MachineMetrics Blog

How a Global Automotive Supplier Prevents Tool Failures and...

Customer Profile Industry: Automotive Operations: High-volume precision machining for major automotive OEMs Products: Complex machined components used in steering, driveline, and suspension systems
MachineMetrics / Mar 10, 2025

MachineMetrics Unveils Revolutionary AI-Driven Tool...

MachineMetrics, the global leader in production intelligence for discrete manufacturers, is excited to announce the launch of its groundbreaking predictive tool monitoring solution. With
MachineMetrics / Mar 04, 2025

MachineMetrics Announces AWS GovCloud Availability to...

We're excited to announce that MachineMetrics is now available in AWS GovCloud (US), providing manufacturers working with government contracts and defense suppliers a secure, compliant solution for
MachineMetrics / Feb 19, 2025

What is Work in Progress (WIP) in Manufacturing? A Complete...

Work in progress (WIP) in manufacturing refers to partially finished products at various stages of production, and it’s a key concept in efficiency. Taking the right approach to managing WIP in
MachineMetrics / Feb 19, 2025
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    Experiments in Optimizing Tool Life with Amperage Data ...
    Data Science / December 21, 2018
    Key Takeaways: Amperage data provides valuable insights into optimizing tool life in manufacturing. Monitoring energy consumption can help extend tool usage and reduce costs. Experiments show that...

    Detecting CNC Anomalies with Unsupervised Learning (Par...
    Data Science / October 10, 2018
    Key Takeaways: Unsupervised learning techniques can identify anomalies in CNC machine performance. Detecting anomalies early helps reduce downtime and improve operational efficiency. MachineMetrics'...

    Detecting CNC Anomalies with Unsupervised Learning (Par...
    manufacturing / October 10, 2018
    In parts 1 and 2, we discussed the business problem and preprocessing involved with detecting anomalous behavior on machines. In this post, we’ll cover some creative data wrangling and clustering...

    Detecting CNC Anomalies with Unsupervised Learning (Par...
    Data Science / October 05, 2018
    In the last post of this series, we went over why it was important to try and detect anomalous behavior on machines. In this post, we’ll dive right into how we preprocessed and cleaned the data. We...

    Detecting CNC Anomalies with Unsupervised Learning (Par...
    Data Science / October 05, 2018
    In the world of Computer Numerically Controlled (CNC) machining, many operators struggle to keep their machines on schedule and running efficiently. Unanticipated events can plague machine...
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