Enter the quality units produced and the total units produced into the Calculator. The calculator will evaluate the First Pass Yield.
First Pass Yield Formula
FPY = QU / TU * 100
Variables:
- FPY is the First Pass Yield (%)
- QU is the quality units produced
- TU is the total units produced
To calculate First Pass Yield, divide the number of quality units produced by the total units produced.
How to Calculate First Pass Yield?
The following steps outline how to calculate the First Pass Yield.
- First, determine the quality units produced.
- Next, determine the total units produced.
- Next, gather the formula from above = FPY = QU / TU * 100.
- Finally, calculate the First Pass Yield.
- After inserting the variables and calculating the result, check your answer with the calculator above.
Example Problem :
Use the following variables as an example problem to test your knowledge.
quality units produced = 95
total units produced = 120
FAQ
What is First Pass Yield (FPY)?
First Pass Yield (FPY) is a metric used to measure the efficiency and quality of a production process. It is calculated by dividing the number of quality units produced by the total units produced, then multiplying by 100 to get a percentage.
Why is First Pass Yield important?
First Pass Yield is important because it directly reflects the effectiveness of a manufacturing process. A high FPY indicates a process that produces a high ratio of quality products in the first pass, reducing waste and improving production efficiency.
How can one improve First Pass Yield?
Improving First Pass Yield can be achieved by identifying and eliminating sources of defects in the production process, implementing quality control measures, and continuous monitoring and adjusting the process to maintain high-quality standards.
Can First Pass Yield be used for all types of production?
Yes, First Pass Yield is a versatile metric that can be applied to various types of production processes, whether it’s manufacturing, software development, or any process that produces a definable output. It helps in assessing the process efficiency across different industries.
