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Smart people + Smart process = Smart factory
 

The S3 project is creating a living, real time carbon footprint. 

S3's effectiveness is based on a simple premise: 
That to reduce emissions you first must measure and monitor, then identify where you can improve, then finally put improvements into effect.

This is a repeating cycle which requires constant checking, correcting, and identifying new areas of progress. 

Take a look at our project progress so far 

S3 are creating a digital twin factory using state of the art technology to track carbon emissions in food manufacturing. By incorporating aspects of Gamification to motivate a workforce, and real time carbon monitoring, we aim to demonstrate carbon reductions in real time at the Raynor Foods manufacturing site in Chelmsford, Essex. 

University of Lincoln
University of Cambridge IFM

S3 Consortium 

Software Imaging

The global food system is facing a crisis in energy use and waste management. We need to reduce our impact and make better use of our resources to reduce our greenhouse gas footprints and optimize production.

 

We urgently need to be able to determine where energy and resources are being lost before we can even begin to make improvements. 

So we need the most comprehensive, most immediate data possible. Currently businesses have a problem.

They rely on legacy data to establish greenhouse gas emission footprints, and their analysis is often inaccurate because the data is not live and is only derived from a part of their process chain. There is no complete, real-time picture that manufacturers can respond to.

We aim to fix this by delivering real-time, comprehensive greenhouse gas emission footprinting.

 

The S3 project will provide this information in a form that both management and production staff can see and use to help get their resource footprint down to the smallest possible size - and keep it there. 

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