title-slidetata steel slide hisarna –process innovationa new process that allows the direct use of...
TRANSCRIPT
SlideTata Steel
Title-slide
Industry 4.0 - Prediction is Key
Creating value from digitalized manufacturing
SlideTata Steel
From Tata Group to Tata Steel in IJmuiden
3Intelligent Steel Manufacturing
Tata Group
Communications & IT
Engineering Services Materials Energy Consumer products
Chemicals
Tata Steel Group
Tata Steel
India
Tata Steel
ThailandNatSteel
Asia
Tata Steel
Europe
Strip Products UKStrip Products
Mainland Europe
Long Products
Europe
Tata Steel in IJmuiden
SlideTata Steel
Image of coated tinplate showing cross linking in polymer
within the coating layer
Keyence
SlideTata Steel
HISARNA – Process innovation
A new process that allows the direct use of powdered raw material. No more
coke oven or ore processing required
Iron ore is melted in the
cyclone reactor
Fine coal is injected directly
into the smelter
By using pure oxygen, we get
gases without nitrogen
This makes the combination
with CO2 recovery & storage
(CCS) easier to realise
HISARNA technology will produce 20% less CO2 emission in the future with CCS 80%
iron ore
kolen
coke
Sinter
Pellets
Liquid iron
blast
furnace
Direct use of coal and ore
No coke, sinter and pellet factory required
HISARNA
SlideTata Steel 18Intelligent Steel Manufacturing
Aangevoerde ruwe grondstoffen:
Met variërende kwaliteit
IJzererts
Kolen
Klanten vragen:
Gedifferentieerde producten
Gedifferentieerde service
Met de vereiste kwaliteit,
op tijd geleverd en
tegen een concurrende prijs
Smart manufacturing
SlideTata Steel
Welke uitdagingen willen we met digitalisering oplosssen?
19Intelligent Steel Manufacturing
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€
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SlideTata Steel 20Intelligent Steel Manufacturing
Sust
ain
abili
ty
Qu
alit
y
Lead
Tim
e
Pro
fita
bili
ty
He
alth
& S
afet
y
Customer orientation
Manufacturing Assets
Manufacturing Technology
Manufacturing supply chain
Areas and impact on Business Drivers
Workforce 4.0
Business Models
Through Process Models
& Integrated Logistics
Process & Control models
Machine Learning & Autonomy
Installation availability models
Predictive maintenance
Leadership profiles
Employee profiles
A lot of models !!!
THE REAL PLANT & THE VIRTUAL PLANT
‘twinning’
Do you
have a
good digital
fundament?
Tata Steel Slide
CURRENT STATE FUTURE STATE
SUPPLY of PRODUCTS
PRODUCTION SYSTEMS
process models
controls
electrical systems
mechanical systems
sensors & actuators
INTEGRATED SUPPLY of
PRODUCTS & SERVICES
PRODUCTION SYSTEMS
process models
controls
electrical systems
mechanical systems
sensors & actuators
Transition
of
Business
Models
Transition
Of
Technology
Stack
Transformation ?
Digitalisation
Connectivity
Data
Anywhere, Anytime
Tata Steel Slide
CURRENT STATE FUTURE STATE
SUPPLY of PRODUCTS
PRODUCTION SYSTEMS
process models
controls
electrical systems
mechanical systems
sensors & actuators
INTEGRATED SUPPLY of
PRODUCTS & SERVICES
Transition
of
Business
Models
Transition
Of
Technology
Stack
PRODUCTION SYSTEMS
Autonomy & Learning
Integrated
asset& process& quality
control
Collaborative Process
Route
Transformation
SlideTata Steel
Intelligent Steel Manufacturing
Rapid product & process
development by
virtual manufacturing
Connected Sensors
Digitalisation
to
create digital
fundament
Integrated
Process control
Monitoring
Diagnostics
Advanced &
predictive
Condition
monitoring
Robotics
&
Machine
Learning
High degree of autonomy by
automation & self-learning
Product
Inspection
Health
Safety
Environment
Supply Chain & Customer Interaction
A new hierarchy
23
Tata Steel Slide
CURRENT STATE FUTURE STATE
SUPPLY of PRODUCTS
PRODUCTION SYSTEMS
process models
controls
electrical systems
mechanical systems
sensors & actuators
INTEGRATED SUPPLY of
PRODUCTS & SERVICES
Transition
of
Business
Models
Transition
Of
Technology
Stack
PRODUCTION SYSTEMS
Autonomy & Learning
Integrated
asset& process& quality
control
Collaborative Process
Route
Transformation (transversal, OT <> IT)
Tata Steel Slide
CURRENT STATE FUTURE STATE
SUPPLY of PRODUCTS
PRODUCTION SYSTEMS
process models
controls
electrical systems
mechanical systems
sensors & actuators
INTEGRATED SUPPLY of
PRODUCTS & SERVICES
Transition
of
Business
Models
Transition
Of
Technology
Stack
PRODUCTION SYSTEMS
Autonomy & Learning
Integrated
asset& process& quality
control
Collaborative Process
Route
Tata Steel Slide
Connected (data available anywhere, anytime) instrumentation & smart measurements
Diagnostic systems to indicate installation health (condition based & predictive)
Integrate installation condition, process performance and product quality variations into
dashboard based on open systems
Embed advanced analytics and diagnostics in real-time (supervisory) control to enable
sustainable ergonomics, effective and efficient learning and
