The Centre has worked with partners to create a state-of-the-art ‘Digital Hub’ to offer companies ‘hands-on’ experience with the latest industrial digital technologies. The Hub will offer a series of Workshops and Seminars to demonstrate how digital technologies can optimise production processes and open up new business opportunities, including the new ‘Industry 4.0 Champions Programme’. This free programme includes a short series of Workshops providing access to a range of cutting-edge digital technologies.
I4.0 CHAMPIONS PROGRAMME: SKILLS CONNECT
WORKSHOPS/SESSIONS
- Introduction to Industry 4.0
This session will introduce you to the principles that underpin Industry 4.0, also known as the Fourth Industrial Revolution, represents a fundamental shift in the way manufacturing processes are carried out. This revolution is characterised by the integration of advanced technologies such as artificial intelligence, robotics, the Internet of Things, and big data analytics into the manufacturing sector. These principles aim to improve productivity, reduce costs, and enhance product quality, ultimately leading to greater competitiveness in the global marketplace.
- Advanced Simulation and Design
Participants will learn about the latest technological advancements in Design and Advanced Simulation and how they are revolutionising the manufacturing processes in the era of Industry 4.0. They will explore how these technologies can be harnessed to create virtual prototypes, simulate real-world scenarios, and enhance the efficiency and productivity of engineering and manufacturing operations. This session will introduce the use of Advanced Simulation, Virtual Reality (VR), Augmented Reality (AR) in the context of all types of design (parts, processes and products) for Engineering and Manufacturing, specifically in relation to Industry 4.0.
- Robotics and Automation
This course will explore the advancements in robotics and automation within the engineering and manufacturing industries, particularly in the context of Industry 4.0. Participants will learn about the various applications of robotics and automation in streamlining production processes, enhancing efficiency, and improving overall productivity in manufacturing settings.
- Additive Manufacturing: 3D Scanning and Printing
This session will introduce the principles and applications of 3D scanning and 3D printing in the field of Engineering and Additive Manufacturing. Participants will learn how to capture physical objects in a digital format using 3D scanning technology. How to manipulate and modify these digital models to generate technical drawings for component replacement and other engineering projects. Participants will gain an understanding of how to go from technical drawing to printing a component.
- Process Control Systems: Data generation and Data Analytics
This session will explore the use of sensors in engineering and manufacturing processes to monitor and collect data for analysis. The focus will be on leveraging this data to drive efficiency and productivity in the context of Industry 4.0. Participants will learn about different types of sensors, their applications, and how they can be integrated into existing processes. The session will also cover data analysis techniques and tools to make informed decisions based on the sensor data.
- Final Session
Review Workshop– What Next?
The Review Workshop provides valuable insights and feedback that can help identify the next steps
- Action Planning
- Further Training and Resources
- Change Management
TRAINING DATES
Cohorts 1 and 2 Thursday 19th September to 31st October
Session 1 Thursday 19th September
Session 2 Thursday 3rd October
Session 3 Thursday 10th October
Session 4 Thursday 17th October
Session 5 Thursday 24th October
Session 6 Thursday 31st October
Cohorts 3 and 4 Wednesday 16th October – 20th November
Session 1 Wednesday 16th October
Session 2 Wednesday 23rd October
Session 3 Wednesday 30th October
Session 4 Wednesday 6th November
Session 5 Wednesday 13th November
Session 6 Wednesday 20th November
Cohorts 5 and 6 Monday 11th November to 16th December
Session 1 Monday 11th November
Session 2 Monday 18th November
Session 3 Monday 25th November
Session 4 Monday 2nd December
Session 5 Monday 9th December
Session 6 Monday 16th December