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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    The Pathway to an Interconnected Smart Factory for Medi...
    MachineMetrics / August 26, 2020
    OEMs producing the equipment that the medical device engineering community rely on generally make use of legacy systems that have functioned for decades. Statistics show that approximately 30 to 40%...

    How Medical Device OEMs Can Implement Industry 4.0 Busi...
    MachineMetrics / August 26, 2020
    Key Takeaways: Industry 4.0 technologies are transforming medical device manufacturing with automation and precision. Smart manufacturing enables real-time monitoring and predictive maintenance....

    The Top 4 Challenges for Medical Device OEMs
    MachineMetrics / August 26, 2020
    Key Takeaways: Medical device OEMs face strict regulatory requirements and quality control challenges. IIoT solutions improve efficiency and ensure compliance with industry standards. Data-driven...
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