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PLM something-has-to-change
The document discusses the challenges and opportunities of digital transformation, particularly in relation to Product Lifecycle Management (PLM) and the need for embracing model-based enterprises. It emphasizes the importance of data quality, integration of digital platforms, and a long-term vision to adapt to changing market dynamics. Overall, it highlights the necessity for organizations to evolve their strategies and infrastructures to thrive in an increasingly digitized environment.
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PLM something-has-to-change
- 1. Do we understandwhat is coming towards us ? PLM – SOMETHING HAS TO CHANGE Jos Voskuil www.virtualdutchman.com
- 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. Looking back –The Perfect Storm - 2015 ? ?
- 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 !
- 6. Platformization: Digital Platformsworkingtogether #1 ERP
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- 9. Digital Platformsworking together#4 Operations/Services
- 10. Digital Platformsworking together#5 PLM ? CIMdata Product Innovation Platform
- 11. Digital Enterpriseassumptions Apps /APIs / micro services ? ? ? ? ? ? ? Here is where the money is made ! Reduced amount of resources/ Quality / Intelligence / Selling Insights
- 12. The Product InnovationPlatform 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 ?
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- 14. Major inhibitorfordataquality Incompatible ECR/ECO/NCR/ …. AI /Algorithms / blockchain based authorizations
- 15. The Model BasedEnterprisealong 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. Moving toa Model-BasedEnterprise isa journey Image: J.B. Herron – Action Engineering – Re-use your CAD
- 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. 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. Experienceswith somesmall andmedium 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. What’s next forSmalland Medium Enterprises ? Awareness beyond marketing Management needs to own the vision Education Universities / Government initiatives Task forces / Conferences Coaching best practices / business change
- 21. Conclusions We makeprogress 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)
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