Make sure that you've set up a Machine, and understand the Analytics Builder before jumping into this article.

Machines collect a lot of useful information for the production line. It is important to be able to easily visualize this data. Tulip's Analytics Builder includes pre-configured metrics such as OEE to allow you to quickly analyze machine data.

To set up a Machine Analysis, navigate to the Dashboards tab.

Click to add a new Analysis, then select the Machine option in the modal.

From the list, select the Machine you would like to analyze, and select "Create New Analysis".

Pre-Configured Analysis Options

There are a number of charts to select from that require no additional configuration to start viewing real-time machine data. There are many configured analytics, including:

One Operation

  • OEE by hour
  • Availability by hour
  • Performance by hour
  • Quality by hour
  • Machine Time per State - ¬†displays the average Duration per Machine.

Compare Variables

  • State Duration by Machine

Multiple Operations

  • Uptime Percentage by Machine

Single Number

  • OEE
  • Availability
  • Performance
  • Quality

KPI

  • Average State Duration - A single number metric for the average time spent in selected State.

Table

  • Duration by Machine and State


If you select an Analysis that needs to include data from multiple machines, make sure to select all the desired Machines from the Machine field in the top left.

Creating Custom Machine Analytics

You can optionally configure these Analytics entirely from your own expressions as well to display any other metrics you'd like, such as part counts. 

To better understand how to do this, check out more information on the Analytics Builder:

Custom Machine Analytics are similar to some of the examples above. However, these Analytics give the option to create analysis based solely on Machine Outputs, rather than app variables. 

Below will follow an example of creating an analysis for Part Count by Day.

In the Analytics Builder, select an option closest to your desired outcome. In this case, that is likely the One Operation option.

From there, the expressions loaded into the X and Y axis will need to be modified to suit the analysis. The X axis can take on any Machine Field, or any function. For example, the X axis might look like this:

The Y axis can be made dynamically as well. The Y axis can take on Aggregation Functions, Machine Fields, or standard Functions. In this example, the part count is desired for the day, so it is likely best to use the aggregate Sum of the Part Count field.

It is also possible to create comparisons by Machine Fields and Functions. In the case of having multiple machines, it is very useful to compare by Machine.

Machine Analytics can create useful dashboards with any Machine Field that collects data from your machines, regardless of which apps the machines might be used in.

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