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Predictive Simulation Conference
2016
Industry 4.0
Richard Evans
AECOM
Richard Evans BEng (Hons) CEng
Electrical & Electronic Engineering
Electrical Steels Refinement
Automotive
Consultancy
Contents:
Trends & Funding
Industry 4.0
- Vision
- Cyber-Physical
- Embedded systems
Manufacturing
Trends
Net shift of mass
manufacturing to
low cost centres
High Value
Manufacturing focus
in Western Europe
ONS attributes the
sustained growth to:
Better quality, more
skilled workforce; a shift
in production from low to
high productivity goods;
improvements in
automation and ICT;
Industry 4.0
The 4th Industrial Revolution
“the increasing digital connectivity of customer, product,
process and factory through the use of emerging and
disruptive technologies”
It’s Opportunity, which can realise Value
Revolution!
Why invest time and
resources in Industry
4.0?
Stimulation of manufacturing sector
in Europe & deliver Value using
technology
Industry 4.0 Structure
Vision: an interconnected digital society
Cyber-Physical: bridge between data and
the realisation of a product / service
Embedded systems: a progressive
networking of intelligent components
Industry 4.0
Vision
Vision
Progression to an integrated society with
“where it’s sold” manufacturing
Step by Step…
Embracing technology in the right
way to respond quickly to
market demands
Industry 4.0
Vision
Industry 4.0
Value
drivers
Mass
customisation
Customer
focus
Greater
efficiencies
Cyber-PhysicalLayer
Mass customisation
Vision
The ability to manufacture what the customer wants
directly, with no loss of productivity.
It combines the process benefits (low cost / unit) with the
flexibility of individual choice (value creation)
Customer Focus
Vision
Efficiency
Vision
e.g. Automation of knowledge work
Customer
requirements
Designer /
specialist
Technician /
CAD
Checking &
approval
Finished
product and
release
Customer
requirements
AI Engine /
simulation /
designer
Finished
product and
release
Industry 4.0
Cyber - Physical
Vision
Industry 4.0
Value
drivers
Mass
customisation
Customer
focus
Greater
efficiencies
Cyber-PhysicalLayer
Cyber – e.g. Cloud
technology Use of
computer hardware
and software
resources delivered
over a network
Physical – e.g. the
industrialisation of a
product
Industry 4.0
Cyber
Fusing of Data and
Manufacturing
Large volumes of data need to be
transformed into knowledge in order for it
to be useful.
Internet Knowledge
Cyber-Physical
Cyber Level - Data
Cyber-Physical
Data
Analytics &
Simulation
Fusing of Data and
Manufacturing
Cyber-Physical
Customer
feedback
Performance
data
External
conditions
Policies
…
Simulation
&
Analytics
Business
Decisions
Where should my
products be
made?
Production
methodology?
Cloud Data Outputs / Vision
Fusing of Data and
Manufacturing
Cyber-Physical
Performance
data
Design
parameters
Business
objectives
Market demands
/ interest…
Market trends
tell me to
increase
production in X?
Supply chain
needs to support
me in Y…Factory
capabilities –
supply to
delivery
Cyber future
Cyber-Physical
Product
request or
Market trend
Selected through best
fit simulation
Sub-
assemblies
Industry 4.0
Physical
Today’s Technologies
Cyber-Physical
Linked supply chains – automation of PULL concepts
LEAN 4.0
In-process dynamic change – Quality / Efficiency
Disruptive
Technologies
Cyber-Physical
Technologies that are able to
shake the industry and
create new business
Advanced
Robotics
(Collaborative
robotics)
3D Printing
Additive
manufacturing
Factories
of the
Future
Machine to
Machine
?
Factories of the Future
Cyber-Physical
3D printing of new handling
jigs / tooling
Automatically transferred
into the production line
Industry 4.0
Embedded Systems
Data gathering
Embedded Systems
Autonomous
Vehicle
Driver
Override
Systems
Biometric
Vehicle
Access
Comprehensive
Vehicle Tracking
Active Window
Displays
Remote Vehicle
Shutdown
Smart/Personalised In-
Car Marketing
Image - johndaysutomotiveelectronics
Industry 4.0
Summary
Industry 4.0
Drivers: Why?
Vision: an interconnected digital society
Cyber-Physical: bridge between data and
the realisation of a product / service
Embedded systems: a progressive
networking of intelligent components
Thank You
richard.evans@aecom.com

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AECOM discuss Industry 4.0

Notas del editor

  1. Low cost centres – but for how long? High Value manufacturing – sectors that combine growth and significant R&D for example Phara & Aerospace
  2. Innovate UK spend profile
  3. 2nd revolution A transition from ‘batch’ production of parts and assembly, through to the more recognisable Henry Ford images
  4. Lots of data -> transform to knowledge -> manufacture
  5. Cyber-Physical is the realtime and reactive space Embedded systems – platform that provided the data
  6. Lots of data -> transform to knowledge -> manufacture
  7. Lots of data -> transform to knowledge -> manufacture
  8. Not just what we request, what we want
  9. Specialist operations will be automated Short term large scale “standard” activities are outsourced Long term, Automation of knowledge will bring skills back
  10. Lots of data -> transform to knowledge -> manufacture
  11. What do we do with our data today?
  12. Pick & Mix of information
  13. Example Real-time movements of cars can be used to assess road conditions, bottlenecks, inform infrastructure projects etc
  14. Dynamic and real time
  15. Buying experience
  16. How do factories work? Request inventories from established supply chain Assemble to add value Sell through a distribution network to realise value through profit margin
  17. Lots of data -> transform to knowledge -> manufacture
  18. Enabler for instructions to be given from a high tech levels down to production level equipment
  19. Interconnection of embedded systems