proced~re Transisi12;
: f ~Bufferi19,l~<>=60) or {BufferE19,2}>=6G) ::)'r
(Buzfer[19
t3]>=£.C.;
thaTI
begin
BDffer[19t l] := Buffer[19,l} - 60;
End
Else
If Buffer[19,2]>=60 then
begin
Buffer[20,2] Buffer[19,2]
:= Buffer[20,21 ~ 60;
End
ElSE
~- Buffer[19,2]
If Buffer[19,3]>=60 then
begin
6
1'1· v,Buffer[20,3] Buffer[20,3] + 60;
Buffer{19,3]
:=
Bufferr19,3] - 60;End;
If Idler12,Counter(12))>O then
Counter [12J := Couf.:.ter (12J 4- li
End
Else
IdleI12 / Cc1J.nter[1211
e=
Idle[12,Counter[1211+
1;End;
procedure TFGrml.EditlKeynown(Sender: TObject;
'\!~ar Ke~i: ~'1ordjShift: TShiftState);
VaT LaIrtaSimulasi, Simul.s.si: Integer;
Lapor: Array(1.~12] ~f Integer;
LastC.ount: Intel!Jer i
LastCount2: Integer;
be(;rin
If Key=l} thE;}·.:
be9in
! f
Editl.Text
<:> "then
b·-e·':J ir::
Tnisialisasi;
SimlJl asi :
=
{1;Lau.tctSimulEl.si ~= 3trTolnt~ {Editl. 'I'e:xt);
Whi 1 e Simul aSl <1,amaSimul asj j;.-:
beljin
Transisil;
Transisi2;
Transisi3;
T.ransisi4;
T f:ans-lslE<;
Transisi'7:
Lransisi8;
TranS.1si9;
'1'ransisil0j
Transis:ll;
Transisi12;
Simulasi
:=
Simu~a5i ~1;
End;
:= .1
Lapor[LdstCount}
For L.astc:ount
:= _
~=
0;
to
do
do
For LastCount2 :
=
1 to Counter- [LastC'ount1
doldle~La3tCount,LastCount21;
For LastCount ::::: 1 to
:.~de·
StringGridl .. Cells(l,LastCount} .-IntToStr {Lapor [LastCe·unt] ) ;
Endi
End;
end;
procedure TForml.FormActivate(Sender: TObject)
Var Count: Integer;
begin
Randomize;
StringGridl .. C.ell.s[l,O} !== ~Idle time1 ;
F.:)r CC1ur.!.t :
=
1 t.:: 12 dc,S tringGridl. Cells [0, CO!JntJ : =
' t '
+IntToStr (Count') ;end;
end.
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Time Series Oldest,BUFFER STOCK 7;' 0
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--- --- ---
---{null) Shift C: \My Documents \DEE'INESH IF'T. sft
---General Report
Output from C:\HY Doouments\TA\modeltarev-l.MQD
Date: Jan/04/2001 Time: 04:33:09 AM
---Scenario Normal Run
Replication 1 of 1
Simulation Time 168 hr
---LOCATIONS
Average
Location Scheduled Total Minutes Average HaJl:ilnUlll
N _ Hours Capacity Entries Per Entry Contents content.
--- ---
---
---
--- ---_
...._--
--_
...
_---MESIN DO'l'TING M1 168 86 3821 16.095736 6.10137 67
MESIN DOTTING M2 168 86 3932 52.670562 20.5457 72
MESIN DO'l'TING L 168 86 12618 16.778908 21.0036 86
MESIN DOTTING S 168 86 20551 5.499337 11.212 86
MESIN DOTTING M3 168 86 3953 44.759149 17.5529 71
MESIN DO'l'TING M4 168 86 3860 53.161004 20.3573 73
SET'l'EP. 1 134.2166667 130 12334 4.537605 6.94981 130
SETTER 2 134.2166667 130 12135 4.556991 6.86689 130
SET'l'EP. 3 134.2166667 130 12176 4.556428 6.88924 130
SETTER 4 134.2166667 130 12003 4.570447 6.81225 130
Operator 134.2166667 100 6198 4.200000 3.23253 100
Operator2 134.2166667 100 6077 4.200000 3.16943 99
Operator3 134.2166667 100 6000 4.200000 3.12927 100
Operator4 134.2166667 100 6108 6.129071 4.64875 100
Operator5 134.2166667 100 8670 4.200000 4.52119 100
Operator6 134.2166667 100 5999 4.200000 3.12815 100
Operator7 134.2166667 100 6015 4.200000 3.13709 100
Operator8 134.2166667 100 6140 4.200000 3.20228 100
BUFFER STOCK 168 720 49455 146.006693 716.345 720
l~TION STATES BY PERCENTAGE (Multiple Capacity)
"
Location Scheduled
"
Partially It I ItPage 1
CUrrent
contents , util
---
...._----5 7.09
20 23.89
18 24.42
7 13.04
17 20.41
20 23.67
0 5.35
0 5.28
0 5.30
0 5.24
0 3.23
0 3.11
0 3.13
0 4.65
0 4.52
0 3.13
0 3.14
0 3.20
Name Hours Eq>ty OCQUpied Full Down
---~--
---
---~~---MESIN DOTTING M1 168 0.02 99.98 0.00 0.00
MESIN DOTTING M2 168 0.02 99.98 0.00 0.00
MESIN DOTTING L 168 0.03 96.08 3.89 0.00
MESIN DOTTING S 168 0.02 94. 69 5.29 0.00
MESIN DOTTING M3 168 0.02 99.98 0.00 0.00
MESIN DOTTING M4 168 0.05 99.95 0.00 0.00
SETTER 1 134.2166667 93.93 0.89 5.18 0.00
SETTER 2 134.2166667 93.93 1.25 4.82 0.00
SETTER 3 134.2166667 93.93 1.35 4.72 0.00
SETTER
4
134.2166667 93.93 1.66 4.41 0.00Operator 134.2166667 95.44 4. 54 0.02 0.00
Operator2 134.2166667 95.44 4.56 0.00 0.00
Operator3 134.2166667 95.44 4.56 0.00 0.00
Operator4 134.2166667 94.65 2.28 3.07 0.00
OperatorS 134.2166667 95.29 0.32 4.39 0.00
Operator6 134.2166667 95.44 4.52 1).03 0.00
Operator7 134.2166667 95.44 4.55 0.01 0.00
Operator8 134.2166667 95.44 4.52 0.04 0.00
IilUFFER STOClt 168 0.01 3.41 96.58 0.00
FAILED l\lUI.IV.ALS
Entity Looation Total
Name N _ Fa:l.led
---
----_
....---SARONG TANGAN $ SUFFER STOCK 58367i
SARONG TANGAN M SUFFER STOCK 589157
SARONG TANGAN 10 SUFFER STOCK 592111
J:NTITY ACTIVITY
Average Average Av .. rage Average Average
Current Minute. Minutes Minutes Minutes Minutes
Entity Total Q\lant.itv In In Mo_ Wait For In
Name Exits In System System Logio Res, etc. OpElrati<>n Bloc:ked
---
---_._--
--.----_
...._----
---..---- --~.----...
-
---..._--SARONG TANGAN S 17948 579 20.707()59 0.000000 0.937241 8.0618:l0 11.707988
SARONG TANGAN M 15504 139 12.918755 0.000000 2.122485 7.467000 3.329271
