What is it, and what does it mean for us? Leif Hinrichsen Regional Sales Manager WA SA

Industry 4.0 What is it, and what does it mean for us? Leif Hinrichsen – Regional Sales Manager WA SA Page 1 November 2014 Agenda Industry 4.0 •...
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Industry 4.0

What is it, and what does it mean for us? Leif Hinrichsen – Regional Sales Manager WA SA

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November 2014

Agenda

Industry 4.0 • What is it? • Why should Australian industry care? • What do we need to do to get there?

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Industry 4.0

What is it?

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Industry 4.0 – Released!

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Industry 4.0 – the Fourth Industrial Revolution

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The Future of Industry: What does personalised mass production look like?

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The Future of Industry: What does personalised mass production look like?

Flare Wheel Arch +15%

Design your own model with unlimited customisable options Page 7

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Fusion of the real and virtual worlds Siemens PLM examples

From design to showroom floor 36 months down to 24 months Rapid Prototyping Digital SLR 100% designed & tested in virtual world Page 8

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Internet of Things 2012 – IPv6 gets things started

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The Future of Industry: Industry 4.0 – three key elements Production network 1

Flexible value chains with information available in realtime across company boundaries Fusion of virtual and real world

2

Integration of product design and production engineering based on a common Digital Enterprise Platform Cyber-physical systems

3

Modular production units with complete and consistent virtual image

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Industry 4.0 Production based on cyber-physical systems “Smart” products • The product to be manufactured has all the necessary information for every step of its production Autonomous production facilities • Self-organization of networked production facilities taking into account the entire value chain • Production steps are configured flexibly in response to changing situations

Reduction of complexity due to “smarter” structures

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Cyber-physical systems have all the information as a digital model Cyber-physical system (CPS)

Contains all the information on …

+ Physical production facility

Digital model

• Software / Informatics • Location, identity… • Mechanics, • Electrics, Electronics • Status • SW version • Automation, HMI • Interfaces • Safety, security • … • Maintenance

The digital model is always up-to-date and is extended over the entire lifecycle

Product design

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Production planning

Production engineering

Production execution

Services

Industry 4.0

Why should Australian industry care? Page 13

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Australia, a place to do business

Industry GDP Mining 13.5% Manuf. 11% Construct. 9.5% Agriculture 2%

*source www.tradingeconomics.com

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Global Challenges: Industry is changing faster than ever before

Increasing competitiveness

1

Increase efficiency

• Energy and resource efficiency are decisive competitive factors

2

Shorten time-to-market

3

Enhance flexibility

• More complex products

• Individualized mass production

• Larger data volumes

• Volatile markets

• Shorter innovation cycles

• High productivity

COMPETITION Page 15

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Renewed Focus on Industry National Manufacturing Policy: • National Investment all over India with modern infrastructure and less red tape • Automation to increase productivity and improve quality • Manufacturing GDP increase 16% to 25% by 2025. • Real Value: manufacturing generates $1.48 support compared with $0.54 for retailing. • Obama proposal: National Network for Manufacturing Innovation - 15 research institutions • Mars Rover: virtual development using PLM – will become the baseline for Industry 4.0

• Berlin has a master-plan to double the number of industrial jobs • Germany has highest exports per capita from 2003 to 2012 - 70% of these come from mid-sized companies • ‘Industrie 4.0’ – national working group Page 16

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Finding our place

• Can Australia be the best at everything ? • Where do we fit in the global supply chain? • Who are our real competitors? • What enablers do we need? • Do we have particular strengths in: • food and beverage? • medical sciences? • oil and gas? • mining? and • advanced manufacturing? Page 17

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Role of Government ...to create a way forward for industry Articulate that they want to have a strong industrial & manufacturing sector in Australia.

Policy Certainty

Then policies to reflect this.

Enablers for manufacturing

Clear Vision

Incentivise Technology Investment

Incentives not hand outs: •Productivity increases •Energy efficiency Could we prequalify funding for certain technologies that are more efficient? Loans for technology upgrades? •Bridge ROI gaps

Simplify & remove red tape

Encourage educational collaboration Drive infrastructure development to enable Industry

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Industry 4.0

What do we need to do to get there?

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Much to be done! Future: Industry Future: Industrie 4.04.0 Dynamic network of local controls Extended complex communication

Today: Industry Today: Industrie 3.83.x Local controls Realtime communication Digital "copies" of products and production

• Rule framework and architecture for dynamic topologies • Massively extended semantics for M2M communication • Integrated process simulation

Manufacturing Execution Systems

• … Industrial security concepts Execution and decision making mainly by humans

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Digital models of the overall process and participants Process optimization in dynamic networks Self-configuring security concepts also for temporary requirements Humans to define rules and frameworks for decision making

The future of industry – covering the entire product development and production process

We need to integrate all the steps along the value chain based on excellence in industry software to improve productivity and efficiency

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Siemens is continually investing in R&D

Research & Development § Over A$6 billion § 160 R&D locations globally § 29,500 R&D employees § 57,300 patents granted § 8,900 inventions registered in fiscal 2012

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In the time it takes me to present today, Siemens will have registered at least one more new invention. In fact today, Siemens will have registered about another 40 inventions.

Real and virtual worlds are converging thanks to our Digital Enterprise Platform Design and virtual production

Production planning

Product design

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Real production

PLM

TIA

Product Lifecycle Management

Totally Integrated Automation

Production engineering

Production execution

Real and virtual worlds are converging thanks to our Digital Enterprise Platform Ethernet communication products and network solutions (2012)

Design and virtual Integrated plant production management (2008)

Real production

PLM software integration (2013)

Computer-aided motion software (2012)

Production planning (2007)

CAE software for simulating and testing of mechatronic systems (2012)

Product design

TIA

Product Lifecycle Management

Totally Integrated Automation

Software for production planning and scheduling (2013)

Production execution MES software Life science industries (2009)

CAD design software Production of composite materials (2011)

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PLM

Production engineering

Industrial quality and production management (2012)

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Software for production management (2001) Product cost management (2012)

MES software Pharmaceutical and biotech industries (2011)

Smart data for efficiency

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Big data to smart data – Snowtown II Snowtown II Wind farm •Australia’s newest wind farm •270 MW •90 turbines, 80metres high •53 metre long rotar blades Smart Data •800 sensors collecting data •continuously transmits to Brande in Denmark •Vibration sensors can detect even tiny deviations that indicate a potential defect. •Allows predictive maintenance Data from the Snowtown II site flows continually to the diagnostic centre of Siemens Wind Power Services in Brande, in western Denmark. The facility collects and evaluates all the operating data from more than 7,500 Siemens wind turbines all over the world. Page 26

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But in the future world, new skills are needed

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Productivity and competitiveness

Digital Enterprise Platform Basis for Industry 4.0

Product Production

Seamless integration With collectively used data models

Early adopters

PLM Best-of-breed products

cPDM PDM Product

2000

Production

2010

2020

Interconnected by means of data import and export

2030

Time

Change of paradigms for the next productivity stage: Integrating product and production lifecycles can reduce time-to-market by 50%

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Infiniti Red Bull Racing Accelerated design with Siemens PLM software

What we can learn from F1 • The competition is global (embrace globalisation) • It relies on continual investment in technology • We are in a race to Industry 4.0.

... On the journey to Industry 4.0 Page 29

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