A software suite that unlocks full packaging line performance

Date: 01.02.2022Source: Sidel

Leading global provider of packaging solutions Sidel is helping to transform packaging line efficiency with a new digital platform that connects real time data to all relevant users, from shop floor to top management. Evo-ON is a smart cloud-based solution, with apps tailored to the packaging industry, that helps to oversee and optimise any aspect of the line. Sidel Evo-ON enables a cheaper, faster and more sustainable production process.

Packaging line digitalisation is now a reality for key players in the industry. Digital solutions enable greater agility, opening the doors to superior performance, faster time to market, lower operating costs and enhanced sustainability. Sidel is leveraging its strong Original Equipment Manufacturer expertise and 25 years of experience in data analysis to add more simplicity to line monitoring by putting actionable data at fingertips. To transform raw data into successful decisions, Sidel is introducing the Evo-ON app suite, a flexible, custom solution that can unlock the potential of the line and identify the best way forward.

Said Gabriele Gatti, Digital Product Manager and Business Development Director, Sidel: “Thanks to our vast Original Equipment Manufacturer (OEM) expertise and over 25-years of experience in machine data analysis, we are able to offer deeper line knowledge, leveraging the cloud computing power for extended data analytics through statistics, machine learning and AI. Evo-ON is enabling our customers to reach new heights”

Evo-ON is founded on key cybersecurity best practices with industry-recognised standards, ensuring that the data and equipment are protected.

Optimising the way maintenance is conducted can lead to greater uptime and cost-effectiveness. Therefore, finding the right balance between preventive and predictive maintenance is key. Evo-ON Care makes it possible to move beyond preventive maintenance, leveraging built-in predictive capabilities to anticipate the maintenance of specific parts at the most appropriate time. To maximise the efficiency of predictive maintenance, the main components of focus are those which require more time to be replaced, represent higher downtime risks and can impact finished product quality.

Concluded Gatti: “Through the interpretation and conceptualisation of actionable data by our data experts, the value of maintenance can be enhanced by preventing breakdowns on one side and on the other avoiding unnecessary maintenance. This can increase part lifetime up to 30% and OEE up to 3%.

“The performance of any production facility tends to decrease over time; therefore, to address and solve issues quickly, real-time access to production data is a must. But the real challenge is not just adopting a reliable system, but also selecting the one that will help detect sources of efficiency loss, set priorities, and validate results rapidly.”  For more visit sidel.com

David Cox / IDM

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