I4MS 2015: Enhancing digital transformation in manufacturing SMEs I4MS 2015 will explore the progress achieved by the I4MS initiative and the impact participation has had on SMEs. To date I4MS has achieved over 80% industrial participation. An initial participation of 80 SMEs has now grown to 150 as momentum continues to build. Success is also evident with SME participation in projects leading to the adaption of new technologies and approaches. I4MS phase two will take this success further through additional projects supported by a budget of approximately EUR 35 Mn. At I4MS 2015 participating SMEs will present their experiences, results achieved and impact made. They will explain how they have benefited and what the adaption of innovative ICT has meant for their business. European support does not just exist at EU level. Action at regional level supported through programmes such as Smart Specialisation present the good opportunity to reach out to and involve the diverse landscape of European SMEs. At I4MS 2015 participants will be introduced to a new activity designed for such outreach – digital innovation competence centres – and an outlook towards the next stage of I4MS. I4MS is a EUR 77 Mn initiative of the 'Factories of the Future' partnership designed to support the adaption of innovative ICT by SMEs. Through seven integrated projects in four key areas, I4MS brings manufacturing SMEs directly into research and innovation projects, introducing them to innovative technologies and supporting the adoption of such technologies.

1. A Roadmap for Future Architectures and
Services for Manufacturing
Silvia Castellvi
I4MS -EU- Enhancing Digital
Transformation in Manufacturing SMEs
Brussels, May, 22nd 2015

2. Road4FAME in a nutshell
 Road4FAME = Development of a Strategic
Research and Innovation Roadmap for Future
Architectures and Services for Manufacturing
in Europe
 Coordination Action, co-financed under the
Factories of the Future PPP, FP7-ICT:
ICT for the Enterprise and Manufacturing
 Project duration:
June 2013 - Oct 2015, 29 months
 Total budget: EUR 1.216.272
 Total EC contribution: EUR 859.968
 GA No. 609167
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More information www.road4fame.eu silvia.castellvi@atos.net

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Road4FAME in a nutshell
Principal players in manufacturing IT,
leading manufacturing research centers,
and strategy and roadmap developers

4. 44
Selected representatives from industry, associations
and the FoF roadmapping ecosystem for:
 Strategic advice
 Link to expertise
 Validation of project results
 Act as multiplicators
Road4FAME in a nutshell

5. 5
Road4FAME in a nutshell
Around 100 selected representatives from
industry and academia for:
 participation in expert consultations /
interviews
 participation in workshops
 involvement in deliverables
 involvement in orientation paper
 development and review process

6. 6
Road4FAME in a nutshell

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Main products:
 Roadmap in manufacturing IT, focusing on future Architectures and Services in
the Manufacturing Domain
 Catalogue of Business Services and Business Opportunities enabled by future
architectures and services, tailored to manufacturing businesses in industry and
service sector
 Recommendations for Future Research Priorities and Innovation Strategies
tailored to the EC, policy makers, academia and manufacturing businesses
Road4FAME in a nutshell

8. Approach of Road4FAME
Socio-
economic
Analysis
Push Perspective
Screening for
novel
concepts
Identification
of R&D
Challenges
Validation step
Identification
of Enablers
Pull Perspective
Identification
of Needs and
Requirements
Translation
into ICT /
architecture
requirements
Roadmapping
Workshops
Roadmap for IT
Architectures and
Services in
Manufacturing
R&I Strategy
Documents
Business Models
Roadmapping
Workshops
Roadmapping
Workshops
Roadmapping
Workshops
Validation step
Core Roadmapping Process
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9. 9
Roadmapping

10. Trends, drivers, needs
Megatrends
 Demographic change
 Climate change
 Urbanisation
 Globalisation…
(Mega) trends related to FoF, CPS & IoT
 Digitalisation of economy & connectivity
 Rise of the individual, personalisation
 Sustainability, green thinking (sharing global responsibility)
 Knowledge as a key enabler (global knowledge society)
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11. Trends, drivers, needs
Manufacturing-related trends
 Continuous drive for manufacturing efficiency and quality
(requiring optimisation tools and decision support)
 Rapidly evolving and pervasive ICT technologies
(digitisation, visualisation, virtualisation)
 Demand by customers for individualized / highly
configurable products
 Increasing hybrid cross-over products/embedded IT and
integrated services
 Increasing complexity of products, processes, and supply
networks
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12. Trends, drivers, needs
Manufacturing Business Needs
 Reduction of costs, start-up times, fast scale-up
 Increasing flexibility of production environments
 Identify/anticipate changes in demand
 Reduction of effort for integration of new
equipment & tools
 Traceability – cradle to grave
 Monitoring, optimisation and predictive maintenance
 More intuitive system interaction / mobile devices
BUT: Digitalisation (especially in SMEs) is mainly driven by IT solution providers and
less strongly demanded by manufacturing companies (potential underestimated)

