INDUSTRY 4.0: 1st Industrial Revolution
Driven by the discovery of steam and water power
Mechanical production (replace animal & human power with machines )
Highly labour intensive
Late 18th century
Industry 1.0
2
Late 19th century
Industry 2.0
Late 18th century
Industry 1.0
Application of electrical technology
Manufacturing plants, processes and liner assembles
systems
Mass production (labour Intensive)
INDUSTRY 4.0: 2nd Industrial Revolution
3
Late 19th century
Industry 2.0
1970s to 2000s
Industry 3.0
Late 18th century
Industry 1.0
Computation and data analysis technologies
Electronics, Internet & IT
Automation & Mass production
INDUSTRY 4.0: 3rd Industrial Revolution
4
Late 19th century
Industry 2.0
1970s to 2000s
Industry 3.0
2010 onward
Industry 4.0
Bring together digital, physical and biological systems
Symbolized by the real time data exhibited by the machines.
Capital intensive
Late 18th century
Industry 1.0
Industry 4.0: 4th Industrial Revolution
5
2010 onward
Industry 4.0 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.
Industry 4.0: Cyber -Physical Systems
They allow us to add capabilities to physical
systems by merging computing and
communication with physical processes.
6
2010 onward
Industry 4.0 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.
Industry 4.0: Cyber -Physical Systems
Computation
Communication
Information
Control
They allow us to add capabilities to physical
systems by merging computing and
communication with physical processes.
7
9 Technology Advances: Augmented Reality
Augmented reality for maintenance , logistics and
all kinds of SOP (Std operating procedure)
Display of supporting information e.g : through
glasses
Increase people and process performances
Decreases costs emerging from human error or
inefficiency.
9
9 Technology Advances: Big Data
Extreme large set of data (e.g: ERP, SCM, MES,
CRM and machine data )
Real-time decision making, support and
optimization
Reduce downtime, increasing output.
Capability to foresee the failure of machines,
predictive analytics act as an enabler for
predictive maintenance
10
9 Technology Advances: Addictive manufacturing
Addictive manufacturing vs Subtractive manufacturing
Cost-efficiency of low-volume productions
Mass customization
Enforce the usage of other materials than plastics
(metal, ceramic and even biomaterials)
Decentralized production model (reduce transport
distances & inventory)
13
Simulation of value networks
Optimization based on real-time data from
intelligent system
9 Technology Advances: Simulation
15
Cross company data integration based on data
transfer standards (e.g: ERP, SCM, MES, CRM and
machine data )
Preordination for a fully automated value chain
(from supplier to customer, from management
to shop floor)
9 Technology Advances: System Integration
16
Management of huge data volumes in open
systems (needed to automate production processes)
Real-time communication for production system
Provide various solution packages such as
Infrastructure as a Service (IaaS), Platform as a
Service (PaaS), or Software as a Service (SaaS)
9 Technology Advances: Cloud Computing
17
9 Technology Advances: Internet of Things (IoT)
Network of machine and products
Multidirectional communication between
networked objects
18
Examples: IoT
• Waymo google’s autonomous car • puf book store in Paris with no books
19
Industry 4.0 adds a layer of vulnerability.
Wearable of the workforce, for example, reveal
location and personal data, turning corporate
espionage and hackers into a legitimate threat.
Increase the security level in manufacturing lines
and smart factories.
Operation in networks and open systems
High level of networking between intelligent
machines, products and systems
9 Technology Advances: Cyber security
20
Industry 4.0 – Design Principle
Inter-operability
Information
transparency
Technical
assistance
Decentralized
decisions
Industry 4.0
Internet of things (IoT)
Internet of People (IoP)
Digital plant models
Virtual copy of the physical world
The ability of cyber-physical systems to
physically support humans by
conducting a range of tasks.
The ability of cyber-physical systems to
make decisions on their own and to
perform their tasks as autonomous as
possible.
21
Industry 4.0 – Design Principle
Interoperability
Information
transparency
Technical
assistance
Decentralized
decisions
Industry 4.0
Internet of things (IoT)
Internet of People (IoP)
Digital plant models
Virtual copy of the physical world
The ability of cyber-physical systems to
physically support humans by
conducting a range of tasks.
The ability of cyber-physical systems to
make decisions on their own and to
perform their tasks as autonomous as
possible.
22
Customer
experience
Operational
process
Business
models
Industry 4.0: Impact
Increased flexibility in
production and
manufacturing on demand
Digital designs
Data driven supply chains
Reduce defects
24/7 production
Predictive maintenance
Real time data 26
Industry 4.0: Challenges
Technological Challenges
• Communication reliability & QoS
• Cyber Security
• Maturity of machine intelligence
• Handling big data
Social Challenges
• General reluctance to change by stakeholders
• Lack of adequate skills
• Unemployment
27
First Industrial revolution was driven by the discovery of steam and water power to do to all kinds of interesting things. It took place in early 90 century. However working all industry was based highly labour intensive
With that manufacturing plants were built by laid the infrastructure, processes and liner assembles systems to mass production of products.
Digitalization in the 20th century gave the birth to third industrial revolution. Computation and data analysis technologies ensured consistence and efficient operational processes. The machine could acquire very basic form of intelligence to support decision making.
Now we are in the early stages of the forth industrial revolution which is bringing together digital, physical and biological systems. With the advancement of big data, cloud computing, data collection and transmission devices, software and increasingly connected societies we have stepped in to the fourth industrial revolution or industry 4.0 and it is symbolized by the real time data exhibited by the machines.
Now we are in the early stages of the forth industrial revolution which is bringing together digital, physical and biological systems. With the advancement of big data, cloud computing, data collection and transmission devices, software and increasingly connected societies we have stepped in to the fourth industrial revolution or industry 4.0 and it is symbolized by the real time data exhibited by the machines.
Now we are in the early stages of the forth industrial revolution which is bringing together digital, physical and biological systems. With the advancement of big data, cloud computing, data collection and transmission devices, software and increasingly connected societies we have stepped in to the fourth industrial revolution or industry 4.0 and it is symbolized by the real time data exhibited by the machines.