As part of a global initiative to ensure the continued success of its customers, Seco Tools (Fagersta, Sweden) is expanding its customer service capabilities through a partnership with MachineMetrics (Northamption, MA), a manufacturing analytics engine that will provide Seco and its customers a technological resource for advancement into Industry 4.0.
Seco plans to use the MachineMetrics Industrial IoT platform and its manufacturing analytics applications as a cornerstone in its expansion into new technology services. With data provided by MachineMetrics, Seco can apply its extensive experience and engineering capabilities to the continuous improvement of its customers by helping them make data-driven decisions to improve their efficiency and bottom line.
Leveraging Seco’s experience in tooling with MachineMetrics’ data collection capabilities will help customers of both companies gain a deeper understanding of what’s happening with their tools in real-time. These insights may include predicting tool life, preventing tool breakages, and feed and speed optimization.
“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 utilization and production capacity,” said Ben Alexander, business manager online services at Seco Tools.
With the MachineMetrics Production Monitoring application, Seco will enable its global customers to gain visibility into their production using an easy-to-use, do-it-yourself, completely customizable manufacturing machine monitoring system. As a cloud-based platform, MachineMetrics allows manufacturers to collect, monitor and analyze 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.
“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,” said Bill Bither, CEO of MachineMetrics.
The historical and real-time machine data collected by MachineMetrics allows users to gain insight into their machine tool health, identify new service needs with analytics and reporting, predict and deliver early warning of potential machine or tooling failures directly in contact with their subcontractors, highlight elevated risk areas that lead to machine downtime, or even determine to take preventative action before it impacts a customer’s machine performance. The information will also provide the necessary data for improving the quality-to-cost ratio right from the design phase.
“MachineMetrics has provided us valuable insight into our own custom products facility in Troy, MI, allowing us to reduce our lead-time while improving on-time delivery and quality,” said Rob Keenan, president of Seco Tools North America. “By analyzing data output from machine tools, we can deploy our technical experts to work closely with our customers to identify bottlenecks and other issues that lead to extended machine downtime. MachineMetrics is another tool that enables Seco to take cost out of our customer’s operation while improving their productivity.”
Despite the excitement surrounding digital manufacturing transformation, the majority of manufacturers still do not have visibility into their production. This lack of transparency leads to underutilized equipment, production inefficiencies, and communication problems that prohibit most manufacturers from optimizing their production capacity. The only way to solve these problems is by capturing data, which is the primary driver behind Seco’s partnership with MachineMetrics.
More than half of MachineMetrics customers are able to install the product themselves and start capturing data within 24 hours. Based on machine controls and types, MachineMetrics can connect to any type of machine through the control, which allows it to monitor as many as 100 machine aspects, such as temperatures and pressures of loaders, what line of code is running, the current tool in use and more.