13. Key Barriers and Showstoppers
 Manufacturing IT landscape is a ’wild garden’.
 History of point solutions creating a
heterogeneous manufacturing IT landscape
 Difficult to support and add capabilities
 Manufacturing IT technologies are out of reach
 Especially for SMEs, due to the very high implementation costs
 Here future architectures could contribute to alleviating such issues, making
manufacturing IT innovation more accessible
 Security and privacy
 Number one show stopper
The following ICT Solutions were identified to meet these trends
and needs…

14. Top ICT Solutions
 Real time data acquisition and analysis/
Big data analysis and use for quality control
 Flexible production equipment and interconnections
 Engineering Platform for design/operations continuum
 Joint Cognitive Systems for decision support
 Supply chain visibility and decision assistance/
ICT platform for advanced supply chain decision support
 Security solutions for collaborative networks
 Modelling of virtual enterprise
 Interoperability, standards, reference architectures and tools
 Open data and system integration platform for unstructured data environment
 IT-OT convergence: integrated architecture PLM-MES-ERP
 Problem and context-centric display of only crucial information to the users
 Customer and demand data gathering for analysis
 Product and service co-design with customer
ICT Solutions

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Recommendations

16. Orientation Paper
Early Research Recommendations:
 Scalable Cyber-Physical System architectures for adaptive and smart manufacturing
 Real-time data acquisition and analysis
 Network-centric communication and collaboration between players, humans and systems
across the entire value chain
 ICT platform for advanced supply chain decision support
 Modelling of virtual enterprises
 Cross-cutting challenges
 Interoperability / Standards
 Semantic mechanisms
 Socio-technical issues
 Training and education
 Cyber security

17. Recommendations
Integration
 Integration approaches for existing ICT systems and information (tackling the “wild garden”)
 Integration of new smart components (e.g. new improved low cost, miniaturised sensors) for data collection, analysis
and visualisation
 Development/promotion of interoperability and standards: note standards exist, e.g. IEC 61499, but industrial uptake is
very weak
Data and Information
 Unified engineering exchange of data considering provenance, accuracy, contextual awareness and semantic content of
unstructured data
 Big Data capture (live streaming for situational awareness), storage (event driven databases) and analysis (data mining –
ideally in real time)
 Distributed processing algorithms for data and systems in real time supported by resilient “industrial strength” cloud
computing for the plant floor
 Visualisation techniques and specifically context-aware responsive visualisation of data
 Decision support systems to reduce operator load
Machine Learning and Adaptive Systems to Enable Flexible and Adaptive Manufacturing
 Environments and infrastructures for machine learning, self-adapting and reconfigurable manufacturing
 Intra-and inter- machine communication standards
 Human-centric adaptive interfaces to enhance usability
Multidisciplinary Modelling
 Modelling of factories, information modelling and work domain modelling of socio-technological systems
Security and Privacy
 Robust Machine-to-Machine (M2M) security protocols that guarantee operational safety and reliability
 Affordable security for privacy, especially within manufacturing supply networks
Demonstrators & Education
 To convince the conservative manufacturing sector of the cost/benefits of new ICT architectures and services
 Education initiatives and training materials to increase awareness
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18. 18
Business Opportunities

19. Drivers
Economic
Green/Sustainable
Socially Aware
Customisation
Networking
Efficient Manufacturing
Technology Based
Knowledge
Aftermarket/Product Service
Conventional
Driven by Trend Business Models Driven by ICT Solution
Identification of
100 business
models clustered
in 10 categories

20. Business Opportunities
 The ability to associate information with products allows tracking from cradle to grave
to e.g. gather data on sustainability, provide personalised products.
 Market drivers towards customised products requires new levels of connection between
the customer and manufacturing and flexibility within the manufacturing supply chain.
 Green thinking (& regulation) drives circular economy which requires an ecosystem that
supports recycling and re-manufacture or products being used/shared instead of owned.
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 Ownership becomes decoupled from use of
products leading to new ways for sharing
products, providing value and generating
revenue. Here IT has an important role in
tracking, measuring/analysing and billing.

21.  Seamless integration of systems and components
 Acquisition and use of big data in real time & handling of complexity
 Visualisation, virtualisation, situational awareness, decision support
 Interoperability, standardisation, reference architectures and tools
 Platforms (organisational, technological, operational, customer,..)
 Security, privacy, trust
 Regulatory issues, IP
 Demonstrations, living labs
 Business models
 De-fragmentation, cross-fertilisation
 Raise awareness & education
 Commitment of large industries
 Stronger involvement of SMEs
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Conclusion for Converging Themes

22. For more information contact
the Road4FAME Consortium:
www.road4fame.eu
Silvia Castellvi - Atos
silvia.castellvi@atos.net

23. A Roadmap for Future Architectures and
Services for Manufacturing
Silvia Castellvi
I4MS -EU- Enhancing Digital
Transformation in Manufacturing SMEs
Brussels, May, 22nd 2015