Industry 4.0 promises great increase in productivity and profitability. This presentation covers the basics of this new manufacturing approach and it separates facts from fiction.

1. Simplifiez-vous
l’innovation
Industry 4.0 and its
technological needs

2. NovaSyst A market in
evolution
Industry 4.0 Beyond the
hype
Strategy and
Industry 4.0
Outline

3. 3
NovaSyst – Who we are

4. Technological solutions
developers
We simplify innovation
We provide efficient technological
solutions to complex challenges in the
industrial, defence and aerospace sectors.

5. Defence
Who we work for
Spatial
Industrial

6. 6
A market in evolution

7. Manufacturing and
distribution are now
commodities
Technology is easy to
copy
New entrants from
unforeseen markets
More choices than
ever
This is so one month
ago!

8. Tougher than ever to do business
It feels like we’re at a breaking
point…

9. How can my company build a lasting
competitive advantage?

10. Industry 4.0 just might have
the answer…

11. 11
Industry 4.0

12. Image extracted from www.accenture.com
The 4th industrial revolution

13. Connecting people,
businesses and things to
integrate the virtual and
physical worlds

14. Asset optimization
Facility optimization
Fleet optimization
Network optimization

15. The capabilities of machines are not being
fully realized. The inefficiencies that persist
are now much greater at the system level,
rather than at the individual machine level.
Complexity has outstripped the ability of
human operators to identify and reduce these
inefficiencies.
- GE

16. PwC, Industry 4.0 -
Opportunities and Challenges of
the Industrial Internet
The industrial internet creates better
productivity and resource efficiency - an
18% increase in efficiency within 5 years.

17. Source: McKinsey&Company, The Internet of Things: Mapping
the value beyond the hype, June 2015

18. Operations
optimization
Predictive
maintenance
Inventory
optimization
Health and safety
Human productivity
(augmented reality)
Human productivity
(monitoring)
Human productivity
(organization redesign)
633-
1,766G$
240-
627G$
98-
342G$
65-
226G$
30-
60G$
22-
50G$
17-
50G$
5-12.5% cost
reduction
10-40% cost
savings
Source: McKinsey Global Institute analysis
10-25% savings
10% productivity
improvement
5% productivity
gain
3-4% productivity
gain
Potential
value gain
Potential economic impact
(annually)
Application
20-50% cost
reduction

19. 125 employees
High-precision machine shop
Developed their own advanced
decision automation system
Quebec City

20. 2-3X
Increase in
machine
efficiency
Smart,
connected
machines
Analytics
 New markets
 Differentiation factor
Information
distribution

21. Employees
35M$
375
Investment in factory
modernization
New Brunswick

22. 50%
Reduction in the
brewery’s labor
expenditures
Smart
machines Big Data
 Improved quality
 Increased throughput
 Process optimization
 Reduced costs

23. 23
Industry 4.0 – Beyond the hype

24. April 2015

25. Smart, connected
machines
Industrial data
systems
Extraction and storage of
proprietary machine data
stream
Intelligence flows back
into machines
Physical and
human networks
Data sharing with the right
people and machines
Big Data
analytics
Machine-based
algorithms and data
analysis
Remote and centralized
data visualization Image adapted from GE
Secure, cloud-based
network

26. What are smart, connected machines?
Mechanical and
electrical parts
 Sensors
 Microprocessors
 Data storage
 Controls
 Software
 Embedded OS
Wired or wireless
connection
Physical
components
Smart
components
Connectivity
components

27. 04
Autonomy
(advanced automation)
 Monitor fleet instead of individual units
 Autonomous adaptation to situations and users’ preferences
 Reduce the need for operators
 Improve safety in dangerous environments
03 Optimization
 Dramatically improve output, utilization, and efficiency
 Minimize unplanned downtime (condition-based monitoring)
 Simplify maintenance and minimize maintenance costs (predictive
diagnostics, service, and repair)
 Longer-lived physical assets
01
Capabilities of smart, connected systems
 Obtain information on the system and its usage
 Shorten reaction time
 Lower reject rate
02 Control
 Real-time adaptation to changing conditions
 Customization of machine performance
 Remote control
Monitoring

28. Smart robots
Why you
should care
Maturity level
 General purpose manipulators
 Sensors
 Embedded industrial computers
 Reduce reconfiguration time and cost
 Task adaptability (hardware standardization through
software-based customization)
 Safe interaction with humans
Image curtesy of ABB

29. Smart robots
Maturity level
 General purpose manipulators
 Sensors
 Embedded industrial computers
Image curtesy of ABB
 Environmental perception
 New “smart” sensors and multi-sensors data fusion
 Closing the bridge with the ERP
 Integrated predictive maintenance
 Increased speed and weight capacity for collaborative
robots
 Automated decision making in collaboration with other
parts of the manufacturing chain
Technological
gap

30. Artificial intelligence
 Autonomous image and language recognition
 Machine learning
 Autonomous decision making
 Increase quality and production consistency
 Lower workforce cost
 A machine is never tired, never gets bored, never gets
sick
 If you taught it to one machine, you’ve taught it to all of
them
Why you
should care
Maturity level

31. Artificial intelligence
 Autonomous image and language recognition
 Machine learning
 Autonomous decision making
Maturity level
Technological
gap
 Interpretation of unstructured information
 Self optimization
 Task adaptability

32. Cloud computing
Delocalized data storage and processing
 You’re not a data center… let other people invest in this
rapidly changing technology
 Resource elasticity
 Data security
 Facilitates data access and sharing from everywhere
Why you
should care
Maturity level

33. Big Data analytics
 Data… a lot of it… from a lot of sources
 Advanced and predictive analytics
 Extracting information from a complexity that human
brains can’t deal with
 Take better decisions
 Learn more about your customers, your providers and
your business in general
Why you
should care
Maturity level

34. Big Data analytics
 Data… a lot of it… from a lot of sources
 Advanced and predictive analytics
Maturity level
 Standardization of inputs
 Database creation simplification and cost reduction
 Smart, simple and cheap data analysis capabilities
 Automated decision making
Technological
gap

35. Human-machine interface
 Human-machine collaboration interfaces
 Natural control
 Movement tracking
 Natural language control
 Industrial control system (ICS)
 Take faster and smarter decisions (supported by
advanced processing algorithms)
 The future of automation is in human-machine
collaboration: they’ll do the hard stuff… we’ll do the
complicated stuff
 Will make smart robots and AI usable by everybody
Why you
should care
Maturity level

36. Human-machine interface
 Human-machine collaboration interfaces
 Natural control
 Movement tracking
 Natural language control
 Industrial control system (ICS)
Maturity level
Technological
gap
 Brilliantly simplified and easily customizable reporting
tools
 Human-machine interface safety
 Natural and predictive collaboration
 Virtual and augmented reality
 Machines learning from humans and humans learning
from machines
 The extended human

37. 37
Strategy and Industry 4.0

38. We’ll do business differently

39.  Information database : a growing differentiation factor
 Get to know your customers personally and create value for
them
 Extend the value-capture opportunities
 Increases the exit cost for customers and partners
 Change fast… and with confidence
 Improve scalability of operations
A lasting competitive advantage

40. Go from manufacturing to
smart manufacturing
Alexandre Vallières
Vice-president
T: 418 653-8192
alexandre.vallieres@novasyst.com
 Start paying attention
 Awesome value creation opportunities
 Source of sustainable competitive advantage