Integrate product quality variations into process control (also feedforward)
Create dashboards for sustainable ergonomics based on open platforms
Vertical Integration
Tata Steel Slide
Reaction
based onMALFUNCTION
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
Mo
nito
rin
g
Installation
Sensors
Process
Measurement
s
Product
Inspection
Current situation:
• Silo-ed response to
operational situations
• No decision support
• In-efficient learning
Reaction
based onALARM
TRENDS
Reaction
based onDEVIATION
3 silo’s in Plant operation
Tata Steel Slide
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
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nito
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Con
tro
l &
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nito
rin
g
Installation
Sensors
Process
Measurement
s
Product
Inspection
Integration Architecture
1th step:
acquire &
integrate &
synchronise &
visualise relevant data
Tata Steel Slide
Con
tro
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Con
tro
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Con
tro
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nito
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Installation
Sensors
Process
Measurement
s
Product
Inspection
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Bearings Speed Hardness
VibrationVibration
EXAMPLE
Tata Steel Slide
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Con
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Con
tro
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Installation
Sensors
Process
Measurement
s
Product
Inspection
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Bearings Speed Hardness
VibrationVibration
30
Product qualityPro
cess
perf
orm
ance
Visualise operational health status
Tata Steel Slide
Con
tro
l &
Mo
nito
rin
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Con
tro
l &
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nito
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Con
tro
l &
Mo
nito
rin
g
Installation
Sensors
Process
Measurement
s
Product
Inspection
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Bearings Speed Hardness
VibrationVibration
31
Product qualityPro
cess
perf
orm
ance
Identify source by analysis
Tata Steel Slide
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
Mo
nito
rin
g
Installation
Sensors
Process
Measurement
s
Product
Inspection
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Bearings Speed Hardness
VibrationVibration
32
Product qualityPro
cess
perf
orm
ance
Drill down to root cause
Tata Steel Slide
DASHBOARD
Data Integration
Data Synchronisation
Data Visualisation
Con
tro
l &
Mo
nito
rin
g
Con
tro
l &
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nito
rin
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Con
tro
l &
Mo
nito
rin
g
Installation
Sensors
Process
Measurements
Product
Inspection
Analysis
Diagnosis
Support
Learning
(operator)
Action
support
solution
(engineer)
Action
(expert)
Action
support
solution
support
solutionreaction
Include intelligence and autonomy
Tata Steel Slide
Integrating predictive asset health data and process data and product
quality data will:
Improve diagnosis of incidents
improved discriminating capabilities by combined data for root cause
analysis
Adequate and quicker reactions/decisions
in (complex) events & situations advice to operators (human-in-the-
loop)
Improved prediction of process-route availability
Value created :
- Maintaining process capabilities with a deteriorating installation
- Reduction of maintenance costs
- Improved OTIF
Vertical Integration
Tata Steel Slide
• ….
FIELD LAB
LIVING LAB
Tata Steel Use Case ()
Supplier Ecosystem
Tata
Digitalised Asset management
SlideTata Steel 36Intelligent Steel Manufacturing
Tijmens rules:
Artifical Intelligence will help you when:
1) You want the computer to perform a (repetitive) task
2) There are a lot of examples
3) Each example has a label (action/prediction/class)
4) The samples have complex data as input
And finally about Artificial Intelligence ?
Source:Scyfer
AI does smart things.
But that does not mean it is intelligent!
SlideTata Steel
How about Jobs?
The human task perspective
Dangerous
Dirty
Dull
WORK
solve with
3.0
Complex
Stress full
Error prone
Isolated
WORK
Solve with 4.0
The business task perspective
Plant stability,
performance and
continuous
optimisation
by
analysis, diagnosis,
learning and
simulation
Solve with 4.0
NOW FUTURE
Intelligent Steel Manufacturing 37
SlideTata Steel
How does the working day life look in a digitalized plant ?
38Intelligent Steel Manufacturing
Understand process performance & stability
Predict maintenance needs
Analyse and solve disruptions
Analyse performance and improve
Permanent education
Challenges:
1. Autonomous and self-learning processes
2. Expertise and skills in the workforce 4.0