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Industry 4.0

  1. 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
  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
  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
  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
  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
  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
  7. 8 9 Technology Advances
  8. 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. 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
  10. 11 Example ; Smart City
  11. 9 Technology Advances: Autonomous Robots  Autonomous, cooperating industrial robots  Numerous integrated sensors and standardized interfaces 12
  12. 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
  13. Addictive manufacturing vs Subtractive manufacturing 14 Supply Chain with 3D Printing
  14.  Simulation of value networks  Optimization based on real-time data from intelligent system 9 Technology Advances: Simulation 15
  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
  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
  17. 9 Technology Advances: Internet of Things (IoT)  Network of machine and products  Multidirectional communication between networked objects 18
  18. Examples: IoT • Waymo google’s autonomous car • puf book store in Paris with no books 19
  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
  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
  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
  22. Did not exist in 2006 23
  23. What Is Industry 4.0? Digitalization Automation AnalyticsConnectivity 24
  24. Example– Value Chain (Digitalization) 25
  25. 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
  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
  27. THE GLOBAL COMPETITIVENESS INDEX 2017-2018: Sri Lanka Performance Overview 28
  28. Top 10 Skills to be relevant in Industry 4.0 29
  29. 30 https:z//www.linkedin.com/in/vinoli-soysa T H A N K Y O U

Notas do Editor

  1. 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
  2. With that manufacturing plants were built by laid the infrastructure, processes and liner assembles systems to mass production of products.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Enterprise resource planning,Supply chain mgt, manufacturing execution system , Customer relations mgt
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