Collective Approach for Repair time Analysis.
rc
-&-
ltl#
lv%fr
@IEHH
,i
'=
1l:
,',i
i ,/,' .'ii i
''i::'"/''//'/
i "'
/-/
--
,'
'
Abstracts
131
--::alvsis of the set of all cycles in a reachability graph of a system could bring new and useful insight
::,: the system's behavior. This paper presents a method for computation of all cycles in a reachability
:::.ph. The method is based on structural reduction of the state space, followed by an encoding - decod- ; procedure applied to the reduced set of states. The proposed approach is believed to be beneficial
::h respect to memory constraints.
Collective Approach for Repair time Anatrysis
TPC1E.4
l'1.A Burhanuddin*, A.R. Ahmad** and M.I. Desa+
' --',ttomation group in Intel Technology Malaysia
"' lniaersiti Teknologi Malaysia
t
-
Kolej Uniaersiti Teknikal Kebangsaan Malaysia
\lachine downtime can be defined as a total amount of time the machine would normally be out of
.ervice from the moment it fails until the moment it is fully repaired and back to operate. Once a unit
:rperiences a service downtime or dor,vngrade, the covariates or risk factors can directly impact on the
ielay in repairing activities. Our studv rer-eals the model to identifv the potential risk factors that either
jelay or accelerate repair times, and it also demonstrates the ertent of such clelar-, attributable to specific
:isk factors. Once risk factors are detected, the maintenance plann€rS ant-i n'.ail'.te:..ar.ce s'.:re:r-:.=o:s are
-th'are of the starting and finishing points for each reFaittnairr'c ;:-:i :.. :l'.t: ;::-': i:'.-'.'.--:;=-. -..i'.- -: ::=
potentialbarriers and the facilitators. There are not nran\-su:icler.t sr-:iles n'.ait i:'' :i.e :::-::,-.::-':'. --:
artificialintelligencetechniquestoaccesstroubleshootirrqactitl:iesa:i:ai-,',-;','>:e^ar,
l:t:;;::-.=:,'..:...::--:-.
rn a verbal sense and yet is not dealt n-ith mathematicalh-. The propose.i :h;cir-er.ter.ig.i fn.--r.- i;;.;i
Thomas & Yan [1] models using either semi-parametric or non-paraneiric approaches of reiia'r'iliir
analysis to examine the relationship betu'een repair time and r.arious risk factors of interest. Then the
models will be embedded to neural networks to provide better estimation of repairing parameters. The
proposed models can be used by maintenance managers as a benchmarking to develope quality service
to enhance competitiveness among service providers in corrective maintenance field. Also the models
can be deployed farther to develop a computerized decision support system.
Network-based Support System for Decentralized Scheduling of
Distributed Production Systems through Man-Machine Collaboration
TPCl"E.5
Hisaaki Yamaba, Seigo Kaneizumi and Shigeyuki Tomita
Uniaersity
of
Miyazaki
In these days, many production systems are consist of several "production base" and such bases are
distribuied in wide area. And they also form "Production Networks" such that each plant/factory produces intermediate materials of parts for other plants/factories. In order to operate such production
networks efficiently, it is indispensable that some rational and sound operational strategy for realizing cooperative operation. In this work, "Behaviour Model" of scheduling activities in decentralized
production networks was developed and the validity was confirmed. Next, a network-based support
system for decentralized scheduling of distributed production systems through man-machine collaboration was developed based on the model together with the concept of "Remote Schedulin". A series
of experiments were carried out in order to confirm that the model production system managed under
the behaviour model could keep sound operations.
Tuesday, 15"Au9"2006
N*lakatta. C.ErV".FeW ,€E
Tutoriaf f : Designing Robust Wireless Communications for Factory Floors, Dr. P.S.
Professor of Department of ElectricalEngineering, Florida Atlantic University, USA
Tutorialll: Decision Support Systems/lntelligent
Maintenance Systems for
lhnuffiurirry md DEdSr
Dr. Ashraf Labib, Fellow lEE, Fellow ARS, and C. Eng
Professor of )perations and Decision Analysis, Department of Strategy and Business Systems 1SBS'.
