Post on 12-Jan-2017
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BIM Interoperability Issues: Lessons Learned from PLM Dr. Abdelaziz Bouras
Qatar University, IctQATAR Chair
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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
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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…
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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
Custom
ers
Partne
rs Tier 1
Supp
liers
Tier 2
Supp
liers
Extend
ed Enterprise Integra;
on
BOL
Concept Design Manufacturing Use Disposal
In Service Support
Product Lifecycle Management (PLM)
PLM coverage
Distribution Preservation
MOL EOL
?
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Interoperability and HarmonizaEon (for Big Companies)
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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
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Provide indicators to the project team in order to Measure and evaluate training, detect resistance and react quickly
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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
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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
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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
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4. interoperability
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5. CollaboraEve learning
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– 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
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– 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?
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Airbus A400M (>0.5 million parts) Digital Mockup = 15 Tera-‐bytes
Renault Clio 2: 250 versions Clio 3: 600 versions (+ special versions)
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Long Term Knowledge Retention and Preservation (LTKR)
Washington DC, USA, 2006/2007
Participants: Boeing, Airbus, Ford, Thales, Nasa, Nara, NIST, NSF, ANR…
First iniEaEves…
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Requirements for long term preservaEon
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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
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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
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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
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MigraEon VS EmulaEon? Dynamic PreservaEon AcEve Repository… Technical Registry (ie. naEonalarchives.gov.uk)
Current limitaEons…
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Product
Process
Enterprise
services
Ideati
onDes
ign or
ganiz
ation
Conce
ptua
l des
ign
Deta
iled
desi
gnDe
sign
evalu
atio
n
Manuf
actu
ring
Supp
ly c
hain
Prod
uct u
se
Disp
osal
SC
OR
Sys
ML
PS
L
EDI ebXML
PLCS
STEPSysML
PS
L PLM
Product
Process
Enterprise
services
Ideati
onDes
ign or
ganiz
ation
Conce
ptua
l des
ign
Deta
iled
desi
gnDe
sign
evalu
atio
n
Manuf
actu
ring
Supp
ly c
hain
Prod
uct u
se
Disp
osal
SC
OR
Sys
ML
PS
L
EDI ebXML
PLCS
STEPSTEPSysML
PS
L PLM
7. PLM Standards
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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
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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