MachineMetrics Blog

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

Flexible Reporting for Modern Manufacturers: Custom...

Manufacturing leaders don’t just need data - they need the right data, delivered in the right way, at the right time. Operators want clarity on performance targets. Engineers need visibility into
MachineMetrics / Aug 20, 2025

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
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    The Importance of Data Standardization in Manufacturing
    data collection / March 24, 2022
    The power of data brought to life by the rise of the Industrial Internet of Things (IIoT) and the Fourth Industrial Revolution (Industry 4.0) technologies is undisputed. For manufacturing, it’s no...

    Fact or Fiction: Which Story is Your Data Telling You?
    data collection / January 28, 2021
    Key Takeaways: Accurate data interpretation is crucial for making informed decisions in manufacturing, but biases and assumptions can distort insights. Data-driven decision-making requires reliable...

    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...
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