Transcript Slide 1

LEIT – Factories of the Future
Opportunities under Horizon 2020
Work Programme 2014/15
ICT for Factories of the Future
Francesca Flamigni
DG CONNECT, European Commission
Complex Systems & Advanced Computing (A3)
Horizon 2020
Support to FoF cPPP under WP
2014/2015
In the LEIT pillar:
• Specific topics: FoF 1, FoF 8 and
FoF 9
• Other specific topics
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ICT
NMK
Horizon 2020
Support to FoF cPPP under WP
2014/2015
In the
LEIT pillar:
Main
characteristics:
• Implementation of the EFFRA SRA
• Specific objectives FoF 1, FoF 8
• Member
States
and FoF
9committees (LEIT-ICT and LEIT-NMK) are
ICT
responsible accordingly
• In the WP text, the FoF part can be found under LEIT –
Materials, Biotechnologies and
NMK
• Nanotechnologies,
Other specificAdvanced
objectives
Advanced Manufacturing and Processing – workprogramme
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Call Planning
2014
2015
EUR
million
Process optimisation of
manufacturing assets
ICT-enabled modelling,
simulation, analytics and
forecasting technologies
ICT Innovation for
Manufacturing SMEs (I4MS)
FoF1
32
2
31
FoF8
1
35
1
FoF9
34
Overall indicative budget:
Instruments:
68
EUR 102 million from the year 2014 and 2015 budget
Annual Calls --- all calls single stage evaluation
CP100: 100% of eligible costs
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CP70: 70% of eligible costs
CSAs
LEIT ICT
Supporting Europe's
Manufacturing industries
ECSEL Joint
Undertaking
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euRobotics
PPP
Indirect Contribution to SPIRE PPP
and their SRA
Photonics21
PPP
Direct Contribution to FoF PPP
driven by EFFRA Roadmap
WP 2014/15: 102M€
Total H2020: up to 450M€
...
Horizon 2020
Innovative ICT
makes the difference
EU Suppliers are
World Market Leaders
Cyber-physical systems for
process (chain) optimisation
Laser-based manufacturing
Robotics
Modelling, Simulation, Analytics
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ICT Research
in FP7
Factories
of the Future
Digital Factories: First time right – made in Europe
•
•
SW for innovative products through digital design & validation tools
Responding to higher variance and shorter innovation cycles
Smart Factories: Factories from Computers
•
•
Process optimization through embedded ICT and
real-time data processing
A quantum leap of interoperability and configurability
for customized production at any time and location
Virtual Factories: Managerial control through the Cloud
•
•
IoT for fully integrated production, supply chain, logistics and
customization needs in real time
From supply chains to business ecosystems
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3 challenges
in ICT WP2014/5
WP2014
Process Chain Optimization
Cyber Physical Systems – CPS, lasers
Big Data, Simulation and Tools
Advanced Computing
Innovation Pilots & SMEs
Innovation
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WP2015
Obj.FoF-1:
WP2014
Process optimisation of manufacturing assets
Collaborative projects in 3 areas + 1 CSA:
i.
CPS-based process optimisation for adaptive and smart
manufacturing
•
Scalable CPS architectures for adaptive and smart manufacturing systems,
scalable models and simulation at machine and/or processes level with multi-level
semantic access to functional features and data
ii.
Collaborative and mobile manufacturing
iii.
Towards zero-failure laser-based manufacturing:
b.
Support Action (CSA)
•
•
tools for process optimisation of manufacturing assets across the supply
chain towards the Cloud-enabled Manufacturing Business Web.
Fast and accurate process monitoring systems allowing in-situ feedback
control of laser and machining parameters
Build R&D constituencies & develop research and innovation agendas
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Obj.FoF-1:
WP2014
Process optimisation of manufacturing assets
Collaborative projects in 3 areas + 1 CSA:
i.
CPS-based process optimisation for adaptive and smart
manufacturing
•
ii.
