© 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)
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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