A first time notion that due to data model changes - from relational, to object-oriented/document driven and now object-oriented data-driven everytime creates challenges for upgrades - impossible to foresee
4. cPDM – stage 1 – relational / Unix
PDM stage 1 implemented
by large enterprises:
• Unix terminal based
• Relational data model
• Expensive
• Related to files
• Mainly mechanical
5. PDM / PLM stage 2 – Graphical / Object Oriented
PLM stage 2 implemented
current by most companies:
• More Windows-like
• Object-oriented approach
• Highly customizable
• No data model standards
• Engineering solution
7. Could this beavoided ?
• Large change in IT: hardware & software
• New paradigm for software development
• Disruptive innovation
• Lower TCO
• More flexible
• Extended scope
8. Stage 2: Also introducing CAD updatechallenges
STRONG CONNECTION BETWEEN PLM AND CAD – ENGINEERING CENTRIC
10. PLM stage 3 characteristics
• Requires breaking down the silos
• The “bottom-up” dream
• It is a business transformation
• How to sell ?
• Must be management driven
11. PLM stage 3 characteristics
• The IT approach:
systems thinking
• The Business approach:
understanding change
• Why different ?
12. PLM stage 3 characteristics
• Enterprise PLM
Governance – data centric
• Local PDM(s)
Engineering centric - files
• Lack of standards
• Master Data Management?
CPO is a ProSTEP iViP initiative, for
establishing a common understanding
on openness of IT systems in the
context of PLM between IT customers,
IT vendors and IT service providers
14. Stage 2 to 3 issues: Could this beavoided ?
• If initial implementation was OOTB – laggards benefit
• If initial implementation stayed close to core
data model of the PLM vendor
17. PLM stage 4 upcoming – a radical change
Document-driven
Data driven
18. PLM stage 4 upcoming – from documents todata-centric
• Support for real concurrent work
• Single version of the truth – reference instead of copy
• Documents become reports
• No overhead having people processing documents
• Almost on-line visibility through dashboards /
semantic search
• Semantic analysis for audits / trends discovery
• Digital processes – standardization but flexible to change
20. PLM stage 4: A data-drivenapproach - platforms
Business Innovation Platform
Product Innovation Platform
Platform brings flexibility:
Streamlined apps and services
running on persistent, connected data
No longer system upgrades but
changing configurations
21. PLM stage 4: A data-drivenapproach – platformquestions
Business Innovation Platform
Product Innovation Platform
Who provides the platform(s) ?
Openness – when & how ?
Will we still talk about PLM and ERP ?
23. Conclusions – How toget into the future ?
Stop thinking about PLM upgrades, it is a business change
A platform approach is the major enabler for change
1945 1990 NOW20062000 2023
24. Conclusions – How toget into the future ?
Stop thinking about PLM upgrades, it is a business change
A data-driven approach requires a mental switch for the older
generations and learning for the new generations
25. Conclusions – How toget into the future ?
Stop thinking about PLM upgrades, it is a business change
Data-driven approach requires a mental switch for the older
generations and learning for the new generations
Small pilots show huge benefits
We do the same work now
with 50 % of the people
Medical company
Now we are able to serve our
customers – new business
Equipment manufacturer
26. Conclusions – How toget into the future ?
Stop thinking about PLM upgrades, it is a business change
Data-driven approach requires a mental switch for the older
generations and learning for the new generations
Small pilots show huge benefits
Risk is NOT MAKING THE CHANGE