Forum Discussion
Calculating yield for production data
Hi all,
I'm trying to calculate % yield for some test rig data. Each product, identified by a unique serial number goes through the test and gets a pass of fail result. What I want to do is use the latest test date for each serial number (as each serial number may have gone through multiple tests) and count the amount of pass results. I then plan to divide this number of records by the total number of unique serial numbers in order to get my % yield figure.
Here is a sample of the data:
| VIDATE | VITIME | SERIAL_NUMBER | TEST_OUTCOME |
| 17/07/18 | 15:27:38 | 670W16 | PASS |
| 17/07/18 | 15:38:29 | 670W16 | FAIL |
| 17/07/18 | 15:40:20 | 670W16 | PASS |
| 17/07/18 | 15:41:34 | 670W16 | PASS |
| 14/09/17 | 11:56:07 | 5087W3 | PASS |
| 21/09/17 | 9:23:53 | 5062H6 | PASS |
| 14/09/17 | 11:54:07 | 5057H8 | PASS |
| 05/07/17 | 7:59:39 | 357R35 | FAIL |
| 11/07/17 | 12:31:16 | 357R35 | FAIL |
| 02/03/17 | 10:24:00 | 357R35 | PASS |
5 Replies
- AnonymousNot applicable
I need to do the exact same, but summarize it in a graph showing Yield by Month.
- AnonymousNot applicable
First calculate total count.
Total_count=calculate(Count(table[serial_number]),Allexcept(table,serial_number))
It will return total count for each serial number.
Then check how many serial number have pass status.
Total_count_Pass=calculate(Count(table[serial_number]),Allexcept(table,serial_number)),filter(table,table[testoutcome]="Pass").
Pass percentage=Divide(Total_count,Total_count_Pass,0)
Thanks & regards,
Pravin Wattamwar
www.linkedin.com/in/pravin-p-wattamwar
If I resolve your problem Mark it as a solution and give kudos.- AnonymousNot applicable
Hi Anonymous ,
Thank you for your help! However this is returning a result of 100% and I'm expecting it to be just under that. How do I bring in the date/time element? I need to count the Pass results only for the serial numbers that have passed on the latest test.
Hope that makes sense.
Many thanks
- AnonymousNot applicableYour requirements are not clear. Please give us an example of your calculations on an example table. I've tried several different scenarios and the yield always brings figures that are no less than 100%. You have to clearly explain what you want.
Best
D