MachineMetrics Blog

Virtual Part Counter: Reliable Data Even When Your Machines...

Reliable part counts are the backbone of good decision-making on the shop floor. Yet for many manufacturers, getting that number right is anything but easy. Some machines have unreliable or
MachineMetrics / Jul 16, 2025

Enterprise Widgets Deliver Real-Time Visibility Across...

For manufacturers operating multiple plants, getting real-time, apples-to-apples visibility is a major challenge. Each site often runs different systems, measures performance with different KPIs, or
MachineMetrics / Jul 02, 2025

MachineMetrics App Framework: Custom Insights without the...

Legacy MES systems and basic monitoring tools are often rigid and slow to adapt. While they claim to offer broad functionality, they’re rarely configured to reflect the nuances of your operations -
MachineMetrics / Jun 25, 2025

Real-Time Visibility with the Production Order Dashboard

There’s no shortage of data on the modern shop floor. The problem is getting the right information to the right people - with the right context to make a difference. Supervisors walk the floor to
MachineMetrics / Jun 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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