MachineMetrics Blog

Make Gains Stick with the Continuous Improvement Tracker

You ran the kaizen event. You saw the improvement. But two months later… is anything actually different? It’s a challenge every CI leader faces. Gains made during Lean or Six Sigma initiatives often
MachineMetrics / Jun 05, 2025

Closing the Gap Between Scheduling and Execution with the...

Manufacturing schedules look great on paper—until they meet the real world. Every day, jobs run late. Machines sit idle. Priorities shift. And despite everyone’s best efforts, it’s hard to answer one
MachineMetrics / May 28, 2025

Real-Time Job Tracking Delivers Clarity to the Chaos of the...

Even the most capable ERP system can only tell you what was planned. It can’t tell you what’s actually happening on the floor, right now. For most discrete manufacturers, job tracking still relies on
MachineMetrics / May 21, 2025

Tariffs & the Factory: What Plant Leaders Can Do to Fight...

Executive Snapshot Tariff policy has shifted sharply in the past 18 months, squeezing margins for U.S. discrete-manufacturing plants. Metal duties remain in force, a new 25% levy on imported vehicles
MachineMetrics / May 01, 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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