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SMART
MANUFACTURING-
INDUSTRY4.0
PRESENTED BY
AR KAILAASH SUBRAManI
Panimalar engineering college
Bangalore Trunk Road, Varadharajapuram,
Nazarethpettai, Poonamallee, Chennai, Tamil
Nadu 600123
FOUR PHASES OF INDUSTRIALIZATION
INDUSTRY 4.0
WHAT IS IT?
The concept of “Industry 4.0” comes from Germany. It defines a new way of
organizing factories, also called smart factories, aiming to better serve costumers
through greater flexibility of production and resource optimization.
KEY PRINCIPLES OF THE FACTORY 4.0
THE FACTORY BECOMES
DIGITAL AND FLEXIBLE
SIMULATION TOOLS
AND POWERFULL DATA
PROCESSING
AN EFFICIENT FACTORY
REGARDING ENERGY AND
RESOURCES
Industry 4.0
Autonomous
Robots
Simulation
Horizontal
and vertical
system
integration
Industrial
Internet of
Things
Cyber
Security
Additive Mfg
Augmented
reality
Big data
analytics
BUILDING BLOCKS OF INDUSTRY 4.0
PATH OF COMMUNICATION
IMPACTING ALL ASPECTS OF VALUE CHAIN
MAIN CHARACTERISTICS OF INDUSTRY 4.0
 digitization and integratıon of vertıcal-horızontal value chaın networks
 digitization of product and service portfolio
 big data and powerful analytic means
 through-engineering across the entire value chain
 new products and production systems
 data and informatıon are available at all stages of product’s life cycle
 impact of exponential technologies as an accelerant
 individualised solutıons
 flexibılity
 cost savings
COMPARISON OF TODAY’S FACTORY AND AN INDUSTRY 4.0 FACTORY
Data source Today’s factory Industry 4.0
Attributes Technologies Attributes Technologies
component
Machine
Production
system
sensor
controller
Networked
system
precision
Produceibility and
performance
Productivity and
OEE
Smart sensor
and fault
detection
Condition-based
monitoring and
diagnostics
Lean operations:
work and waste
reduction
Self-aware
Self-predict
Self-aware
Self-compare
Self-configure
Self-maintain
Self-organize
Self-predict
Degradation
monitoring &
remaining
useful life
prediction
Up time with
predictive health
monitoring
Worry-free
productivity
DIGITAL ENTERPRISE
ENTIRE VALUE CHAIN IS DIGITIZED AND INTEGRATED
• Physical to digital: Capture information from the physical world and create a digital record
from physical data
• Digital to digital: Share information and uncover meaningful insights using advanced
analytics, scenario analysis, and artificial intelligence
PHYSICAL-TO-DIGITAL-TO-PHYSICAL (PDP) LOOP
• Digital to physical: Apply
algorithms to translate digital-world
decisions to effective data, to spur
action and change in the physical
world
A cyber-physical system (CPS) is a system of collaborating computational elements
controlling physical entities.
 CPS are physical and engineered systems whose operations are monitored, coordinated,
controlled and integrated by a computing and communication core.
The cyber level acts as central information hub in this architecture. Information is being
pushed to it from every connected machine to form the machines network
They allow us to add capabilities to physical systems by merging computing and
communication with physical processes.
These analytics provide machines with self-comparison ability, where the
performance of a single machine can be compared with and rated among the fleet.
CYBER-PHYSICAL SYSTEM (CPS)
Configuration
level
Cognition
level
Cyber level
Data to information
conversion level
Smart connection
level
Self configure for resilience
Self adjust for variation
Self optimize for disturbance
Integrated simulation and synthesis
Remote visualisation for human
Collaborate diagnostics and decision making
Twin model for components and
machine
Time machine for variation and
identification and memory
Clustering for similarity in data mining
Smart analysis for
Component machine health
Multi dimension data correlation
Degradation and performance
prediction
Plug and play
Tether-free communication
Sensor network
ARCHITECTURE OF CYBER-PHYSICAL SYSTEM
APPLICATIONS AND TECHNIQUES OF CPS
The IoT security is a major concern. The companies are working to address the
security related loop holes.
Skills and education of workers working on industry 4.0 based processes need to
improved.
There are redundant workers in corporate IT department and hence adoption of
industry 4.0 is a major threat for these IT staff.
There will be general reluctance to change to industry 4.0 by company
stakeholders.
Need to eliminate any IT snags as this will cause costly production outages.
Reliability and stability are required for M2M (Machine to Machine)
communication. This demands very short and stable latency timings in the system.
It requires to maintain integrity of production processes.
