Brand Report

Seco partners with MachineMetrics to offer manufacturing analytics

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As part of a global initiative to ensure the continued success of its customers, Seco Tools is expanding their customer service capabilities through a partnership with MachineMetrics. MachineMetrics’ manufacturing analytics engine will now provide Seco and its customers a technological resource for their advancement into Industry 4.0.

“We, at Seco, has always been committed to providing our customers with the best products and services available. Partnering with MachineMetrics will allow us to not only continue to help our customers learn about themselves but will transform our ability to help them improve their machine tool utilisation and production capacity.” said Ben Alexander, Business Manager Online Services at Seco Tools.
Seco plans to use the MachineMetrics Industrial IoT platform and its manufacturing analytics applications as a cornerstone in their expansion into new technology services. With data provided by MachineMetrics, Seco can apply their extensive experience and engineering capabilities to the continuous improvement of their customers by helping them make data driven decisions to improve their efficiency and bottom line.

“This partnership offers an exciting opportunity for both MachineMetrics and Seco Tools to demonstrate the value of data-driven manufacturing and analytics to Seco Tools users around the world,” says Bill Bither, CEO of MachineMetrics, “Together, we can uncover industry-first insights into machine tool and tooling optimisation that will enhance the availability and reliability of machines for customers.”

With the MachineMetrics Production Monitoring application, Seco will enable their global customers to gain visibility into their production using an easy to use, do-it-yourself, completely customisable manufacturing machine monitoring system. As a cloud-based platform, MachineMetrics allows manufacturers to collect, monitor and analyse data from any and all types of machines, from anywhere and with any Internet-connected device to track OEE performance, identify production bottlenecks, take action with real-time notifications, predict and prevent costly downtime events, measure process improvements, and enhance shop floor communications.

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