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.

Pl mx 2018 hamburg plm transformation and digitization

361 views

Published on

Presentation given @ the PLMx 2018 Conference in Hamburg talking about conceptual and business impact of digitization related to PLM

  • Be the first to comment

Pl mx 2018 hamburg plm transformation and digitization

  1. 1. What are the mandatory steps and why ? PLMTRANSFORMATIONALONGSIDE DIGITIZATION Jos Voskuil www.virtualdutchman.com Join the discussion on: @PITVtweets #PIPLMx
  2. 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. 3. What is happening ? Global connected
  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 !  PLM !  PLM ?  PLM ?  PLM !
  6. 6. PLM – the forgottendomain ?  Document-driven approach  Products  Inside out: push to the market  Waterfall
  7. 7. PLMPulseresults – wearestill thinking in theold way
  8. 8. CONTINUOUS DELIVERY  Data-driven approach  Systems / model-based  Outside in: pull from market  Agile Modern PLM – a product innovation platform / digital PLM
  9. 9. The futureof PLM Consultancy VirtualDutchman.com
  10. 10. Becomeready forthe future
  11. 11. The futureof software: Digital Platformsworking together CIMdata Product Innovation Platform The future is “federated”
  12. 12. Old and New PLM are notcompatible  Incompatible  ECR/ECO/NCR/ …. Algorithms / blockchain based authorizations / AI THEY WILL BOTH EXIST !
  13. 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. 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. 15. Moving toa Model-Based Enterprise isa journey Image: J.B. Herron – Action Engineering – Re-use your CAD Most companies are here !
  16. 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. 17. Digital Transformation iscoming ourway strategies ? ??
  18. 18. Ostrichapproach is notastrategy ! Darwin 21st Century
  19. 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. 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. 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. 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. 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. 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. 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. 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. 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 !
  28. 28. Jos Voskuil tacit@planet.nl @josvoskuil virtualdutchman.com

×