Template · Industrial engineering

First-pass yield and rework tracker

Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield.

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	A	B	C	D	E	F	G	H	I
1	First-pass yield and rework tracker
2	Example data — replace the blue input cells with your own.
3	Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield.
4	Populated records	6	Prepared capacity used	10.0%
5	Total final good units	3,183	Peak: Total station yield	99.5%
6			Average: Total station yield	98.8%
7			Active rows bar	██
8
9	60 record rows (6 sample rows shown). Blue cells are inputs; dark cells calculate.
10	Workstation	Units started	Passed first test	Reworked and passed	First-pass yield	Final good units	Scrap units	Total station yield	Scale bar
11	Station 10 / assembly	500	460	30	92.0%	490	10	98.0%	████████████
12	Station 20 / soldering	490	465	20	94.9%	485	5	99.0%	████████████
13	Station 30 / final test	485	470	12	96.9%	482	3	99.4%	████████████
14	Station 10 / assembly (4)	750	690	45	92.0%	735	15	98.0%	████████████
15	Station 20 / soldering (5)	392	372	16	94.9%	388	4	99.0%	████████████
16	Station 30 / final test (6)	606	588	15	97.0%	603	3	99.5%	████████████

Showing the first 16 of 72 rows and 9 of 9 columns. Cells with formulas show the formula on hover.

	A
1	First-pass yield and rework tracker
2	Method, inputs, and limits for this workbook.
3
4	What it does
5	Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield.
6
7	How to use it
8	Replace the fictional records in blue cells with your own data. Keep the dark formula cells. Use the units stated in the column headers and keep each record on one row. Read the calculated columns and inspect the results before using them.…
9
10	Formulas and method
11	First-pass yield divides units passing first test by units started. Final good units adds reworked passes to first-time passes, scrap subtracts final good units from started units, and station yield divides good units by started units.
12
13	Assumptions and limits
14	Each row evaluates one station independently. To calculate rolled throughput yield across sequential stations, multiply the individual first-pass yields.
15
16	Missing numeric inputs

Showing the first 16 of 72 rows and 4 of 4 columns. Cells with formulas show the formula on hover.

What does this template do?

Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield.

First-pass yield divides units passing first test by units started. Final good units adds reworked passes to first-time passes, scrap subtracts final good units from started units, and station yield divides good units by started units.

Each row evaluates one station independently. To calculate rolled throughput yield across sequential stations, multiply the individual first-pass yields.

The working tab keeps editable inputs separate from formulas, with 6 populated sample rows, summary KPIs, an in-cell scale bar, and room for 60 records. The Notes tab explains the method and how to extend the range. All example records are fictional and can be replaced. Download a workbook format to retain formulas, or CSV when you need calculated values only.

What’s inside

First-pass yield divides units passing first test by units started. Final good units adds reworked passes to first-time passes, scrap subtracts final good units from started units, and station yield divides good units by started units.
60 prepared record rows with blank-row guards and in-cell scale bars
Summary KPI block with peak, average, and capacity tracking
Blue input cells, typed dates and numbers, and frozen column headers
Notes with the method, assumptions, and range-extension instructions

Which tabs does the workbook have?

Tab	What it holds
Worksheet	Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield.
Notes	How to use the workbook, formula method, assumptions, and file format limits.

What formulas does this template use?

This template holds 306 formulas in 367 cells across 2 tabs, so 83% of its cells calculate. They use 13 distinct functions; the longest formula is 134 characters.

Function	Uses	What it does
`IF`	724	one result when a test is true, another when false
`COUNT`	242	counts numeric cells
`MAX`	182	largest value
`OR`	120	true when any test is true
`MIN`	61	smallest value
`REPT`	61	repeats text
`ROUND`	61	rounds to a number of digits
`ISNUMBER`	60	true for a number
`NOT`	60	reverses true and false
`COUNTA`	4	counts non-empty cells
`COUNTIF`	2	counts cells meeting one condition
`AVERAGE`	1	mean of numbers

The 12 most used of 13 functions. Counted from the workbook itself. Only functions that Excel, LibreOffice Calc, Google Sheets and Apple Numbers evaluate the same way are used, so the formulas survive every download format.

How do you use it?

Replace the fictional records in blue cells with your own data. Keep the dark formula cells.
Use the units stated in the column headers and keep each record on one row.
Read the calculated columns and inspect the results before using them. Clear unused input rows; keep their formulas.
The prepared range holds 60 records in rows 11–70. Extend formulas and summary ranges together if you add more rows.

What is it good for?

Compare units passing initial inspection with reworked units and scrap to calculate first-pass yield and total station yield
Replacing the labeled fictional records with your own figures
Checking a calculation before adapting it to a larger workbook

Questions about this sheet

How is the result calculated?

What assumptions should I check?

Each row evaluates one station independently. To calculate rolled throughput yield across sequential stations, multiply the individual first-pass yields.

Can I add more than 60 records?

Yes. Copy the formula columns into new rows and extend every summary range to include them. Keep inputs and formulas in their original columns.

Are the example records real?

No. All example data is fictional and intended to demonstrate the formulas. Replace it before using the workbook for your own work.