Author: Dr. Abdelaziz Bouras | Qatar University Content: - Interoperability issues from the PLM experience - Understanding the limitation of open and hybrid interoperability standards - Discovering current data preservation solutions About the Qatar BIM User Day: Qatar University, HOCHTIEF ViCon and Teesside University proudly take the initiative to facilitate modern and innovative methods in the Gulf construction industry. The focus is Building Information Modeling (BIM), and our aim is to establish a knowledge platform with government, research and industry experts. The User Day aims to help people to share knowledge, discuss new technologies, and identify new potentials for BIM.

1. 1Abdelaziz Bouras
BIM
Interoperability
Issues:
Lessons
Learned
from
PLM
Dr.
Abdelaziz
Bouras
Qatar
University,
IctQATAR
Chair

2. 2Abdelaziz Bouras
Content
• PLM
point
of
view,
PLM
coverage
• Use
of
Data
Reference
Models
• SeparaEon
between
lifecycle
viewpoints
• HarmonizaEon
of
semanEc
levels
• Interoperability
• CollaboraEve
learning
• PreservaEon
• PLM
Standards

3. 3Abdelaziz Bouras
ORGANISATIONS
COMPETENCES
Commercial
Bureau d’Etudes
Projet
Qualité
Méthodes
Production
PROCESSES
PROJECTS
DOCUMENTS
Material
Reference
Designation
Color
Creation Date
Creator
DATA
© ASSETIUM 2007-2008 3
PRODUCTS
All
about
Product/Proces/OrganizaEon…

4. 4Abdelaziz Bouras4
Extended
Enterprise
of
OEM’s,
Customer,
Partners
and
Suppliers
Enterprise
Integra;on
through
dedicated
networks
Domain
specific
informa;on
systems
(CAD,
PDM,
ERP,
TMS,
WMS…)
Dept
Enterprise
Customers
Partners
Tier
1
Suppliers
Tier
2
Suppliers
Extended
Enterprise
Integra;on
BOL
Concept Design Manufacturing Use Disposal
In
Service
Support
Product
Lifecycle
Management
(PLM)
PLM
coverage
Distribution
Preservation
MOL
EOL
?

5. 5Abdelaziz Bouras
Interoperability
and
HarmonizaEon
(for
Big
Companies)

6. 6Abdelaziz Bouras

7. 7Abdelaziz Bouras
Example
of
external
object
Radar
for
locaEng
the
target
Menu
Window
for
communicaDon
(chat,
…)
Missions
,
objecDves
to
realize
InnovaEon
and
Change
Management
(for
SMEs)
Give
to
the
SME
a
new
approach
to
conduct
changes:
Simula9on
environment
to
make
training
a=rac9ve
and
adapt
it
to
the
business
context,
help
the
user
discovering
advanced
scenarios

8. 8Abdelaziz Bouras
Provide
indicators
to
the
project
team
in
order
to
Measure
and
evaluate
training,
detect
resistance
and
react
quickly

9. 9Abdelaziz Bouras9
Operating times, quality values,
planning parameters, storage
conditions, security storage
levels…Processes using
this data
Planning, manufacturing,
price calculation…
Owner of the data
Design, production…
Process evolution
for “best practices”
Evolution description,
responsibilities…
Storage/master
system
Design repository, PDM,
ERP,SCE…
Associated
documents
Specifications, plans,
instruction sheets…
Performance
Indicators
“Best practice” respect…
Product Data
Current
trends
1.
Use
of
Data
Reference
Models

10. 10Abdelaziz Bouras
2.
SeparaEon
between
lifecycle
viewpoints
ü Enterprise
viewpoint
– roles,
acEviEes,
policies
ü InformaEon
viewpoint
– semanEcs
of
informaEon
and
informaEon
processing
ü ComputaEonal
viewpoint
– interfaces
and
computaEonal
objects
ü Engineering
viewpoint
– distribuEon
infrastructure
(e.g.
web
services)
ü Technology
viewpoint
– choices
of
technology
(e.g.
app
servers,
DBMS)
Enterprise
viewpoint
RM-­‐ODP
InformaDon
viewpoint
ComputaDonal
viewpoint
Technology
viewpoint
Engineering
viewpoint
RM-­‐ODP
DISTRIBUTED
PROCESSING,
CLOUD

11. 11Abdelaziz Bouras
Terms Thesauri
Formal
Taxonomies
Frames
(OKBC)
Data Models
(UML, STEP)
Description
Logics
(DAML
+OIL)
Principled,
informal
hierarchies
Ad hoc
Hierarchies
(Yahoo!)
Structured
Glossaries
XML DTDs
Data
Dictionaries
(EDI)
‘Ordinary’
Glossaries
XML
Schema
DB
Schema
Glossaries
&
Data
Dic;onaries
Schemas,
&
Data
Models
MetaData
Formal
Ontologies
&
Inference
Thesauri,
Taxonomies
Ack: M. Grunninger
3.
HarmonizaEon
of
semanEc
levels

