June 2016 © Siemens AG 2016. All rights reserved. Digitally-enabled Manufacturing Driving the Digital Enterprise Dr. Eddy Roelants Siemens AG ITRE Hearing - Brussels, 13-06-2016
June 2016© Siemens AG 2016. All rights reserved.
Digitally-enabled Manufacturing
Driving the Digital Enterprise
Dr. Eddy Roelants
Siemens AG
ITRE Hearing - Brussels, 13-06-2016
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Digitalization is changing our world –
Bringing about new companies with entirely new business models
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Integrated product
and automation
design
Analytics-based avail-
ability and perfor-
mance guarantees
Data-driven optimization,
moving to self-learning
Optimized grid auto-
mation integrating
renewables
Digital FactoryPower and Gas,
Power Generation ServicesWind PowerEnergy Management
Integrated process
and plant engineering
and operation
Process Industries and Drives
Guaranteed
availability
via predictive
maintenance
Mobility
Data-driven advice
for building efficiency
Building Technologies
Image-guided therapy
for innovative surgical
procedures
Healthcare
Digitalization has an impact on the entire value chain –
across all verticals
Design and engineering Operations Service
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The main challenges and drivers in the industrial environment –
Challenges are changing in the discrete and process industry
Increase competitiveness
– Shorter innovation
cycles
– More complex
products
– Greater data
volumes
Time to market
– Energy and
resource efficiency
are critical
competition factors
– Availability of
plants and
machines
Efficiency
– Closed loop quality
processes
– Traceability and
integrated
genealogy
Quality
– Individualized
mass production
– Volatile markets
– Higher productivity
Flexibility
– Shorter innovation
cycles
– More complex
products
– Greater data
volumes
Time to market
– Energy and
resource efficiency
as key competition
factors
– Availability of
plants and
machines
Efficiency
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Industrie 4.0 – A German future project for the
vision of industrial production beyond the year 2025
Industrie 4.0
‒ Represents a new level of organization and control of the entire
value chain, across the life cycle of products
‒ Is increasingly geared to individualized customer wishes
‒ Encompasses all phases from the idea and the order to
development and production, delivery of a product to the end
customer, even recycling and related services
Key research areas
‒ Horizontal integration via value-added networks
‒ End-to-end engineering across the entire value chain
‒ Vertical integration and networked production systems
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Digital Enterprise is our portfolio of solutions for the digital transformation –
in both discrete industry and process industry
Design and engineering Operation Service
Discrete industry Process industry
Product
design
Pro-
duction
planning
Pro-
duction
engi-
neering
Pro-
ductionService
Process
and
plant
design
Engineer-
ing and
commis-
sioning
Operation ServiceProduct
design
Digital Enterprise
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The Digital Enterprise is our portfolio for the implementation of Industrie 4.0 –
With solutions along the entire value chain
1
Industrial communication2
Industrial security3
Industrial services 4
Specifically for discreteor process industry
Jointplatforms for discrete and process industry
Industrial software andautomation portfolio
Virtual world
Real world
Product design
Production/
plant planning
Production
engineering
Production Services
Suppliers
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Digital Enterprise for companies of all sizes –
Example Automotive
‒ Italian passion – Virtually developed – Efficiently built
‒ Maserati increasing its competitiveness through
digitalization of production
Suppliers
Product
design
Production
planning
Production
engineering
Production
executionServices
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Tomorrow –
Autonomous systems handle variations without human intervention
Autonomous machines implement and execute
high-level task specifications without detailed
programming
‒ Autonomous systems will have an explicit
model/ understanding of what they are doing
‒ Can thus dynamically modify the course of
action
reflecting changing boundary conditions and
volume changes
‒ Will understand human activity and behaviors
‒ And will employ learning to optimize their own
operation
Humans and autonomous machines
will closely work together
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Customer benefit
Smart data to business principle –
Combination of domain, device & analytics know-how
Data analytics
Data from
installed basis
− Performance increase
− Energy saving
− Cost reduction
− Risk avoidance
− Quality improvement
= Smart Data
Installed products,
systems,
processes
and sensors
Domain
know-how
+ Context
know-how
+ Analytics
know-how
Data Options for actionInformation
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Smart Data – Big Data
Example: Health check for CERN’s Large Hadron Collider
Result
Early warnings
to increase
Operating Hours
Automation Infrastructure
– Market leader in industry
automation
– Strong presence in all
business areas
Autom. Components
– Complex: Hundreds of
SCADA systems and
SIMATIC control systems
Rule and Pattern Mining
– >1 terabyte of operational
data generated per day
– Detect fault patterns
Domain
know-how
Context
know-how
Smart
Data
Analytics
know-how
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Concept for the industrial application of the Internet of Things –
The Web of Systems provides security for critical infrastructure
Process
Industries
and Drives
Digital
Factory
Energy
Management
Healthcare
Manu-
facturing
Grid
infrastructure
Turbine
monitoring
Power and Gas,
Power Generation
Services
Wind Power and
Renewables
Mobility
Building
TechnologiesBuilding
infrastructure
Web of
Systems
‒ Siemens believes the Internet of
Things has tremendous potential
‒ In critical infrastructure, customers
have much higher requirements
regarding reliability, service life and
data protection
‒ For this reason, in a Web of Systems
the data process locally
‒ This ensures that the knowledge
and the intellectual property of our
customers remain protected
‒ Siemens is already using this
technology in many projects today
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Electrification, automation, digitalization –
Siemens offers solutions along the entire value chain
Digitalization
Automation
Electrification
Digital Factory
Energy Management
Wind Power Power Generation Services
Process Industries and Drives Healthcare
Building Technologies Mobility