Start driving decisions with machine data.
Categories:
    Timeline Downtime
     
    We’re excited to announce a new feature: Downtime Category Behavior. Our last blog post focused on MachineMetrics ability to identify and reduce your downtime. In the past, when you added a downtime reason (such as Preventative Maintenance, or Tool Changeover), you would then need to indicate whether or not the downtime was planned or unplanned. Thanks to our latest feature update, you can now categorize with more precision.
     
    Downtime Category Behavior:
     
    Downtime Category Behavior allows you to preset planned or unplanned downtime for any downtime category. For example, a “Machine Problem” is never going to be categorized as "planned downtime". By editing that behavior, you can have any “Machine Problem” automatically set to be categorized as unplanned.
     
    “Mark as Planned with Limit” is a key component of this new feature. It allows you to set a time limit for any planned downtime activity. Downtime periods that exceeds this planned limit will mark the addional time as unplanned.
     
    Step 5 png
     
    Here's why this is important: say for example, you know the preventative maintenance you perform on your machine’s routinely takes 30 minutes. You set the Planned Limit of the Preventative Maintenance downtime category accordingly. However, the next day you discover that your preventative maintenance has actually taken far longer than you thought. Because you set the Planned Limit, you are now able to see exactly which parts of your downtime are planned, and which are unplanned. Without it, you might never have noticed in the first place.
     
    With the Downtime Category Behavior you are able to capture and categorize that unplanned downtime so you can set more accurate goals and delve deeper into the root causes of your downtime. More visibility empowers you to make the most of your machines.
     
    Here's a link to the knowledge base article where you can learn how to use this new feature!

    Comments

    Leave a comment

    Subscribe to our mailing list

    Related posts

    Data Driven Manufacturing: Benefits, Challenges, and Strategies

    Data Driven Manufacturing: Benefits, Challenges, and Strategies

    Optimizing Production Efficiency through Data-Driven Manufacturing Strategies Although diverse data capturing technologies exist, manufacturers still struggle to use them. It's due to this major chall...

    MachineMetrics
    MES vs. IIoT Platform: Why Not Both?

    MES vs. IIoT Platform: Why Not Both?

    Is an MES or IIoT Platform (or Both) the Best Option for You? The increasing use of industrial automation in process and discrete manufacturing facilities have put the manufacturing execution system (...

    MachineMetrics
    A Manufacturer's Guide to Edge Computing

    A Manufacturer's Guide to Edge Computing

    Below is what we will cover in this in-depth article on edge computing in manufacturing. Select a link if you would like to jump to a particular section:

    MachineMetrics
    A Long-Term Strategy for Manufacturers Adopting Industry 4.0

    A Long-Term Strategy for Manufacturers Adopting Industry 4.0

    It’s not uncommon for a factory to operate several generations of the same type of production equipment within a single factory. Except for extremely large companies with very deep pockets, most compa...

    MachineMetrics
    MachineMetrics, World Economic Forum Join Forces to Support Sustainable Future for Manufacturing

    MachineMetrics, World Economic Forum Join Forces to Support Sustainable Future for Manufacturing

    Boston, MA -- MachineMetrics, a leading data and digital app platform for manufacturing, today announced that it has joined the World Economic Forum’s Global Innovators Community, a group of the world...

    MachineMetrics
    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