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What are the mandatory steps and why ?
PLMTRANSFORMATIONALONGSIDE DIGITIZATION
Jos Voskuil
www.virtualdutchman.com
Join the discussion on:
@PITVtweets #PIPLMx
1999 Artificial Intelligence ?
TacIT – JosVoskuil @josvoskuil
2008
PLM Coach, Consultant, Translator
Assisting companies, implementers and
vendors in all facets of the PLM lifecycle
with a current focus on digitization.
PLM ?
10 Years!!
What is happening ?
Global connected
Wherearewewith digital transformation ?
McKinsey: The case for digital reinvention
• Products and Services
• Marketing and Distribution channels
• Business Processes
• Supply Chains
• New Entrants acting in Ecosystems.
Where to make your
digital investments ?
Digitization is putting pressure on
revenue and profit growth
Uneven returns on investment
Wherearewith digital transformation ?
McKinsey: The case for digital reinvention
47 %
60 %
52 %
48 %
43 %
Average level of digitization
Bold strategies win !
 PLM !
 PLM ?
 PLM ?
 PLM !
PLM – the forgottendomain ?
 Document-driven approach
 Products
 Inside out: push to the market
 Waterfall
PLMPulseresults – wearestill thinking in theold way
CONTINUOUS
DELIVERY
 Data-driven approach
 Systems / model-based
 Outside in: pull from market
 Agile
Modern PLM – a product innovation platform / digital PLM
The futureof PLM Consultancy
VirtualDutchman.com
Becomeready forthe future
The futureof software: Digital Platformsworking together
CIMdata Product Innovation Platform
The future is “federated”
Old and New PLM are notcompatible
 Incompatible 
ECR/ECO/NCR/ …. Algorithms / blockchain based
authorizations / AI
THEY WILL BOTH EXIST !
The future is based on DATA - it needs to bereliable
 Data Quality and Master Data Management
 The role of the Product Innovation platform
How to identify the correct
Master Data subject areas
& tooling for your MDM
initiative.
Christopher Bradley
(SlideShare)
PLM
ISO 15926
PLCS
OSLC
Or ? ..
Where are the Data Quality initiatives ?
PLM Vendors do
not talk about
MDM (yet)
Product MDM
Customer MDM
From Drawings to Items to Models – the importanceof 3D
 A Model-Based Enterprise moves
the record of authority from
documents to digital models
including MCAD, E-CAD, SysML
and UML managed in a data rich
environment.
 Connected 3D models are needed if we want to
benefit from augmented reality, virtual twins
without spending too much work on converting
collecting data – we want a digital thread.
Moving toa Model-Based Enterprise isa journey
Image: J.B. Herron – Action Engineering – Re-use your CAD
Most
companies
are here !
Digital Twin – taking benefits from IoTwe need digital PLM
Modern, digital PLM plays a role in digital twin scenarios
• Use real-time data to optimize your simulation models
• Use virtual models, simulations to prepare for the
physical world – flexible manufacturing processes
Digital Transformation iscoming ourway strategies
?
??
Ostrichapproach is notastrategy !
Darwin 21st Century
Largeenterprises
www.inc.com/alex-moazed/why-ge-digital-didnt-make-it-big.html
• GE is not the only company with such an ambitious message to
their shareholders
True digital transformation will almost always fail if executed from within
the organization. Why? Because the change is so disruptive that the
existing organization chokes it off.
Experienceswith some largeenterprises
 Most choose for the evolutionary approach.
Big bang is too risky – not because of technology
 Evolution fails, due to several reasons:
 Top-down strategy becomes too often an IT-rationalization
 Time to understand – too many pilots – no commitments
Continuous excitement and vision needed
 Career politics – P&L vertical approach
 Short term strategy due to investors demands
Jan Bosch -The End of Innovation (as we know it)
What’s next ? Evolutionaryapproaches
KPMG: beyond the hype separating ambition from reality in i4.0
McKinsey – our insights/toward an integrated technology operating model
“Companies will need to adapt their
cultures in ways that will appeal to
both next-generation digital workers”
“The war for talent requires creativity
Experienceswith somesmall and medium enterprises
 Many of them have no time for strategy
Optimized for performing in current market
No evolutionary thinking
 Family-owned business can make a difference
Long-term strategy possible
 Survival through attracting the right inspirators
Unpredictable dynamics – Do or Die.
