What is First Pass Yield – And How Can It Improve Manufacturing Output Quality and Productivity?

Manufacturers - Did you know that First Pass Yield can help improve your output quality and productivity? By understanding the concept and implementing the right tools, you can ensure that you get the best results. This article will help you discover how to make the most of manufacturing processes.
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Published on:
13 December 2022
Updated on:
14 February 2024

Manufacturing is a highly complex industry, requiring the right combination of technology, processes, and equipment for success. One wrong move can lead to decreased productivity, lost profits, and even product recalls. That’s why it’s vital for manufacturers to pay close attention to every aspect of their production process.

For instance, First Pass Yield (FPY) is a key metric to measure how well the production process works. It indicates the percent of units produced that meet quality standard and pass through the production line with minimal rework or scrap.

A high FPY rate leads to higher productivity and improved output quality, while a low FPY rate may mean that costly rework and scrap are being produced.

In order to track the effectiveness of a production line, it’s crucial to monitor FPY on an ongoing basis. This can be done in various ways, including through visual inspection or using automated data capture systems such as sensors and barcode scanning.

By tracking FPY performance over time, manufacturers can identify areas for improvement and make changes to increase productivity and reduce waste.

When implementing FPY in a manufacturing setting, there can be some challenges that need to be addressed to ensure success. But when done correctly, it can help boost output quality and productivity.

If you are looking to implement FPY in your manufacturing process, read on to learn tips on how to do so successfully. The difference may be the difference between a successful and an unsuccessful manufacturing venture.

What is First Pass Yield?

First Pass Yield is the percentage of products or units that pass quality inspection on the first try and do not require any reworking. This metric is used to measure the efficiency of a production process and can be tracked over time to identify areas for improvement. FPY is usually determined by visual inspection or through automated data capture systems.

The primary way to measure the effectiveness of a production line is to track its FPY rate. High rates of FPY indicate that the process is working efficiently and producing quality output, while lower rates may mean that more rework or scrap needs to be done.

Consider the example of an assembly line that produces widgets. In the best-case scenario, all of the widgets would pass inspection on their first try, resulting in a 100% FPY rate.

However, reality is often more complicated, and some of the widgets will likely fail inspection due to minor flaws or defects. As parts fail inspection, the FPY rate will drop.

Knowing the FPY rate is essential for manufacturers, as it can help them identify areas of their production process that need improvement. For example, if the FPY rate is low in a particular section of the assembly line, this could indicate that the machines or processes used at this stage are not working correctly and need to be adjusted.

Formulating First Pass Yield

First Pass Yield is usually calculated as the number of products that pass quality inspection on the first try, divided by the total number of units produced.  The formula can be expressed as:

FPY = (good units + acceptable units) / total units produced

Good units are products that meet all quality requirements, while acceptable units are those that may have minor defects but still pass inspection. The FPY rate should be tracked over time to identify areas for improvement and make changes where necessary.

For instance, if the FPY rate for a particular production line is consistently low, it may be necessary to make changes to the process or equipment in order to improve output quality. Or, if there is a high rate of scrap, it may be necessary to reexamine the materials used in production or make changes to the equipment.

 

Metrics for First Pass Yield

In order to accurately track FPY performance, manufacturers must also be able to measure other key metrics. These include:

– Cycle time: This is the amount of time it takes for a product to pass through the production line from start to finish. It is an essential metric for tracking process efficiency and can help identify areas for improvement.

– Scrap rate: This metric measures the amount of scrap produced in relation to total units produced. If a high level of scrap is being generated, it may be necessary to reexamine materials used in production or make changes to the equipment.

– Rework rate: This is the rate at which products require rework, such as repairs or adjustments. If a high level of rework is required, it may be necessary to make changes to the process or equipment to reduce defects and improve output quality.

– Test rate: This is the rate at which products passing through the production line are tested for quality assurance. A higher test rate can help identify areas for improvement, as well as any potential defects.

How FPY Helps to Improve Manufacturing Output Quality and Productivity

While First Pass Yield can be implemented in any manufacturing process, it is especially beneficial for those producing high product volumes. By tracking the FPY rate over time, manufacturers can identify areas for improvement and make changes to increase productivity and reduce waste. These areas can include:

