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19. Multi batch, parallel output, extreme output

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19. Multi batch, parallel output, extreme output

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 1 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 1 pcs/min)
    •                                                      1 reject
  • Waiting:                                            390 min

Result

  1. Availability 22% (110min/500min)
  2. Performance: 45,9% (Weighted average!!)
  3. Quality: 92,1% (Weighted average!!)
  4. OEE = 22% x 45,9% x 92,1% = 9,3%

Performance Calculation

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

First run:

  • (45000 good + 5000 Reject) /100.000 max = 50%
  • (38 good + 2 reject)/100 max = 40%

Second run:

  • (4500 good + 400 reject)/10.000 max = 49%
  • (5 good + 1 reject)/10 = 60%

2. The average performance for each run is calculated

  • First run: (50+40)/2= 45%
  • Second run (49% + 60%)/2 = 54,5%

3. A weighted average is calculated for the different runs

  • 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!

Quality Calculation

  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 quality 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 87,55%:
  • ((100/110) * 92,5%) + ((10/110) * 87,55%) = 92% (91,67%)

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!