Conclusions
 We need to get PLM out of the engineering box by talking
about the Why and less on the What. Talk value not features
Conclusions
 We need to get PLM out of the engineering box by talking
about the Why and less on the What. Talk value not features
 Current and Future PLM are incompatible.
Adjust your strategy – think along bimodal
Avoid endless Proof of Concepts. Act !
Conclusions
 We need to get PLM out of the engineering box by talking
about the Why and less on the What. Talk value not features
 Current and Future PLM are incompatible.
Adjust your strategy – think along bimodal
Avoid endless Proof of Concepts. Act !
 Reduce the gap by investing in Data Quality (MDM),
Model-Based ways-of-working.
Conclusions
 We need to get PLM out of the engineering box by talking
about the Why and less on the What. Talk value not features
 Current and Future PLM are incompatible.
Adjust your strategy – think along bimodal
Avoid endless Proof of Concepts. Act !
 Reduce the gap by investing in Data Quality (MDM),
Model-Based ways-of-working.
 Focus on committed leadership in your company.
Change never happens bottom-up
Conclusions
 We need to get PLM out of the engineering box by talking
about the Why and less on the What. Talk value not features
 Current and Future PLM are incompatible.
Adjust your strategy – think along bimodal
Avoid endless Proof of Concepts. Act !
 Reduce the gap by investing in data quality (MDM),
Model-Based ways-of-working.
 Focus on committed leadership in your company.
Change never happens bottom-up
 There is a war for talent !
Jos Voskuil
tacit@planet.nl
@josvoskuil
virtualdutchman.com

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Pl mx 2018 hamburg plm transformation and digitization

  • 1. What are the mandatory steps and why ? PLMTRANSFORMATIONALONGSIDE DIGITIZATION Jos Voskuil www.virtualdutchman.com Join the discussion on: @PITVtweets #PIPLMx
  • 2. 1999 Artificial Intelligence ? TacIT – JosVoskuil @josvoskuil 2008 PLM Coach, Consultant, Translator Assisting companies, implementers and vendors in all facets of the PLM lifecycle with a current focus on digitization. PLM ? 10 Years!!
  • 3. What is happening ? Global connected
  • 4. Wherearewewith digital transformation ? McKinsey: The case for digital reinvention • Products and Services • Marketing and Distribution channels • Business Processes • Supply Chains • New Entrants acting in Ecosystems. Where to make your digital investments ? Digitization is putting pressure on revenue and profit growth Uneven returns on investment
  • 5. Wherearewith digital transformation ? McKinsey: The case for digital reinvention 47 % 60 % 52 % 48 % 43 % Average level of digitization Bold strategies win !  PLM !  PLM ?  PLM ?  PLM !
  • 6. PLM – the forgottendomain ?  Document-driven approach  Products  Inside out: push to the market  Waterfall
  • 7. PLMPulseresults – wearestill thinking in theold way
  • 8. CONTINUOUS DELIVERY  Data-driven approach  Systems / model-based  Outside in: pull from market  Agile Modern PLM – a product innovation platform / digital PLM
  • 9. The futureof PLM Consultancy VirtualDutchman.com
  • 11. The futureof software: Digital Platformsworking together CIMdata Product Innovation Platform The future is “federated”
  • 12. Old and New PLM are notcompatible  Incompatible  ECR/ECO/NCR/ …. Algorithms / blockchain based authorizations / AI THEY WILL BOTH EXIST !