  1. Reducing setup time: Longer setup times can lead to increased scrap and rework, so minimizing this time is essential. By making changes such as streamlining processes or automating certain tasks, manufacturers can reduce setup time and improve FPY.For example, if a manufacturer manually sets up machines each time they switch to a new product, they can reduce setup time by automating the machine setup process. This, in turn, will lead to faster product cycle times and higher FPY. Setup time is essential in niche industries that utilize custom-fabricated products. A fast setup time ensures that the product gets to market faster and reduces the amount of scrap caused by incorrect settings. Or, when the same products are produced in large volumes, a more efficient setup process can help to reduce production costs and increase profits.
  2. Improving material selection: Poor material selection can lead to increased scrap and rework, lowering FPY rates. It’s essential for manufacturers to select the right materials for their production lines in order to reduce waste and improve output quality. For instance, if a manufacturer is producing products with plastic components, they should select the right grade of plastic for the specific application. This will ensure that the products are produced to specification and reduce rework due to poor material selection. And as a result, FPY rates will increase.
  3. Optimizing machine maintenance: Well-maintained machines are essential for achieving high output quality and productivity levels. It’s important to monitor the condition of machinery regularly and make any necessary repairs or adjustments to ensure that it is running efficiently and at full capacity. An area that often gets overlooked is machine calibration. If machines are not calibrated correctly, it can lead to inaccurate measurements or poor output quality.  By periodically calibrating the machines, manufacturers can ensure that they are producing accurate products and reduce scrap and rework due to incorrect measurements. This includes calibrating the machines to the proper specifications and tolerances for each product.
  4. Enhancing process control: Poor process control can lead to low output quality and high levels of scrap and rework. It’s important for manufacturers to monitor their processes closely to identify problems quickly and make changes where necessary. For example, if a manufacturer is producing products with tight tolerances, they should have measures to maintain them. This includes regularly monitoring the machine, inspecting products during production, and making any necessary adjustments in order to maintain product quality. One type of process control that can be used to improve FPY rates is Statistical Process Control (SPC). SPC tracks process inputs, outputs, and parameters over time to identify improvement areas. By using SPC, manufacturers can detect trends quickly and make adjustments where necessary in order to reduce scrap and rework and improve output quality. As a result, FPY rates will increase.

Potential Challenges and Tips for Implementing First Pass Yield in Manufacturing

While First Pass Yield can benefit manufacturing processes, some potential challenges may arise when implementing it. Let’s break down some of the challenges – as well as tips for overcoming them – that manufacturers may face when trying to improve their FPY rates.

1. First Yield Pass Requires Time and Resources to Implement

Manufacturing processes can be complex, and it can take time to identify areas for improvement. This means that implementing First Pass Yield requires resources such as time, money, and manpower in order to achieve the desired results. It’s important for manufacturers to allocate adequate resources toward improving their FPY rates in order to get the best possible results.

Fortunately, there are some steps manufacturers can take to reduce the time and resources needed for implementation:

  • Use data to identify areas for improvement: As mentioned earlier, Statistical Process Control (SPC) can be used to track process inputs, outputs, and parameters over time in order to identify trends. By using SPC, manufacturers can quickly detect areas of improvement and make adjustments where necessary.
  • Automate processes when possible: Automation can enable manufacturers to reduce manual labor and improve efficiency. Automating machine maintenance and calibration processes can help cut down on the time needed for implementation, allowing manufacturers to get better results in less time.
  • Leverage technology: Technologies such as artificial intelligence (AI) and machine learning (ML) can be used to automate processes and improve accuracy. By harnessing the power of AI and ML, manufacturers can utilize data to identify areas of improvement quickly and accurately.

2. First Pass Yield Requires Training

Another challenge that may arise when implementing First Pass Yield is the need to train personnel on how to use the system or tools effectively.

Personnel must understand the importance of First Pass Yield and how to use the tools and processes associated with it. Without the right training (e.g. digital work instructions), personnel may not be able to take advantage of the system or tools effectively, resulting in poor output quality and high levels of scrap and rework.

To overcome this challenge, manufacturers should provide comprehensive training for all personnel using the system. This should include an overview of First Pass Yield and how it can benefit the manufacturing process, as well as detailed instructions on properly using the system or tools.

Additionally, manufacturers may want to consider offering additional resources such as reference materials or online tutorials to ensure that personnel are properly trained and can use the system or tools effectively.

3. First Pass Yield Requires Ongoing Monitoring and Adjustments

Nothing is set in stone, and manufacturers must be willing to make adjustments when needed. First Pass Yield requires ongoing monitoring and adjustments in order to ensure that output quality is maintained and that the system or tools are being used effectively.

This means that personnel must be prepared to identify areas for improvement and make changes where necessary in order to get the best results from the system or tools.

In order to monitor First Pass Yield effectively, manufacturers should use different metrics such as defects per million (DPM), rework rate, and scrap rate. These metrics can help manufacturers identify areas for improvement and make adjustments where necessary to get the best possible output quality.

In addition, manufacturers should also consider investing in quality control tools such as SPC or Six Sigma to track process inputs, outputs, and parameters over time. These tools can help manufacturers detect trends quickly, which in turn can help them make the necessary adjustments to improve output quality and reduce scrap and rework rates.

Discover How First Pass Yield Can Help Your Manufacturing Process

First Pass Yield can offer a number of benefits to manufacturers, including improved quality and productivity. By understanding the concept and implementing the right tools, manufacturers can ensure that their processes are optimized for the best possible results.

Additionally, by providing comprehensive training and ongoing monitoring, manufacturers can ensure that personnel are using the system or tools effectively and that output quality is maintained. With these tips in mind, manufacturers can get the most out of their First Pass Yield system or tools and reap the rewards.

By taking the time to understand First Pass Yield and implementing it correctly, manufacturers can unlock a world of possibilities that can help them improve output quality and productivity. With the right approach, First Pass Yield can be an invaluable tool for any manufacturing process.

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