Make, monitor, measure: Getting the best out of your data
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Make, monitor, measure: Getting the best out of your data

By National Physical Laboratory

Overview

Discover practical tools and techniques to transform machine data into manufacturing success

If you're a manufacturer, high quality data is one of your most valuable resources.


Just like regular maintenance keeps machinery running at peak performance, using data effectively can help you optimise processes, improve product quality and make smarter, faster decisions. From boosting production efficiency to strengthening supply chains, digital technologies are helping manufacturers stay competitive. For SMEs especially, adopting digital tools is no longer a future ambition - it’s a practical step toward resilience and growth.


Join us 5 November in Huddersfield for an insightful event hosted as part of NPL’s 125- year celebration. This Manufacturer Measurement Network event brings together leading NPL scientists and experts in metrology, data science and digital manufacturing to help you unlock the full potential of your tools and processes.


You’ll explore practical solutions to challenges around data quality, process reliability and confident decision-making. Expect demonstrations, case studies and opportunities to collaborate with NPL’s Manufacturing Metrology and Data Science teams. You’ll also connect with peers, share best practices and discover funding opportunities like Measurement for Business (M4B).


Plus, enjoy complimentary chocolate cake and guided lab tours showcasing cutting-edge metrology and expert insights!


Whether you're just starting to explore digital manufacturing or looking to improve existing systems, this event offers actionable insights to help you build trust in your data, improve performance and pass that confidence down the supply chain.


Agenda

13:00 – Welcome & housekeeping – Eleanor Merson / Sarah Glanville
13:05 – Digital engineering at NPL – Louise Wright
13:15 – TBC – Tim Jones
13:30 – Understanding the impact of sensor quality in predictive analysis – Dan Povey
13:40 – Data quality for manufacturing – Joao Gregorio
13:55 – Machine learning applied to sound and vibrational data for in-process predictive quality control – David Whittaker
14:05 – Addressing the growing need for metrology in the chemical industry – Liam Wright
14:15 – Break (25 minutes) – Eleanor Merson / Sarah Glanville
14:40 – NPL 125 years – Eleanor Merson
14:50 – Knowledge engineering for pharmaceutical manufacturing – Moulham Alsuleman
15:00 – Coating adhesion assessment using synthetic data for deep learning classification – David Gorman
15:15 – Panel session with Q&A – Eleanor Merson and speakers
15:40 – Wrap-up and close – Eleanor Merson / Sarah Glanville
15:45 – Networking and tours – David Gorman / Dan Povey


Register now!

Category: Science & Tech, Science

Good to know

Highlights

  • 3 hours
  • In person

Location

3M Buckley Innovation Centre

Firth Street

Huddersfield HD1 3BD United Kingdom

How do you want to get there?

Organized by

National Physical Laboratory

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Free
Nov 5 · 1:00 PM GMT