The Virtual Engineer 2 – Cloud-based optimisation of production in the dairy sector
Moody Direct, an SME in the dairy industry, developed predictive maintenance software to reduce downtime and increase sales. The software allows near-real-time data analysis and decision-making, enabling Moody to offer enhanced Service Agreements to UK customers.
Start date: 01/11/2015
Duration in months: 18
Problem Description
The dairy industry faces high turnover and low margins, with machines breaking down 3-5 times per year, costing up to €11.4m annually. To reduce downtime and increase sales, the aim is to offer enhanced predictive maintenance services.
Goals
New services
Challenges
Some predictive maintenance measures in place already, but they are not comprehensive and not multi-machine/multi-site.
Innovation results
The University of Portsmouth developed predictive maintenance software for Müller UK & Ireland Ltd, utilizing HPC for data collection, management, and transfer. The software, which connects to Moody Direct's mobile engineers, aids decision-making and facilitates near-real-time analysis.
Business impact
Moody Direct can now oversee machines, improve service-based business models, schedule engineers, and control spare parts via the new platform. This results in lower energy consumption and food waste. The University of Portsmouth gains knowledge in big data analytics and parallel processing.