Moy Park in £4m partnership for sustainable manufacturing research

By Michelle Perrett

- Last updated on GMT

The funding is to progress research into sustainable smart factory projects.
The funding is to progress research into sustainable smart factory projects.

Related tags Meat & Seafood

Moy Park, the poultry processor, together with a consortium of UK manufacturers from other sectors, has secured £4m in match funding to progress research into sustainable smart factory projects.

The consortium, known as Project Butterfly, brings together high value UK companies to form a collective committed to green manufacturing.

The project is funded through UK Research and Innovation’s Sustainable Smart Factory competition. It links businesses from sectors including food and drink, technology, automotive, aerospace and defence with research partners, to share best practice and develop solutions to reduce carbon emissions in manufacturing. 

Productivity improvements

The Moy Park consortium, which is partnering with the University of Lincolnshire and the University of Sheffield, is using the funding to develop models that utilise intelligent data tools and AI to deliver productivity improvements and reduce energy, waste and water usage. 

Dr Anne Richmond, head of research and development, Moy Park, says the work of Project Butterfly will play a key role as the company strives to achieve net-zero greenhouse gas emissions by 2040.

“Small changes can have a big impact. We call this the butterfly effect, and it is this principle that Project Butterfly seeks to use to accelerate our progress to net zero,”​ said Dr Richmond.

Net zero

“Moy Park aims to reach net zero by at least 2040, and we continue to invest and develop innovative strategies in the areas of emissions, energy, water, biodiversity and waste that will help us achieve that goal and ensure we continue to produce food sustainably and reduce our environmental impact.

“This is a really exciting opportunity for us to engage with manufacturers from other sectors, and academic experts in data science and robotics, both to accelerate our knowledge and understanding, and apply these to address current and future challenges.”

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