Pcrsrqrn
*.srw
ie"uo
il%
University sf Portsmouth, UK
Tutorial lll: Service-orienled Architectures in Industrial Automation
Harm Smit, Schneider Electric, Science & Technology Department, Grenoble, Frarree
lvan M. Delame6 lnstitute of Production Engineering, Tampere University of Technohgy. Tanpere.
F{'sn
KeVnote
Systems
Integration of Manufacturing and Service
i
'\
ttot,tmd,Bhafiacharyyan Wanr,ick Manufacturing Group at The University af Waruick, UK
l
Coffee Break
TFC1A
TrclS
Call*borative Han siacturi *c
l&Qu itous $ensu*E'aefq.wmrp
and
Servi*
lSffi
Fqrqffi'rt#,l;mwuuwmry
ntuffr
netrwwryk
nr
dumfr:8,wnE
Ltrc.
firb+{
{pt
TPCSB
{.}biquft*us $ensors'ectu{8.tflrils
ffitffis
,
f;,m.ffiMmr-
aM,
1,*,e
rFF
Mrul g
elt"*res
q&e
rru
$,iiWrn
J$$TffirTstltlru
$gn",*rw*Fmnrm
*ut:ri
Energi*g Tre*ds nf l*dus#h? I S*eery
lnfarstatics
ffimd',n
Mrymm#i.lt
TFfiJ#
tufrs
$*r.rlug*Cnermn lirnmrltemulpt
lm,$mur,mffi ss
mr
i
Wmmuninmrurltnmg
$#wlr
Spqdilffi
Kevnote
08:30
-
Service C*entgd A,rchltectiire i$CAr
09130i
i
I
Frgfess*r F**dhisa K*rnod,a,
fra
ilnivg,lsrtrli
i
lrn
uat* S,cf,*,tl ui {tt-{'g'r
[n$us,,tnm
aftu
,,1,sliu'*rs
Sc.n'nn'u,g
,srll Ts;.rlt
riiluti*
l:$dl;
y{,fi,ffin
|{Erp''rrs{
1'lA'in
YVIYV
-
1n,ln
Y'T9
i**.;';
i ll
l.(inf
'-r
i'1
" nn
-3cr-ir:.;es g-': l3'?l
;-i.e-
$, Se'fl.,i{{
\i.r,|ls Sl'q,S,Ll$,nl &
tl
'u$'A
'l
(
\
F
I
?l
i**"r:.- :fis;4'::",';
i:hi 'i ag;q-*I,il,r[|r iLr:u,Hr E,-rffr$:r*' E.]rr3[t'ul i"l
"': -'i ::
*-,dffi
'1
3:00
^^-'
'
Tp0?A
I
Wy**,
ItxSUsftH bl$e{fis
i
'.res;Hknagsr€nt.*
'ittti"q(i
,w
'T-rc4ff
Ssnrk*ftffid
$ffiffid.
Ar$*teufirsne
- 14;00
-
F
nffifi['e
I r nnh
L
.t
|-
hnmmwxw
l$*tssw'*ilsd
i
TFfiffi
14:00
-
16:00
l*ts{$iryffit furht'mmttm
Coffee Break
FA*"ffi
::
btil.#:
.lTirdess $fimffixr
nclryks mnr
Coffee Break
Lunch
Coffee Break
Conference Reqistration
Date
Time
2006 16:00 - 19 00
16 Aug 2006
00 - 15 00
17 - l8 Aug 2006 08 00 - 12 00
15 Aug
C7
ven ue
Fcyer o{ R verfront Ba
lrocm Grano r^nrtcr'rr0 V/aierf ront Hotel [evei
2
Hotel [evei
2
Fcyer ol R verfront Baliroom Grand Copthcrne V/arerf ront
Fcyer of R ver'f1ep1 Ba
roon Grand Ccp.rorne Waterfront lotel
Level
2
Welcome Reception
Venue
Time
Date
15 Aug 2006
1
8:30
-
21
00
Dress Code
The Prornenade Grand Copthorne Waterfront Hotel Levei
1
Smart casual
Gala Banquet Dinner
Date
2006
17 Auq
Time
19:00
-
22:00
Venue
Grand Ballroom l, Grand Copthorne Waterfront Hotel, Level
4
Dress Code
Smart casual
{rmwt
$Emimwnmlmriit
-&-
ltl#
lv%fr
@IEHH
,i
'=
1l:
,',i
i ,/,' .'ii i
''i::'"/''//'/
i "'
/-/
--
,'
'
Abstracts
131
--::alvsis of the set of all cycles in a reachability graph of a system could bring new and useful insight
::,: the system's behavior. This paper presents a method for computation of all cycles in a reachability
:::.ph. The method is based on structural reduction of the state space, followed by an encoding - decod- ; procedure applied to the reduced set of states. The proposed approach is believed to be beneficial
::h respect to memory constraints.
