MachineMetrics Blog

The Challenge of Tracking Manual Processes in Manufacturing

The Hidden Half of Manufacturing Despite massive investments in automation, the majority of manufacturing work is still performed by people. In fact, studies show that 72% of factory tasks are
MachineMetrics / Sep 29, 2025

MachineMetrics and WM Synergy Partner to Deliver...

EASTHAMPTON, MA – September 19, 2025 – Manufacturing has always been defined by its ability to plan and challenged by its ability to execute. ERP systems outline the ideal production path: what to
press release / Sep 19, 2025

What is Production Intelligence? Closing the Execution Gap...

Most manufacturers don’t have a data problem. They have a decision problem. In fact, most manufacturers are drowning in data - machines stream data 24/7. Dashboards display utilization, OEE, and
MachineMetrics / Sep 02, 2025

MachineMetrics and Cre8tive Technology and Design Announce...

Northampton, MA – August 27, 2025 – MachineMetrics, the pioneer in intelligent, real-time MES for discrete manufacturing, is proud to announce a strategic partnership with Cre8tive Technology and
press release / Aug 27, 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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