Pulse Documentation - How to

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Machine states

You will find everything regarding the Machine States module in this chapter.

Machine States page

The first page you'll meet, the Machine States page.

Descriptions:

1. Show/hide: Show/hide ERP order details.

2. Machines/Machine Groups: Select specific resources or groups you'd like to display.

3. Grouped/Flat: Select if you'd like to display resources based on groups or not.

4. All/With order/Without order: Display resources according to the selected filter.

5. Machine states overview: Widget displaying the count of all current states registered in the shop.

6. Downtime overview: Two widgets displaying the top planned/unplanned downtime reasons.

Machine Insights

Pressing the triple-dot button in the top-right corner in one of the resources will enable a button called Machine insights.

This button opens an overview of the selected resource.

Descriptions:

1. Current state: Shows the current machine state.

2. Utilization percentage groups: A group of calculated utilization percentages.

3. ERP data: Shows information about the current active workorder from the ERP system.

4. Power on utilization graph: Displays the average utilization based on the filters in the banner of the widget.

5. Power consumption: Displays the average power consumption of the selected asset.

6. Today's machine state distribution: A quick overview of the machine state durations from the current day.

7. Machine states timeline: A timeline showing every machine state event happening during the selected time-range.

8. Faults/Warnings: Shortcut widgets to quickly take you to the Alarm list option in Alarms for the selected resource.

Machine States Timeline

The Machine States Timeline widget mentioned above could use a bit more guidance on how to use it. Notice how you're also able to report a downtime reason through this widget.

The GIF below demonstrates it.

Downtime reasons

Downtime refers to any period when a resource is unavailable or not operational, impacting productivity.
To track and analyze these interruptions, users can report downtime reasons in two ways, both shown in this chapter.

Additionally, we provide a dedicated Downtime report for deeper insights into all reported downtime reasons within the selected time range.

Downtime reasons can be configured in the Admin settings of Ignos.io. This option is only available to Admins and can be accessed from the bottom-left corner if you have the Admin role.

Report through the Machine State Timeline

Report through the Downtime Reason widget in Workspace

The Downtime Reason widget in Workspace allows the user to very easily report through a live-feed of machine states shown in the widget. States shown are always the last 3 recorded states and will be updated as new states are recorded.

More info about this widget can be found in its own chapter.

How to report a state:

Downtime Report

The Downtime Report gives deeper insights into the duration of all reported downtime reasons. You're also able to Export CSV from this page from the bottom of the right-margin.

In the mentioned margin found on most pages in the Pulse app you will also have the Top planned and Top unplanned downtime reasons displayed:

Downtime Reasons settings

Downtime reasons can be configured in the Admin settings of Ignos.io. This option is only available to Admins and can be accessed from the bottom-left corner if you have the Admin role.

Descriptions:

1. Downtime topics: Add topics as needed (see point 6).

2. Machine type: Link Downtime topics to a resource type (types are managed when the resource is added into the ignos.io platform).

3. Description: Provide additional context for the defined topic. This will appear as a tooltip when hovering over the topic while reporting:

   

4. Planned/Unplanned: Specify whether the topic should be categorized as Planned or Unplanned.

5. Delete topic: Press the x icon inside the box to delete a topic.

6. Add more topics: Click the plus-button to add more topics.

Utilization Insights

You will find everything regarding the Utilization Insights module in this chapter.

Utilization Insights page

The Utilization Insights page offers an overview over the factory's utilization numbers.
Here you'll be able to see how the factory performs as a whole, by group or by asset and identify trends over time.

Descriptions:

1. Power-on or 24/7: Displays the data in Power-on or 24/7 utilization format.

2. Time range: Filter to show the data for the selected timespan.

3. Grouped/Flat: Select if you'd like to display resources based on groups or not.

4. Selection box: Displays the available groups or resources for viewing.

Utilization calculation methods

We currently provide four methods for displaying utilization data, with a fifth option under development and coming soon.
Below, these methods are explained in detail.

