Start driving decisions with machine data.
Categories:

    Gary Bruner, the president of Carolina Precision Manufacturing, a contract manufacturer that specializes in small-diameter, close-tolerance CNC Swiss turned parts, had a problem.

    Over breakfast that morning, Gary had logged onto the MachineMetrics monitoring system on his laptop at home to check the status of his machines assigned to a lights-out operation, but saw immediately that two of his machines were not in production. “What’s wrong with machines 35 and 36?” he thought to himself.

    Screen Shot 2017-03-06 at 2.59.51 PM.png

    Upon arrival to the shop, Gary learned from his operator on duty that this type of hold up was nothing out of the ordinary, and was in fact a product of inef cient start- up procedures that had simply never been analyzed or augmented previously.

    In an industry with razor thin margins, Gary understood that the keys to growth and success were in ef ciency and quality. He understood the importance of keeping tabs on production stats, job status, uptime, and setup. However, there was no way to know how well machines were doing in real time. What was causing this additional downtime?

    Want to know more? Click the image below to download the full case study and find out how Gary used MachineMetrics to solve this issue:

    Screen Shot 2017-03-23 at 3.04.11 PM.png

    Download the Case Study Now!

    Comments

    Leave a comment

    Subscribe to our mailing list

    Related posts

    The Downside to Do-It-Yourself IoT

    The Downside to Do-It-Yourself IoT

    The digital transformation of industrial production enterprises relies on the internet of things (IoT) for connectivity, visibility, and deeper insight into performance. And although the success of In...

    MachineMetrics
    5 Steps to Bring Your Legacy Systems Online with IIoT

    5 Steps to Bring Your Legacy Systems Online with IIoT

    The move to industry 4.0 will be defined by how effectively legacy systems and assets within shop floors are integrated into online or cloud platforms. This is because a large percentage of enterprise...

    MachineMetrics
    Finding the Payback for Smart Manufacturing

    Finding the Payback for Smart Manufacturing

    Industry 4.0 is defined by smart manufacturing processes such as data-driven plant optimization, industrial automation, and predictive maintenance. Since these processes rely on shop floor data, confi...

    MachineMetrics
    Industrial IoT Security: Challenges and Solutions

    Industrial IoT Security: Challenges and Solutions

    With 2020 firmly underway, the exponential growth of Industrial IoT is on track with recent predictions.  And as we head toward a world with over 75 billion connected devices by 2025, almost a third w...

    MachineMetrics
    What is Equipment-as-a-Service? The Benefits of EaaS

    What is Equipment-as-a-Service? The Benefits of EaaS

    Paradigm shifts define the world as we know it. One example is IT services and how they were managed in the earlier days of the digital transformation. Two decades ago, enterprises who intended to use...

    MachineMetrics
    Actionability: You Have the Data, What Now?

    Actionability: You Have the Data, What Now?

    Machine monitoring surfaces data to you. Do you know what to do with it?   

    MachineMetrics
    The Inaugural MachineMetrics 8-Track 🎶

    The Inaugural MachineMetrics 8-Track 🎶

    In a recent article from the MachineMetrics Tech Blog, the data science team likened high-frequency data to being able to hear the complete symphony of notes from the machines. The metaphor wasn’t far...

    MachineMetrics
    People and Machines: The Perfect Combination for Industry 4.0 Success

    People and Machines: The Perfect Combination for Industry 4.0 Success

    Someone recently asked this question of us: “Will this pandemic bring the future sooner?”. 

    MachineMetrics
    Edge Computing vs. Cloud Computing in Manufacturing

    Edge Computing vs. Cloud Computing in Manufacturing

    We get a lot of questions from manufacturers around the difference between the edge and the cloud. Edge and cloud computing are often misunderstood to be mutually exclusive but, while they may functio...

    MachineMetrics