
Line Interpreter charts
Charts
Line Interpreter comes with a rich set of customisable charts for displaying plant data. Here are some of the charts available and how they can be used.
Worm Chart

The worm chart is designed to give a quick overview of the current shifts production. On the X axis is the shift time the amount of products produced (or volume/weight/etc...). The chart features a line showing the target rate for the given line/product combination.
This chart is useful because it's easy to see how far behind or ahead of target the shift is, as well as the ability to easily see periods of downtime (flat sections of the line).
OEE Gauge

The OEE gauge is a simple chart that shows the OEE of a line as well as the availability, performance and quality. This chart is useful to see how performance is tracking at a glance and can be used in a multi-line dashboard to quickly understand the performance of an entire plant or group of plants.
Downtime Table

The downtime table lists downtime events and can be configured to display the downtime start time, duration, cause, location and more. Downtime tables can be used in multiple ways. Downtime can be aggregated by category, cause or location, which makes it a useful tool to dive into particular plant areas or types of downtime.
The downtime table can also show individual downtime events per row, which can be useful to quickly see the most recent downtime events, or the longest downtime events during a shift.
Pareto Chart

The pareto chart consists of two parts. The first is a bar chart showing downtime categorised by location, cause category or cause. The bars are ordered by duration. The second component is a cumulative sum of the bars, expressed as a percentage.
The benefit of using a pareto chart for analysing downtime is that you can very quickly see what percentage of downtime comes from the top categories. For example, some organisations like to target the top 50% of downtime causes, when plotted on a pareto it's easy to see the causes that make up that 50% of downtime.