Jim O'Hagan
Jim O'Hagan
Gateway Manager

Smarter Factory

What is Smarter Factory

 

The Smarter Factory Technology Gateway is a centre of excellence for Industry 4.0/5.0, driving digital and green transformation to support innovative enterprises and shape the future of manufacturing. Working in close collaboration with Enterprise Ireland, the Gateway will partner with all of industry in the manufacturing value chain, in research projects leading to impactful innovation.

At the core of these research partnerships lies a shared belief in the power of data. The Smarter Factory’s emphasis on harnessing data, through cyberphysical systems (CPS), the Internet of Things (IoT) and edge devices, lays a foundation for the effective deployment of intelligent systems, cognitive robots, computer vision systems and artificial intelligence (AI).

The University’s Researchers bring deep expertise in industrial automation, manufacturing systems, control systems, data acquisition, machine learning, simulation, digital twins, algorithm development, intelligent business tools and the industrial data space.

A core priority of the gateway will be the practical applications of these advanced digital technologies through demonstration in real-world industrial scenarios, where new insights from smarter data can drive improved quality, predictive maintenance, increased capacity, cost reductions, improved efficiency and more sustainable operations.

Supported by an Industry Advisory Board, industry partners and regional stakeholders, the activities and strategies for the Smarter Factory Technology Gateway are focused on enabling industry to address the opportunities arising from Industry 4.0/5.0, the digitalisation of manufacturing, and advanced in Artificial Intelligence (AI) to support the development of agile, sustainable and resilient manufacturing operations and exploit the innovation and funding potential of National and European Research Programmes.

 

 

Expertise

  • -Digital Business Tools: Supporting Operational Excellence and Data-driven Decision making
  • -Data-driven Energy Efficiency. Supporting Sustainable Manufacturing and Product lifecycle management (PLM).
  • -Smart Manufacturing: Supporting improvements in design, productivity and maintenance.
  • -Cognitive Robotics and Vision Systems: Supporting adoption of Industry 4.0, automated and zero-defect processes
  • -Simulation Models for Production: Supporting Digitalisation of Processes and Business Intelligence

 

Research performed by:

TUS: Midwest

For more Information click here.