12. 12Abdelaziz Bouras
4.
interoperability

13. 13Abdelaziz Bouras
5.
CollaboraEve
learning

14. 14Abdelaziz Bouras

15. 15Abdelaziz Bouras
– Governments
are
imposing
very
strict
preserva9on
regula;ons
(80-­‐90
years
for
aerospace,
15-­‐20
years
for
automo9ve…)
– Lifecycles
of
the
products
can
be
much
longer
than
lifecycles
for
compu9ng
hardware,
applica9ons
soQware,
storage
media,
etc
– Products
are
becoming
more
complex
– Enterprise
domain-­‐applica9ons
are
becoming
massive
data
and
informa9on-­‐based
Why
worry
about
long
term?
PreservaDon
6.
PreservaEon

16. 16Abdelaziz Bouras
– Which
data/knowledge
to
be
preserved?
(Knowledge
lifecycle
assessment…)
– How
to
deal
with
Data/Knowledge
idenEficaEon
and
extracEon
from
huge
heterogeneous
warehouses
and
mulEmedia
databases?
– Think
about
the
future
extensibility
and
reusability
of
the
digital
preserved
models
– How
to
make
digital
preservaEon
pla^orms
Interoperable?
How
should
digital
data
and
mulDmedia
informaDon
be
represented
so
it
will
be
readable
X
years
from
now?

17. 17Abdelaziz Bouras
Airbus
A400M
(>0.5
million
parts)
Digital
Mockup
=
15
Tera-­‐bytes
Renault
Clio
2:
250
versions
Clio
3:
600
versions
(+
special
versions)

18. 18Abdelaziz Bouras
Long Term Knowledge Retention and Preservation (LTKR)
Washington
DC,
USA,
2006/2007
Participants: Boeing, Airbus, Ford, Thales, Nasa, Nara, NIST, NSF, ANR…
First
iniEaEves…

19. 19Abdelaziz Bouras
Requirements
for
long
term
preservaEon

20. 20Abdelaziz Bouras
Prominent
preservaEon
research
issues
Issue
Project
Scalability
Methods &
Models
Integrity
Complex
Objects
Context Automation
PROTAGE ü
SHAMAN ü
LiWA ü ü ü ü ü
PrestoPRIME ü ü
KEEP ü
SCAPE ü ü
ARCOMEM ü ü ü
TIMBUS ü ü
ENSURE ü ü
BlogForever ü ü
Wf4Ever ü ü
APARSEN ü ü
LOTAR ü ü ü

21. 21Abdelaziz Bouras21
Open Archival Information System” (OAIS) framework
SIP = Submission Information Package
SIP
DIP
Administration
P
R
O
D
U
C
E
R
C
O
N
S
U
M
E
R
queries
result sets
Ingest Access
Data
Management
Archival
Storage
Descriptive
Info.
Preservation Planning
orders
AIP
AIP = Archival Information Package
DIP = Dissemination Information Package
ConsultaEve
Commicee
for
Space
Data
Systems
(CCSDS)
MANAGEMENT
Use
standardised
preservaEon
approaches

22. 22Abdelaziz Bouras
22
Ex.
LOTAR
IniDaDve
(LOng
Term
Archiving
and
Retrieval
of
digital
technical
product
documentaDon)
• Project
driven
by
Airbus,
EADS-­‐Military
Aircrad,
MTU
Aeroengines,
Alenia
AeronauEcs
and
BAE
Systems
• Goal:
The
goal
of
LOTAR
is
to
specify
auditable
processes
for
long-­‐term
archiving
of
3D-­‐CAD
and
PDM
data
• SpecificaDons:
– Requirements
for
archiving,
– Methods,
– Scenarios,
– Detailed
process
descripEons
and
process
modules,
– Suitable
data
schematas,
– System
architecture
frame
work,
– Recommended
pracEces.
hcp://www.lotar-­‐internaEonal.org/
naEve
DB CAD/PDM
CAD/PDM data storage

23. 23Abdelaziz Bouras

24. 24Abdelaziz Bouras

25. 25Abdelaziz Bouras
MigraEon
VS
EmulaEon?
Dynamic
PreservaEon
AcEve
Repository…
Technical
Registry
(ie.
naEonalarchives.gov.uk)
Current
limitaEons…

26. 26Abdelaziz Bouras
ProductProcessEnterprise
services
IdeationDesign
organization
Conceptualdesign
Detaileddesign
Design
evaluation
Manufacturing
Supplychain
Productuse
Disposal
SCOR
SysML
PSL
EDI ebXML
PLCS
STEP
SysML
PSL
PLM
ProductProcessEnterprise
services
IdeationDesign
organization
Conceptualdesign
Detaileddesign
Design
evaluation
Manufacturing
Supplychain
Productuse
Disposal
SCOR
SysML
PSL
EDI ebXML
PLCS
STEPSTEP
SysML
PSL
PLM
7.
PLM
Standards

27. 27Abdelaziz Bouras
The
10
desirs
around
Open
Standards*
1.
Open
meeEng
2.
Consensus
Creator
3.
Due
Process
4.
Open
IPR
5.
Open
World
6.
Open
Change
Implementor
7.
Open
Documents
8.
Open
Interface
9.
Open
Access
User
10.
On-­‐going
Support
*Ken
Krechmer
(University
of
Colorado)
Open Vs. Hybrid Standards

28. 28Abdelaziz Bouras
The
12th
IFIP
Interna9onal
Conference
on
PLM…
was
held
in
Qatar
(plm-­‐conference.org)
Thank you!
abdelaziz.bouras@qu.edu.qa
For
more
informaEon
on
PLM,
please
visit….
www.ifip-­‐wg51.org