Example: Line monitoring and OEE calculations
- Last UpdatedNov 01, 2024
- 4 minute read
This example demonstrates how the OEE calculations for line monitoring are performed.
Line structure
The entities in the example line are shown in the following diagram.

Entity properties
In the example line, the production entity is the Packer.
The values for the production-related properties are listed in the following table.
|
Entity |
Default Production Rate |
Production UOM |
Batch Size |
|---|---|---|---|
|
Grinder |
3.5 |
batches/sec |
1 |
|
Filler1 |
1.1 |
batches/sec |
1 |
|
Filler2 |
1.1 |
batches/sec |
1 |
|
Filler3 |
1.1 |
batches/sec |
1 |
|
Sleever1 |
2 |
batches/sec |
1 |
|
Sleever2 |
2 |
batches/sec |
1 |
|
Packer |
3 |
batches/sec |
1 |
In this example, the UOMs of the default items configured for the entities in this line are exactly the same as the UOM of the standard item configured for the line. Therefore, no conversion factors are used in the examples to convert the units.
OEE user and bottlenecks
The following time chart shows the OEE Use durations for the utilization events that are pertinent to the OEE calculations. It also shows which entities were bottlenecks and for what time periods (for example, the Packer was the bottleneck entity from 6 to 7 am).

Note the following about the chart:
-
Bottleneck time periods that are pertinent to OEE calculations are shown in dark gray with the label "Bottleneck."
-
Bottleneck time periods that are not pertinent to OEE calculations are shown in lighter gray with the label "BN-Not in OEE." For example, Filler1 was considered as a bottleneck entity from 7 to 8 am. However, it had an OEE Use designation of Neither (that is, not in Runtime or Downtime), so it was not included in OEE calculations during this time period.
-
Filler3 is not considered as a bottleneck entity when the other two Filler entities are because it is configured to not be enabled during Downtime. The same is true for Sleever2.
Production data
The following table shows the Good and Rejected production for each entity, by the hour.
|
Entity |
Production Type |
6-7 am |
7-8 am |
8-9 am |
9-10 am |
10-11 am |
11-12 pm |
|---|---|---|---|---|---|---|---|
|
Grinder |
Good |
11,500 |
4,100 |
4,100 |
10,500 |
8,000 |
7,100 |
|
Reject |
0 |
25 |
50 |
0 |
100 |
0 |
|
|
Filler1 |
Good |
3,750 |
0 |
3,960 |
3,950 |
0 |
2,400 |
|
Reject |
0 |
0 |
40 |
0 |
0 |
0 |
|
|
Filler2 |
Good |
3,750 |
3,980 |
0 |
3,750 |
3,900 |
2,400 |
|
Reject |
0 |
20 |
0 |
0 |
60 |
0 |
|
|
Filler3 |
Good |
3,700 |
0 |
0 |
3,200 |
3,900 |
2,400 |
|
Reject |
0 |
0 |
0 |
0 |
60 |
0 |
|
|
Sleever1 |
Good |
5,500 |
1,920 |
2,000 |
5,450 |
7,200 |
7,200 |
|
Reject |
0 |
40 |
20 |
0 |
40 |
0 |
|
|
Sleever2 |
Good |
5,500 |
1,920 |
2,000 |
5,450 |
0 |
0 |
|
Reject |
0 |
40 |
20 |
0 |
0 |
0 |
|
|
Packer |
Good |
10,800 |
4,000 |
3,900 |
10,800 |
7,350 |
7,200 |
|
Reject |
0 |
10 |
50 |
0 |
20 |
0 |
OEE calculations
The OEE metrics for the time period from 6 am to 12 pm are calculated as follows.
|
Line Availability |
||
|---|---|---|
|
Line Availability |
= |
Bottleneck Entities Runtime / (Bottleneck Entities Runtime + Bottleneck Entities Downtime) |
|
= |
((Packer Runtime 6 am–7 am) + (Filler1 Runtime 7 am–9 am) + |
|
|
= |
(3,600 + 3,600 + 3,600 + 3,600 + 5,400) / (19,800 + 3,600) |
|
|
= |
19,800 / 23,400 |
|
|
= |
0.84615 (84.62%) |
|
Quality |
||
|---|---|---|
|
Quality |
= |
Packer Good Production / ( Packer Good Production + Rejected Production at All Entities) |
|
= |
44,050 / (44,050 + 595) |
|
|
= |
0.98667 (98.67%) |
|
Performance |
||
|---|---|---|
|
Performance |
= |
Actual Production Count / Expected Production Count for Bottleneck Entities |
|
= |
Actual Production Count / |
Calculating the expected production count for each entity when it was a bottleneck entity by using the following equation:
|
Entity Expected Performance |
= |
Entity Production Rate x Runtime Duration (in seconds) x Entity Default Batch Size |
Yields the following:
|
Performance |
= |
44,645 / ((3 x 3,600 x 1) + (1.1 x 3,600 x 1) + (1.1 x 3,600 x 1) + |
|
= |
44,645 / 40,320 |
|
|
= |
1.10727 (110.73%) |
|
OEE |
||
|---|---|---|
|
OEE |
= |
Availability x Quality x Performance |
|
= |
0.84615 x 0.98667 x 1.1073 |
|
|
= |
0.9244 (92.44%) |