Develop new technologies to realise cognitive production plants, with improved efficiency and sustainability, by use of smart and networked sensor technologies, intelligent handling and online evaluation of various forms of data streams as well as new methods for self-organizing processes and process chains. In Short: Go from Smart to Smarter (Cognitive).

1. 1
Digital technologies for
improved performance in
cognitive production
plants – Innovation Action
DT-SPIRE-06-2019
Mário Gamas – Sustainable Innovation Centre @ ISQ

2. 2
Complexity
Era
Water, steam, and
conveyors; modern
materials handling
Assembly systems; Lighting,
electricity and assembly
lines
Embedded systems;
Semiconductors, computer,
information technologies
and increase in trade
Cyber-physical systems:
sensors, big data, predictive
analytics, cognitive
computing, cyber-physical
systems, robotics, advanced
analytics
We are entering the fourth revolution of industry and it is fully differentiated
from any that came before it.
1783
Line Production
1870
Electrification &
Automation
1960
Miniaturization
& Global Scale
2020
Cognitive
Production

3. 3
Objective
Develop new technologies to realise cognitive production plants, with improved
efficiency and sustainability, by use of smart and networked sensor technologies,
intelligent handling and online evaluation of various forms of data streams as well
as new methods for self-organizing processes and process chains.
In Short: Go from Smart to Smarter (Cognitive).

4. 4
Cognitive technology applies cognitive capabilities to digitize and optimize
previously inaccessible areas of production processes.
0100101
0010101
0100101
Collected production and
enterprise data
Made into a transparent comprehensive
interactive, minable corpus of information
That makes visible new
patterns in the data
To continuously monitor, respond and
interact with humans and machines
To Deliver
Smarter
Equipment
Maintenance
Smarter
Factory
Operations
Smarter
Product
Quality
Smarter
Supply Chain
Management
Smarter
Process
Performance
Smarter
Employee
Safety
Smarter
Resources
Usage
Smarter
Energy
Consumption

5. 5
To capture the potential of the cognitive production transformation, we focus on
three key pillars of production that drive
the highest improvement.
Intelligent
Asset and
Equipment
(IAE)
Cognitive
Process and
Operations
(CPO)
Smarter
Resource and
Optimization
(SRO)

6. 6
Single Asset
(IAE)
Production Line
(COP + SRO)
Factory
(COP +SRO)
Factory Network
(COP+SRO)
Applied at different scopes of increasing
complexity towards an holistic
optimization of efficiency.

7. 7
Furthermore, covering the full digital transformation of a complete plant or site(s)
including e.g. data acquisition, communication, automation, analytics, modelling,
prediction and standardization of relevant data interfaces.
PLATFORM
Data
Integration
S C AL AB L E
Cognitive
Technology
Advanced
Analytics

8. 8
Improved capabilities for valid, reliable and real-time control logics of the
properties, efficiency and quality of process streams and final products
for existing and for more flexible process operation concepts.
Expected Impact

9. 9
Intelligent Assets and Equipment
Intelligent assets and equipment utilize IoT and cognitive capabilities to
sense, communicate and self-diagnose issues so they can optimize their
performance and reduce unnecessary downtime.
 Prevent production delays and improve line
performance with better asset visibility
 Reduce equipment downtime and increase
process efficiency with industry models
 Expedite equipment repairs through
predictive and cognitive analytics
Decrease in equipment
downtime by
20%
GOAL

10. 10
Cognitive Process and Operations
Cognitive operations and processes bring more certainty to business by
analyzing a variety of information from workflows, context and environment to
drive quality, enhance operations and decision-making.
 Increase yield of production operations and
processes
 Improve productivity of production line
with early quality detection
 Expedite service calls and repairs and
reduce warranty costs
Increase in overall
productivity
20%
GOAL

11. 11
Smarter Resource and Optimization
Utilize IoT and cognitive insight to optimize the resources engaged around
production, whether that is lowering production environmental burdens, improving the
expertise of the entire workforce or optimizing energy and resource consumption.
 Reduce CO2 emissions
 Increase worker productivity and expertise
 Reduce energy and resource consumption
of facilities and processes
 Improve waste or by-products production Reduce CO2 emissions
by
20%
GOAL

12. 12
Embracing Cognitive Production.
Collect the
Data
Visualize the
Patterns
Analyze with
Purpose
Deliver with
Cognitive
Collect and curate the
right data – data on
processes and
operations one wants
to improve, data across
all systems, both
structured and
unstructured. Connect
systems and sensors
to bring in real-time
data for more accurate
insights.
Visualize data on a
platform. Quickly build
up dashboards and
use simple analytics to
determine patterns.
Supplement with
external sources of
data and analyze
variables that impact
the process and
operation one would
like to improve.
Apply purpose driven
analytics to gain new
insights from data.
Develop advanced
models, process a
combination of
variables and utilize
the best tools generate
the best solutions that
drive the most
business results.
Whether it is dealing
with vast amounts of
IoT data or dark and
unstructured data,
cognitive capabilities
brings light and clarity.
Take advantage of the
processing power of
cognitive to enable one
to act, resolver, and
deliver better.

13. 13
With great partners for a differentiating Proposal.
Pilot
Partners
High I4.0 Maturity
Process &
Manufacturing Industry
International
National
Data
Integration
One Platform
Many Modules
Integrate Devices
Integrate Platforms
Advanced
Analytics
Predictive Analytics
Real-time Analytics
Business Intelligence
Optimization
Cognitive
Technology
Natural Language
Processing
Machine Learning
Textual Analytics
Video/Image Analytics

14. 14
Disseminate
Grant an effective dissemination of major innovation outcomes to the current next
generation of employees of the SPIRE sectors, through the development, by
education/training experts, of learning resources with flexible usability.