Collective Approach for Repair time Anatrysis
TPC1E.4
l'1.A Burhanuddin*, A.R. Ahmad** and M.I. Desa+
' --',ttomation group in Intel Technology Malaysia
"' lniaersiti Teknologi Malaysia
t
-
Kolej Uniaersiti Teknikal Kebangsaan Malaysia
\lachine downtime can be defined as a total amount of time the machine would normally be out of
.ervice from the moment it fails until the moment it is fully repaired and back to operate. Once a unit
:rperiences a service downtime or dor,vngrade, the covariates or risk factors can directly impact on the
ielay in repairing activities. Our studv rer-eals the model to identifv the potential risk factors that either
jelay or accelerate repair times, and it also demonstrates the ertent of such clelar-, attributable to specific
:isk factors. Once risk factors are detected, the maintenance plann€rS ant-i n'.ail'.te:..ar.ce s'.:re:r-:.=o:s are
-th'are of the starting and finishing points for each reFaittnairr'c ;:-:i :.. :l'.t: ;::-': i:'.-'.'.--:;=-. -..i'.- -: ::=
potentialbarriers and the facilitators. There are not nran\-su:icler.t sr-:iles n'.ait i:'' :i.e :::-::,-.::-':'. --:
artificialintelligencetechniquestoaccesstroubleshootirrqactitl:iesa:i:ai-,',-;','>:e^ar,
l:t:;;::-.=:,'..:...::--:-.
rn a verbal sense and yet is not dealt n-ith mathematicalh-. The propose.i :h;cir-er.ter.ig.i fn.--r.- i;;.;i
Thomas & Yan [1] models using either semi-parametric or non-paraneiric approaches of reiia'r'iliir
analysis to examine the relationship betu'een repair time and r.arious risk factors of interest. Then the
models will be embedded to neural networks to provide better estimation of repairing parameters. The
proposed models can be used by maintenance managers as a benchmarking to develope quality service
to enhance competitiveness among service providers in corrective maintenance field. Also the models
can be deployed farther to develop a computerized decision support system.
Network-based Support System for Decentralized Scheduling of
Distributed Production Systems through Man-Machine Collaboration
TPCl"E.5
Hisaaki Yamaba, Seigo Kaneizumi and Shigeyuki Tomita
Uniaersity
of
Miyazaki
In these days, many production systems are consist of several "production base" and such bases are
distribuied in wide area. And they also form "Production Networks" such that each plant/factory produces intermediate materials of parts for other plants/factories. In order to operate such production
networks efficiently, it is indispensable that some rational and sound operational strategy for realizing cooperative operation. In this work, "Behaviour Model" of scheduling activities in decentralized
production networks was developed and the validity was confirmed. Next, a network-based support
system for decentralized scheduling of distributed production systems through man-machine collaboration was developed based on the model together with the concept of "Remote Schedulin". A series
of experiments were carried out in order to confirm that the model production system managed under
the behaviour model could keep sound operations.
Tuesday, 15"Au9"2006
N*lakatta. C.ErV".FeW ,€E
Tutoriaf f : Designing Robust Wireless Communications for Factory Floors, Dr. P.S.
Professor of Department of ElectricalEngineering, Florida Atlantic University, USA
Tutorialll: Decision Support Systems/lntelligent
Maintenance Systems for
lhnuffiurirry md DEdSr
Dr. Ashraf Labib, Fellow lEE, Fellow ARS, and C. Eng
Professor of )perations and Decision Analysis, Department of Strategy and Business Systems 1SBS'.