Scalable CPS architectures for adaptive and smart manufacturing systems,
scalable models and simulation at machine and/or processes level with multi-level
semantic access to functional features and data
Collaborative and mobile manufacturing
•
tools for process optimisation of manufacturing assets across the supply
chain towards the Cloud-enabled Manufacturing Business Web.
iii. Towards
zero-failure
laser-based manufacturing:
What
do
we
want?
• Fast and accurate process monitoring systems allowing in-situ feedback
control of laser and machining parameters
• Industry-driven
Support
Actionchain
(CSA)
• b.Whole
value
Build R&D constituencies & develop research and innovation agendas
• R&D including
validation/demonstration
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Intra-plant manufacturing)
Scope
a) R&I Actions: Small projects, 100% EU funding
CPS-based process optimisation for adaptive and smart
manufacturing
• Need: Scalable CPS architectures that exploit backend simulation
and predictive modelling as well as advanced local control
algorithms, distributed control up to the enterprise level to optimise
local decision making and optimization
• Actions: development of methods for real time analysis, modelling
and control to mimic and optimize manufacturing processes at local
and backend level
b) Coordination and Support Actions
• Consensus building for a factory-wide interoperability framework for
CPS engineering and manufacturing environments
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Intra-plant manufacturing)
Scope
a) R&I Actions: Small projects, 100% EU funding
CPS-based process optimisation for adaptive and smart
Targets:
manufacturing
• Machine
and
process
level
• Need: Scalable CPS architectures
that exploit
backend
simulation
and predictive modelling as •well Sensor
as advanced
datalocal control
algorithms, distributed control
to the enterprise
level to optimise
• upAdvanced
control
local decision making and optimization
• Actions:
development
Expected
Impact: of methods for real time analysis, modelling
and control to mimic and optimize manufacturing processes at local
Increased capability for better and faster reaction to market
and backend level
changes by being able to use holistic global and local
b) Coordination
and Support
optimization algorithms
in aActions
collaborative value chain.
• Consensus building for a factory-wide interoperability framework for
CPS engineering and manufacturing environments
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Extra-plant manufacturing)
Scope
a) R&I Actions: Large projects, 100% EU funding
Collaborative and agile manufacturing
• Need: CPS/Cloud to master supply network complexity
• Actions: development of collaborative tools that allow data sharing
and synchronisation of business processes across the supply chain
– particular focus on cloud enabled service platforms that allow data
sharing without knowledge sharing / covering end-to-end integration
of entire manufacturing processes and supply networks.
b) Coordination and Support Actions
• Concepts for a European smart specialisation strategy in
manufacturing building on the model of virtual value chain
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Extra-plant manufacturing)
Scope
Targets:
a) R&I Actions: Large projects,
funding
• 100%
Data EU
sharing
Collaborative and agile manufacturing
• Integration across the value
• Need: CPS/Cloud to master supply
network complexity
chain
• Actions: development of collaborative tools that allow data sharing
and
synchronisation
Expected
Impact: of business processes across the supply chain
– particular focus on cloud enabled service platforms that allow data
Reduced
complexity
of production
systems
by at least
an
sharing
without
knowledge
sharing / covering
end-to-end
integration
magnitude through
an interoperable
oforder
entireofmanufacturing
processes
and supply de-centralised
networks.
architecture approach and interoperability frameworks.
Productivity increase of about 30% through the enhanced
b) Coordination
and Support
Actions taking a holistic view in a
utilisation of resources
and information
collaborative
chain.smart specialisation strategy in
• Concepts
for avalue
European
manufacturing building on the model of virtual value chain
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Laser-based manufacturing)
Scope
a) R&I Actions: Small projects, 100% EU funding
Towards zero-failure laser-based manufacturing (highly dynamic):
• Need: Fast & accurate process monitoring systems  feedback
control
• Actions: development of (in-line) process monitoring sensors,
measurement and non-destructive testing tools including the related
high speed data processing and reduction.
