Duration
1 day
Overview
We are in the midst of the fourth industrial revolution, or Industry 4.0 as its more commonly known. Of course, with a great opportunity, comes great challenges. But before we delve any deeper, let’s look at what Industry 4.0 is in a nutshell. Industry 4.0 is the of automation information and data exchange in manufacturing technologies. The notion includes cyber-physical systems, the Internet of things (IoT) and cloud computing. In essence, Industry 4.0 creates what has been called a smart factory. To elaborate, digital technology has changed the face of industrial and manufacturing world. The convergence of IoT, Artificial Intelligence and robots, among other advancements, has enabled smart factories as well as the quantum leap into Industry 4.0. This involves the integration of the physical and software in production, as well as the service sector. Amazon, Uber, Facebook, ‘smart factories’ and 3D printing, are among modern pioneers of the new industrial revolution. Industry 4.0 is coming fast and to compete in tomorrow’s world, and beyond, tech companies must evolve with the times. So, the question is: are you ready for Industry 4.0? And what challenges will you face in the near future.
Target Audience
This workshop is perfect for companies that want to work better with digital technologies and need a bit of direction to focus their energy. You may be:
- An organization that is looking to modernize internal processes and systems, to make them more efficient or future-proof.
- A business that feels like it has fallen behind in the use of technology and wants to set a future strategy.
- A consumer-focused company who’s wanting to use technology to better support customers’
experiences.
- A digital agency, solution developer/provider, IT consultancy, who wants staff to learn more about the new technologies and to be able to better support clients.
- Someone who wants to learn new skills and ways of thinking about digital, to apply to your work environment.
Attendees don’t need any design or development experience - just a willingness to look critically at current situations, to be able to imagine what could be better, and to have the drive to make it happen. We recommend a mix of diverse roles attend - from senior management through to those on the front lines day-to-day.
Module 1: Introduction to Industry 4.0 The Various Industrial Revolutions
- The First Industrial Revolution
- The Second Industrial Revolution
- The Third Industrial Revolution
- The Fourth Industrial Revolution
Digitalisation and the Networked Economy
- Managing Knowledge in the Age of Digitalization
- Networked Economy
Drivers, Enablers, Compelling Forces and Challenges for Industry 4.0
- Drivers Reasons leading to Industry 4.0
- Enablers of Industry 4.0
- Compelling Forces of Industry 4.0
- Challenges of Industry 4.0
The Journey so far: Developments in USA, Europe, China and other countries
- Early Development
- Areas of Coverage
- Developments in USA, Europe, China and other countries
Comparison of Industry 4.0 Factory and Today's Factory
- Industry 4.0 Transformation and Comparison of Industry 4.0 with Today's Factory
- Trends of Industrial Big Data and Predictive Analytics for Smart Business Transformation
Module 2: Road to Industry 4.0
Internet of Things (IoT) & Industrial Internet of Things (IIoT) & Internet of Services
- Intro to IoT & IIoT
- Case Study/Example - Advanced Automobile Parking Navigation System
- Bridging to Rise of Industrial IoT
Smart Manufacturing
- Design of Self-Aware Machines
- How Data is Adding Quality to Manufacturing
- Industry 4.0 - The steps to the Smart #1 SMT Factory
Smart Devices and Products
- Future Sensor-Implanted Goodyear Tires
Smart logistics
- Technologies for Smart logistics
- Applications of Smart Logistics
- Smart Warehouse
- Predictive Selling in a Smart Warehouse
Smart Cities
- Smart Cities: Current Developments in Hong Kong
- What is a smart city?
- Smart Cities in Southeast Asia
Predictive Analytics
- Predictive Analytics for Fleet-based Systems
Module 3: Related Disciplines, System, Technologies for Enabling Industry 4.0 Cyberphysical Systems
- Cyber Physical Systems and Digital Twin Systems Design
- Cyberphysical Systems
Robotic Automation and Collaborative Robots
- RPA and Tools
- Process Management & Process Automation
Support System for Industry 4.0
- ERP-Systems
- MES Manufacturing Execution Systems
- SCADA
- PLC
Cyber Security
- Introduction to Cybersecurity
- Cases of Cybersecurity
Module 4: Role of data, information, knowledge and collaboration in future organizations Resource-based view of a firm
- Data as a new resource for organizations
- The preciousness and importance of data
- Machine Intelligence
Cloud Computing Basics
- Definition
- An Analogy
- Characteristics Of The Cloud
- Animoto Company Case Study
- The Knowledge Cloud
- Human-machine Co-operative Problem Solving
- Future Of Cloud Services
Module 5: Other Applications and Case Studies
- Industry 4.0 Laboratories
- Case Study ACI Potsdam
- IIoT Case Studies
- Intro to IIoT case series
- GE Aviation
- Komatsu Mining Equipment
- Truck Fleet Systems
- John Deere Agri Service System & Precision Farming
- Alstom High Speed Train
- Wision Furniture Foshan, China
Module 6: Business issues in Industry 4.0 Opportunities and Challenges
- Introduction of opportunities and challenges in an Industry 4.0 world
- Enterprise applications and their adoption in an organization
- Business Issues in I4 0, Opportunities and Challenges
- Issues and Challenges in Implementing Industry 4.0
- Maturity Models for I4.0
Future of Works and Skills for Workers in the Industry 4.0 Era
- The Changing Nature of Work and the skills needed
- Attitude Acceptance
- Organizing Routines or Innovations
Programme scope, delivery arrangements and suitability are confirmed during enquiry.