Power-on utilization

Explanation

Power-on utilization represents the percentage of time the machine was actively utilized during the hours it was powered on.

Formula

$\text{Power-On Utilization (\%)} = \left(\frac{\text{Uptime while powered on}}{\text{Total time powered on}}\right) \times 100$

Example calculation

$\text{Power-On Utilization} = \left(\frac{\text{3 hours uptime}}{\text{8 hours powered on}}\right) \times 100 = \text{37.5 \%}$

This metric reflects how efficiently the machine is used while operational, and does not account for periods when the machine was turned off or its overall capacity.

Example:
"Sample CNC Machine" has been operational for 8 hours a day between January and May. During this period, the Power-on utilization numbers are very good.

Here’s a figure illustrating the Power-on utilization:

However, when the same data is analyzed in a 24/7 context, the utilization numbers change significantly:

The following section provides more details about 24/7 utilization.

24/7 utilization

Explanation

24/7 utilization represents the percentage of time the machine was utilized relative to the full 24 hours in a day, 7 days a week.

Formula

$\text{24/7 Utilization (\%)} = \left(\frac{\text{Uptime}}{\text{24 Hours}}\right) \times 100$

Example calculation

$\text{24/7 Utilization} = \left(\frac{\text{3 hours uptime}}{\text{24 hours}}\right) \times 100 = \text{12.5 \%}$

This metric considers the entire day, including periods when the machine was powered off, providing a broader view of its overall usage. For example, as shown in the figure above, the 24/7 utilization numbers for Sample CNC Machine are lower, because the machine was only operational for 8 out of 24 hours each day.

Active-order utilization

This method is currently under development and will be available soon.

Explanation

Active-order utilization represents the percentage of time the machine was actively utilized while someone was clocked into an order in the ERP system.

Formula

$\text{Power-On Utilization (\%)} = \left(\frac{\text{Uptime while clocked in}}{\text{Time clocked into ERP}}\right) \times 100$

Example calculation

$\text{Power-On Utilization} = \left(\frac{\text{3 hours uptime}}{\text{6 hours in ERP}}\right) \times 100 = \text{50 \%}$

This metric focuses on the alignment between machine usage and active job assignments, providing a detailed view of operational efficiency linked to ERP-driven workflows. Unlike power-on utilization, which includes all powered-on time, active-order utilization specifically excludes periods when no one was clocked into an order, even if the machine was running or ready to operate.

Machine Capacity utilization (OEE)

Explanation

OEE (Overall Equipment Effectiveness) represents how effectively a machine produces during the time it was scheduled to run, according to the Machine calendars.

Formula

$\text{OEE (\%)} = \text{Availability} \times \text{Performance} \times \text{Quality}$

• Availability = Uptime ÷ Planned Production Time
• Performance = (Ideal Cycle Time × Total Pieces) ÷ Operating Time
• Quality = Good Pieces ÷ Total Pieces

Example calculation

$\text{OEE} = 75\% \times 83.3\% \times 98\% = 61.3\%$

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⚠️ Note: At the moment, Performance and Quality are not yet measured in Ignos Pulse.
For this reason, both are currently set to 100%, meaning OEE is effectively equal to Availability.
This design leaves room for future expansion of OEE to provide additional insights once performance and quality metrics are integrated.

ℹ️ Availability here is based on the machine’s Capacity settings.

This metric shows how well a machine's production met the planned capacity time, filtering out time you intentionally didn’t plan to run.

Factory Calendar utilization (OOE)

Explanation

OOE (Overall Operations Effectiveness) measures effectiveness against the entire scheduled calendar window (Factory calendar). It answers the question: “Out of all the time that was scheduled in the calendar, how much effective production did we achieve?”

