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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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Digitally-enabled Manufacturing Driving the Digital Enterprise · The Digital Enterprise is our portfolio for the implementation of Industrie 4.0 – With solutions along the entire

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Page 1: Digitally-enabled Manufacturing Driving the Digital Enterprise · The Digital Enterprise is our portfolio for the implementation of Industrie 4.0 – With solutions along the entire

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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Questions & answers

siemens.com/innovationUnrestricted © Siemens AG 2016

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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