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PAT & DATA MANAGEMENT


PAT AND DATA MANAGEMENT PLATFORMS are the foundation of Smart Factories


A PAT knowledge management platform, such as synTQ, is essential to identify which datasets should be stored, assessed and rationalised into actionable knowledge


Martin Gadsby (below) is director at Optimal Industrial Automation


Martin Gadsby, director at Optimal Industrial Automation, looks at how a well-designed data management strategy can help businesses succeed in smart manufacturing


he creation of Smart Factories can bring massive competitive benefits to businesses. These facilities leverage data generated throughout the manufacturing process to maximise responsiveness on the factory floor and optimise production. To unlock this potential and turn their plants into Smart Factories, companies need a knowledge management system to effectively gather, store, visualise and process data.


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The fourth industrial revolution, or Industry 4.0, is driving the digital transformation of business, enabling data-led strategies and fully automated operations. Factory floors are being converted into intelligent networks of connected machines, processes and systems, making it possible for companies to optimise manufacturing by leveraging the power of Big Data. As a result, businesses can benefit from


productive, automated and self-monitoring processes. These are highly cost-, time- and resource efficient and can continuously operate at optimal conditions, maintaining peak performance while producing high- quality products. This means that data-driven, smart technologies can result in substantial


52 FEBRUARY 2021 | PROCESS & CONTROL


cost savings in operational expenses (OPEX), increased profits and reduced time-to-market.


Identify the right technology State-of-the-art technology is needed to set up Smart Factories, including real-time, in- line and on-line sensors to gather information, as well as data mining solutions to generate actionable insight and predictions about processes and operations. Factory and process automation solutions as well as digital twins (or cyber-physical systems) use the knowledge generated by this instrumentation to optimise production and maintenance. For example, while cyber- physical systems support the simulation and evaluation of various production scenarios, closed-loop automation can promptly adjust process parameters to efficiently deliver high quality products. A Process Analytical Technology (PAT)


framework is essential to set-up and interconnect all of these elements for responsive smart manufacturing applications. This is a quality-driven approach that relies on the relationship between critical process parameters and critical quality attributes of raw and in-process materials to optimise


manufacturing activities. The system used to link all the PAT technologies together to create a Smart Factory is known as a data or knowledge management platform. Therefore, when embarking on digital


transformation projects, businesses should select an automation specialist that can implement a comprehensive solution that includes and seamlessly integrates all the necessary technologies. By doing so, manufacturers can create a truly intelligent, interconnected facility. For example, Optimal Industrial Automation has over 30 years of experience in building,


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