The gage R&R study is a commonly used tool in various industrial environments, and the automotive industry is arguably one of its biggest users. That should come as no surprise to anyone familiar with both that part of the industry as well as the study methodology, as there are some close connections between the two that make this type of study one of the best tools for gauging the performance of an auto plant.

Repeatability and reproducibility are, after all, critical parts of the work of an auto factory, and determining the variance in measurements with a great deal of precision can often go a long way in improving the overall output of the factory.

Not only that, but you’ll be able to get a better sense of how well your different instruments are aligned to your current workflow, something which many auto plants tend to lack to a severe extent. This is a common problem when a plant has to go through multiple different iterations of the same vehicle model, in which case a good overview of the current measurement instrumentation is absolutely critical.

Understanding the Relevance of Gage R&R in the Auto Industry

Understanding why this type of study is so important in the auto industry mostly boils down to understanding the meaning behind repeatability and reproducibility in the first place. These factors can play a critical role in the operations of many types of factories, but when it comes to an auto plant, they have to be controlled with a great deal of precision.

Repeatability is variation caused by the measurement device itself, and it’s related to the operator taking the measure. This makes it important to control who’s involved in different stages of your studies, as changing between different operators on the same workstation can have dramatic consequences on the validity of your results in the end.

On the other hand, reproducibility is variation caused by the system in which you’re working, and it can be replicated when working with different operators. When studying the reproducibility of your systems, you can safely exchange operators as necessary for the current test, as this will not have any impact on the final quality of your measurements.

The Evolving Nature of Measurement Instruments

A factor that’s going to play a central role in conducting a gage R&R study is the way your instruments themselves evolve over time. This can matter quite a lot when trying to align the results of multiple different studies, so make sure that you account for it in conducting each stage of the gage R&R study.

In some cases it can actually be a better idea to work with older instruments if they are better aligned to your testing practices, instead of trying to realign the tests to a new instrumentation set. This may seem counterproductive, but it’s one of the most commonly used approaches in many automotive factories, and a common technique across the industry as a whole. That is, at least for factories that rely on the gage R&R study in the first place.

Conclusion

There is a very tight link between the gage R&R study and the automotive industry, and understanding this connection can be very beneficial for anyone in a leadership position in an auto plant. There is often a lot to gain from studying the variation involved in your measurement practices, and the sooner you put some systems in place to track it and record how it changes over time, the better results you’re going to get in the long run when running your plant. This is especially true for plants that tend to work on multiple different models over time.

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The gage R&R study (repeatability and reproducibility) is a powerful technique for analyzing certain aspects of your business, especially if you want to get a deeper insight into the way certain systems are connected behind the scenes. In the end, if you conducted the study correctly, you should have a pretty good idea of the way your measuring systems work, and whether they’re capable of recognizing the important differences between certain parameters in the units they’re tracking.

In order to conduct a gage R&R study effectively, you have to make sure that the parameters you’re measuring are kept as constant as possible for the duration of the study, and that there is no random variance introduced from external factors either.

This is perhaps the most challenging part of the process, and once you’ve overcome that hurdle, you should be able to get the study done without any significant issues.

Keeping Variance to a Minimum

You’re trying to determine how well a measuring system handles its task, especially when it comes to certain degrees of variance between the units being measured. This means that you will need to take some baseline measurements to compare against, and study the machine’s output at each stage.

Naturally, you’ll want to ensure that nothing is changed outside of your control while conducting the study. This can include a machine with significant variance in its output, other measuring tools interfering with the gage R&R study, as well as operators introducing variance into the system.

This makes it important to get everyone on board when conducting the study, rather than only involving top-level leaders. While you might think that a gage R&R study is only relevant to the ones leading the company, it’s still important to warn those below to prevent them from making mistakes that can affect the variance of the process.

Consolidating Different Measurement Systems

Another important factor to consider is what your approach should be in case there are several different measurement systems in place and you need to make sure that the performance of all is measured accordingly. The situation will be different depending on whether you have one, two or more different systems that have to be tested simultaneously, and you may even need to conduct more than one study instead of capturing all data in one run.

The important thing here is to not rush, and remember that you’re trying to collect data from different sources that can still be compiled into one common set. If you need more time to gather certain data points, do things properly. Otherwise, you may find yourself repeating the study anyway, but only because you have to start from scratch and haven’t managed to gain any useful information from your last run.

This is more common than you might think, and it’s a frequently occurring problem for some companies, especially ones where the leadership is not familiar with conducting a gage R&R study. Once you’ve built up some experience and intuition about this, you should find the process to be much easier than it initially seems.

Conclusion

The way you run a gage R&R study on your business can have a significant impact on your future performance on the market. There are many different factors that can impact how your study goes, and it’s important to be aware of changes that you’ll have to make in case there are multiple measurement systems that have to be consolidated. Avoiding variance during the testing itself or at least keeping it to a minimum is also a good idea if you don’t want to have to repeat the whole process later on due to invalid data.

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