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AVEVA™ Manufacturing Execution System 2023 R2

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.

A flow diagram showing how entities are arranged for the example demonstrating how OEE calculations are performed for line monitoring.

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).

A time chart shows the OEE use durations for the utilization events that are pertinent to the example OEE calculations.

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) +
(Filler2 Runtime 7 am–9 am) + (Packer Runtime 9 am–10 am) +
(Sleever1 Runtime 10 am–12 pm)) /
((Runtime Total + (Filler2 Downtime 8 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 /
((Packer Expected Production 6 am–7 am) +
(Filler1 Expected Production 7 am–9 am) +
(Filler2 Expected Production 7 am–9 am) +
(Packer Expected Production 9 am–10 am) +
(Sleever1 Expected Production 10 am–12 pm))

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) +
(3 x 3,600 x 1) + (2 x 5,400 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%)

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