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# 17. Multi batch, parallel output, incl. rejects

## In this example

• Shift time:                                       500 min
• Production Run A:                         100 min
•   Output 1                              45.000 Good (Set Speed 800 pcs/min)
•                                                 5000 reject
•   Output 2                               38 (Set Speed 0,6 pcs/min)
•                                                  2 reject
• Production Run B:                         10 min
•   Output 3                                4.500 (Set Speed 700 pcs/min)
•                                                   400 reject
•   Output 4                                5 (Set Speed 0,6 pcs/min)
•                                                   1 reject
• Waiting:                                            390 min

## Result

1. Availability 22% (110min/500min)
2. Performance: 45,9% (Weighted average!!)
3. Quality: 91,7% (Weighted average!!)
4. OEE = 22% x 45,9% x 91,7% = 9,3%

### Calculation of Performance

1. The quality of each product in a run is calculated:
• First run:
• 90%
• 95%
• Second run:
• 91,8%
• 83,3%
2. The average performance for each run is calculated
• First run: (90+95)/2= 92,5%
• Second run (91,8% + 83,3%)/2 = 87,55%
3. A weighted average is calculated for the different runs = 92%
• 100 minutes at 45% and
• 10 minutes at 54,5%:
• ((100/110) * 45%) + ((10/110) * 54,5%) = 45,9%

Warning: Just adding all actual outputs and dividing this by all maximum outputs does not give a correct performance!

### Calculation of Quality

1. The quality of each product in a run is calculated:

First run:

• 45000 Good/ (45000 Good + 5000 Reject) = 90%
• 38 Good/(38 + 2 Reject) = 95%

Second run:

• 4500 Good /(4500 Good + 400 Reject) = 91,8%
• 5 Good/(5 Good + 1 Reject) = 83,3%

2. The average performance for each run is calculated

• First run: (90+95)/2= 92,5%
• Second run (91,8% + 83,3%)/2 = 87,55%

3. A weighted average is calculated for the different runs:

• 100 minutes at 92,5% and
• 10 minutes at 87,585%:
• ((100/110) * 92,5%) + ((10/110) * 87,585%) = 92,05%

Warning: Also the quality rate is a weighted average! Just adding all good outputs and dividing this by all actual outputs does not give a correct quality rate!