Data Driven Manufacturing

By Rowan Easter-Robinson

Rowan, an Engineer from TrackMyMachines talks to experts in the field of manufacturing to find out how you can capture, monitor and analyse data in your factory or workshop.

We interview rese

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FAQs about Data Driven Manufacturing:

How many episodes does Data Driven Manufacturing have?

The podcast currently has 6 episodes available.

Data Driven Manufacturing episodes:

May 28, 2025 #6 - Steve Thompson
In this episode of Data Driven Manufacturing Steve Thompson, Engineering lead for HEXMON low cost industrial factory air quality measurement sensors talks about the importance of CNC coolant management and the impact on air quality in machine shops.
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46min
February 09, 2025 #5 Carl Parry
In this episode of Data Driven Manufacturing, we talk to well-known and excellent Manufacturing Engineer, Carl Parry. He's been working on production optimisation and new projects at Gardner Denver in Bradford for over 11 years. Having successfully lead a huge number of optimisation projects and with an exciting new capital investment for the site on the way, we're really happy to be talking to Carl.

He was also one of the first TrackMyMachines customers, having started using it to measure the site's productivity over 3 years ago.

Today's discussion is around what a Manufacturing Engineer's job really is, how to be a successful one, and how data plays a massive role in bringing plants up to their maximum productivity potential.
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26min
January 01, 2025 #4 Erdem Ozturk
In this episode of Data Driven Manufacturing, Rowan Robinson speaks with Erdem Öztürk, founder and CEO of Productive Machines. Öztürk shares his journey from building a CNC drilling machine as a student to pioneering advancements in machining dynamics. He discusses the challenges of bridging the gap between academic research and industry applications, his work at the AMRC, and how these experiences led to the creation of his startup Productive Machines.
We explore innovative solutions for optimizing machining processes, minimizing inefficiencies, and leveraging advanced modeling techniques to transform manufacturing.

You can check out the machining optimisation technology from Productive Machines at their website here: https://productivemachines.co.uk/

To find out more about Rowan's company that can help you monitor your CNC machinery cost-effectively check out TrackMyMachines at https://trackmymachines.com
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43min
December 04, 2024#3 Gareth Evans
In this episode, I chat with Gareth Evans, a health and safety expert with a fascinating career in respiratory disease research and manufacturing safety. We explore:
Health risks in machine shops.
Contaminated lubricants and workplace aerosols.
Using low-cost sensors to improve safety.
📺 Watch now: https://youtu.be/KexJ4yGW6nk
🎧 Stream future episodes:
Spotify: https://open.spotify.com/show/10Vr4IwcHb8lDp3PtZVdHy
Amazon Music: https://music.amazon.co.uk/podcasts/05199362-6b1b-4401-ba94-3f5953c60869/data-driven-manufacturing
Apple Podcasts: https://podcasts.apple.com/gb/podcast/data-driven-manufacturing/id1773992910
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57min
October 15, 2024 #2 - Andrew Sherlock: Custom CAD databases, Model change tracking, CoLab at NMIS
This episode explores how data science, AI, and machine learning are used to improve manufacturing competitiveness, productivity, and sustainability. It highlights ShapeSpace's technology, which optimizes CAD model management and identifies component duplication in sectors such as aerospace and automotive. The discussion also covers the Data Driven Design and Manufacturing CoLab (D3M CoLab), an initiative that equips company staff with skills to bridge the gap between data science and manufacturing. Additionally, the episode addresses the challenges that SMEs face when adopting data-driven technologies, such as deciding between off-the-shelf solutions, customization, or in-house development. Emphasis is placed on the need for educated decision-making and ongoing support to ensure successful technology adoption in manufacturing.
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25min
October 15, 2024 #1 Conor Mac Fadden: Machine connectivity, making best use of data, Colab
Conor Mac Fadden is a Manufacturing Engineer at the National Manufacturing Institute of Scotland (NMIS). He's been working on manufacturing projects with the Universtity of Strathclyde for over 5 years to date.
Recently he's been interested in connecting CNC machinery up to monitor their productivity. Having organised a Data in Manufacturing event at NMIS, Rowan managed to collar him to discuss in detail about how manufacturers can connect and monitor their machinery, why they'd want to do it and other concerns in this field like security.
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37min

FAQs about Data Driven Manufacturing:

How many episodes does Data Driven Manufacturing have?

The podcast currently has 6 episodes available.