© Siemens 2019

April 12, 2019Page 1 Jeff Connolly

Linkedin.com/in/jeffconnolly

© Siemens 2019

April 12, 2019Page 2 Jeff Connolly

What is Industry 4.0?

From the computer to the

production line, new

technologies are shrinking

the time between virtual

planning and

manufacturing.

Digital Twin: Manufacturing IndustryP

hase 1

Phase 2

Phase 3Product

Manufacturing

ProcessOperation

• Rapid prototyping +

testing

• Virtual world design

+ test – even

ergonomics

• Optimise

manufacturing

process before

you build it

• Remove waste,

minimize

footprint

• All before you

do the soil

turning event?

• Data + AI for

self learning

• Ongoing

optimisation

• Platforms such

as Mindsphere

© Siemens 2019

April 12, 2019Page 4 Jeff Connolly

Industry 4.0 - Digital Twin underpins the future of manufacturing…

Digital twin of a surfboard

• New Business Models stemming from local Australian SMEs (now global)

• Customized mass production

Firewire Surfboards

Batch of 1

Callaway Golf

Rapid Protyping

Digital Twin of a Golf Driver

• Rapid prototyping

• Golf clubs that are lighter, faster on arrival at the ball & easier to hit the sweet spot.

• Developed in months instead of years

Digital Twin of a Chemical Plant

• Batch size 1 (100 litres)

• 1/50th of the size & 1/8th of

the time

• Removed 75,000 manual steps

Dulux Australia

Hannover Messe

© Siemens 2019

April 12, 2019Page 5 Jeff Connolly

Industry 4.0 and why we care

Early adopters

2010 2020 2030 Time2000

Integrating product and production lifecycles can reduce time-to-market by 50%

Pro

du

ctivity a

nd

co

mp

etitive

ne

ss

Product Production

PDM

cPDM

PLM

Seamless integration

Product

Production

With collectively used data models

Best-of-breedproducts

Interconnected by means of data import and export

Manufacturing productivity is declining and Industry 4.0 delivers the next productivity

gains. From 1995-2008 manufacturing productivity was 2.4%. From 2008-2018 it was 0.6%.

Andrew Dettmer AMWU

Reference Architecture

Standards & Norms

Technology & Application Scenarios

Security of Networked Systems

Work, Education & Training & Test Labs

Executive Council

Executive Council

Industry 4.0 Forum

Reference Architecture

Standards & Norms

Technology & Application Scenarios

Security of Networked Systems

Work, Education & Training

Test Laboratories

Au

stra

liaG

erm

any

work streams

Note: Germany has additional work streams of ‘Legal Framework & ‘Digital Business Models in Industry 4.0’

Whole of society framework

© Siemens 2019

April 12, 2019Page 7 Jeff Connolly

Industry 4.0 and Cities 4.0 - Four stages of infrastructure development

Targeted investments drive increase in productivity,

efficiency, capacity, resilience and quality of life

Unrestricted © SiemensLtd 2018

Milan ICeWater Research Project

Water and Energy Optimisation

•Optimise performance of the

water network.

•While minimising energy

consumption.

© Siemens 2019

April 12, 2019Page 9 Jeff Connolly

The success of the manufacturing industry

is built on the digitalization process

© Siemens 2019

April 12, 2019Page 10 Jeff Connolly

The manufacturing industry faced

similar challenges – how did it improve?

Source: Statistische Bundesamt, Fachserie 18, Reihe 1.5, 2013; Volkswirtschaftliche Gesamtrechnungen

100

200

1991 2001 2011

Productivity

per employee

Manufacturing industry

(without construction industry)

Construction industry

Services

Overall

© Siemens Ltd. 2018

Page 11

Source: CMAA Owners Survey, CMAA Industry Report, Economist Magazine

of materials

used in construction

become waste

37%of planners confirm

that not all information

is available when

plans are made

92%30%of projects do not

meet original program

or budget

10%of the cost of a project

is typically due

to change orders

38%of carbon emissions

are from buildings,

not cars

Construction sector realities

driving the adoption of BIM

© Siemens Ltd. 2018

Page 12

Phases of the building life cycle

Power Management

Fire Safety

HVACMechanical

Video Management

Intrusion Detection

Access Management

Lighting Management

BAS (Comfort)

Data

Analytics

Dismantling

© Siemens Ltd. 2018

Page 13

Who is considering or building

smart infrastructure and why?

© Siemens 2019

April 12, 2019Page 14 Jeff Connolly

Quality of life

Cities 4.0 generates value

EfficiencyMinimize waste

of time, efforts, etc.

Eco friendlinessSustainable consumption

of natural resources

ensuring a healthy

environment

ProductivitySecure growth and drive

economic activity

Utilization Optimized usage

of resources

ResiliencePrepare, endure

and recover from

extreme events

Safety & securityfor people, physical

and digital assets

Competitiveness

© Siemens 2019

April 12, 2019Page 15 Jeff Connolly

Transportation: digital infrastructure opportunities

Traffic Management Rolling Stock Infrastructure Services

~20% increase in city

traffic speed

save up to 30%

life cycle cost

20-30% capacity

increase

with train automation

up to 99% availability

of fleet

© Siemens 2019

April 12, 2019Page 16 Jeff Connolly

Plan Melbourne 2017 – 2050

4.6 to 8.0mInhabitants

1.6 millionNew homes needed

over 35 years

0%Net CO2 emissions

by 2050

10 millionMore trips a day –

increase of over

80%

40%electricity from

renewables by

2025

20 minutesNeighbourhoods

with good transport

access

Victoria’s Digital Asset Strategy

(VDAS) focuses on the

importance of:

Digital Engineering (DE) +

Building Information Modelling

(BIM) +

Geographic Information Systems

(GIS)

© Siemens 2019

April 12, 2019Page 17 Jeff Connolly

Focus areas for China’s Smart Cities approach

Artificial Intelligence of Things (AIoT)

• “The IoT in its present shape is only

the start of a journey towards

something even bigger and more

impactful – the Artificial intelligence of

things”

• Smart technologies communicating to

systems where AI makes decisions

on our behalf. eg

• autonomous vehicles

• smart digital assistants.

Half of Asia’s smart cities will

be in China generating US$320

billion for the China economy

© Siemens 2019

April 12, 2019Page 18 Jeff Connolly

Helsinki 3D+ project

Helsinki is an early adopter of smart

city technology and modelling.

• 3D representation of city using digital twin

software by Bentley Systems

• The representation is used to:

• improve internal services/ processes,

• promote smart city development, and

• share city models as open data to citizens

and companies for research and

development.

• Drive their green agenda

Creating a digital twin of the city

Infrastructure Software: Bentley Systems and Mindsphere

© Siemens 2019

April 12, 2019Page 19 Jeff Connolly

Learning from Industry 4.0…

What does

digitalization mean

for jobs of the future?

© Siemens 2019

April 12, 2019Page 20 Jeff Connolly

By 2022, artificial

intelligence & robots

could displace almost

75 million jobs.

© Siemens 2019

April 12, 2019Page 21 Jeff Connolly

From change comes opportunity

However, another

133 million new roles may

emerge by 2022.

Net gain of

58m new jobs!

The "Siemens Spider" 3D printing mobile robot

The Future of Jobs Report 2018

World Economic Forum

© Siemens 2019

April 12, 2019Page 22 Jeff Connolly

Rising Skill Shortages

We have an increase in employers

reporting skills shortages - soaring

from:

49% in 2016 to 75% in 2018

Yet universities are producing more

graduates than ever.

© Siemens 2019

April 12, 2019Page 23 Jeff Connolly