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Formula

$\text{OOE (\%)} = \text{Availability} \times \text{Performance} \times \text{Quality}$

• Availability = Uptime ÷ Calendar Time
• Performance = (Ideal Cycle Time × Total Pieces) ÷ Operating Time
• Quality = Good Pieces ÷ Total Pieces

Example calculation

$\text{OOE} = 70.6\% \times 83.3\% \times 98\% = 57.6\%$

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⚠️ Note: Just like for OEE, Performance and Quality are currently not yet measured in Ignos Pulse.
Both are set to 100%, which means OOE is effectively equal to Availability (Calendar) today.
This leaves room for future expansion, where performance and quality metrics will further refine the calculation.

ℹ️ Availability here is based on the Factory Calendar settings.

This metric shows how well production utilized the entire factory calendar time, including periods you intentionally planned as downtime. As a result, OOE values are typically lower than OEE in environments with many scheduled stops.

Comparison of utilization methods

The figure below highlights how the three utilization methods - Power-on utilization, 24/7 utilization, and Active-order utilization, differ in focus and scope. Each provides unique insights into machine efficiency, from operational hours to full capacity usage and task-specific performance.

Machine Timelines

You will find everything regarding the Machine Timelines module in this chapter.

Machine Timelines page

The Machine Timelines page offers a comprehensive overview of the factory's resource timelines.
You can view timelines by individual assets or grouped resources and gain detailed insights into their states, either live, or over a selected time period.

Descriptions:

1. Time range: Filter to show the data for the selected timespan.

2. Machines box: Search, and select individual machines or groups to be displayed.

3. Grouped/Flat: Select if you'd like to display resources based on groups or not.

4. All/Active now/Stopped now: Display the filtered machines based on machine state.

5. Current machine states: Shows all the live machine states found in the list of timelines.

6. Downtime: Shows the top planned and unplanned downtime reasons found in the time range defined on point 1.

Pulse Widgets for Workspace

You will find everything Pulse-related regarding the Workspace module in this chapter.

KPI widget

The KPI widget is very much inspired by modern fitness trackers.

What it does:

This widget works very similar to a step-counter. It counts only the uptime and has a daily target-uptime, based on the capacity defined in the Ignos.io settings. The user can deep-dive back in time, and display each day in either of three formats: 1d (1 day), 7d (1 week) or 4w (1 month).

1d (1 day view)

7d (1 week view)

4w (1 month view)

Capacity settings

Capacity settings is only available for Admins and can be accessed in the bottom-left corner if you have the Admin role. Admins can set capacity either by individual days, or as a flat value. We'll explain this in more detail below the screenshot.

Descriptions:

1. Comment: Add a comment to provide context for your decision.

2. Capacity: Set hourly capacity per resource for each day, or all days at once.

3. Target: Define the target utilization percentage per resource.

4. Capacity days: Different capacities can be set for different days.

Factory Calendar settings

Factory calendar settings are only available for Admins and can be accessed in the bottom-left corner if you have the Admin role.
The factory calendar defines the baseline working hours for the entire site, including normal weekly hours, holidays, and half-days. These settings serve as the foundation for OEE calculations.

Descriptions:

1. Calendar view: Shows configured hours per day for the selected month. Special days (half days, holidays) gets highlighted.

2. Normal work-week hours: Define the standard expected hours per weekday (e.g., Mon–Fri 10h, Sat/Sun 0h).

3. Special days: Configure exceptions such as half days or holidays. These override the normal weekly hours.

4. Overrides: Apply special rules directly in the calendar view (e.g., mark a specific date as a holiday).

Downtime Reason widget

The Downtime Reason widget simplifies reporting of downtime reasons significantly.

What it does:

This widget shows the last 3 recorded machine states and will be updated as new states are recorded. This way the users very easily can select the state they want to report without having to report through the Machine State Timeline.

How to report a state:

How to use the Ignore machine state change setting:

The Ignore machine state change setting allows the user to override states recorded on the machine timeline.
A counter will show up, and you can stop it when you're ready to return to normal reporting, or just let the timer run out and resume by itself.