It requires to educate staff to adopt this 4th industrial revolution. This requires
considerable time as well as efforts across the industries.
CONS OF INDUSRTY 4.0
Smart manufacturing industry 4.0

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Smart manufacturing industry 4.0

  • 1. SMART MANUFACTURING- INDUSTRY4.0 PRESENTED BY AR KAILAASH SUBRAManI Panimalar engineering college Bangalore Trunk Road, Varadharajapuram, Nazarethpettai, Poonamallee, Chennai, Tamil Nadu 600123
  • 2. FOUR PHASES OF INDUSTRIALIZATION
  • 3. INDUSTRY 4.0 WHAT IS IT? The concept of “Industry 4.0” comes from Germany. It defines a new way of organizing factories, also called smart factories, aiming to better serve costumers through greater flexibility of production and resource optimization. KEY PRINCIPLES OF THE FACTORY 4.0 THE FACTORY BECOMES DIGITAL AND FLEXIBLE SIMULATION TOOLS AND POWERFULL DATA PROCESSING AN EFFICIENT FACTORY REGARDING ENERGY AND RESOURCES
  • 4. Industry 4.0 Autonomous Robots Simulation Horizontal and vertical system integration Industrial Internet of Things Cyber Security Additive Mfg Augmented reality Big data analytics BUILDING BLOCKS OF INDUSTRY 4.0
  • 6. IMPACTING ALL ASPECTS OF VALUE CHAIN
  • 7. MAIN CHARACTERISTICS OF INDUSTRY 4.0  digitization and integratıon of vertıcal-horızontal value chaın networks  digitization of product and service portfolio  big data and powerful analytic means  through-engineering across the entire value chain  new products and production systems  data and informatıon are available at all stages of product’s life cycle  impact of exponential technologies as an accelerant  individualised solutıons  flexibılity  cost savings
  • 8. COMPARISON OF TODAY’S FACTORY AND AN INDUSTRY 4.0 FACTORY Data source Today’s factory Industry 4.0 Attributes Technologies Attributes Technologies component Machine Production system sensor controller Networked system precision Produceibility and performance Productivity and OEE Smart sensor and fault detection Condition-based monitoring and diagnostics Lean operations: work and waste reduction Self-aware Self-predict Self-aware Self-compare Self-configure Self-maintain Self-organize Self-predict Degradation monitoring & remaining useful life prediction Up time with predictive health monitoring Worry-free productivity
  • 9. DIGITAL ENTERPRISE ENTIRE VALUE CHAIN IS DIGITIZED AND INTEGRATED
  • 10. • Physical to digital: Capture information from the physical world and create a digital record from physical data • Digital to digital: Share information and uncover meaningful insights using advanced analytics, scenario analysis, and artificial intelligence PHYSICAL-TO-DIGITAL-TO-PHYSICAL (PDP) LOOP • Digital to physical: Apply algorithms to translate digital-world decisions to effective data, to spur action and change in the physical world
  • 11.
  • 12.
  • 13. A cyber-physical system (CPS) is a system of collaborating computational elements controlling physical entities.  CPS are physical and engineered systems whose operations are monitored, coordinated, controlled and integrated by a computing and communication core. The cyber level acts as central information hub in this architecture. Information is being pushed to it from every connected machine to form the machines network They allow us to add capabilities to physical systems by merging computing and communication with physical processes. These analytics provide machines with self-comparison ability, where the performance of a single machine can be compared with and rated among the fleet. CYBER-PHYSICAL SYSTEM (CPS)
  • 14. Configuration level Cognition level Cyber level Data to information conversion level Smart connection level Self configure for resilience Self adjust for variation Self optimize for disturbance Integrated simulation and synthesis Remote visualisation for human Collaborate diagnostics and decision making Twin model for components and machine Time machine for variation and identification and memory Clustering for similarity in data mining Smart analysis for Component machine health Multi dimension data correlation Degradation and performance prediction Plug and play Tether-free communication Sensor network ARCHITECTURE OF CYBER-PHYSICAL SYSTEM
  • 16. The IoT security is a major concern. The companies are working to address the security related loop holes. Skills and education of workers working on industry 4.0 based processes need to improved. There are redundant workers in corporate IT department and hence adoption of industry 4.0 is a major threat for these IT staff. There will be general reluctance to change to industry 4.0 by company stakeholders. Need to eliminate any IT snags as this will cause costly production outages. Reliability and stability are required for M2M (Machine to Machine) communication. This demands very short and stable latency timings in the system. It requires to maintain integrity of production processes. It requires to educate staff to adopt this 4th industrial revolution. This requires considerable time as well as efforts across the industries. CONS OF INDUSRTY 4.0