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ARTC enters into strategic partnership to develop smart manufacturing solutions

Photo credit: A*STAR (From LinkedIn)

The Advanced Remanufacturing and Technology Centre (ARTC) announced a strategic partnership with Fujitsu to accelerate the pace of digital transformation for the Factory of the Future. The collaboration seeks to allow businesses of all sizes to tap the potential of smart manufacturing solutions.

ARTC is a public-private collaboration between the Agency for Science, Technology and Research (A*STAR), Nanyang Technological University (NTU) and over 50 industry partners working together to bridge technological gaps in the adoption of advanced manufacturing and remanufacturing capabilities.

A Memorandum of Understanding (MoU) was signed between Fujitsu and the ARTC. The three-year partnership will leverage the expertise of Fujitsu, and ARTC’s research and development expertise and state-of-the-art facilities to develop strategic capabilities that address key challenges faced by the manufacturing sector, and prepare for a future ecosystem of intelligent manufacturing.

Through the partnership, the two parties will jointly identify and develop solutions to realise the digital transformation of a wide range of enterprises involved in the manufacturing supply chain, including small and medium companies (SMEs). This will offer potential productivity and efficiency gains, minimise security risks and enhance workplace safety.  

Areas of Collaboration

Fujitsu and ARTC will collaborate to apply technologies in the areas of artificial intelligence (AI) and robotics, Head Mounted Display and Industrial Augmented Reality, Cybersecurity, Wearable technology, Human and Robotics Harmonisation to the manufacturing industry. Fujitsu’s integrated design environment will be rolled out for product development to businesses to better integrate processes, such as design development within the manufacturing environment.

Industrial IoT

To help the manufacturing sector achieve productivity and efficiency gains, Fujitsu and ARTC will work together to overcome a key challenge of Industrial IoT (IIoT) - open interoperability and development of common architecture. They will look into the design of standard reference architecture, where the design of all elements - sensors, network, data systems, security and applications, are well integrated.

Wearables for Manufacturing

Fujitsu and ARTC will explore the use of wearable technology to track workers' vital signs, activities, and location to enhance safety at the workplace.

Cybersecurity in Smart Factories 

This collaboration will address cybersecurity requirements of Smart Factories, to identify and recommend best practices and solutions. They will jointly identify suitable security solutions and processes to minimise risks to operations and data loss in the manufacturing process.

Head Mounted Display and Industrial Augmented Reality applications

The use of Head Mounted Displays and Augmented Reality applications will be explored to raise productivity levels through enhanced information sharing. This will help to promote remote assistance for workers in hard-to-access areas and large factories.

Artificial Intelligence in Manufacturing

Artificial Intelligence, such as deep learning, machine learning and genetic algorithm, could potentially help improve efficiencies in manufacturing and reduce costs. Fujitsu and ARTC will explore the use of such techniques through prototypes and proof of concepts, with the aim of developing them into applications for real-world deployments.  

Human and Robotics Harmonisation

To enable Humans and Robots to co-work in future factories, new tools in robotics programming and simulation are required to establish harmonised work between human and robots. The two parties will explore the use of such harmonisation tools through building test beds

Machine Learning solutions

Machine learning can be used to solve challenges in anomaly detection and predictive maintenance. Fujitsu and ARTC will explore use of machine learning solutions and promote its use in various manufacturing scenarios.

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