• include validation/demonstration elements
• involve stakeholders covering the whole value chain.
b) Coordination and Support Actions
• Concept and roadmap building in relation to smart and safe
workspaces for laser-based manufacturing.
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Obj.FoF-1 Process optimisations of Manufacturing
assets (Laser-based manufacturing)
Scope
Targets:
a) R&I Actions: Small projects,
funding
• 100%
LaserEU
equipment
and
Towards zero-failure laser-basedprocess
manufacturing
(highly dynamic):
at machine
level
• Need: Fast & accurate process
 feedback
• monitoring
Sensors systems
data, feedback
control
control
• Actions: development of (in-line) process monitoring sensors,
measurement and non-destructive testing tools including the related
Expected Impact:
high speed data processing and reduction.
Strengthened market position of European producers of
• include validation/demonstration elements
laser-based manufacturing equipment, their suppliers and of
•theinvolve
stakeholders
covering the whole value chain.
users of
the equipment.
b) Coordination
and Support
Actions
Reinforced capacity
to manufacture
high-quality and
innovative
products
and to in
penetrate
new
application
• Concept
and roadmap
building
relation to
smart
and safeareas
workspaces for laser-based manufacturing.
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Obj.FoF-8:
Simulation & Tools
Modelling, simulation, analytics &
forecasting
CAx
Product
Planning
Product
Design
Production
Planning
Rampup
Production
Use of
Product
Service
Digital Factory
CAD
Virtual
Training
CAE
(CFD, FEA,
…)
DMU
CAPP
CAM
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©Courtesy DFKI 2013
Obj. FoF9
I4MS – Phase II
I4MS: ICT Innovation
for Manufacturing SMEs
• Key role of SMEs in value chains:
users and suppliers
• SME need more than €s
• 150 application experiments
along value chains clustered
• Clustered around networks
of competence centres
• Open Calls for experiments
during course of projects
www.i4ms.eu/
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Obj. FoF9
I4MS – Phase II
I4MS: ICT Innovation
for Manufacturing SMEs
• Key role of SMEs in value chains:
users and suppliers
New
areas
for
the€sInnovation actions:
• SME
need
more
than
• 150 application experiments
• Highly
flexible
and near-autonomous robotics
along
value chains
clustered
systems
• Clustered
around networks
of competence centres
• Open
Calls Cloud-based
for experiments modelling, simulation and
• HPC
during
course of projects
analytics
for multiple interconnected phenomena
•
Integration of CPS in manufacturing
processes for process surveillance andwww.i4ms.eu/
maintenance
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Events
6-8 Oct. :
Manufuture 2013,
Vilnius, Lithuania, Work Programme
29-30 Oct.:
Workshop Cyber Physical Systems
# CPS for Manufacturing (1 day session)
6-8 Nov.:
ICT in H2020 Launch Conference,
Vilnius, Lithuania, Work Programme publication
16-17 Dec. :
PPP FoF-SPIRE Info Days in Brussels
11 Dec 2013:
Horizon 2020 publication of first calls
11 March 2014
Possible Deadline of first FoF Call
14/16
ICT 2013 Conference
in Vilnius
5 reasons to join:
 Cont'd effort on clustering / Networking Sessions
 Focus on Horizon 2020 work programme
 ICT results exposed (Exhibition area)
 ~4000 researchers, innovators, entrepreneurs, industry
representatives, young people and politicians
 Conference, investment forum, networking sessions,
exhibition, young researchers
http://ec.europa.eu/digital
-agenda/en/ict-2013
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THANK YOU
[email protected]
DG CONNECT (FoF on DAE Web):
https://ec.europa.eu/digital-agenda/en/smart-manufacturing
Horizon 2020 on the web:
http://ec.europa.eu/research/horizon2020/index_en.cfm
Factories of the Future (FoF) on the web:
http://ec.europa.eu/research/industrial_technologies/lists/factories-of-thefuture_en.html
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