Pcrsrqrn
*.srw
ie"uo
il%
University sf Portsmouth, UK
Tutorial lll: Service-orienled Architectures in Industrial Automation
Harm Smit, Schneider Electric, Science & Technology Department, Grenoble, Frarree
lvan M. Delame6 lnstitute of Production Engineering, Tampere University of Technohgy. Tanpere.
F{'sn
KeVnote
Systems
Integration of Manufacturing and Service
i
'\
ttot,tmd,Bhafiacharyyan Wanr,ick Manufacturing Group at The University af Waruick, UK
l
Coffee Break
TFC1A
TrclS
Call*borative Han siacturi *c
l&Qu itous $ensu*E'aefq.wmrp
and
Servi*
lSffi
Fqrqffi'rt#,l;mwuuwmry
ntuffr
netrwwryk
nr
dumfr:8,wnE
Ltrc.
firb+{
{pt
TPCSB
{.}biquft*us $ensors'ectu{8.tflrils
ffitffis
,
f;,m.ffiMmr-
aM,
1,*,e
rFF
Mrul g
elt"*res
q&e
rru
$,iiWrn
J$$TffirTstltlru
$gn",*rw*Fmnrm
*ut:ri
Energi*g Tre*ds nf l*dus#h? I S*eery
lnfarstatics
ffimd',n
Mrymm#i.lt
TFfiJ#
tufrs
$*r.rlug*Cnermn lirnmrltemulpt
lm,$mur,mffi ss
mr
i
Wmmuninmrurltnmg
$#wlr
Spqdilffi
Kevnote
08:30
-
Service C*entgd A,rchltectiire i$CAr
09130i
i
I
Frgfess*r F**dhisa K*rnod,a,
fra
ilnivg,lsrtrli
i
lrn
uat* S,cf,*,tl ui {tt-{'g'r
[n$us,,tnm
aftu
,,1,sliu'*rs
Sc.n'nn'u,g
,srll Ts;.rlt
riiluti*
l:$dl;
y{,fi,ffin
|{Erp''rrs{
1'lA'in
YVIYV
-
1n,ln
Y'T9
i**.;';
i ll
l.(inf
'-r
i'1
" nn
-3cr-ir:.;es g-': l3'?l
;-i.e-
$, Se'fl.,i{{
\i.r,|ls Sl'q,S,Ll$,nl &
tl
'u$'A
'l
(
\
F
I
?l
i**"r:.- :fis;4'::",';
i:hi 'i ag;q-*I,il,r[|r iLr:u,Hr E,-rffr$:r*' E.]rr3[t'ul i"l
"': -'i ::
*-,dffi
'1
3:00
^^-'
'
Tp0?A
I
Wy**,
ItxSUsftH bl$e{fis
i
'.res;Hknagsr€nt.*
'ittti"q(i
,w
'T-rc4ff
Ssnrk*ftffid
$ffiffid.
Ar$*teufirsne
- 14;00
-
F
nffifi['e
I r nnh
L
.t
|-
hnmmwxw
l$*tssw'*ilsd
i
TFfiffi
14:00
-
16:00
l*ts{$iryffit furht'mmttm
Coffee Break
FA*"ffi
::
btil.#:
.lTirdess $fimffixr
nclryks mnr
Coffee Break
Lunch
Coffee Break
Conference Reqistration
Date
Time
2006 16:00 - 19 00
16 Aug 2006
00 - 15 00
17 - l8 Aug 2006 08 00 - 12 00
15 Aug
C7
ven ue
Fcyer o{ R verfront Ba
lrocm Grano r^nrtcr'rr0 V/aierf ront Hotel [evei
2
Hotel [evei
2
Fcyer ol R verfront Baliroom Grand Copthcrne V/arerf ront
Fcyer of R ver'f1ep1 Ba
roon Grand Ccp.rorne Waterfront lotel
Level
2
Welcome Reception
Venue
Time
Date
15 Aug 2006
1
8:30
-
21
00
Dress Code
The Prornenade Grand Copthorne Waterfront Hotel Levei
1
Smart casual
Gala Banquet Dinner
Date
2006
17 Auq
Time
19:00
-
22:00
Venue
Grand Ballroom l, Grand Copthorne Waterfront Hotel, Level
4
Dress Code
Smart casual
{rmwt
$Emimwnmlmriit