Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

PLM something-has-to-change


Published on

Presentation given at PDT Europe 2017 focusing on experiences in the domain of digital transformation and PLM

  • Be the first to comment

PLM something-has-to-change

  1. 1. Do we understand what is coming towards us ? PLM – SOMETHING HAS TO CHANGE Jos Voskuil
  2. 2. Continuous transformation & learning 2013 - Integrating PLM, CM and SE for lean, innovative and agile operations 2014 - Shaping the PLM Platform of the Future 2015 - The Perfect Storm for PLM – The Product Innovation Platform 2016 - Investing for the future while managing product data legacy and obsolescence
  3. 3. Looking back – The Perfect Storm - 2015 ? ?
  4. 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. 5. Wherearewith digital transformation ? McKinsey: The case for digital reinvention 47 % 60 % 52 % 48 % 43 % Average level of digitization Bold strategies win !
  6. 6. Platformization: Digital Platformsworking together #1 ERP
  7. 7. Digital Platformsworking together #2 CRM
  8. 8. Digital Platformsworking together #3 MES
  9. 9. Digital Platformsworking together #4 Operations/Services
  10. 10. Digital Platformsworking together #5 PLM ? CIMdata Product Innovation Platform
  11. 11. Digital Enterpriseassumptions Apps / APIs / micro services ? ? ? ? ? ? ? Here is where the money is made ! Reduced amount of resources/ Quality / Intelligence / Selling Insights
  12. 12. The Product Innovation Platform needs to bedata-driven  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 Others .. Where are the Data Quality initiatives ?
  13. 13. Major inhibitorfordataquality  Incompatible 
  14. 14. Major inhibitorfordataquality  Incompatible  ECR/ECO/NCR/ …. AI /Algorithms / blockchain based authorizations
  15. 15. The Model Based Enterprisealong the lifecycle  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.  Model-Based is the foundation for automation (AI, Algorithms, Simulation)  Model-Based Systems Engineering ,Model Based Definition (PMI), Digital Twin are all related. FAKE NEWS
  16. 16. Moving toa Model-Based Enterprise isa journey Image: J.B. Herron – Action Engineering – Re-use your CAD
  17. 17. 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)
  18. 18. 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” “Take bold steps towards integration” “Be prepared to make big and bold decisions” “The war for talent requires creativity and not a risk-free pension strategy”
  19. 19. 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.
  20. 20. What’s next forSmall and Medium Enterprises ?  Awareness beyond marketing  Management needs to own the vision  Education  Universities / Government initiatives Task forces / Conferences  Coaching  best practices / business change
  21. 21. Conclusions  We make progress understanding the role of PLM in a lifecycle Model-Based enterprise – concepts are still in early phases.  The incompatibility of current PLM and digital PLM requires an accelerated evolution supported by MDM / Model-Based transitions  A bold vision and clear commitment from the top is needed. Create a horizontal path in the enterprise connecting the Why (business), How (change) and What (tools)
  22. 22. Jos Voskuil @josvoskuil