  • 13. The future is based on DATA - it needs to bereliable  Data Quality and Master Data Management  The role of the Product Innovation platform How to identify the correct Master Data subject areas & tooling for your MDM initiative. Christopher Bradley (SlideShare) PLM ISO 15926 PLCS OSLC Or ? .. Where are the Data Quality initiatives ? PLM Vendors do not talk about MDM (yet) Product MDM Customer MDM
  • 14. From Drawings to Items to Models – the importanceof 3D  A Model-Based Enterprise moves the record of authority from documents to digital models including MCAD, E-CAD, SysML and UML managed in a data rich environment.  Connected 3D models are needed if we want to benefit from augmented reality, virtual twins without spending too much work on converting collecting data – we want a digital thread.
  • 15. Moving toa Model-Based Enterprise isa journey Image: J.B. Herron – Action Engineering – Re-use your CAD Most companies are here !
  • 16. Digital Twin – taking benefits from IoTwe need digital PLM Modern, digital PLM plays a role in digital twin scenarios • Use real-time data to optimize your simulation models • Use virtual models, simulations to prepare for the physical world – flexible manufacturing processes
  • 17. Digital Transformation iscoming ourway strategies ? ??
  • 18. Ostrichapproach is notastrategy ! Darwin 21st Century
  • 19. Largeenterprises www.inc.com/alex-moazed/why-ge-digital-didnt-make-it-big.html • GE is not the only company with such an ambitious message to their shareholders True digital transformation will almost always fail if executed from within the organization. Why? Because the change is so disruptive that the existing organization chokes it off.
  • 20. Experienceswith some largeenterprises  Most choose for the evolutionary approach. Big bang is too risky – not because of technology  Evolution fails, due to several reasons:  Top-down strategy becomes too often an IT-rationalization  Time to understand – too many pilots – no commitments Continuous excitement and vision needed  Career politics – P&L vertical approach  Short term strategy due to investors demands Jan Bosch -The End of Innovation (as we know it)
  • 21. What’s next ? Evolutionaryapproaches KPMG: beyond the hype separating ambition from reality in i4.0 McKinsey – our insights/toward an integrated technology operating model “Companies will need to adapt their cultures in ways that will appeal to both next-generation digital workers” “The war for talent requires creativity
  • 22. Experienceswith somesmall and medium enterprises  Many of them have no time for strategy Optimized for performing in current market No evolutionary thinking  Family-owned business can make a difference Long-term strategy possible  Survival through attracting the right inspirators Unpredictable dynamics – Do or Die.
  • 23. Conclusions  We need to get PLM out of the engineering box by talking about the Why and less on the What. Talk value not features
  • 24. Conclusions  We need to get PLM out of the engineering box by talking about the Why and less on the What. Talk value not features  Current and Future PLM are incompatible. Adjust your strategy – think along bimodal Avoid endless Proof of Concepts. Act !
  • 25. Conclusions  We need to get PLM out of the engineering box by talking about the Why and less on the What. Talk value not features  Current and Future PLM are incompatible. Adjust your strategy – think along bimodal Avoid endless Proof of Concepts. Act !  Reduce the gap by investing in Data Quality (MDM), Model-Based ways-of-working.
  • 26. Conclusions  We need to get PLM out of the engineering box by talking about the Why and less on the What. Talk value not features  Current and Future PLM are incompatible. Adjust your strategy – think along bimodal Avoid endless Proof of Concepts. Act !  Reduce the gap by investing in Data Quality (MDM), Model-Based ways-of-working.  Focus on committed leadership in your company. Change never happens bottom-up
  • 27. Conclusions  We need to get PLM out of the engineering box by talking about the Why and less on the What. Talk value not features  Current and Future PLM are incompatible. Adjust your strategy – think along bimodal Avoid endless Proof of Concepts. Act !  Reduce the gap by investing in data quality (MDM), Model-Based ways-of-working.  Focus on committed leadership in your company. Change never happens bottom-up  There is a war for talent !